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2. Tuning magnetic states in CrI$_3$ bilayers via Moir\'e patterns

Author

León, A. M., Velásquez, E. A., Caro-Lopera, F., and Mejía-López, J.

Subjects
Condensed Matter - Materials Science
Abstract

Commensurable twisted bilayers can drastically change the magnetic properties of chromium trihalide layered compounds, which opens novel opportunities for tuning magnetic states through layer rotations. Here, we introduce a mathematical approach to obtain moir\'e patterns in twisted hexagonal bilayers by performing a certain commensurable rotation $\theta$ over one layer. To test our approach, we apply it to find moir\'e structures with $\theta=21.79^{\circ}$ and $32.20^{\circ}$ in the phases R$\bar{3}$ and C2/m of CrI$_{3}$. For comparison purposes, we also consider a non-shifted CrI$_{3}$ structure. Electronic and magnetic properties of the so-obtained systems are computed by \textit{Ab-Initio} methodologies. Results show the presence of rotation-angle-dependent magnetic configurations and steep modifications of the dispersion bands due to variations in the nearest and next nearest distances among layers of Cr atoms. Modifications obtained from these commensurable rotations are discussed on the basis of competition among different energy contributions due to changes in the atomic arrangements., Comment: 10 pages, 6 figures

Published
2021

4. Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features

Author

Rios-Urrego, C. D., Vásquez-Correa, J. C., Vargas-Bonilla, J. F., Nöth, E., Lopera, F., and Orozco-Arroyave, J. R.

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Statistics - Machine Learning
Abstract

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting analysis can help in supporting the diagnosis and in monitoring the progress of the disease. This paper aims to evaluate the importance of different groups of features to model handwriting deficits that appear due to Parkinson's disease; and how those features are able to discriminate between Parkinson's disease patients and healthy subjects. Methods: Features based on kinematic, geometrical and non-linear dynamics analyses were evaluated to classify Parkinson's disease and healthy subjects. Classifiers based on K-nearest neighbors, support vector machines, and random forest were considered. Results: Accuracies of up to $93.1\%$ were obtained in the classification of patients and healthy control subjects. A relevance analysis of the features indicated that those related to speed, acceleration, and pressure are the most discriminant. The automatic classification of patients in different stages of the disease shows $\kappa$ indexes between $0.36$ and $0.44$. Accuracies of up to $83.3\%$ were obtained in a different dataset used only for validation purposes. Conclusions: The results confirmed the negative impact of aging in the classification process when we considered different groups of healthy subjects. In addition, the results reported with the separate validation set comprise a step towards the development of automated tools to support the diagnosis process in clinical practice.

Published
2020
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5. Biological and Cognitive Markers of Presenilin1 E280A Autosomal Dominant Alzheimer’s Disease: A Comprehensive Review of the Colombian Kindred

Author

Fuller, JT, Cronin-Golomb, A, Gatchel, JR, Norton, DJ, Guzmán-Vélez, E, Jacobs, HIL, Hanseeuw, B, Pardilla-Delgado, E, Artola, A, Baena, A, Bocanegra, Y, Kosik, KS, Chen, K, Tariot, PN, Johnson, K, Sperling, RA, Reiman, EM, Lopera, F, and Quiroz, Yakeel T

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Cognitive and Computational Psychology, Neurosciences, Psychology, Genetics, Aging, Acquired Cognitive Impairment, Alzheimer's Disease, Brain Disorders, Dementia, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Aetiology, Neurological, Adolescent, Adult, Alzheimer Disease, Amyloid beta-Peptides, Aniline Compounds, Asymptomatic Diseases, Biomarkers, Brain, Child, Colombia, Diffusion Tensor Imaging, Disease Progression, Electroencephalography, Ethylene Glycols, Female, Functional Neuroimaging, Humans, Magnetic Resonance Imaging, Male, Mental Status and Dementia Tests, Middle Aged, Peptide Fragments, Positron-Emission Tomography, Presenilin-1, Radiopharmaceuticals, Tomography, Emission-Computed, Single-Photon, Young Adult, Autosomal dominant Alzheimer's disease, dementia, biomarkers, cognitive markers, Autosomal dominant Alzheimer’s disease, dementia, biomarkers, Biological psychology, Cognitive and computational psychology
Abstract

The study of individuals with autosomal dominant Alzheimer's disease affords one of the best opportunities to characterize the biological and cognitive changes of Alzheimer's disease that occur over the course of the preclinical and symptomatic stages. Unifying the knowledge gained from the past three decades of research in the world's largest single-mutation autosomal dominant Alzheimer's disease kindred - a family in Antioquia, Colombia with the E280A mutation in the Presenilin1 gene - will provide new directions for Alzheimer's research and a framework for generalizing the findings from this cohort to the more common sporadic form of Alzheimer's disease. As this specific mutation is virtually 100% penetrant for the development of the disease by midlife, we use a previously defined median age of onset for mild cognitive impairment for this cohort to examine the trajectory of the biological and cognitive markers of the disease as a function of the carriers' estimated years to clinical onset. Studies from this cohort suggest that structural and functional brain abnormalities - such as cortical thinning and hyperactivation in memory networks - as well as differences in biofluid and in vivo measurements of Alzheimer's-related pathological proteins distinguish Presenilin1 E280A mutation carriers from non-carriers as early as childhood, or approximately three decades before the median age of onset of clinical symptoms. We conclude our review with discussion on future directions for Alzheimer's disease research, with specific emphasis on ways to design studies that compare the generalizability of research in autosomal dominant Alzheimer's disease to the larger sporadic Alzheimer's disease population.

