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1,615 results on '"Brodaty H"'

101. Differential longitudinal changes in structural complexity and volumetric measures in community-dwelling older individuals

Author: Liu, H, Liu, T, Jiang, J, Cheng, J, Liu, Y, Li, D, Dong, C, Niu, H, Li, S, Zhang, J, Brodaty, H, Sachdev, P, Wen, W, Liu, H, Liu, T, Jiang, J, Cheng, J, Liu, Y, Li, D, Dong, C, Niu, H, Li, S, Zhang, J, Brodaty, H, Sachdev, P, and Wen, W
Published: 2020

102. Longitudinal Changes in Whole-Brain Functional Connectivity Strength Patterns and the Relationship With the Global Cognitive Decline in Older Adults

Author: Li, Q, Dong, C, Liu, T, Chen, X, Perry, A, Jiang, J, Cheng, J, Niu, H, Kochan, NA, Brodaty, H, Sachdev, PS, Wen, W, Li, Q, Dong, C, Liu, T, Chen, X, Perry, A, Jiang, J, Cheng, J, Niu, H, Kochan, NA, Brodaty, H, Sachdev, PS, and Wen, W
Abstract: Aging is associated with changes in brain functional patterns as well as cognition. The present research sought to investigate longitudinal changes in whole brain functional connectivity strength (FCS) and cognitive performance scores in very old cognitively unimpaired individuals. We studied 34 cognitively normal elderly individuals at both baseline and 4-year follow-up (baseline age = 78 ± 3.14 years) with resting-state functional magnetic resonance imaging (r-fMRI), structural MRI scans, and neuropsychological assessments conducted. Voxel-based whole brain FCS was calculated and we found that bilateral superior parietal and medial frontal regions showed decreased FCS, while the supplementary motor area (SMA) and insula showed increased FCS with age, along with a decrease in bilateral prefrontal cortical thickness. The changes of FCS in left precuneus were associated with an aging-related decline in global cognition. Taken together, our results suggest changes in FCS with aging with the precuneus as a hub and this may underlie changes in global cognition that accompany aging. These findings help better understand the normal aging mechanism.
Published: 2020

103. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information

Author: Lancaster, R, Radd‐Vagenas, S, Fiatarone Singh, M, Noble, Y, Daniel, K, Mavros, Y, Sachdev, PS, Lautenschlager, N, Cox, K, Brodaty, H, O'Leary, F, Flood, VM, Lancaster, R, Radd‐Vagenas, S, Fiatarone Singh, M, Noble, Y, Daniel, K, Mavros, Y, Sachdev, PS, Lautenschlager, N, Cox, K, Brodaty, H, O'Leary, F, and Flood, VM
Published: 2020

104. An investigation of antihypertensive class, dementia, and cognitive decline

Author: Peters, R, Yasar, S, Anderson, CS, Andrews, S, Antikainen, R, Arima, H, Beckett, N, Beer, JC, Bertens, AS, Booth, A, van Boxtel, M, Brayne, C, Brodaty, H, Carlson, MC, Chalmers, J, Corrada, M, DeKosky, S, Derby, C, Dixon, RA, Forette, F, Ganguli, M, van Gool, WA, Guaita, A, Hever, AM, Hogan, DB, Jagger, C, Katz, M, Kawas, C, Kehoe, PG, Keinanen-Kiukaanniemi, S, Kenny, RA, Köhler, S, Kunutsor, SK, Laukkanen, J, Maxwell, C, McFall, GP, van Middelaar, T, Moll van Charante, EP, Ng, T-P, Peters, J, Rawtaer, I, Richard, E, Rockwood, K, Rydén, L, Sachdev, PS, Skoog, I, Skoog, J, Staessen, JA, Stephan, BCM, Sebert, S, Thijs, L, Trompet, S, Tully, PJ, Tzourio, C, Vaccaro, R, Vaaramo, E, Walsh, E, Warwick, J, Anstey, KJ, Peters, R, Yasar, S, Anderson, CS, Andrews, S, Antikainen, R, Arima, H, Beckett, N, Beer, JC, Bertens, AS, Booth, A, van Boxtel, M, Brayne, C, Brodaty, H, Carlson, MC, Chalmers, J, Corrada, M, DeKosky, S, Derby, C, Dixon, RA, Forette, F, Ganguli, M, van Gool, WA, Guaita, A, Hever, AM, Hogan, DB, Jagger, C, Katz, M, Kawas, C, Kehoe, PG, Keinanen-Kiukaanniemi, S, Kenny, RA, Köhler, S, Kunutsor, SK, Laukkanen, J, Maxwell, C, McFall, GP, van Middelaar, T, Moll van Charante, EP, Ng, T-P, Peters, J, Rawtaer, I, Richard, E, Rockwood, K, Rydén, L, Sachdev, PS, Skoog, I, Skoog, J, Staessen, JA, Stephan, BCM, Sebert, S, Thijs, L, Trompet, S, Tully, PJ, Tzourio, C, Vaccaro, R, Vaaramo, E, Walsh, E, Warwick, J, and Anstey, KJ
Published: 2020

105. Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI

Author: Broadhouse, KM, Singh, MF, Suo, C, Gates, N, Wen, W, Brodaty, H, Jain, N, Wilson, GC, Meiklejohn, J, Singh, N, Baune, BT, Baker, M, Foroughi, N, Wang, Y, Kochan, N, Ashton, K, Brown, M, Li, Z, Mavros, Y, Sachdev, PS, Valenzuela, M, Broadhouse, KM, Singh, MF, Suo, C, Gates, N, Wen, W, Brodaty, H, Jain, N, Wilson, GC, Meiklejohn, J, Singh, N, Baune, BT, Baker, M, Foroughi, N, Wang, Y, Kochan, N, Ashton, K, Brown, M, Li, Z, Mavros, Y, Sachdev, PS, and Valenzuela, M
Published: 2020

106. Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

Author: Zhang, Q., Sidorenko, J., Couvy-Duchesne, B., Marioni, R.E., Wright, M.J., Goate, A.M., Marcora, E., Huang, K-l, Porter, T., Laws, S.M., Sachdev, P.S., Mather, K.A., Armstrong, N.J., Thalamuthu, A., Brodaty, H., Yengo, L., Yang, J., Wray, N.R., McRae, A.F., Visscher, P.M., Zhang, Q., Sidorenko, J., Couvy-Duchesne, B., Marioni, R.E., Wright, M.J., Goate, A.M., Marcora, E., Huang, K-l, Porter, T., Laws, S.M., Sachdev, P.S., Mather, K.A., Armstrong, N.J., Thalamuthu, A., Brodaty, H., Yengo, L., Yang, J., Wray, N.R., McRae, A.F., and Visscher, P.M.
Abstract: Genetic association studies have identified 44 common genome-wide significant risk loci for late-onset Alzheimer’s disease (LOAD). However, LOAD genetic architecture and prediction are unclear. Here we estimate the optimal P-threshold (Poptimal) of a genetic risk score (GRS) for prediction of LOAD in three independent datasets comprising 676 cases and 35,675 family history proxy cases. We show that the discriminative ability of GRS in LOAD prediction is maximised when selecting a small number of SNPs. Both simulation results and direct estimation indicate that the number of causal common SNPs for LOAD may be less than 100, suggesting LOAD is more oligogenic than polygenic. The best GRS explains approximately 75% of SNP-heritability, and individuals in the top decile of GRS have ten-fold increased odds when compared to those in the bottom decile. In addition, 14 variants are identified that contribute to both LOAD risk and age at onset of LOAD.
Published: 2020

107. A cross-national study of depression in preclinical dementia: A COSMIC collaboration study

Author: Carles, S, Carrière, I, Reppermund, S, Davin, A, Guaita, A, Vaccaro, R, Ganguli, M, Jacobsen, EP, Beer, JC, Riedel-Heller, SG, Roehr, S, Pabst, A, Haan, MN, Brodaty, H, Kochan, NA, Trollor, JN, Kim, KW, Han, JW, Suh, SW, Lobo, A, la Camara, CD, Lobo, E, Lipnicki, DM, Sachdev, PS, Ancelin, ML, Ritchie, K, Carles, S, Carrière, I, Reppermund, S, Davin, A, Guaita, A, Vaccaro, R, Ganguli, M, Jacobsen, EP, Beer, JC, Riedel-Heller, SG, Roehr, S, Pabst, A, Haan, MN, Brodaty, H, Kochan, NA, Trollor, JN, Kim, KW, Han, JW, Suh, SW, Lobo, A, la Camara, CD, Lobo, E, Lipnicki, DM, Sachdev, PS, Ancelin, ML, and Ritchie, K
Abstract: Introduction: Depression commonly accompanies Alzheimer's disease, but the nature of this association remains uncertain. Methods: Longitudinal data from the COSMIC consortium were harmonized for eight population-based cohorts from four continents. Incident dementia was diagnosed in 646 participants, with a median follow-up time of 5.6 years to diagnosis. The association between years to dementia diagnosis and successive depressive states was assessed using a mixed effect logistic regression model. A generic inverse variance method was used to group study results, construct forest plots, and generate heterogeneity statistics. Results: A common trajectory was observed showing an increase in the incidence of depression as the time to dementia diagnosis decreased despite cross-national variability in depression rates. Discussion: The results support the hypothesis that depression occurring in the preclinical phases of dementia is more likely to be attributable to dementia-related brain changes than environment or reverse causality.
Published: 2020

108. Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study

Author: Beaudet, G, Tsuchida, A, Petit, L, Tzourio, C, Caspers, S, Schreiber, J, Pausova, Z, Patel, Y, Paus, T, Schmidt, R, Pirpamer, L, Sachdev, PS, Brodaty, H, Kochan, N, Trollor, J, Wen, W, Armstrong, NJ, Deary, IJ, Bastin, ME, Wardlaw, JM, Munõz Maniega, S, Witte, AV, Villringer, A, Duering, M, Debette, S, Mazoyer, B, Beaudet, G, Tsuchida, A, Petit, L, Tzourio, C, Caspers, S, Schreiber, J, Pausova, Z, Patel, Y, Paus, T, Schmidt, R, Pirpamer, L, Sachdev, PS, Brodaty, H, Kochan, N, Trollor, J, Wen, W, Armstrong, NJ, Deary, IJ, Bastin, ME, Wardlaw, JM, Munõz Maniega, S, Witte, AV, Villringer, A, Duering, M, Debette, S, and Mazoyer, B
Abstract: Parameters of water diffusion in white matter derived from diffusion-weighted imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean diffusivity (PSMD), have been proposed as potential markers of normal and pathological brain ageing. However, their relative evolution over the entire adult lifespan in healthy individuals remains partly unknown during early and late adulthood, and particularly for the PSMD index. Here, we gathered and analyzed cross-sectional diffusion tensor imaging (DTI) data from 10 population-based cohort studies in order to establish the time course of white matter water diffusion phenotypes from post-adolescence to late adulthood. DTI data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years and analyzed with the same pipeline for computing skeletonized DTI metrics from DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD values distribution across the FA skeleton. Mean values of each DTI metric were found to strongly vary across cohorts, most likely due to major differences in DWI acquisition protocols as well as pre-processing and DTI model fitting. However, age effects on each DTI metric were found to be highly consistent across cohorts. RD, MD, and AD variations with age exhibited the same U-shape pattern, first slowly decreasing during post-adolescence until the age of 30, 40, and 50 years, respectively, then progressively increasing until late life. FA showed a reverse profile, initially increasing then continuously decreasing, slowly until the 70s, then sharply declining thereafter. By contrast, PSMD constantly increased, first slowly until the 60s, then more sharply. These results demonstrate that, in the general population, age affects PSMD in a manner different from that of other DTI metrics. The constant incre
Published: 2020

109. Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities

Author: Armstrong, N.J., Mather, K.A., Sargurupremraj, M., Knol, M.J., Malik, R., Satizabal, C.L., Yanek, L.R., Wen, W., Gudnason, V.G., Dueker, N.D., Elliott, L.T., Hofer, E., Bis, J., Jahanshad, N., Li, S., Logue, M.A., Luciano, M., Scholz, M., Smith, A.V., Trompet, S., Vojinovic, D., Xia, R., Alfaro-Almagro, F., Ames, D., Amin, N., Amouyel, P., Beiser, A.S., Brodaty, H., Deary, I.J., Fennema-Notestine, C., Gampawar, P.G., Gottesman, R., Griffanti, L., Jack, C.R., Jenkinson, M., Jiang, J., Kral, B.G., Kwok, J.B., Lampe, L., Liewald, D.C.M., Maillard, P., Marchini, J., Bastin, M.E., Mazoyer, B., Pirpamer, L., Romero, J.R., Roshchupkin, G.V., Schofield, P.R., Schroeter, M.L., Stott, D.J., Thalamuthu, A., Trollor, J., Tzourio, C., Van der Grond, J., Vernooij, M.W., Witte, V.A., Wright, M.J., Yang, Q., Morris, Z., Siggurdsson, S., Psaty, B.M., Villringer, A., Schmidt, H., Håberg, A.K., van Duijn, C.M., Jukema, J.W., Dichgans, M., Sacco, R.L., Wright, C.B., Kremen, W.S., Becker, L.C., Thompson, P.M., Mosley, T.H., Wardlaw, J.M., Ikram, M.A., Adams, H.H.H., Seshadri, S., Sachdev, P.S., Smith, S.M., Launer, L., Longstreth, W.T., DeCarli, C., Schmidt, R., Fornage, M., Debette, S., Nyquist, P.A., Armstrong, N.J., Mather, K.A., Sargurupremraj, M., Knol, M.J., Malik, R., Satizabal, C.L., Yanek, L.R., Wen, W., Gudnason, V.G., Dueker, N.D., Elliott, L.T., Hofer, E., Bis, J., Jahanshad, N., Li, S., Logue, M.A., Luciano, M., Scholz, M., Smith, A.V., Trompet, S., Vojinovic, D., Xia, R., Alfaro-Almagro, F., Ames, D., Amin, N., Amouyel, P., Beiser, A.S., Brodaty, H., Deary, I.J., Fennema-Notestine, C., Gampawar, P.G., Gottesman, R., Griffanti, L., Jack, C.R., Jenkinson, M., Jiang, J., Kral, B.G., Kwok, J.B., Lampe, L., Liewald, D.C.M., Maillard, P., Marchini, J., Bastin, M.E., Mazoyer, B., Pirpamer, L., Romero, J.R., Roshchupkin, G.V., Schofield, P.R., Schroeter, M.L., Stott, D.J., Thalamuthu, A., Trollor, J., Tzourio, C., Van der Grond, J., Vernooij, M.W., Witte, V.A., Wright, M.J., Yang, Q., Morris, Z., Siggurdsson, S., Psaty, B.M., Villringer, A., Schmidt, H., Håberg, A.K., van Duijn, C.M., Jukema, J.W., Dichgans, M., Sacco, R.L., Wright, C.B., Kremen, W.S., Becker, L.C., Thompson, P.M., Mosley, T.H., Wardlaw, J.M., Ikram, M.A., Adams, H.H.H., Seshadri, S., Sachdev, P.S., Smith, S.M., Launer, L., Longstreth, W.T., DeCarli, C., Schmidt, R., Fornage, M., Debette, S., and Nyquist, P.A.
Abstract: Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods: Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. Results: In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. Conclusions: Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was mo
Published: 2020

110. Global and regional development of the human cerebral cortex: Molecular architecture and occupational aptitudes

Author: Paus, T., Seshadri, S., Pausova, Z., Sestan, N., Jahanshad, N., Ding, L., Kremen, W.S., Franz, C.E., Gillespie, N.A., Debette, S., Maingault, S., Mishra, A., Tzourio, C., Grabe, H.J., Bülow, R., Wittfeld, K., van der -Palitschka, S., Frenzel, S., Ikram, M.A., Adams, H.H.H.H., Evans, T.E., Terzikhan, N., Sachdev, P.S., Wen, W., Brodaty, H., Wright, M.J., Trollor, J.N., Thalamuthu, A., Schofield, P.R., Kwok, J.B., Jiang, J., Ames, D., Mather, K.A., Armstrong, N.J., Villringer, A., Beyer, F., Witte, A.V., Loeffler, M., Scholz, M., Deary, I.E., Wardlaw, J.M., Harris, M.A., Bastin, M.E., Lewis, L., Karama, S., Luciano, M., Yang, Q., Li, S., Bis, J.C., Mazoyer, B., Crivello, F., Carrion-Castillo, A., Schmidt, H., Schmidt, R., Pirpamer, L., Saba, Y., Fornage, M., Mosley, T.H., Gottesman, R., Jian, X., Sousa, A.M.M., Roshchupkin, G.V., Tilley, S., Vosberg, D.E., Patel, Y., Hofer, E., Ma, S., Shin, J., Paus, T., Seshadri, S., Pausova, Z., Sestan, N., Jahanshad, N., Ding, L., Kremen, W.S., Franz, C.E., Gillespie, N.A., Debette, S., Maingault, S., Mishra, A., Tzourio, C., Grabe, H.J., Bülow, R., Wittfeld, K., van der -Palitschka, S., Frenzel, S., Ikram, M.A., Adams, H.H.H.H., Evans, T.E., Terzikhan, N., Sachdev, P.S., Wen, W., Brodaty, H., Wright, M.J., Trollor, J.N., Thalamuthu, A., Schofield, P.R., Kwok, J.B., Jiang, J., Ames, D., Mather, K.A., Armstrong, N.J., Villringer, A., Beyer, F., Witte, A.V., Loeffler, M., Scholz, M., Deary, I.E., Wardlaw, J.M., Harris, M.A., Bastin, M.E., Lewis, L., Karama, S., Luciano, M., Yang, Q., Li, S., Bis, J.C., Mazoyer, B., Crivello, F., Carrion-Castillo, A., Schmidt, H., Schmidt, R., Pirpamer, L., Saba, Y., Fornage, M., Mosley, T.H., Gottesman, R., Jian, X., Sousa, A.M.M., Roshchupkin, G.V., Tilley, S., Vosberg, D.E., Patel, Y., Hofer, E., Ma, S., and Shin, J.
Abstract: We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade—albeit in a very limited manner—to behaviors as complex as the choice of one’s occupation.
Published: 2020

111. The genetic architecture of the human cerebral cortex

Author: Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R.K., McMahon, M.A.B., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A.A., Alnæs, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bülow, R., Bürger, C., Cannon, D.M., Chakravarty, M.M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., de Araujo, T.K., de Zubicaray, G.I., de Zwarte, S.M.C., den Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H-R, Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, M.A., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J-J, Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Krämer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Mirza-Schreiber, N., Moreira, J.C.V., Mühleisen, T.W., Müller-Myhsok, B., Najt, P., Nakahara, S., Nho, K., Olde Loohuis, L.M., Orfanos, D.P., Pearson, J.F., Pitcher, T.L., Pütz, B., Quidé, Y., Ragothaman, A., Rashid, F.M., Reay, W.R., Redlich, R., Reinbold, C.S., Repple, J., Richard, G., Riedel, B.C., Risacher, S.L., Rocha, C.S., Mota, N.R., Salminen, L., Saremi, A., Saykin, A.J., Schlag, F., Schmaal, L., Schofield, P.R., Secolin, R., Shapland, C.Y., Shen, L., Shin, J., Shumskaya, E., Sønderby, I.E., Sprooten, E., Tansey, K.E., Teumer, A., Thalamuthu, A., Tordesillas-Gutierrez, D., Turner, J.A., Uhlmann, A., Vallerga, C.L., van der Meer, D., van Donkelaar, M.M.J., van Eijk, L., Van Erp, T.G.M., van Haren, N.E.M., Van Rooij, D., van Tol, M-J, Veldink, J.H., Verhoef, E., Walton, E., Wang, M., Wang, Y., Wardlaw, J.M., Wen, W., Westlye, L.T., Whelan, C.D., Witt, S.H., Wittfeld, K., Wolf, C., Wolfers, T., Wu, J.Q., Yasuda, C.L., Zaremba, D., Zhang, Z., Zwiers, M.P., Artiges, E., Assareh, A.A., Ayesa-Arriola, R., Belger, A., Brandt, C.L., Brown, G.G., Cichon, S., Curran, J.E., Davies, G.E., Degenhardt, F., Dennis, M.F., Dietsche, B., Djurovic, S., Doherty, C.P., Espiritu, R., Garijo, D., Gil, Y., Gowland, P.A., Green, R.C., Häusler, A.N., Heindel, W., Ho, B-C., Hoffmann, W.U., Holsboer, F., Homuth, G., Hosten, N., Jack, C.R., Jang, M., Jansen, A., Kimbrel, N.A., Kolskår, K., Koops, S., Krug, A., Lim, K.O., Luykx, J.J., Mathalon, D.H., Mather, K.A., Mattay, V.S., Matthews, S., Mayoral Van Son, J., McEwen, S.C., Melle, I., Morris, D.W., Mueller, B.A., Nauck, M., Nordvik, J.E., Nöthen, M.M., O’Leary, D.S., Opel, N., Martinot, M-L.P., Pike, G.B., Preda, A., Quinlan, E.B., Rasser, P.E., Ratnakar, V., Reppermund, S., Steen, V.M., Tooney, P.A., Torres, F.R., Veltman, D.J., Voyvodic, J.T., Whelan, R., White, T., Yamamori, H., Adams, H.H.H., Bis, J.C., Debette, S., DeCarli, C., Fornage, M., Gudnason, V., Hofer, E., Ikram, M.A., Launer, L., Longstreth, W.T., Lopez, O.L., Mazoyer, B., Mosley, T.H., Roshchupkin, G.V., Satizabal, C.L., Schmidt, R., Seshadri, S., Yang, Q., Alvim, M.K.M., Ames, D., Anderson, T.J., Andreassen, O.A., Arias-Vasquez, A., Bastin, M.E., Baune, B.T., Beckham, J.C., Blangero, J., Boomsma, D.I., Brodaty, H., Brunner, H.G., Buckner, R.L., Buitelaar, J.K., Bustillo, J.R., Cahn, W., Cairns, M.J., Calhoun, V., Carr, V.J., Caseras, X., Caspers, S., Cavalleri, G.L., Cendes, F., Corvin, A., Crespo-Facorro, B., Dalrymple-Alford, J.C., Dannlowski, U., de Geus, E.J.C., Deary, I.J., Delanty, N., Depondt, C., Desrivières, S., Donohoe, G., Espeseth, T., Fernández, G., Fisher, S.E., Flor, H., Forstner, A.J., Francks, C., Franke, B., Glahn, D.C., Gollub, R.L., Grabe, H.J., Gruber, O., Håberg, A.K., Hariri, A.R., Hartman, C.A., Hashimoto, R., Heinz, A., Henskens, F.A., Hillegers, M.H.J., Hoekstra, P.J., Holmes, A.J., Hong, L.E., Hopkins, W.D., Hulshoff Pol, H.E., Jernigan, T.L., Jönsson, E.G., Kahn, R.S., Kennedy, M.A., Kircher, T.T.J., Kochunov, P., Kwok, J.B.J., Le Hellard, S., Loughland, C.M., Martin, N.G., Martinot, J-L, McDonald, C., McMahon, K.L., Meyer-Lindenberg, A., Michie, P.T., Morey, R.A., Mowry, B., Nyberg, L., Oosterlaan, J., Ophoff, R.A., Pantelis, C., Paus, T., Pausova, Z., Penninx, B.W.J.H., Polderman, T.J.C., Posthuma, D., Rietschel, M., Roffman, J.L., Rowland, L.M., Sachdev, P.S., Sämann, P.G., Schall, U., Schumann, G., Scott, R.J., Sim, K., Sisodiya, S.M., Smoller, J.W., Sommer, I.E., St Pourcain, B., Stein, D.J., Toga, A.W., Trollor, J.N., van der Wee, N.J.A., van ’t Ent, D., Völzke, H., Walter, H., Weber, B., Weinberger, D.R., Wright, M.J., Zhou, J., Stein, J.L., Thompson, P.M., Medland, S.E., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R.K., McMahon, M.A.B., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A.A., Alnæs, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bülow, R., Bürger, C., Cannon, D.M., Chakravarty, M.M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., de Araujo, T.K., de Zubicaray, G.I., de Zwarte, S.M.C., den Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H-R, Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, M.A., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J-J, Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Krämer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Mirza-Schreiber, N., Moreira, J.C.V., Mühleisen, T.W., Müller-Myhsok, B., Najt, P., Nakahara, S., Nho, K., Olde Loohuis, L.M., Orfanos, D.P., Pearson, J.F., Pitcher, T.L., Pütz, B., Quidé, Y., Ragothaman, A., Rashid, F.M., Reay, W.R., Redlich, R., Reinbold, C.S., Repple, J., Richard, G., Riedel, B.C., Risacher, S.L., Rocha, C.S., Mota, N.R., Salminen, L., Saremi, A., Saykin, A.J., Schlag, F., Schmaal, L., Schofield, P.R., Secolin, R., Shapland, C.Y., Shen, L., Shin, J., Shumskaya, E., Sønderby, I.E., Sprooten, E., Tansey, K.E., Teumer, A., Thalamuthu, A., Tordesillas-Gutierrez, D., Turner, J.A., Uhlmann, A., Vallerga, C.L., van der Meer, D., van Donkelaar, M.M.J., van Eijk, L., Van Erp, T.G.M., van Haren, N.E.M., Van Rooij, D., van Tol, M-J, Veldink, J.H., Verhoef, E., Walton, E., Wang, M., Wang, Y., Wardlaw, J.M., Wen, W., Westlye, L.T., Whelan, C.D., Witt, S.H., Wittfeld, K., Wolf, C., Wolfers, T., Wu, J.Q., Yasuda, C.L., Zaremba, D., Zhang, Z., Zwiers, M.P., Artiges, E., Assareh, A.A., Ayesa-Arriola, R., Belger, A., Brandt, C.L., Brown, G.G., Cichon, S., Curran, J.E., Davies, G.E., Degenhardt, F., Dennis, M.F., Dietsche, B., Djurovic, S., Doherty, C.P., Espiritu, R., Garijo, D., Gil, Y., Gowland, P.A., Green, R.C., Häusler, A.N., Heindel, W., Ho, B-C., Hoffmann, W.U., Holsboer, F., Homuth, G., Hosten, N., Jack, C.R., Jang, M., Jansen, A., Kimbrel, N.A., Kolskår, K., Koops, S., Krug, A., Lim, K.O., Luykx, J.J., Mathalon, D.H., Mather, K.A., Mattay, V.S., Matthews, S., Mayoral Van Son, J., McEwen, S.C., Melle, I., Morris, D.W., Mueller, B.A., Nauck, M., Nordvik, J.E., Nöthen, M.M., O’Leary, D.S., Opel, N., Martinot, M-L.P., Pike, G.B., Preda, A., Quinlan, E.B., Rasser, P.E., Ratnakar, V., Reppermund, S., Steen, V.M., Tooney, P.A., Torres, F.R., Veltman, D.J., Voyvodic, J.T., Whelan, R., White, T., Yamamori, H., Adams, H.H.H., Bis, J.C., Debette, S., DeCarli, C., Fornage, M., Gudnason, V., Hofer, E., Ikram, M.A., Launer, L., Longstreth, W.T., Lopez, O.L., Mazoyer, B., Mosley, T.H., Roshchupkin, G.V., Satizabal, C.L., Schmidt, R., Seshadri, S., Yang, Q., Alvim, M.K.M., Ames, D., Anderson, T.J., Andreassen, O.A., Arias-Vasquez, A., Bastin, M.E., Baune, B.T., Beckham, J.C., Blangero, J., Boomsma, D.I., Brodaty, H., Brunner, H.G., Buckner, R.L., Buitelaar, J.K., Bustillo, J.R., Cahn, W., Cairns, M.J., Calhoun, V., Carr, V.J., Caseras, X., Caspers, S., Cavalleri, G.L., Cendes, F., Corvin, A., Crespo-Facorro, B., Dalrymple-Alford, J.C., Dannlowski, U., de Geus, E.J.C., Deary, I.J., Delanty, N., Depondt, C., Desrivières, S., Donohoe, G., Espeseth, T., Fernández, G., Fisher, S.E., Flor, H., Forstner, A.J., Francks, C., Franke, B., Glahn, D.C., Gollub, R.L., Grabe, H.J., Gruber, O., Håberg, A.K., Hariri, A.R., Hartman, C.A., Hashimoto, R., Heinz, A., Henskens, F.A., Hillegers, M.H.J., Hoekstra, P.J., Holmes, A.J., Hong, L.E., Hopkins, W.D., Hulshoff Pol, H.E., Jernigan, T.L., Jönsson, E.G., Kahn, R.S., Kennedy, M.A., Kircher, T.T.J., Kochunov, P., Kwok, J.B.J., Le Hellard, S., Loughland, C.M., Martin, N.G., Martinot, J-L, McDonald, C., McMahon, K.L., Meyer-Lindenberg, A., Michie, P.T., Morey, R.A., Mowry, B., Nyberg, L., Oosterlaan, J., Ophoff, R.A., Pantelis, C., Paus, T., Pausova, Z., Penninx, B.W.J.H., Polderman, T.J.C., Posthuma, D., Rietschel, M., Roffman, J.L., Rowland, L.M., Sachdev, P.S., Sämann, P.G., Schall, U., Schumann, G., Scott, R.J., Sim, K., Sisodiya, S.M., Smoller, J.W., Sommer, I.E., St Pourcain, B., Stein, D.J., Toga, A.W., Trollor, J.N., van der Wee, N.J.A., van ’t Ent, D., Völzke, H., Walter, H., Weber, B., Weinberger, D.R., Wright, M.J., Zhou, J., Stein, J.L., Thompson, P.M., and Medland, S.E.
Abstract: INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 306 nominally genome-wide significant loci (P < 5 × 10−8) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 299 loci for which replication data were available, 241 loci influencing surface area and 14 influencing thickness remained significant after replication, with 199 loci passing multiple testing correction (P < 8.3 × 10−10; 187 influencing surface area and 12 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation (rG = −0.32, SE = 0.05, P = 6.5 × 10−12), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When co
Published: 2020