Published
2019

6. Whole-genome sequencing suggests a chemokine gene cluster that modifies age at onset in familial Alzheimer's disease

Author

Lalli, MA, Bettcher, BM, Arcila, ML, Garcia, G, Guzman, C, Madrigal, L, Ramirez, L, Acosta-Uribe, J, Baena, A, Wojta, KJ, Coppola, G, Fitch, R, De Both, MD, Huentelman, MJ, Reiman, EM, Brunkow, ME, Glusman, G, Roach, JC, Kao, AW, Lopera, F, and Kosik, KS

Subjects
Psychiatry, Medical and Health Sciences, Biological Sciences, Psychology and Cognitive Sciences
Abstract

We have sequenced the complete genomes of 72 individuals affected with early-onset familial Alzheimer's disease caused by an autosomal dominant, highly penetrant mutation in the presenilin-1 (PSEN1) gene, and performed genome-wide association testing to identify variants that modify age at onset (AAO) of Alzheimer's disease. Our analysis identified a haplotype of single-nucleotide polymorphisms (SNPs) on chromosome 17 within a chemokine gene cluster associated with delayed onset of mild-cognitive impairment and dementia. Individuals carrying this haplotype had a mean AAO of mild-cognitive impairment at 51.0±5.2 years compared with 41.1±7.4 years for those without these SNPs. This haplotype thus appears to modify Alzheimer's AAO, conferring a large (∼10 years) protective effect. The associated locus harbors several chemokines including eotaxin-1 encoded by CCL11, and the haplotype includes a missense polymorphism in this gene. Validating this association, we found plasma eotaxin-1 levels were correlated with disease AAO in an independent cohort from the University of California San Francisco Memory and Aging Center. In this second cohort, the associated haplotype disrupted the typical age-associated increase of eotaxin-1 levels, suggesting a complex regulatory role for this haplotype in the general population. Altogether, these results suggest eotaxin-1 as a novel modifier of Alzheimer's disease AAO and open potential avenues for therapy.

Published
2015

8. A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD

Author

Jain, M, Vélez, JI, Acosta, MT, Palacio, LG, Balog, J, Roessler, E, Pineda, D, Londoño, AC, Palacio, JD, Arbelaez, A, Lopera, F, Elia, J, Hakonarson, H, Seitz, C, Freitag, CM, Palmason, H, Meyer, J, Romanos, M, Walitza, S, Hemminger, U, Warnke, A, Romanos, J, Renner, T, Jacob, C, Lesch, K-P, Swanson, J, Castellanos, FX, Bailey-Wilson, JE, Arcos-Burgos, M, and Muenke, M

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Neurosciences, Genetics, Attention Deficit Hyperactivity Disorder (ADHD), Mental Health, 2.1 Biological and endogenous factors, Aetiology, Aspartic Acid, Attention Deficit Disorder with Hyperactivity, Brain, Case-Control Studies, Choline, Chromosomes, Human, Pair 11, Genetic Linkage, Genetic Predisposition to Disease, Glutamine, Humans, Inositol, Magnetic Resonance Spectroscopy, Methylphenidate, Polymorphism, Single Nucleotide, Protons, Receptors, G-Protein-Coupled, Receptors, Peptide, ADHD, genetic interaction, LPHN3, NCAM1, DRD2, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P

Published
2012

9. Pooling/bootstrap-based GWAS (pbGWAS) identifies new loci modifying the age of onset in PSEN1 p.Glu280Ala Alzheimer's disease

Author

Velez, J I, Chandrasekharappa, S C, Henao, E, Martinez, A F, Harper, U, Jones, M, Solomon, B D, Lopez, L, Garcia, G, Aguirre-Acevedo, D C, Acosta-Baena, N, Correa, J C, Lopera-Gomez, C M, Jaramillo-Elorza, M C, Rivera, D, Kosik, K S, Schork, N J, Swanson, J M, Lopera, F, and Arcos-Burgos, M

Subjects
PSEN1
Abstract

The literature on GWAS (genome-wide association studies) data suggests that very large sample sizes (for example, 50,000 cases and 50,000 controls) may be required to detect significant associations of genomic regions for complex disorders such as Alzheimer's disease (AD). Because of the challenges of obtaining such large cohorts, we describe here a novel sequential strategy that combines pooling of DNA and bootstrapping (pbGWAS) in order to significantly increase the statistical power and exponentially reduce expenses. We applied this method to a very homogeneous sample of patients belonging to a unique and clinically well-characterized multigenerational pedigree with one of the most severe forms of early onset AD, carrying the PSEN1 p.Glu280Ala mutation (often referred to as E280A mutation), which originated as a consequence of a founder effect. In this cohort, we identified novel loci genome-wide significantly associated as modifiers of the age of onset of AD (CD44, rs187116, P=1.29 × 10−12; NPHP1, rs10173717, P=1.74 × 10−12; CADPS2, rs3757536, P=1.54 × 10−10; GREM2, rs12129547, P=1.69 × 10−13, among others) as well as other loci known to be associated with AD. Regions identified by pbGWAS were confirmed by subsequent individual genotyping. The pbGWAS methodology and the genes it targeted could provide important insights in determining the genetic causes of AD and other complex conditions.

Published
2012

18. Using global team science to identify genetic parkinson's disease worldwide

Author

Vollstedt, E, Kasten, M, Klein, C, Aasly, J, Adler, C, Ahmad-Annuar, A, Albanese, A, Alcalay, R, Al-Mubarak, B, Alvarez, V, Andree-Munoz, B, Annesi, G, Appel-Cresswell, S, Arkadir, D, Armasu, S, Barber, T, Bardien, S, Barkhuizen, M, Barrett, M, Basak, A, Beach, T, Benitez, B, Berg, D, Bhatia, K, Binkofski, F, Blauwendraat, C, Bonifati, V, Borges, V, Bozi, M, Brice, A, Brighina, L, Brockmann, K, Brucke, T, Bruggemann, N, Camacho, M, Cardoso, F, Belin, A, Carr, J, Chan, P, Chang-Castello, J, Chase, B, Chen-Plotkin, A, Ju Chung, S, Cilia, R, Clarimon, J, Clark, L, Cornejo-Olivas, M, Corvol, J, Cosentino, C, Cras, P, Crosiers, D, Damasio, J, Das, P, de Carvalho Aguiar, P, De Michele, G, De Rosa, A, Dieguez, E, Dorszewska, J, Erer, S, Ertan, S, Farrer, M, Fedotova, E, Ferese, R, Ferrarese, C, Ferraz, H, Fiala, O, Foroud, T, Friedman, A, Frigerio, R, Funayama, M, Gambardella, S, Garraux, G, Gatto, E, Genc, G, Giladi, N, Goldwurm, S, Gomez-Esteban, J, Gomez-Garre, P, Gorostidi, A, Grosset, D, Hanagasi, H, Hardy, J, Hassan, A, Hattori, N, Hauser, R, Hedera, P, Hentati, F, Hertz, J, Holton, J, Houlden, H, Hutz, M, Ikeuchi, T, Illarioshkin, S, Inca-Martinez, M, Infante, J, Jankovic, J, Jeon, B, Jesus, S, Jimenez-Del-Rio, M, Kaasinen, V, Kataoka, H, Kawakami, H, Kim, Y, Klivenyi, P, Koks, S, Konig, I, Kostic, V, Koziorowski, D, Kruger, R, Krygowska-Wajs, A, Kulisevsky, J, Lai, D, Lang, A, Ledoux, M, Lesage, S, Lim, S, Lin, C, Lohmann, K, Lopera, F, Lopez, G, Lu, C, Lynch, T, Machaczka, M, Madoev, H, Magalhaes, M, Majamaa, K, Maraganore, D, Marder, K, Markopoulou, K, Martikainen, M, Mata, I, Mazzetti, P, Mellick, G, Menendez-Gonzalez, M, Micheli, F, Mirelman, A, Mir, P, Morino, H, Morris, H, Munhoz, R, Naito, A, Olszewska, D, Ozelius, L, Padmanabhan, S, Paisan-Ruiz, C, Payami, H, Peluso, S, Petkovic, S, Petrucci, S, Pezzoli, G, Pimentel, M, Pirker, W, Pramstaller, P, Pulkes, T, Puschmann, A, Quattrone, A, Raggio, V, Ransmayr, G, Rieder, C, Riess, O, Rodriguez-Porcel, F, Rogaeva, E, Ross, O, Ruiz-Martinez, J, Sammler, E, San Luciano, M, Satake, W, Saunders-Pullman, R, Sazci, A, Scherzer, C, Schrag, A, Schumacher-Schuh, A, Sharma, M, Sidransky, E, Singleton, A, Petersen, M, Smolders, S, Spitz, M, Stefanis, L, Struhal, W, Sue, C, Swan, M, Swanberg, M, Taba, P, Taipa, R, Tan, M, Tan, A, Tan, E, Tang, B, Tayebi, N, Thaler, A, Thomas, A, Toda, T, Toft, M, Torres, L, Tumas, V, Valente, E, Van Broeckhoven, C, Vecsei, L, Velez-Pardo, C, Vidailhet, M, Warner, T, Williams-Gray, C, Winkelmann, J, Woitalla, D, Wood, N, Wszolek, Z, Wu, R, Wu, Y, Xie, T, Yoshino, H, Zhang, B, Zimprich, A, Vollstedt E. -J., Kasten M., Klein C., Aasly J., Adler C., Ahmad-Annuar A., Albanese A., Alcalay R. N., Al-Mubarak B., Alvarez V., Andree-Munoz B., Annesi G., Appel-Cresswell S., Arkadir D., Armasu S., Barber T. R., Bardien S., Barkhuizen M., Barrett M. J., Basak A. N., Beach T., Benitez B. A., Berg D., Bhatia K., Binkofski F., Blauwendraat C., Bonifati V., Borges V., Bozi M., Brice A., Brighina L., Brockmann K., Brucke T., Bruggemann N., Camacho M., Cardoso F., Belin A. C., Carr J., Chan P., Chang-Castello J., Chase B., Chen-Plotkin A., Ju Chung S., Cilia R., Clarimon J., Clark L., Cornejo-Olivas M., Corvol J. -C., Cosentino C., Cras P., Crosiers D., Damasio J., Das P., de Carvalho Aguiar P., De Michele G., De Rosa A., Dieguez E., Dorszewska J., Erer S., Ertan S., Farrer M., Fedotova E., Ferese R., Ferrarese C., Ferraz H., Fiala O., Foroud T., Friedman A., Frigerio