112. Reduced strength, poor balance and concern about falls mediate the relationship between knee pain and fall risk in older people

Author: Hicks, C, Levinger, P, Menant, JC, Lord, SR, Sachdev, PS, Brodaty, H, Sturnieks, DL, Hicks, C, Levinger, P, Menant, JC, Lord, SR, Sachdev, PS, Brodaty, H, and Sturnieks, DL
Abstract: Background: Pain is an independent risk factor for falling. One in two older community-dwelling people with musculoskeletal pain fall each year. This study examined physical, psychological and medical factors as potential mediators to explain the relationship between knee pain and falls. Methods: Three hundred and thirty-three community-dwelling people aged 70+ years (52% women) participated in this cohort study with a 1-year follow-up for falls. Participants completed questionnaires (medical history, general health and concern about falls) and underwent physical performance tests. Participants were classified into 'pain' and 'no pain' groups based on self-reported knee pain. Poisson Regression models were computed to determine the Relative Risk (RR) of having multiple falls and potential mediators for increased fall risk. Results: One hundred and eighteen (36%) participants were categorised as having knee pain. This group took more medications and had more medical conditions (P < 0.01) compared to the no pain group. The pain group had poorer balance, physical function and strength and reported increased concern about falls. Sixty one participants (20%) reported ≥2 falls, with the pain group twice as likely to experience multiple falls over the 12 month follow up (RR = 2.0, 95% confidence interval (CI) = 1.27-3.13). Concern about falls, knee extension torque and postural sway with eyes closed were identified as significant and independent mediators of fall risk, and when combined explained 23% of the relationship between knee pain and falls. Conclusion: This study has identified several medical, medication, psychological, sensorimotor, balance and mobility factors to be associated with knee pain, and found the presence of knee pain doubles the risk of multiple falls in older community living people. Alleviating knee pain, as well as addressing associated risk factors may assist in preventing falls in older people with knee pain.
Published: 2020

113. Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes

Author: Shin, J, Ma, S, Hofer, E, Patel, Y, Vosberg, DE, Tilley, S, Roshchupkin, G, Sousa, AMM, Jian, X, Gottesman, R, Mosley, TH, Fornage, M, Saba, Y, Pirpamer, L, Schmidt, R, Schmidt, H, Carrion-Castillo, A, Crivello, F, Mazoyer, B, Bis, JC, Li, S, Yang, Q, Luciano, M, Karama, S, Lewis, L, Bastin, ME, Harris, MA, Wardlaw, JM, Deary, IE, Scholz, M, Loeffler, M, Witte, AV, Beyer, F, Villringer, A, Armstrong, NJ, Mather, KA, Ames, D, Jiang, J, Kwok, JB, Schofield, PR, Thalamuthu, A, Trollor, JN, Wright, MJ, Brodaty, H, Wen, W, Sachdev, PS, Terzikhan, N, Evans, TE, Adams, HHHH, Ikram, MA, Frenzel, S, Van der Auwera-Palitschka, S, Wittfeld, K, Bulow, R, Grabe, HJ, Tzourio, C, Mishra, A, Maingault, S, Debette, S, Gillespie, NA, Franz, CE, Kremen, WS, Ding, L, Jahanshad, N, Sestan, N, Pausova, Z, Seshadri, S, Paus, T, Shin, J, Ma, S, Hofer, E, Patel, Y, Vosberg, DE, Tilley, S, Roshchupkin, G, Sousa, AMM, Jian, X, Gottesman, R, Mosley, TH, Fornage, M, Saba, Y, Pirpamer, L, Schmidt, R, Schmidt, H, Carrion-Castillo, A, Crivello, F, Mazoyer, B, Bis, JC, Li, S, Yang, Q, Luciano, M, Karama, S, Lewis, L, Bastin, ME, Harris, MA, Wardlaw, JM, Deary, IE, Scholz, M, Loeffler, M, Witte, AV, Beyer, F, Villringer, A, Armstrong, NJ, Mather, KA, Ames, D, Jiang, J, Kwok, JB, Schofield, PR, Thalamuthu, A, Trollor, JN, Wright, MJ, Brodaty, H, Wen, W, Sachdev, PS, Terzikhan, N, Evans, TE, Adams, HHHH, Ikram, MA, Frenzel, S, Van der Auwera-Palitschka, S, Wittfeld, K, Bulow, R, Grabe, HJ, Tzourio, C, Mishra, A, Maingault, S, Debette, S, Gillespie, NA, Franz, CE, Kremen, WS, Ding, L, Jahanshad, N, Sestan, N, Pausova, Z, Seshadri, S, and Paus, T
Abstract: We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade-albeit in a very limited manner-to behaviors as complex as the choice of one's occupation.
Published: 2020