R., Funayama M., Gambardella S., Garraux G., Gatto E. M., Genc G., Giladi N., Goldwurm S., Gomez-Esteban J. C., Gomez-Garre P., Gorostidi A., Grosset D., Hanagasi H., Hardy J., Hassan A., Hattori N., Hauser R. A., Hedera P., Hentati F., Hertz J. M., Holton J. L., Houlden H., Hutz M. H., Ikeuchi T., Illarioshkin S., Inca-Martinez M., Infante J., Jankovic J., Jeon B. S., Jesus S., Jimenez-Del-Rio M., Kaasinen V., Kataoka H., Kawakami H., Kim Y. J., Klivenyi P., Koks S., Konig I. R., Kostic V., Koziorowski D., Kruger R., Krygowska-Wajs A., Kulisevsky J., Lai D., Lang A., LeDoux M., Lesage S., Lim S. -Y., Lin C. -H., Lohmann K., Lopera F., Lopez G., Lu C. -S., Lynch T., Machaczka M., Madoev H., Magalhaes M., Majamaa K., Maraganore D., Marder K., Markopoulou K., Martikainen M. H., Mata I., Mazzetti P., Mellick G., Menendez-Gonzalez M., Micheli F., Mirelman A., Mir P., Morino H., Morris H., Munhoz R. P., Naito A., Olszewska D. A., Ozelius L. J., Padmanabhan S., Paisan-Ruiz C., Payami H., Peluso S., Petkovic S., Petrucci S., Pezzoli G., Pimentel M., Pirker W., Pramstaller P. P., Pulkes T., Puschmann A., Quattrone A., Raggio V., Ransmayr G., Rieder C., Riess O., Rodriguez-Porcel F., Rogaeva E., Ross O. A., Ruiz-Martinez J., Sammler E., San Luciano M., Satake W., Saunders-Pullman R., Sazci A., Scherzer C., Schrag A., Schumacher-Schuh A., Sharma M., Sidransky E., Singleton A. B., Petersen M. S., Smolders S., Spitz M., Stefanis L., Struhal W., Sue C. M., Swan M., Swanberg M., Taba P., Taipa R., Tan M., Tan A. H., Tan E. -K., Tang B., Tayebi N., Thaler A., Thomas A., Toda T., Toft M., Torres L., Tumas V., Valente E. M., Van Broeckhoven C., Vecsei L., Velez-Pardo C., Vidailhet M., Warner T. T., Williams-Gray C. H., Winkelmann J., Woitalla D., Wood N. W., Wszolek Z. K., Wu R. -M., Wu Y. -R., Xie T., Yoshino H., Zhang B., Zimprich A., Vollstedt, E, Kasten, M, Klein, C, Aasly, J, Adler, C, Ahmad-Annuar, A, Albanese, A, Alcalay, R, Al-Mubarak, B, Alvarez, V, Andree-Munoz, B, Annesi, G, Appel-Cresswell, S, Arkadir, D, Armasu, S, Barber, T, Bardien, S, Barkhuizen, M, Barrett, M, Basak, A, Beach, T, Benitez, B, Berg, D, Bhatia, K, Binkofski, F, Blauwendraat, C, Bonifati, V, Borges, V, Bozi, M, Brice, A, Brighina, L, Brockmann, K, Brucke, T, Bruggemann, N, Camacho, M, Cardoso, F, Belin, A, Carr, J, Chan, P, Chang-Castello, J, Chase, B, Chen-Plotkin, A, Ju Chung, S, Cilia, R, Clarimon, J, Clark, L, Cornejo-Olivas, M, Corvol, J, Cosentino, C, Cras, P, Crosiers, D, Damasio, J, Das, P, de Carvalho Aguiar, P, De Michele, G, De Rosa, A, Dieguez, E, Dorszewska, J, Erer, S, Ertan, S, Farrer, M, Fedotova, E, Ferese, R, Ferrarese, C, Ferraz, H, Fiala, O, Foroud, T, Friedman, A, Frigerio, R, Funayama, M, Gambardella, S, Garraux, G, Gatto, E, Genc, G, Giladi, N, Goldwurm, S, Gomez-Esteban, J, Gomez-Garre, P, Gorostidi, A, Grosset, D, Hanagasi, H, Hardy, J, Hassan, A, Hattori, N, Hauser, R, Hedera, P, Hentati, F, Hertz, J, Holton, J, Houlden, H, Hutz, M, Ikeuchi, T, Illarioshkin, S, Inca-Martinez, M, Infante, J, Jankovic, J, Jeon, B, Jesus, S, Jimenez-Del-Rio, M, Kaasinen, V, Kataoka, H, Kawakami, H, Kim, Y, Klivenyi, P, Koks, S, Konig, I, Kostic, V, Koziorowski, D, Kruger, R, Krygowska-Wajs, A, Kulisevsky, J, Lai, D, Lang, A, Ledoux, M, Lesage, S, Lim, S, Lin, C, Lohmann, K, Lopera, F, Lopez, G, Lu, C, Lynch, T, Machaczka, M, Madoev, H, Magalhaes, M, Majamaa, K, Maraganore, D, Marder, K, Markopoulou, K, Martikainen, M, Mata, I, Mazzetti, P, Mellick, G, Menendez-Gonzalez, M, Micheli, F, Mirelman, A, Mir, P, Morino, H, Morris, H, Munhoz, R, Naito, A, Olszewska, D, Ozelius, L, Padmanabhan, S, Paisan-Ruiz, C, Payami, H, Peluso, S, Petkovic, S, Petrucci, S, Pezzoli, G, Pimentel, M, Pirker, W, Pramstaller, P, Pulkes, T, Puschmann, A, Quattrone, A, Raggio, V, Ransmayr, G, Rieder, C, Riess, O, Rodriguez-Porcel, F, Rogaeva, E, Ross, O, Ruiz-Martinez, J, Sammler, E, San Luciano, M, Satake, W, Saunders-Pullman, R, Sazci, A, Scherzer, C, Schrag, A, Schumacher-Schuh, A, Sharma, M, Sidransky, E, Singleton, A, Petersen, M, Smolders, S, Spitz, M, Stefanis, L, Struhal, W, Sue, C, Swan, M, Swanberg, M, Taba, P, Taipa, R, Tan, M, Tan, A, Tan, E, Tang, B, Tayebi, N, Thaler, A, Thomas, A, Toda, T, Toft, M, Torres, L, Tumas, V, Valente, E, Van Broeckhoven, C, Vecsei, L, Velez-Pardo, C, Vidailhet, M, Warner, T, Williams-Gray, C, Winkelmann, J, Woitalla, D, Wood, N, Wszolek, Z, Wu, R, Wu, Y, Xie, T, Yoshino, H, Zhang, B, Zimprich, A, Vollstedt E. -J., Kasten M., Klein C., Aasly J., Adler C., Ahmad-Annuar A., Albanese A., Alcalay R. N., Al-Mubarak B., Alvarez V., Andree-Munoz B., Annesi G., Appel-Cresswell S., Arkadir D., Armasu S., Barber T. R., Bardien S., Barkhuizen M., Barrett M. J., Basak A. N., Beach T., Benitez B. A., Berg D., Bhatia K., Binkofski F., Blauwendraat C., Bonifati V., Borges V., Bozi M., Brice A., Brighina L., Brockmann K., Brucke T., Bruggemann N., Camacho M., Cardoso F., Belin A. C., Carr J., Chan P., Chang-Castello J., Chase B., Chen-Plotkin A., Ju Chung S., Cilia R., Clarimon J., Clark L., Cornejo-Olivas M., Corvol J. -C., Cosentino C., Cras P., Crosiers D., Damasio J., Das P., de Carvalho Aguiar P., De Michele G., De Rosa A., Dieguez E., Dorszewska J., Erer S., Ertan S., Farrer M., Fedotova E., Ferese R., Ferrarese C., Ferraz H., Fiala O., Foroud T., Friedman A., Frigerio R., Funayama M., Gambardella S., Garraux G., Gatto E. M., Genc G., Giladi N., Goldwurm S., Gomez-Esteban J. C., Gomez-Garre P., Gorostidi A., Grosset D., Hanagasi H., Hardy J., Hassan A., Hattori N., Hauser R. A., Hedera P., Hentati F., Hertz J. M., Holton J. L., Houlden H., Hutz M. H., Ikeuchi T., Illarioshkin S., Inca-Martinez M., Infante J., Jankovic J., Jeon B. S., Jesus S., Jimenez-Del-Rio M., Kaasinen V., Kataoka H., Kawakami H., Kim Y. J., Klivenyi P., Koks S., Konig I. R., Kostic V., Koziorowski D., Kruger R., Krygowska-Wajs A., Kulisevsky J., Lai D., Lang A., LeDoux M., Lesage S., Lim S. -Y., Lin C. -H., Lohmann K., Lopera F., Lopez G., Lu C. -S., Lynch T., Machaczka M., Madoev H., Magalhaes M., Majamaa K., Maraganore D., Marder K., Markopoulou K., Martikainen M. H., Mata I., Mazzetti P., Mellick G., Menendez-Gonzalez M., Micheli F., Mirelman A., Mir P., Morino H., Morris H., Munhoz R. P., Naito A., Olszewska D. A., Ozelius L. J., Padmanabhan S., Paisan-Ruiz C., Payami H., Peluso S., Petkovic S., Petrucci S., Pezzoli G., Pimentel M., Pirker W., Pramstaller P. P., Pulkes T., Puschmann A., Quattrone A., Raggio V., Ransmayr G., Rieder C., Riess O., Rodriguez-Porcel F., Rogaeva E., Ross O. A., Ruiz-Martinez J., Sammler E., San Luciano M., Satake W., Saunders-Pullman R., Sazci A., Scherzer C., Schrag A., Schumacher-Schuh A., Sharma M., Sidransky E., Singleton A. B., Petersen M. S., Smolders S., Spitz M., Stefanis L., Struhal W., Sue C. M., Swan M., Swanberg M., Taba P., Taipa R., Tan M., Tan A. H., Tan E. -K., Tang B., Tayebi N., Thaler A., Thomas A., Toda T., Toft M., Torres L., Tumas V., Valente E. M., Van Broeckhoven C., Vecsei L., Velez-Pardo C., Vidailhet M., Warner T. T., Williams-Gray C. H., Winkelmann J., Woitalla D., Wood N. W., Wszolek Z. K., Wu R. -M., Wu Y. -R., Xie T., Yoshino H., Zhang B., and Zimprich A.