114. Greater male than female variability in regional brain structure across the lifespan

Author: Wierenga, LM, Doucet, GE, Dima, D, Agartz, I, Aghajani, M, Akudjedu, TN, Albajes-Eizagirre, A, Alnaes, D, Alpert, K, Andreassen, OA, Anticevic, A, Asherson, P, Banaschewski, T, Bargallo, N, Baumeister, S, Baur-Streubel, R, Bertolino, A, Bonvino, A, Boomsma, D, Borgwardt, S, Bourque, J, den Braber, A, Brandeis, D, Breier, A, Brodaty, H, Brouwer, RM, Buitelaar, JK, Busatto, GF, Calhoun, VD, Canales-Rodriguez, EJ, Cannon, DM, Caseras, X, Castellanos, FX, Chaim-Avancini, TM, Ching, CRK, Clark, VP, Conrod, PJ, Conzelmann, A, Crivello, F, Davey, CG, Dickie, EW, Ehrlich, S, Van't Ent, D, Fisher, SE, Fouche, J-P, Franke, B, Fuentes-Claramonte, P, de Geus, EJC, Di Giorgio, A, Glahn, DC, Gotlib, IH, Grabe, HJ, Gruber, O, Gruner, P, Gur, RE, Gur, RC, Gurholt, TP, de Haan, L, Haatveit, B, Harrison, BJ, Hartman, CA, Hatton, SN, Heslenfeld, DJ, van den Heuvel, OA, Hickie, IB, Hoekstra, PJ, Hohmann, S, Holmes, AJ, Hoogman, M, Hosten, N, Howells, FM, Pol, HEH, Huyser, C, Jahanshad, N, James, AC, Jiang, J, Jonsson, EG, Joska, JA, Kalnin, AJ, Klein, M, Koenders, L, Kolskar, KK, Kramer, B, Kuntsi, J, Lagopoulos, J, Lazaro, L, Lebedeva, IS, Lee, PH, Lochner, C, Machielsen, MWJ, Maingault, S, Martin, NG, Martinez-Zalacain, I, Mataix-Cols, D, Mazoyer, B, McDonald, BC, McDonald, C, McIntosh, AM, McMahon, KL, McPhilemy, G, van der Meer, D, Menchon, JM, Naaijen, J, Nyberg, L, Oosterlaan, J, Paloyelis, Y, Pauli, P, Pergola, G, Pomarol-Clotet, E, Portella, MJ, Radua, J, Reif, A, Richard, G, Roffman, JL, Rosa, PGP, Sacchet, MD, Sachdev, PS, Salvador, R, Sarro, S, Satterthwaite, TD, Saykin, AJ, Serpa, MH, Sim, K, Simmons, A, Smoller, JW, Sommer, IE, Soriano-Mas, C, Stein, DJ, Strike, LT, Szeszko, PR, Temmingh, HS, Thomopoulos, S, Tomyshev, AS, Trollor, JN, Uhlmann, A, Veer, IM, Veltman, DJ, Voineskos, A, Volzke, H, Walter, H, Wang, L, Wang, Y, Weber, B, Wen, W, West, JD, Westlye, LT, Whalley, HC, Williams, SCR, Wittfeld, K, Wolf, DH, Wright, MJ, Yoncheva, YN, Zanetti, M, Ziegler, GC, de Zubicaray, G, Thompson, PM, Crone, EA, Frangou, S, Tamnes, CK, Wierenga, LM, Doucet, GE, Dima, D, Agartz, I, Aghajani, M, Akudjedu, TN, Albajes-Eizagirre, A, Alnaes, D, Alpert, K, Andreassen, OA, Anticevic, A, Asherson, P, Banaschewski, T, Bargallo, N, Baumeister, S, Baur-Streubel, R, Bertolino, A, Bonvino, A, Boomsma, D, Borgwardt, S, Bourque, J, den Braber, A, Brandeis, D, Breier, A, Brodaty, H, Brouwer, RM, Buitelaar, JK, Busatto, GF, Calhoun, VD, Canales-Rodriguez, EJ, Cannon, DM, Caseras, X, Castellanos, FX, Chaim-Avancini, TM, Ching, CRK, Clark, VP, Conrod, PJ, Conzelmann, A, Crivello, F, Davey, CG, Dickie, EW, Ehrlich, S, Van't Ent, D, Fisher, SE, Fouche, J-P, Franke, B, Fuentes-Claramonte, P, de Geus, EJC, Di Giorgio, A, Glahn, DC, Gotlib, IH, Grabe, HJ, Gruber, O, Gruner, P, Gur, RE, Gur, RC, Gurholt, TP, de Haan, L, Haatveit, B, Harrison, BJ, Hartman, CA, Hatton, SN, Heslenfeld, DJ, van den Heuvel, OA, Hickie, IB, Hoekstra, PJ, Hohmann, S, Holmes, AJ, Hoogman, M, Hosten, N, Howells, FM, Pol, HEH, Huyser, C, Jahanshad, N, James, AC, Jiang, J, Jonsson, EG, Joska, JA, Kalnin, AJ, Klein, M, Koenders, L, Kolskar, KK, Kramer, B, Kuntsi, J, Lagopoulos, J, Lazaro, L, Lebedeva, IS, Lee, PH, Lochner, C, Machielsen, MWJ, Maingault, S, Martin, NG, Martinez-Zalacain, I, Mataix-Cols, D, Mazoyer, B, McDonald, BC, McDonald, C, McIntosh, AM, McMahon, KL, McPhilemy, G, van der Meer, D, Menchon, JM, Naaijen, J, Nyberg, L, Oosterlaan, J, Paloyelis, Y, Pauli, P, Pergola, G, Pomarol-Clotet, E, Portella, MJ, Radua, J, Reif, A, Richard, G, Roffman, JL, Rosa, PGP, Sacchet, MD, Sachdev, PS, Salvador, R, Sarro, S, Satterthwaite, TD, Saykin, AJ, Serpa, MH, Sim, K, Simmons, A, Smoller, JW, Sommer, IE, Soriano-Mas, C, Stein, DJ, Strike, LT, Szeszko, PR, Temmingh, HS, Thomopoulos, S, Tomyshev, AS, Trollor, JN, Uhlmann, A, Veer, IM, Veltman, DJ, Voineskos, A, Volzke, H, Walter, H, Wang, L, Wang, Y, Weber, B, Wen, W, West, JD, Westlye, LT, Whalley, HC, Williams, SCR, Wittfeld, K, Wolf, DH, Wright, MJ, Yoncheva, YN, Zanetti, M, Ziegler, GC, de Zubicaray, G, Thompson, PM, Crone, EA, Frangou, S, and Tamnes, CK
Abstract: For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
Published: 2020

115. The genetic architecture of the human cerebral cortex

Author: Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnaes, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bulow, R, Burger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Nhat, TD, Dohm, K, Ehrlich, S, Engelbrecht, H-R, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, J-J, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Kramer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, Milaneschi, Y, Mirza-Schreiber, N, Moreira, JCV, Muhleisen, TW, Mueller-Myhsok, B, Najt, P, Nakahara, S, Nho, K, Loohuis, LMO, Orfanos, DP, Pearson, JF, Pitcher, TL, Putz, B, Quide, Y, Ragothaman, A, Rashid, FM, Reay, WR, Redlich, R, Reinbold, CS, Repple, J, Richard, G, Riedel, BC, Risacher, SL, Rocha, CS, Mota, NR, Salminen, L, Saremi, A, Saykin, AJ, Schlag, F, Schmaal, L, Schofield, PR, Secolin, R, Shapland, CY, Shen, L, Shin, J, Shumskaya, E, Sonderby, IE, Sprooten, E, Tansey, KE, Teumer, A, Thalamuthu, A, Tordesillas-Gutierrez, D, Turner, JA, Uhlmann, A, Vallerga, CL, van der Meer, D, van Donkelaar, MMJ, van Eijk, L, van Erp, TGM, van Haren, NEM, van Rooij, D, van Tol, M-J, Veldink, JH, Verhoef, E, Walton, E, Wang, M, Wang, Y, Wardlaw, JM, Wen, W, Westlye, LT, Whelan, CD, Witt, SH, Wittfeld, K, Wolf, C, Wolfers, T, Wu, JQ, Yasuda, CL, Zaremba, D, Zhang, Z, Zwiers, MP, Artiges, E, Assareh, AA, Ayesa-Arriola, R, Belger, A, Brandt, CL, Brown, GG, Cichon, S, Curran, JE, Davies, GE, Degenhardt, F, Dennis, MF, Dietsche, B, Djurovic, S, Doherty, CP, Espiritu, R, Garijo, D, Gil, Y, Gowland, PA, Green, RC, Hausler, AN, Heindel, W, Ho, B-C, Hoffmann, WU, Holsboer, F, Homuth, G, Hosten, N, Jack, CR, Jang, M, Jansen, A, Kimbrel, NA, Kolskar, K, Koops, S, Krug, A, Lim, KO, Luykx, JJ, Mathalon, DH, Mather, KA, Mattay, VS, Matthews, S, Van Son, JM, McEwen, SC, Melle, I, Morris, DW, Mueller, BA, Nauck, M, Nordvik, JE, Noethen, MM, O'Leary, DS, Opel, N, Martinot, M-LP, Pike, GB, Preda, A, Quinlan, EB, Rasser, PE, Ratnakar, V, Reppermund, S, Steen, VM, Tooney, PA, Torres, FR, Veltman, DJ, Voyvodic, JT, Whelan, R, White, T, Yamamori, H, Adams, HHH, Bis, JC, Debette, S, Decarli, C, Fornage, M, Gudnason, V, Hofer, E, Ikram, MA, Launer, L, Longstreth, WT, Lopez, OL, Mazoyer, B, Mosley, TH, Roshchupkin, GV, Satizabal, CL, Schmidt, R, Seshadri, S, Yang, Q, Alvim, MKM, Ames, D, Anderson, TJ, Andreassen, OA, Arias-Vasquez, A, Bastin, ME, Baune, BT, Beckham, JC, Blangero, J, Boomsma, DI, Brodaty, H, Brunner, HG, Buckner, RL, Buitelaar, JK, Bustillo, JR, Cahn, W, Cairns, MJ, Calhoun, V, Carr, VJ, Caseras, X, Caspers, S, Cavalleri, GL, Cendes, F, Corvin, A, Crespo-Facorro, B, Dalrymple-Alford, JC, Dannlowski, U, de Geus, EJC, Deary, IJ, Delanty, N, Depondt, C, Desrivieres, S, Donohoe, G, Espeseth, T, Fernandez, G, Fisher, SE, Flor, H, Forstner, AJ, Francks, C, Franke, B, Glahn, DC, Gollub, RL, Grabe, HJ, Gruber, O, Haberg, AK, Hariri, AR, Hartman, CA, Hashimoto, R, Heinz, A, Henskens, FA, Hillegers, MHJ, Hoekstra, PJ, Holmes, AJ, Hong, LE, Hopkins, WD, Pol, HEH, Jernigan, TL, Jonsson, EG, Kahn, RS, Kennedy, MA, Kircher, TTJ, Kochunov, P, Kwok, JBJ, Le Hellard, S, Loughland, CM, Martin, NG, Martinot, J-L, McDonald, C, McMahon, KL, Meyer-Lindenberg, A, Michie, PT, Morey, RA, Mowry, B, Nyberg, L, Oosterlaan, J, Ophoff, RA, Pantelis, C, Paus, T, Pausova, Z, Penninx, BWJH, Polderman, TJC, Posthuma, D, Rietschel, M, Roffman, JL, Rowland, LM, Sachdev, PS, Samann, PG, Schall, U, Schumann, G, Scott, RJ, Sim, K, Sisodiya, SM, Smoller, JW, Sommer, IE, St Pourcain, B, Stein, DJ, Toga, AW, Trollor, JN, Van der Wee, NJA, van't Ent, D, Volzke, H, Walter, H, Weber, B, Weinberger, DR, Wright, MJ, Zhou, J, Stein, JL, Thompson, PM, Medland, SE, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnaes, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bulow, R, Burger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Nhat, TD, Dohm, K, Ehrlich, S, Engelbrecht, H-R, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, J-J, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Kramer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, Milaneschi, Y, Mirza-Schreiber, N, Moreira, JCV, Muhleisen, TW, Mueller-Myhsok, B, Najt, P, Nakahara, S, Nho, K, Loohuis, LMO, Orfanos, DP, Pearson, JF, Pitcher, TL, Putz, B, Quide, Y, Ragothaman, A, Rashid, FM, Reay, WR, Redlich, R, Reinbold, CS, Repple, J, Richard, G, Riedel, BC, Risacher, SL, Rocha, CS, Mota, NR, Salminen, L, Saremi, A, Saykin, AJ, Schlag, F, Schmaal, L, Schofield, PR, Secolin, R, Shapland, CY, Shen, L, Shin, J, Shumskaya, E, Sonderby, IE, Sprooten, E, Tansey, KE, Teumer, A, Thalamuthu, A, Tordesillas-Gutierrez, D, Turner, JA, Uhlmann, A, Vallerga, CL, van der Meer, D, van Donkelaar, MMJ, van Eijk, L, van Erp, TGM, van Haren, NEM, van Rooij, D, van Tol, M-J, Veldink, JH, Verhoef, E, Walton, E, Wang, M, Wang, Y, Wardlaw, JM, Wen, W, Westlye, LT, Whelan, CD, Witt, SH, Wittfeld, K, Wolf, C, Wolfers, T, Wu, JQ, Yasuda, CL, Zaremba, D, Zhang, Z, Zwiers, MP, Artiges, E, Assareh, AA, Ayesa-Arriola, R, Belger, A, Brandt, CL, Brown, GG, Cichon, S, Curran, JE, Davies, GE, Degenhardt, F, Dennis, MF, Dietsche, B, Djurovic, S, Doherty, CP, Espiritu, R, Garijo, D, Gil, Y, Gowland, PA, Green, RC, Hausler, AN, Heindel, W, Ho, B-C, Hoffmann, WU, Holsboer, F, Homuth, G, Hosten, N, Jack, CR, Jang, M, Jansen, A, Kimbrel, NA, Kolskar, K, Koops, S, Krug, A, Lim, KO, Luykx, JJ, Mathalon, DH, Mather, KA, Mattay, VS, Matthews, S, Van Son, JM, McEwen, SC, Melle, I, Morris, DW, Mueller, BA, Nauck, M, Nordvik, JE, Noethen, MM, O'Leary, DS, Opel, N, Martinot, M-LP, Pike, GB, Preda, A, Quinlan, EB, Rasser, PE, Ratnakar, V, Reppermund, S, Steen, VM, Tooney, PA, Torres, FR, Veltman, DJ, Voyvodic, JT, Whelan, R, White, T, Yamamori, H, Adams, HHH, Bis, JC, Debette, S, Decarli, C, Fornage, M, Gudnason, V, Hofer, E, Ikram, MA, Launer, L, Longstreth, WT, Lopez, OL, Mazoyer, B, Mosley, TH, Roshchupkin, GV, Satizabal, CL, Schmidt, R, Seshadri, S, Yang, Q, Alvim, MKM, Ames, D, Anderson, TJ, Andreassen, OA, Arias-Vasquez, A, Bastin, ME, Baune, BT, Beckham, JC, Blangero, J, Boomsma, DI, Brodaty, H, Brunner, HG, Buckner, RL, Buitelaar, JK, Bustillo, JR, Cahn, W, Cairns, MJ, Calhoun, V, Carr, VJ, Caseras, X, Caspers, S, Cavalleri, GL, Cendes, F, Corvin, A, Crespo-Facorro, B, Dalrymple-Alford, JC, Dannlowski, U, de Geus, EJC, Deary, IJ, Delanty, N, Depondt, C, Desrivieres, S, Donohoe, G, Espeseth, T, Fernandez, G, Fisher, SE, Flor, H, Forstner, AJ, Francks, C, Franke, B, Glahn, DC, Gollub, RL, Grabe, HJ, Gruber, O, Haberg, AK, Hariri, AR, Hartman, CA, Hashimoto, R, Heinz, A, Henskens, FA, Hillegers, MHJ, Hoekstra, PJ, Holmes, AJ, Hong, LE, Hopkins, WD, Pol, HEH, Jernigan, TL, Jonsson, EG, Kahn, RS, Kennedy, MA, Kircher, TTJ, Kochunov, P, Kwok, JBJ, Le Hellard, S, Loughland, CM, Martin, NG, Martinot, J-L, McDonald, C, McMahon, KL, Meyer-Lindenberg, A, Michie, PT, Morey, RA, Mowry, B, Nyberg, L, Oosterlaan, J, Ophoff, RA, Pantelis, C, Paus, T, Pausova, Z, Penninx, BWJH, Polderman, TJC, Posthuma, D, Rietschel, M, Roffman, JL, Rowland, LM, Sachdev, PS, Samann, PG, Schall, U, Schumann, G, Scott, RJ, Sim, K, Sisodiya, SM, Smoller, JW, Sommer, IE, St Pourcain, B, Stein, DJ, Toga, AW, Trollor, JN, Van der Wee, NJA, van't Ent, D, Volzke, H, Walter, H, Weber, B, Weinberger, DR, Wright, MJ, Zhou, J, Stein, JL, Thompson, PM, and Medland, SE
Abstract: The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Published: 2020

116. Age-Related changes of Peak Width Skeletonized Mean Diffusivity (PSMD) across the adult lifespan: A Multi-Cohort Study

Author: Beaudet, G., Tsuchida, A., Petit, L., Tzourio, C., Caspers, S., Schreiber, J., Pausova, Z., Patel, Y., Paus, T., Schmidt, R., Pirpamer, L., Sachdev, P.S., Brodaty, H., Kochan, N., Trollor, J., Wen, W., Armstrong, N.J., Deary, I.J., Bastin, M.E., Wardlaw, J.M., Munoz Maniega, S., Witte, A.V., Villringer, A., Duering, M., Debette, S., Mazoyer, B., Beaudet, G., Tsuchida, A., Petit, L., Tzourio, C., Caspers, S., Schreiber, J., Pausova, Z., Patel, Y., Paus, T., Schmidt, R., Pirpamer, L., Sachdev, P.S., Brodaty, H., Kochan, N., Trollor, J., Wen, W., Armstrong, N.J., Deary, I.J., Bastin, M.E., Wardlaw, J.M., Munoz Maniega, S., Witte, A.V., Villringer, A., Duering, M., Debette, S., and Mazoyer, B.
Abstract: Parameters of water diffusion in white matter derived from diffusion-weighted imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean diffusivity (PSMD), have been proposed as potential markers of normal and pathological brain ageing. However, their relative evolution over the entire adult lifespan in healthy individuals remains partly unknown during early and late adulthood, and particularly for the PSMD index. Here, we gathered and analyzed cross-sectional diffusion tensor imaging (DTI) data from 10 population-based cohort studies in order to establish the time course of white matter water diffusion phenotypes from post-adolescence to late adulthood. DTI data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years and analyzed with the same pipeline for computing skeletonized DTI metrics from DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD values distribution across the FA skeleton. Mean values of each DTI metric were found to strongly vary across cohorts, most likely due to major differences in DWI acquisition protocols as well as pre-processing and DTI model fitting. However, age effects on each DTI metric were found to be highly consistent across cohorts. RD, MD, and AD variations with age exhibited the same U-shape pattern, first slowly decreasing during post-adolescence until the age of 30, 40, and 50 years, respectively, then progressively increasing until late life. FA showed a reverse profile, initially increasing then continuously decreasing, slowly until the 70s, then sharply declining thereafter. By contrast, PSMD constantly increased, first slowly until the 60s, then more sharply. These results demonstrate that, in the general population, age affects PSMD in a manner different from that of other DTI metrics. The constant incre
Published: 2020

117. Genetic architecture of subcortical brain structures in 38,854 individuals worldwide

Author: Satizabal, C., Adams, H., Hibar, D., White, C., Knol, M., Stein, J., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G., Smith, A., Bis, J., Jian, X., Luciano, M., Hofer, E., Teumer, A., Van der Lee, S., Yang, J., Yanek, L., Lee, T., Li, S., Hu, Y., Koh, J., Eicher, J., Desrivières, S., Arias-Vasquez, A., Chauhan, G., Athanasiu, L., Renteria, M., Kim, S., Höhn, D., Armstrong, N., Chen, Q., Holmes, A., Den Braber, A., Kloszewska, I., Andersson, M., Espeseth, T., Grimm, O., Abramovic, L., Alhusaini, S., Milaneschi, Y., Papmeyer, M., Axelsson, T., Ehrlich, S., Roiz-Santiañez, R., Kraemer, B., Håberg, A., Jones, H., Pike, G., Stein, D., Stevens, A., Bralten, J., Vernooij, M., Harris, T., Filippi, I., Witte, A., Guadalupe, T., Wittfeld, K., Mosley, T., Becker, J., Doan, N., Hagenaars, S., Saba, Y., Cuellar-Partida, G., Amin, N., Hilal, S., Nho, K., Karbalai, N., Arfanakis, K., Becker, D., Ames, D., Goldman, A., Lee, P., Boomsma, D., Lovestone, S., Giddaluru, S., Le Hellard, S., Mattheisen, M., Bohlken, M., Kasperaviciute, D., Schmaal, L., Lawrie, S., Agartz, I., Walton, E., Tordesillas-Gutierrez, D., Davies, G., Shin, J., Ipser, J., Vinke, L., Hoogman, M., Jia, T., Burkhardt, R., Klein, M., Crivello, F., Janowitz, D., Carmichael, O., Haukvik, U., Aribisala, B., Schmidt, H., Strike, L., Cheng, C., Risacher, S., Pütz, B., Fleischman, D., Assareh, A., Mattay, V., Buckner, R., Mecocci, P., Dale, A., Cichon, S., Boks, M., Matarin, M., Penninx, B., Calhoun, V., Chakravarty, M., Marquand, A., Macare, C., Masouleh, S., Oosterlaan, J., Amouyel, P., Hegenscheid, K., Rotter, J., Schork, A., Liewald, D., De Zubicaray, G., Wong, T., Shen, L., Sämann, P., Brodaty, H., Roffman, J., De Geus, E., Tsolaki, M., Erk, S., Van Eijk, K., Cavalleri, G., Van der Wee, N., McIntosh, A., Gollub, R., Bulayeva, K., Bernard, M., Richards, J., Himali, J., Loeffler, M., Rommelse, N., Hoffmann, W., Westlye, L., Valdés Hernández, M., Hansell, N., Van Erp, T., Wolf, C., Kwok, J., Vellas, B., Heinz, A., Olde Loohuis, L., Delanty, N., Ho, B., Ching, C., Shumskaya, E., Singh, B., Hofman, A., Van der Meer, D., Homuth, G., Psaty, B., Bastin, M., Montgomery, G., Foroud, T., Reppermund, S., Hottenga, J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., Whelan, C., Van Donkelaar, M., Yang, Q., Hosten, N., Green, R., Thalamuthu, A., Mohnke, S., Hulshoff Pol, H., Lin, H., Jack Jr., C., Schofield, P., Mühleisen, T., Maillard, P., Potkin, S., Wen, W., Fletcher, E., Toga, A., Gruber, O., Huentelman, M., Smith, G., Launer, L., Nyberg, L., Jönsson, E., Crespo-Facorro, B., Koen, N., Greve, D., Uitterlinden, A., Weinberger, D., Steen, V., Fedko, I., Groenewold, N., Niessen, W., Toro, R., Tzourio, C., Longstreth Jr., W., Ikram, M., Smoller, J., Van Tol, M., Sussmann, J., Paus, T., Lemaître, H., Schroeter, M., Mazoyer, B., Andreassen, O., Holsboer, F., Depondt, C., Veltman, D., Turner, J., Pausova, Z., Schumann, G., Van Rooij, D., Djurovic, S., Deary, I., McMahon, K., Müller-Myhsok, B., Brouwer, R., Soininen, H., Pandolfo, M., Wassink, T., Cheung, J., Wolfers, T., Martinot, J., Zwiers, M., Nauck, M., Melle, I., Martin, N., Kanai, R., Westman, E., Kahn, R., Sisodiya, S., White, T., Saremi, A., Van Bokhoven, H., Brunner, H., Völzke, H., Wright, M., Van 't Ent, D., Nöthen, M., Ophoff, R., Buitelaar, J., Fernández, G., Sachdev, P., Rietschel, M., Van Haren, N., Fisher, S., Beiser, A., Francks, C., Saykin, A., Mather, K., Romanczuk-Seiferth, N., Hartman, C., DeStefano, A., Heslenfeld, D., Weiner, M., Walter, H., Hoekstra, P., Nyquist, P., Franke, B., Bennett, D., Grabe, H., Johnson, A., Chen, C., Van Duijn, C., Lopez, O., Fornage, M., Wardlaw, J., Schmidt, R., DeCarli, C., De Jager, P., Villringer, A., Debette, S., Gudnason, V., Medland, S., Shulman, J., Thompson, P., and Seshadri, S.
Subjects: nervous system
Abstract: Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
Published: 2019

118. The Meta VCI Map consortium for meta‐analyses on strategic lesion locations for vascular cognitive impairment using lesion‐symptom mapping: design and multicenter pilot study

Author: Weaver, Nick A., Zhao, Lei, Biesbroek, J. Matthijs, Kuijf, Hugo J., Aben, Hugo P., Bae, Hee‐Joon, Caballero, Miguel Á.A., Chappell, Francesca M., Chen, Christopher P.L.H., Dichgans, Martin, Duering, Marco, Georgakis, Marios K., Giessen, Ruben S., Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Hofe, Elise M., Kort, Paul L.M., Koudstaal, Peter J., Lam, Bonnie Y.K., Lim, Jae‐Sung, Makin, Stephen D.J., Mok, Vincent C.T., Shi, Lin, Valdés Hernández, Maria C., Venketasubramanian, Narayanaswamy, Wardlaw, Joanna M., Wollenweber, Frank A., Wong, Adrian, Xin, Xu, DeCarli, C., Fletcher, E.A., Maillard, P., Barnes, J., Sudre, C.H., Schott, J.M., Ikram, M.A., Papma, J.M., Steketee, R.M.E., Vernooij, M.W., Bordet, R., Lopes, R., Huang, C.‐W., Frayne, R., McCreary, C.R., Smith, E.E., Backes, W., Köhler, S., Oostenbrugge, R.J., Staals, J., Verhey, F., Cheng, C.Y., Kalaria, R.N., Werring, D., Hsu, J.L., Huang, K.‐L., Grond, J., Jukema, J.W., Mast, R.C., Nijboer, T.C.W., Yu, K.‐H., Schmidt, R., Pirpamer, L., MacIntosh, B.J., Robertson, A.D., Leeuw, F.‐E., Tuladhar, A.M., Chaturvedi, N., Tillin, T., Brodaty, H., Sachdev, P., Barkhof, F., Flier, W.M., Kappelle, L.J., and Biessels, Geert Jan
Abstract: Introduction: \ud The Meta VCI Map consortium performs meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping. Integration of data from different cohorts will increase sample sizes, to improve brain lesion coverage and support comprehensive lesion-symptom mapping studies.\ud \ud Methods: \ud Cohorts with available imaging on white matter hyperintensities or infarcts and cognitive testing were invited. We performed a pilot study to test the feasibility of multicenter data processing and analysis and determine the benefits to lesion coverage.\ud \ud Results: \ud Forty-seven groups have joined Meta VCI Map (stroke n = 7800 patients; memory clinic n = 4900; population-based n = 14,400). The pilot study (six ischemic stroke cohorts, n = 878) demonstrated feasibility of multicenter data integration (computed tomography/magnetic resonance imaging) and achieved marked improvement of lesion coverage.\ud \ud Discussion: \ud Meta VCI Map will provide new insights into the relevance of vascular lesion location for cognitive dysfunction. After the successful pilot study, further projects are being prepared. Other investigators are welcome to join.
Published: 2019

119. Hippocampal size and dementia in stroke patients: The Sydney stroke study

Author: Sachdev, P.S., Chen, X., Joscelyne, A., Wen, W., Altendorf, A., and Brodaty, H.
Published: 2007
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120. Impairment in instrumental activities of daily living with high cognitive demand is an early marker of mild cognitive impairment: the Sydney Memory and Ageing Study