Published
2019

19. Tuning magnetic states in CrI$_3$ bilayers via Moir�� patterns

Author

Le��n, A. M., Vel��squez, E. A., Caro-Lopera, F., and Mej��a-L��pez, J.

Subjects
Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences
Abstract

Commensurable twisted bilayers can drastically change the magnetic properties of chromium trihalide layered compounds, which opens novel opportunities for tuning magnetic states through layer rotations. Here, we introduce a mathematical approach to obtain moir�� patterns in twisted hexagonal bilayers by performing a certain commensurable rotation $��$ over one layer. To test our approach, we apply it to find moir�� structures with $��=21.79^{\circ}$ and $32.20^{\circ}$ in the phases R$\bar{3}$ and C2/m of CrI$_{3}$. For comparison purposes, we also consider a non-shifted CrI$_{3}$ structure. Electronic and magnetic properties of the so-obtained systems are computed by \textit{Ab-Initio} methodologies. Results show the presence of rotation-angle-dependent magnetic configurations and steep modifications of the dispersion bands due to variations in the nearest and next nearest distances among layers of Cr atoms. Modifications obtained from these commensurable rotations are discussed on the basis of competition among different energy contributions due to changes in the atomic arrangements., 10 pages, 6 figures

Published
2021
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20. A common variant of the latrophilin 3 gene, LPHN3, confers susceptibility to ADHD and predicts effectiveness of stimulant medication

Author

Arcos-Burgos, M, Jain, M, Acosta, M T, Shively, S, Stanescu, H, Wallis, D, Domené, S, Vélez, J I, Karkera, J D, Balog, J, Berg, K, Kleta, R, Gahl, W A, Roessler, E, Long, R, Lie, J, Pineda, D, Londoño, A C, Palacio, J D, Arbelaez, A, Lopera, F, Elia, J, Hakonarson, H, Johansson, S, Knappskog, P M, Haavik, J, Ribases, M, Cormand, B, Bayes, M, Casas, M, Ramos-Quiroga, J A, Hervas, A, Maher, B S, Faraone, S V, Seitz, C, Freitag, C M, Palmason, H, Meyer, J, Romanos, M, Walitza, S, Hemminger, U, Warnke, A, Romanos, J, Renner, T, Jacob, C, Lesch, K-P, Swanson, J, Vortmeyer, A, Bailey-Wilson, J E, Castellanos, F X, and Muenke, M

Published
2010
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21. Effect of intermittent theta-burst stimulation on the thyroid and adrenal systems in resistant depressed patients.

Author

Duval, F., Danila, V., Weiss, T., Gonzalez Lopera, F., and Tomsa, M.

Subjects
HAMILTON Depression Inventory, TRANSCRANIAL magnetic stimulation, GLUCOCORTICOID receptors, PREFRONTAL cortex, THYROTROPIN releasing factor
Abstract

Introduction: Disturbances in the hypothalamic-pituitary-thyroid (HPT) and hypothalamic-pituitary-adrenal (HPA) axes have been frequently reported in treatment resistant depressed patients (TRDs). So far, the effects of intermittent theta-burst stimulation (iTBS) treatment—a form of repetitive transcranial magnetic stimulation (rTMS) technique—on the activity of the HPT and HPA axes are poorly understood. Objectives: The present study aimed to evaluate the effects of iTBS sessions, applied to the left dorsolateral prefrontal cortex, in TRDs with abnormal chronobiological HPT functioning at baseline (BL) possibly associated with hypercortisolemia. Methods: The ∆∆TSH test (i.e., the difference between the thyrotropin response to protirelin tests [∆TSH] performed at 8 AM and 11 PM on the same day) and the dexamethasone suppression test (DST) were performed in 12 TRDs and 14 healthy hospitalized control subjects (HCs). To be enrolled in this study, patients had to show at BL reduced ∆∆TSH values (i.e., < 2.5 mU/L) and a score of 18 or greater on the 17-item Hamilton Rating Scale for Depression (HAMD-17). Post-DST cortisol maximum (CORmax) serum level in excess of 120 nmol/L defined DST non-suppression (i.e., hypercortisolemia)—6 TRDs were DST non-suppressors at BL. After 10 and 20 iTBS sessions the ∆∆TSH test and the DST were repeated in all inpatients. A positive clinical response was defined by a final HAMD-17 score ≤ 8. Results: Compared to HCs, ∆∆TSH values were lower in TRDs at BL (p < 0.00001), and remained reduced after 10 and 20 iTBS sessions (p < 0.001 and p < 0.02 respectively). Post-DST CORmax levels were higher in TRDs than in HCs at BL (p < 0.01), but were comparable to those of HCs after 10 and 20 iTBS sessions. Responders (n = 5) were characterized by 1) a normalization of their ∆∆TSH values after 20 iTBS sessions (whereas after 10 iTBS sessions ∆∆TSH values were still reduced compared to HCs [p < 0.05]), and 2) a normality of post-DST CORmax levels at BL—while after 10 and 20 iTBS sessions post-DST CORmax levels were decreased compared to HCs (p < 0.006 and p < 0.03 respectively). Non-responders (n = 7) showed 1) no significant change in their ∆∆TSH values which remained lower than those of HCs at each assessment (all p < 0.001), 2) while increased post-DST CORmax levels found at BL (p < 0.0008 vs. HCs) normalized from the 10th iTBS session. Conclusions: The present pilot study suggests that successful iTBS treatment can restore the chronobiological activity of the HPT axis. Although iTBS may increase glucocorticoid receptor signaling, baseline hypercortisolemia could negatively impact subsequent response to iTBS treatment. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]

Published
2024
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22. Visual short-term memory relates to tau and amyloid burdens in preclinical autosomal dominant Alzheimer's disease

Author

Norton, D. J., Parra Rodriguez, M. A., Sperling, R. A., Baena, A., Guzman-Velez, E., Jin, D. S., Andrea, N., Khang, J., Schultz, A., Rentz, D.M., Pardilla-Delgado, E., Fuller, J., Johnson, K., Reiman, E.M., Lopera, F., and Quiroz, Y.T.

Subjects
RC0321
Abstract

Background: Over the past decade, visual short-term memory (VSTM) binding tests have been shown to be one of the most sensitive behavioral indicators of Alzheimer’s disease (AD), especially when they require the binding of multiple features (e.g., color and shape). Recently, it has become possible to directly measure amyloid and tau levels in vivo via positron emission tomography (PET). To this point, these behavioral and neurochemical markers have not been compared in humans with AD or at risk for it. Methods: In a cross-sectional study, we compared VSTM performance to tau and amyloid concentrations, measured by PET, in individuals certain to develop AD by virtue of their inheritance of the presenilin-1 E280A mutation. These included 21 clinically unimpaired subjects and 7 subjects with early mild cognitive impairment (MCI), as well as 30 family members who were not carriers of the mutation. Results: We found that VSTM performance correlated strongly with tau in entorhinal cortex and inferior temporal lobe, and also with amyloid when examining asymptomatic carriers only. The condition requiring binding was not preferentially linked to tau—in fact, the non-binding “shape only” condition showed a stronger relationship. Conclusions: The results confirm VSTM’s status as an early marker of AD pathology, and raise interesting questions as to the course of binding-specific versus non-binding aspects of VSTM in early AD.

Published
2020

23. Genome-Wide Analysis of Copy Number Variation in Latin American Parkinson's Disease Patients

Author

Sarihan, E.I., Pérez Palma, E., Niestroj, L.M., Loesch, D., Inca Martinez, M., Horimoto, A.R.V.R., Cornejo Olivas, M., Torres, L., Mazzetti, P., Cosentino, C., Sarapura Castro, E., Rivera Valdivia, A., Dieguez, E., Raggio, V., Lescano, Andrés, Tumas, V., Borges, V., Ferraz, H.B., Rieder, C.R., Schumacher Schuh, A.F., Santos Lobato, B.L., Velez Pardo, C., Jimenez Del-Rio, M., Lopera, F., Moreno, S., Chana Cuevas, P., Fernandez, W., Arboleda, G., Arboleda, H., Arboleda Bustos, C.E., Yearout, D., Zabetian, C.P., Thornton, T.A., O'Connor, T.D., Lal, D., Mata, I.F., Micheli, F., Gatto, E., Shumacher Schuh, A., Chaná, P., Jimenez-Del-Rio, M., Orozco, J.L., Fornaguera, J., Guillén, A.H., Acosta, G.T., Chang Castello, J., Muñoz, B.A., Medina, A., Ferrera, A., Martinez Ramirez, D., Rodriguez, M., Sarapura, H., Rivera, A., Viñuela, A., Lescano, A., Amorin, I., and Latin American Research Consortium on the Genetics of Parkinson's Disease

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Parkinson's disease, DNA Copy Number Variations, purl.org/pe-repo/ocde/ford#3.02.25 [https], Population, Genome wide analysis, Disease, Article, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, genetics, Copy-number variation, Age of Onset, education, Genotyping, education.field_of_study, Latin America, business.industry, copy number variants, Parkinson Disease, Odds ratio, Hispanic or Latino, Middle Aged, medicine.disease, GENÉTICA, 030104 developmental biology, Neurology, Cohort, Neurology (clinical), business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Background Parkinson's disease is the second most common neurodegenerative disorder and affects people from all ethnic backgrounds, yet little is known about the genetics of Parkinson's disease in non-European populations. In addition, the overall identification of copy number variants at a genome-wide level has been understudied in Parkinson's patients. The objective of this study was to understand the genome-wide burden of copy number variants in Latinos and its association with Parkinson's disease. Methods We used genome-wide genotyping data from 747 Parkinson's disease patients and 632 controls from the Latin American Research Consortium on the Genetics of Parkinson's disease. Results Genome-wide copy number burden analysis showed that patients were significantly enriched for copy number variants overlapping known Parkinson's disease genes compared with controls (odds ratio, 3.97; 95%CI, 1.69-10.5; P = 0.018). PRKN showed the strongest copy number burden, with 20 copy number variant carriers. These patients presented an earlier age of disease onset compared with patients with other copy number variants (median age at onset, 31 vs 57 years, respectively; P = 7.46 × 10-7 ). Conclusions We found that although overall genome-wide copy number variant burden was not significantly different, Parkinson's disease patients were significantly enriched with copy number variants affecting known Parkinson's disease genes. We also identified that of 250 patients with early-onset disease, 5.6% carried a copy number variant on PRKN in our cohort. Our study is the first to analyze genome-wide copy number variant association in Latino Parkinson's disease patients and provides insights about this complex disease in this understudied population. © 2020 International Parkinson and Movement Disorder Society.