Author: Reppermund, S., Brodaty, H., Crawford, J. D., Kochan, N. A., Draper, B., Slavin, M. J., Trollor, J. N., and Sachdev, P. S.
Published: 2013

121. Prevalence and characteristics of depression in mild cognitive impairment: the Sydney Memory and Ageing Study

Author: Shahnawaz, Z., Reppermund, S., Brodaty, H., Crawford, J. D., Draper, B., Trollor, J. N., and Sachdev, P. S.
Published: 2013
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122. Brain white matter hyperintensities, executive dysfunction, instability and falls in older people: A prospective cohort study: S14 Session 14: Oral Presentations 3 May 2012 1430-1445 Oral Presentation 28

Author: Zheng, J J, Lord, S R, Close, J CT, Sachdev, P S, Wen, W, Brodaty, H, and Delbaere, K
Published: 2012

123. When in the disease trajectory should we diagnose dementia? In 2012 and into the future?: S22 Session 22: Plenary with Panel 4 May 2012 1130-1230 Panelist 26

Author: Brodaty, H, Rowe, C, Creasey, H, and Passmore, A P
Published: 2012

124. Advances and retreats in treatment of Alzheimerʼs disease: S20 Session 20: Plenary 4 May 2012 0900-1030 Keynote Presentation 22

Author: Brodaty, H
Published: 2012

125. AVOIDING THE DOUBLE WHAMMY - DEMENTIA AND FALLS: PILOT TESTING A NOVEL APPROACH TO FALLS PREVENTION IN THE COMMUNITY: 35001

Author: Wesson, J., Clemson, L., Close, J., Brodaty, H., Lord, S., Taylor, M., and Gitlin, L.
Published: 2011

126. 337 - Pseudodementia, pseudopseudodementia and pseudodepression

Author: Brodaty, H, primary and Connors, M, additional
Published: 2020
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127. 1H MRS in stroke patients with and without cognitive impairment

Author: Ross, A.J., Sachdev, P.S., Wen, W., Valenzuela, M.J., and Brodaty, H.
Published: 2005
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128. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (vol 9, 2098, 2018)

Author: Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., Lee, S.J. van der, Ware, E.B., Windham, B.G., Wright, M.J., Yang, J.Y., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Bohmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kahonen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Hellard, S. le, Lee, T., Lehtimaki, T., Li, S.C., Lill, C.M., Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikainen, L.P., Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumare, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., Jager, P.L. de, Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hagg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Raikkonen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., Duijn, C.M. van, Villringer, A., Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., and Deary, I.J.
Published: 2019

129. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author: Davies, G., Lam, M., Harris, S. E., TRAMPUSH, J. W., LUCIANO, M., HILL, W. D., HAGENAARS, S. P., RITCHIE, S. J., MARIONI, R. E., FAWNS-RITCHIE, C., LIEWALD, D. C. M., OKELY, J. A., AHOLA-OLLI, A. V., BARNES, C. L. K., Bertram, L., BIS, J. C., BURDICK, K. E., CHRISTOFOROU, A., DEROSSE, P., Djurovic, S., ESPESETH, T., GIAKOUMAKI, S., GIDDALURU, S., GUSTAVSON, D. E., Hayward, C., Hofer, E., KARLSSON, R., KNOWLES, E., Lahti, J., Leber, M., MATHER, K. A., Melle, I., Morris, D., OLDMEADOW, C., PALVIAINEN, T., PAYTON, A., PAZOKI, R., PETROVIC, K., Reynolds, C. A., SARGURUPREMRAJ, M., Scholz, M., Smith, J. A., SMITH, A. V., TERZIKHAN, N., THALAMUTHU, A., TROMPET, S., VAN DER LEE, S. J., WARE, E. B., WINDHAM, B. G., WRIGHT, M. J., Yang, J., Yu, J., Ames, D., Amin, N., Amouyel, P., ANDREASSEN, O. A., ARMSTRONG, N. J., ASSAREH, A. A., ATTIA, J. R., ATTIX, D., AVRAMOPOULOS, D., BENNETT, D. A., BOHMER, A. C., BOYLE, P. A., BRODATY, H., Campbell, H., CANNON, T. D., CIRULLI, E. T., CONGDON, E., CONLEY, E. D., CORLEY, J., COX, S. R., DALE, A. M., DEHGHAN, A., Dick, D., Dickinson, D., ERIKSSON, J. G., EVANGELOU, E., FAUL, J. D., Ford, I., FREIMER, N. A., Gao, H., Giegling, I., GILLESPIE, N. A., GORDON, S. D., GOTTESMAN, R. F., GRISWOLD, M. E., GUDNASON, V., HARRIS, T. B., HARTMANN, A. M., Hatzimanolis, A., Heiss, G., HOLLIDAY, E. G., Joshi, P. K., KAHONEN, M., KARDIA, S. L. R., KARLSSON, I., KLEINEIDAM, L., KNOPMAN, D. S., KOCHAN, N. A., Konte, B., KWOK, J. B., LE HELLARD, S., Lee, T., LEHTIMAKI, T., Li, S. C., Lill, C. M., Liu, T., KOINI, M., London, E., LONGSTRETH, W. T., Jr., LOPEZ, O. L., LOUKOLA, A., LUCK, T., LUNDERVOLD, A. J., LUNDQUIST, A., LYYTIKAINEN, L. P., Martin, N. G., MONTGOMERY, G. W., MURRAY, A. D., NEED, A. C., NOORDAM, R., Nyberg, L., OLLIER, W., PAPENBERG, G., PATTIE, A., POLASEK, O., POLDRACK, R. A., PSATY, B. M., REPPERMUND, S., RIEDEL-HELLER, S. G., ROSE, R. J., ROTTER, J. I., ROUSSOS, P., ROVIO, S. P., SABA, Y., SABB, F. W., SACHDEV, P. S., SATIZABAL, C. L., Schmid, M., Scott, R. J., SCULT, M. A., SIMINO, J., SLAGBOOM, P. E., SMYRNIS, N., Soumare, A., Stefanis, N. C., STOTT, D. J., STRAUB, R. E., SUNDET, K., Taylor, A. M., TAYLOR, K. D., TZOULAKI, I., Tzourio, C., Uitterlinden, A., Vitart, V., VOINESKOS, A. N., Kaprio, J., Wagner, M., Wagner, H., WEINHOLD, L., WEN, K. H., WIDEN, E., Yang, Q., Zhao, W., ADAMS, H. H. H., ARKING, D. E., Bilder, R. M., BITSIOS, P., BOERWINKLE, E., CHIBA-FALEK, O., Corvin, A., DE JAGER, P. L., Debette, S., Donohoe, G., Elliott, P., FITZPATRICK, A. L., Gill, M., GLAHN, D. C., HAGG, S., HANSELL, N. K., HARIRI, A. R., Ikram, M. A., JUKEMA, J. W., VUOKSIMAA, E., KELLER, M. C., KREMEN, W. S., LAUNER, L., LINDENBERGER, U., Palotie, A., PEDERSEN, N. L., PENDLETON, N., PORTEOUS, D. J., RAIKKONEN, K., RAITAKARI, O. T., Ramirez, A., REINVANG, I., RUDAN, I., DAN, Rujescu, Schmidt, R., Schmidt, H., SCHOFIELD, P. W., STARR, J. M., STEEN, V. M., TROLLOR, J. N., TURNER, S. T., VAN DUIJN, C. M., VILLRINGER, A., WEINBERGER, D. R., WEIR, D. R., WILSON, J. F., Malhotra, A., MCINTOSH, A. M., GALE, C. R., SESHADRI, S., MOSLEY, T. H., Jr., BRESSLER, J., Lencz, T., DEARY, I. J., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: VINTAGE, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, HEALTHY, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract: Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.
Published: 2019

130. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author: Chauhan, G., Adams, H.H.H., Satizabal, C.L., Bis, J.C., Teumer, A., Sargurupremraj, M., Hofer, E., Trompet, S., Hilal, S., Smith, A.V., Jian, X.Q., Malik, R., Traylor, M., Pulit, S.L., Amouyel, P., Mazoyer, B., Zhu, Y.C., Kaffashian, S., Schilling, S., Beecham, G.W., Montine, T.J., Schellenberg, G.D., Kjartansson, O., Gudnason, V., Knopman, D.S., Griswold, M.E., Windham, B.G., Gottesman, R.F., Mosley, T.H., Schmidt, R., Saba, Y., Schmidt, H., Takeuchi, F., Yamaguchi, S., Nabika, T., Kato, N., Rajan, K.B., Aggarwal, N.T., Jager, P.L. de, Evans, D.A., Psaty, B.M., Rotter, J.I., Rice, K., Lopez, O.L., Liao, J.M., Chen, C., Cheng, C.Y., Wong, T.Y., Ikram, M.K., Lee, S.J. van der, Amin, N., Chouraki, V., DeStefano, A.L., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernandez, M.D.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Maniega, S.M., Slagboom, P.E., Beekman, M., Deelen, J., Uh, H.W., Lemmens, R., Brodaty, H., Wright, M.J., Ames, D., Boncoraglio, G.B., Hopewell, J.C., Beecham, A.H., Blanton, S.H., Wright, C.B., Sacco, R.L., Wen, W., Thalamuthu, A., Armstrong, N.J., Chong, E., Schofield, P.R., Kwok, J.B., Grond, J. van der, Stott, D.J., Ford, I., Jukema, J.W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Lugt, A. van der, Wittfeld, K., Grabe, H.J., Hosten, N., Sarnowski, B. von, Volker, U., Levi, C., Jimenez-Conde, J., Sharma, P., Sudlow, C.L.M., Rosand, J., Woo, D., Cole, J.W., Meschia, J.F., Slowik, A., Thijs, V., Lindgren, A., Melander, O., Grewal, R.P., Rundek, T., Rexrode, K., Rothwell, P.M., Arnett, D.K., Jern, C., Johnson, J.A., Benavente, O.R., Wasssertheil-Smoller, S., Lee, J.M., Wong, Q., Mitchell, B.D., Rich, S.S., McArdle, P.F., Geerlings, M.I., Graaf, Y. van der, Bakker, P.I.W. de, Asselbergs, F.W., Srikanth, V., Thomson, R., McWhirter, R., Moran, C., Callisaya, M., Phan, T., Rutten-Jacobs, L.C.A., Bevan, S., Tzourio, C., Mather, K.A., Sachdev, P.S., Duijn, C.M. van, Worrall, B.B., Dichgans, M., Kittner, S.J., Markus, H.S., Ikram, M.A., Fornage, M., Launer, L.J., Seshadri, S., Longstreth, W.T., Debette, S., Stroke Genetics Network SiGN, ISGC, METASTROKE, ADGC, and CHARGE Consortium
Subjects: Meta-analysis, Mendelian Randomization, Blood Pressure, Polymorphisms, Genome-wide Association, Silent, Insights, Small Vessel Disease, Matter Hyperintensity Volume, Ischemic Stroke, Doenças Cardio e Cérebro-vasculares
Abstract: Collaborators (845): Astrid M. Vicente Free PMC article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369905/ Objective: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results: The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI. info:eu-repo/semantics/publishedVersion
Published: 2019

131. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study

Author: Lipnicki, D.M. Makkar, S.R. Crawford, J.D. Thalamuthu, A. Kochan, N.A. Lima-Costa, M.F. Castro-Costa, E. Ferri, C.P. Brayne, C. Stephan, B. Llibre-Rodriguez, J.J. Llibre-Guerra, J.J. Valhuerdi-Cepero, A.J. Lipton, R.B. Katz, M.J. Derby, C.A. Ritchie, K. Ancelin, M.-L. Carrière, I. Scarmeas, N. Yannakoulia, M. Hadjigeorgiou, G.M. Lam, L. Chan, W.-C. Fung, A. Guaita, A. Vaccaro, R. Davin, A. Kim, K.W. Han, J.W. Suh, S.W. Riedel-Heller, S.G. Roehr, S. Pabst, A. van Boxtel, M. Köhler, S. Deckers, K. Ganguli, M. Jacobsen, E.P. Hughes, T.F. Anstey, K.J. Cherbuin, N. Haan, M.N. Aiello, A.E. Dang, K. Kumagai, S. Chen, T. Narazaki, K. Ng, T.P. Gao, Q. Nyunt, M.S.Z. Scazufca, M. Brodaty, H. Numbers, K. Trollor, J.N. Meguro, K. Yamaguchi, S. Ishii, H. Lobo, A. Lopez-Anton, R. Santabárbara, J. Leung, Y. Lo, J.W. Popovic, G. Sachdev, P.S. Cohort Studies of Memory in an International Consortium (COSMIC)
Abstract: Background: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences. © 2019 Lipnicki et al.
Published: 2019

132. Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia

Author: Slot, R.E.R. Sikkes, S.A.M. Berkhof, J. Brodaty, H. Buckley, R. Cavedo, E. Dardiotis, E. Guillo-Benarous, F. Hampel, H. Kochan, N.A. Lista, S. Luck, T. Maruff, P. Molinuevo, J.L. Kornhuber, J. Reisberg, B. Riedel-Heller, S.G. Risacher, S.L. Roehr, S. Sachdev, P.S. Scarmeas, N. Scheltens, P. Shulman, M.B. Saykin, A.J. Verfaillie, S.C.J. Visser, P.J. Vos, S.J.B. Wagner, M. Wolfsgruber, S. Jessen, F. Boada, M. de Deyn, P.P. Jones, R. Frisoni, G. Spiru, L. Nobili, F. Freund-Levi, Y. Soininen, H. Verhey, F. Wallin, Å.K. Touchon, J. Rikkert, M.O. Rigaud, A.-S. Bullock, R. Tsolaki, M. Vellas, B. Wilcock, G. Froelich, L. Bakardjian, H. Benali, H. Bertin, H. Bonheur, J. Boukadida, L. Boukerrou, N. Chiesa, P. Colliot, O. Dubois, B. Dubois, M. Epelbaum, S. Gagliardi, G. Genthon, R. Habert, M.-O. Houot, M. Kas, A. Lamari, F. Levy, M. Metzinger, C. Mochel, F. Nyasse, F. Poisson, C. Potier, M.-C. Revillon, M. Santos, A. Andrade, K.S. Sole, M. Surtee, M. Thiebaud de Schotten, M. Vergallo, A. Younsi, N. van der Flier, W.M. Alzheimer's Disease Neuroimaging Initiative DESCRIPA working group INSIGHT-preAD study group SCD-I working group
Abstract: Introduction: In this multicenter study on subjective cognitive decline (SCD) in community-based and memory clinic settings, we assessed the (1) incidence of Alzheimer's disease (AD) and non-AD dementia and (2) determinants of progression to dementia. Methods: Eleven cohorts provided 2978 participants with SCD and 1391 controls. We estimated dementia incidence and identified risk factors using Cox proportional hazards models. Results: In SCD, incidence of dementia was 17.7 (95% Poisson confidence interval 15.2-20.3)/1000 person-years (AD: 11.5 [9.6-13.7], non-AD: 6.1 [4.7-7.7]), compared with 14.2 (11.3-17.6) in controls (AD: 10.1 [7.7-13.0], non-AD: 4.1 [2.6-6.0]). The risk of dementia was strongly increased in SCD in a memory clinic setting but less so in a community-based setting. In addition, higher age (hazard ratio 1.1 [95% confidence interval 1.1-1.1]), lower Mini–Mental State Examination (0.7 [0.66-0.8]), and apolipoprotein E ε4 (1.8 [1.3-2.5]) increased the risk of dementia. Discussion: SCD can precede both AD and non-AD dementia. Despite their younger age, individuals with SCD in a memory clinic setting have a higher risk of dementia than those in community-based cohorts. © 2018 The Authors
Published: 2019

133. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study

Author: Leung, Y., Lo, J.W., Sachdev, P.S., Carrière, I., Ng, T.P., Numbers, K., van Boxtel, M., Lobo, A., Ishii, H., Jacobsen, E.P., Katz, M.J., Nyunt, M.S.Z., Hughes, T.F., Riedel-Heller, S.G., Trollor, J.N., Stephan, B., Makkar, S.R., Scazufca, M., Köhler, S., Fung, A., Thalamuthu, A., Roehr, S., Valhuerdi-Cepero, A.J., Lima-Costa, M.F., Narazaki, K., Kim, K.W., Lipton, R.B., Ritchie, K., Brayne, C., Chen, T., Ancelin, M.-L., Chan, W.-C., Davin, A., Brodaty, H., Pabst, A., Castro-Costa, E., Deckers, K., Guaita, A., Popovic, G., Lipnicki, D.M., Santabárbara, J., Ferri, C.P., Llibre-Guerra, J.J., Haan, M.N., Meguro, K., Han, J.W., Yannakoulia, M., Cherbuin, N., Kochan, N.A., Lam, L., Suh, S.W., Gao, Q., Anstey, K.J., Aiello, A.E., Vaccaro, R., Ganguli, M., Hadjigeorgiou, G.M., Dang, K., Crawford, J.D., Kumagai, S., Derby, C.A., Llibre-Rodriguez, J.J., Scarmeas, N., and Lopez-Anton, R.
Abstract: Background: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.
Published: 2019
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134. Genetic architecture of subcortical brain structures in 38,851 individuals

Author: SATIZABAL, C. L., ADAMS, H. H. H., HIBAR, D. P., WHITE, C. C., KNOL, M. J., STEIN, J. L., Scholz, M., Sargurupremraj, Muralidharan, JAHANSHAD, N., ROSHCHUPKIN, G. V., SMITH, A. V., BIS, J. C., JIAN, X., LUCIANO, M., Hofer, E., TEUMER, A., VAN DER LEE, S. J., Yang, J., YANEK, L. R., LEE, T. V., Li, S., Hu, Y., KOH, J. Y., EICHER, J. D., DESRIVIERES, S., ARIAS-VASQUEZ, A., Chauhan, G., ATHANASIU, L., RENTERIA, M. E., Kim, S., HOEHN, D., ARMSTRONG, N. J., Chen, Q., HOLMES, A. J., DEN BRABER, A., KLOSZEWSKA, I., Andersson, M., ESPESETH, T., Grimm, O., ABRAMOVIC, L., ALHUSAINI, S., MILANESCHI, Y., PAPMEYER, M., AXELSSON, T., Ehrlich, S., ROIZ-SANTIANEZ, R., KRAEMER, B., HABERG, A. K., JONES, H. J., Pike, G. B., STEIN, D. J., Stevens, A., BRALTEN, J., VERNOOIJ, M. W., HARRIS, T. B., FILIPPI, I., WITTE, A. V., Guadalupe, T., WITTFELD, K., MOSLEY, T. H., BECKER, J. T., DOAN, N. T., HAGENAARS, S. P., SABA, Y., CUELLAR-PARTIDA, G., Amin, N., HILAL, S., NHO, K., MIRZA-SCHREIBER, N., ARFANAKIS, K., BECKER, D. M., Ames, D., GOLDMAN, A. L., LEE, P. H., Boomsma, D. I., LOVESTONE, S., GIDDALURU, S., LE HELLARD, S., Mattheisen, M., BOHLKEN, M. M., KASPERAVICIUTE, D., SCHMAAL, L., LAWRIE, S. M., Agartz, I., Walton, E., TORDESILLAS-GUTIERREZ, D., DAVIES, G. E., Shin, J., IPSER, J. C., VINKE, L. N., HOOGMAN, M., Jia, T., BURKHARDT, R., Klein, M., Crivello, Fabrice, JANOWITZ, D., CARMICHAEL, O., HAUKVIK, U. K., ARIBISALA, B. S., Schmidt, H., STRIKE, L. T., CHENG, C. Y., RISACHER, S. L., PUTZ, B., FLEISCHMAN, D. A., ASSAREH, A. A., MATTAY, V. S., BUCKNER, R. L., MECOCCI, P., DALE, A. M., Cichon, S., BOKS, M. P., MATARIN, M., PENNINX, Bwjh, CALHOUN, V. D., CHAKRAVARTY, M. M., MARQUAND, A. F., MACARE, C., KHARABIAN MASOULEH, S., OOSTERLAAN, J., Amouyel, P., HEGENSCHEID, K., ROTTER, J. I., SCHORK, A. J., LIEWALD, D. C. M., DE ZUBICARAY, G. I., WONG, T. Y., Shen, L., SAMANN, P. G., BRODATY, H., ROFFMAN, J. L., DE GEUS, E. J. C., TSOLAKI, M., ERK, S., VAN EIJK, K. R., CAVALLERI, G. L., VAN DER WEE, N. J. A., MCINTOSH, A. M., GOLLUB, R. L., BULAYEVA, K. B., Bernard, M., RICHARDS, J. S., HIMALI, J. J., Loeffler, M., ROMMELSE, N., Hoffmann, W., WESTLYE, L. T., VALDES HERNANDEZ, M. C., HANSELL, N. K., VAN ERP, T. G. M., Wolf, C., KWOK, J. B. J., Vellas, B., Heinz, A., OLDE LOOHUIS, L. M., DELANTY, N., HO, B. C., CHING, C. R. K., SHUMSKAYA, E., Singh, B., Hofman, A., VAN DER MEER, D., Homuth, G., PSATY, B. M., BASTIN, M. E., MONTGOMERY, G. W., FOROUD, T. M., REPPERMUND, S., HOTTENGA, J. J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., WHELAN, C. D., VAN DONKELAAR, M. M. J., Yang, Q., HOSTEN, N., GREEN, R. C., THALAMUTHU, A., MOHNKE, S., HULSHOFF POL, H. E., Lin, H., JACK, C. R., Jr., SCHOFIELD, P. R., MUHLEISEN, T. W., MAILLARD, P., POTKIN, S. G., Wen, W., FLETCHER, E., TOGA, A. W., Gruber, O., HUENTELMAN, M., DAVEY SMITH, G., LAUNER, L. J., Nyberg, L., JONSSON, E. G., CRESPO-FACORRO, B., KOEN, N., GREVE, D. N., UITTERLINDEN, A. G., WEINBERGER, D. R., STEEN, V. M., FEDKO, I. O., GROENEWOLD, N. A., Niessen, W. J., TORO, R., Tzourio, Christophe, LONGSTRETH, W. T., Jr., SMOLLER, J. W., VAN TOL, M. J., SUSSMANN, J. E., PAUS, T., Lemaitre, H., SCHROETER, M. L., Mazoyer, B., ANDREASSEN, O. A., Holsboer, F., DEPONDT, C., VELTMAN, D. J., Turner, J. A., PAUSOVA, Z., Schumann, G., Van Rooij, D., Djurovic, S., DEARY, I. J., MCMAHON, K. L., MULLER-MYHSOK, B., BROUWER, R. M., Soininen, H., Pandolfo, M., WASSINK, T. H., CHEUNG, J. W., WOLFERS, T., MARTINOT, J. L., ZWIERS, M. P., Nauck, M., Melle, I., Martin, N. G., Kanai, R., WESTMAN, E., KAHN, R. S., Sisodiya, S. M., White, T., SAREMI, A., van Bokhoven, H., Brunner, H. G., VOLZKE, H., WRIGHT, M. J., VAN 'T ENT, D., NOTHEN, M. M., OPHOFF, R. A., BUITELAAR, J. K., Fernandez, G., SACHDEV, P. S., Rietschel, M., VAN HAREN, N. E. M., Fisher, S. E., BEISER, A. S., Francks, C., SAYKIN, A. J., MATHER, K. A., ROMANCZUK-SEIFERTH, N., HARTMAN, C. A., DeStefano, A. L., HESLENFELD, D. J., WEINER, M. W., Walter, H., HOEKSTRA, P. J., NYQUIST, P. A., Franke, B., BENNETT, D. A., Grabe, H. J., JOHNSON, A. D., Chen, C., VAN DUIJN, C. M., LOPEZ, O. L., FORNAGE, M., WARDLAW, J. M., Schmidt, R., DeCarli, C., DE JAGER, P. L., VILLRINGER, A., Debette, Stephanie, GUDNASON, V., Medland, S. E., SHULMAN, J. M., THOMPSON, P. M., SESHADRI, S., IKRAM, M. K., Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-SFR Bordeaux Neurosciences-Centre National de la Recherche Scientifique (CNRS)
Subjects: nervous system, VINTAGE, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, HEALTHY
Abstract: Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
Published: 2019

135. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)

Author: Davies, G. Lam, M. Harris, S.E. Trampush, J.W. Luciano, M. Hill, W.D. Hagenaars, S.P. Ritchie, S.J. Marioni, R.E. Fawns-Ritchie, C. Liewald, D.C.M. Okely, J.A. Ahola-Olli, A.V. Barnes, C.L.K. Bertram, L. Bis, J.C. Burdick, K.E. Christoforou, A. DeRosse, P. Djurovic, S. Espeseth, T. Giakoumaki, S. Giddaluru, S. Gustavson, D.E. Hayward, C. Hofer, E. Ikram, M.A. Karlsson, R. Knowles, E. Lahti, J. Leber, M. Li, S. Mather, K.A. Melle, I. Morris, D. Oldmeadow, C. Palviainen, T. Payton, A. Pazoki, R. Petrovic, K. Reynolds, C.A. Sargurupremraj, M. Scholz, M. Smith, J.A. Smith, A.V. Terzikhan, N. Thalamuthu, A. Trompet, S. van der Lee, S.J. Ware, E.B. Windham, B.G. Wright, M.J. Yang, J. Yu, J. Ames, D. Amin, N. Amouyel, P. Andreassen, O.A. Armstrong, N.J. Assareh, A.A. Attia, J.R. Attix, D. Avramopoulos, D. Bennett, D.A. Böhmer, A.C. Boyle, P.A. Brodaty, H. Campbell, H. Cannon, T.D. Cirulli, E.T. Congdon, E. Conley, E.D. Corley, J. Cox, S.R. Dale, A.M. Dehghan, A. Dick, D. Dickinson, D. Eriksson, J.G. Evangelou, E. Faul, J.D. Ford, I. Freimer, N.A. Gao, H. Giegling, I. Gillespie, N.A. Gordon, S.D. Gottesman, R.F. Griswold, M.E. Gudnason, V. Harris, T.B. Hartmann, A.M. Hatzimanolis, A. Heiss, G. Holliday, E.G. Joshi, P.K. Kähönen, M. Kardia, S.L.R. Karlsson, I. Kleineidam, L. Knopman, D.S. Kochan, N.A. Konte, B. Kwok, J.B. Le Hellard, S. Lee, T. Lehtimäki, T. Li, S.-C. Lill, C.M. Liu, T. Koini, M. London, E. Longstreth, W.T., Jr. Lopez, O.L. Loukola, A. Luck, T. Lundervold, A.J. Lundquist, A. Lyytikäinen, L.-P. Martin, N.G. Montgomery, G.W. Murray, A.D. Need, A.C. Noordam, R. Nyberg, L. Ollier, W. Papenberg, G. Pattie, A. Polasek, O. Poldrack, R.A. Psaty, B.M. Reppermund, S. Riedel-Heller, S.G. Rose, R.J. Rotter, J.I. Roussos, P. Rovio, S.P. Saba, Y. Sabb, F.W. Sachdev, P.S. Satizabal, C.L. Schmid, M. Scott, R.J. Scult, M.A. Simino, J. Slagboom, P.E. Smyrnis, N. Soumaré, A. Stefanis, N.C. Stott, D.J. Straub, R.E. Sundet, K. Taylor, A.M. Taylor, K.D. Tzoulaki, I. Tzourio, C. Uitterlinden, A. Vitart, V. Voineskos, A.N. Kaprio, J. Wagner, M. Wagner, H. Weinhold, L. Wen, K.H. Widen, E. Yang, Q. Zhao, W. Adams, H.H.H. Arking, D.E. Bilder, R.M. Bitsios, P. Boerwinkle, E. Chiba-Falek, O. Corvin, A. De Jager, P.L. Debette, S. Donohoe, G. Elliott, P. Fitzpatrick, A.L. Gill, M. Glahn, D.C. Hägg, S. Hansell, N.K. Hariri, A.R. Ikram, M.K. Jukema, J.W. Vuoksimaa, E. Keller, M.C. Kremen, W.S. Launer, L. Lindenberger, U. Palotie, A. Pedersen, N.L. Pendleton, N. Porteous, D.J. Räikkönen, K. Raitakari, O.T. Ramirez, A. Reinvang, I. Rudan, I. Dan Rujescu Schmidt, R. Schmidt, H. Schofield, P.W. Schofield, P.R. Starr, J.M. Steen, V.M. Trollor, J.N. Turner, S.T. Van Duijn, C.M. Villringer, A. Weinberger, D.R. Weir, D.R. Wilson, J.F. Malhotra, A. McIntosh, A.M. Gale, C.R. Seshadri, S. Mosley, T.H., Jr. Bressler, J. Lencz, T. Deary, I.J.
Subjects: ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract: Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article. © 2019, The Author(s).
Published: 2019

136. Erratum: Therapeutically relevant structural and functional mechanisms triggered by physical and cognitive exercise

Author: Suo, C, Singh, M F, Gates, N, Wen, W, Sachdev, P, Brodaty, H, Saigal, N, Wilson, G C, Meiklejohn, J, Singh, N, Baune, B T, Baker, M, Foroughi, N, Wang, Y, Mavros, Y, Lampit, A, Leung, I, and Valenzuela, M J
Published: 2016
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137. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author: Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, Derosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, Van Der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, and Brodaty, H
Abstract: © 2018 The Author(s). General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.
Published: 2018

138. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Author: Vojinovic, D, Adams, HH, Jian, X, Yang, Q, Smith, AV, Bis, JC, Teumer, A, Scholz, M, Armstrong, NJ, Hofer, E, Saba, Y, Luciano, M, Bernard, M, Trompet, S, Yang, J, Gillespie, NA, van der Lee, SJ, Neumann, A, Ahmad, S, Andreassen, OA, Ames, D, Amin, N, Arfanakis, K, Bastin, ME, Becker, DM, Beiser, AS, Beyer, F, Brodaty, H, Bryan, RN, Bülow, R, Dale, AM, De Jager, PL, Deary, IJ, DeCarli, C, Fleischman, DA, Gottesman, RF, van der Grond, J, Gudnason, V, Harris, TB, Homuth, G, Knopman, DS, Kwok, JB, Lewis, CE, Li, S, Loeffler, M, Lopez, OL, Maillard, P, El Marroun, H, Mather, KA, Mosley, TH, Muetzel, RL, Nauck, M, Nyquist, PA, Panizzon, MS, Pausova, Z, Psaty, BM, Rice, K, Rotter, JI, Royle, N, Satizabal, CL, Schmidt, R, Schofield, PR, Schreiner, PJ, Sidney, S, Stott, DJ, Thalamuthu, A, Uitterlinden, AG, and Valdés Hernández, MC
Abstract: © 2018, The Author(s). The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (?genetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.
Published: 2018

139. Behavioural problems following stroke - is there a relationship with cognitive impairment?

Author: Withall, A, Brodaty, H, Altendorf, A, and Sachdev, P
Published: 2006

140. Diagnosing mild cognitive impairment: the problem with subjective complaints

Author: Slavin, M, Brodaty, H, Kochan, N, and Sachdev, P
Published: 2006

141. Happy trails to you - a review of subjective well-being in successful aging

Author: Withall, A and Brodaty, H
Published: 2006

142. Prevalence of mental disorders in the elderly: the Australian National Mental Health and Well-being Survey

Author: Trollor, J, Brodaty, H, Andrews, G, Sachdev, P, and Anderson, T
Published: 2006

143. Diagnosing mild cognitive impairment - a data-driven approach

Author: Kochan, N, Sachdev, P, Trollor, J, Brodaty, H, and Slavin, M
Published: 2006

144. An agenda for change for dementia care across Europe

Author: BRODATY, H. and OʼCONNELL, M.
Published: 2005

145. Effects of Statins on Memory, Cognition, and Brain Volume in the Elderly

Author: Samaras, K, Makkar, SR, Crawford, JD, Kochan, NA, Slavin, MJ, Wen, W, Trollor, JN, Brodaty, H, Sachdev, PS, Samaras, K, Makkar, SR, Crawford, JD, Kochan, NA, Slavin, MJ, Wen, W, Trollor, JN, Brodaty, H, and Sachdev, PS
Published: 2019

146. The role of concern about falling on stepping performance during complex activities

Author: Viaje, S, Crombez, G, Lord, SR, Close, JCT, Sachdev, P, Brodaty, H, Delbaere, K, Viaje, S, Crombez, G, Lord, SR, Close, JCT, Sachdev, P, Brodaty, H, and Delbaere, K
Published: 2019

147. Factors associated with odour identification in older Indonesian and white Australian adults

Author: Turana, Y, Lipnicki, DM, Handajani, YS, Sani, TP, Widayanti, JR, Suswanti, I, Kochan, NA, Brodaty, H, Sachdev, PS, Turana, Y, Lipnicki, DM, Handajani, YS, Sani, TP, Widayanti, JR, Suswanti, I, Kochan, NA, Brodaty, H, and Sachdev, PS
Published: 2019

148. Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study

Author: Lipnicki, DM, Makkar, SR, Crawford, JD, Thalamuthu, A, Kochan, NA, Lima-Costa, MF, Castro-Costa, E, Ferri, CP, Brayne, C, Stephan, B, Llibre-Rodriguez, JJ, Llibre-Guerra, JJ, Valhuerdi-Cepero, AJ, Lipton, RB, Katz, MJ, Derby, CA, Ritchie, K, Ancelin, M-L, Carrière, I, Scarmeas, N, Yannakoulia, M, Hadjigeorgiou, GM, Lam, L, Chan, W-C, Fung, A, Guaita, A, Vaccaro, R, Davin, A, Kim, KW, Han, JW, Suh, SW, Riedel-Heller, SG, Roehr, S, Pabst, A, van Boxtel, M, Köhler, S, Deckers, K, Ganguli, M, Jacobsen, EP, Hughes, TF, Anstey, KJ, Cherbuin, N, Haan, MN, Aiello, AE, Dang, K, Kumagai, S, Chen, T, Narazaki, K, Ng, TP, Gao, Q, Nyunt, MSZ, Scazufca, M, Brodaty, H, Numbers, K, Trollor, JN, Meguro, K, Yamaguchi, S, Ishii, H, Lobo, A, Lopez-Anton, R, Santabárbara, J, Leung, Y, Lo, JW, Popovic, G, Sachdev, PS, Lipnicki, DM, Makkar, SR, Crawford, JD, Thalamuthu, A, Kochan, NA, Lima-Costa, MF, Castro-Costa, E, Ferri, CP, Brayne, C, Stephan, B, Llibre-Rodriguez, JJ, Llibre-Guerra, JJ, Valhuerdi-Cepero, AJ, Lipton, RB, Katz, MJ, Derby, CA, Ritchie, K, Ancelin, M-L, Carrière, I, Scarmeas, N, Yannakoulia, M, Hadjigeorgiou, GM, Lam, L, Chan, W-C, Fung, A, Guaita, A, Vaccaro, R, Davin, A, Kim, KW, Han, JW, Suh, SW, Riedel-Heller, SG, Roehr, S, Pabst, A, van Boxtel, M, Köhler, S, Deckers, K, Ganguli, M, Jacobsen, EP, Hughes, TF, Anstey, KJ, Cherbuin, N, Haan, MN, Aiello, AE, Dang, K, Kumagai, S, Chen, T, Narazaki, K, Ng, TP, Gao, Q, Nyunt, MSZ, Scazufca, M, Brodaty, H, Numbers, K, Trollor, JN, Meguro, K, Yamaguchi, S, Ishii, H, Lobo, A, Lopez-Anton, R, Santabárbara, J, Leung, Y, Lo, JW, Popovic, G, and Sachdev, PS
Published: 2019

149. Corticosteroids and Regional Variations in Thickness of the Human Cerebral Cortex across the Lifespan

Author: Parker, N, Vidal-Pineiro, D, French, L, Shin, J, Adams, HHH, Brodaty, H, Cox, SR, Deary, IJ, Fjell, AM, Frenzel, S, Grabe, H, Hosten, N, Ikram, MA, Jiang, J, Knol, MJ, Mazoyer, B, Mishra, A, Sachdev, PS, Salum, G, Satizabal, CL, Schmidt, H, Schmidt, R, Seshadri, S, Schumann, G, Völzke, H, Walhovd, KB, Wen, W, Wittfeld, K, Yang, Q, Debette, S, Pausova, Z, Paus, T, Parker, N, Vidal-Pineiro, D, French, L, Shin, J, Adams, HHH, Brodaty, H, Cox, SR, Deary, IJ, Fjell, AM, Frenzel, S, Grabe, H, Hosten, N, Ikram, MA, Jiang, J, Knol, MJ, Mazoyer, B, Mishra, A, Sachdev, PS, Salum, G, Satizabal, CL, Schmidt, H, Schmidt, R, Seshadri, S, Schumann, G, Völzke, H, Walhovd, KB, Wen, W, Wittfeld, K, Yang, Q, Debette, S, Pausova, Z, and Paus, T
Published: 2019

150. Validation and Normative Data for the Modified Telephone Interview for Cognitive Status: The Sydney Memory and Ageing Study

Author: Bentvelzen, AC, Crawford, JD, Theobald, A, Maston, K, Slavin, MJ, Reppermund, S, Kang, K, Numbers, K, Brodaty, H, Sachdev, P, Kochan, NA, Bentvelzen, AC, Crawford, JD, Theobald, A, Maston, K, Slavin, MJ, Reppermund, S, Kang, K, Numbers, K, Brodaty, H, Sachdev, P, and Kochan, NA
Published: 2019

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