Published
2020

24. Nutritional assessment in patients with early-onset Autosomal Dominant Alzheimer’s Disease due to PSEN1- E280A genetic variant: a cross-sectional study

Author

Gómez-Vega, M., primary, Garcia-Cifuentes, E., additional, Aguillon, D., additional, Velez, J.E., additional, Jaramillo-Jimenez, A., additional, Vasquez, D., additional, Gómez-Henck, C., additional, Andrés Tobon, C., additional, Deossa Restrepo, G.C., additional, and Lopera, F., additional

Published
2021
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27. A-05 The Latin American Spanish Version of the Face-Name Associative Memory Exam is Sensitive to Cognitive and Pathological Changes in Preclinical Autosomal Dominant Alzheimer’s Disease

Author

Vila-Castelar, C, primary, Muñoz, N, additional, Papp, K, additional, Amariglio, R, additional, Baena, A, additional, Guzmán-Vélez, E, additional, Bocanegra, Y, additional, Reiman, E, additional, Johnson, K, additional, Sperling, R, additional, Lopera, F, additional, Rentz, D, additional, and Quiroz, Y, additional

Published
2020
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29. Using global team science to identify genetic Parkinson's disease worldwide

Author

Vollstedt, E‐J, Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad‐Annuar, A., Albanese, A., Alcalay, R., Al‐Mubarak, B., Alvarez, V., Andree‐Muñoz, B., Annesi, G., Appel‐Cresswell, S., Arkadir, D., Armasu, S., Barber, T.R., Bardien, S., Barkhuizen, M., Barrett, M.J., BaŞak, A.N., Beach, T., Benitez, B.A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brüggemann, N., Camacho, M., Cardoso, F., Belin, A.C., Carr, J., Chan, P., Chang‐Castello, J., Chase, B., Chen‐Plotkin, A., Chung, S.J., Cilia, R., Clarimon, J., Clark, L., Cornejo‐Olivas, M., Corvol, J‐C, Cosentino, C., Cras, P., Crosiers, D., Damásio, J., Das, P., Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E.M., Genç, G., Goldwurm, S., Gomez‐Esteban, J.C., Gómez‐Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R.A., Hedera, P., Hentati, F., Hertz, J.M., Holton, J.L., Houlden, H., Hutz, M.H., Ikeuchi, T., Illarioshkin, S., Inca‐Martinez, M., Infante, J., Jankovic, J., Jeon, B.S., Jesús, S., Jimenez‐Del‐Rio, M., Kataoka, H., Kawakami, H., Kim, Y.J., Klivényi, P., Kõks, S., König, I.R., KostiĆ, V., Koziorowski, D., Krüger, R., Krygowska‐Wajs, A., Kulisevsky, J., Lang, A., LeDoux, M., Lesage, S., Lim, S‐Y, Lin, C‐H, Lohmann, K., Lopera, F., Lopez, G., Lu, C‐S, Lynch, T., Machaczka, M., Madoev, H., Magalhães, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M.H., Mata, I., Mazzetti, P., Mellick, G., Menéndez‐González, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R.P., Naito, A., Olszewska, D.A., Ozelius, L.J., Padmanabhan, S., Paisán‐Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P.P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez‐Porcel, F., Rogaeva, E., Ross, O.A., Ruiz‐Martinez, J., Sammler, E., Luciano, M.S., Satake, W., Saunders‐Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher‐Schuh, A., Sharma, M., Sidransky, E., Singleton, A.B., Petersen, M.S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A.H., Tan, E‐K, Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E.M., Van Broeckhoven, C., Vecsei, L., Velez‐Pardo, C., Vidailhet, M., Warner, T.T., Williams‐Gray, C.H., Winkelmann, J., Woitalla, D., Wood, N.W., Wszolek, Z.K., Wu, R‐M, Wu, Y‐R, Xie, T., Yoshino, H., Zhang, B., Zimprich, A., Vollstedt, E‐J, Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad‐Annuar, A., Albanese, A., Alcalay, R., Al‐Mubarak, B., Alvarez, V., Andree‐Muñoz, B., Annesi, G., Appel‐Cresswell, S., Arkadir, D., Armasu, S., Barber, T.R., Bardien, S., Barkhuizen, M., Barrett, M.J., BaŞak, A.N., Beach, T., Benitez, B.A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brüggemann, N., Camacho, M., Cardoso, F., Belin, A.C., Carr, J., Chan, P., Chang‐Castello, J., Chase, B., Chen‐Plotkin, A., Chung, S.J., Cilia, R., Clarimon, J., Clark, L., Cornejo‐Olivas, M., Corvol, J‐C, Cosentino, C., Cras, P., Crosiers, D., Damásio, J., Das, P., Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E.M., Genç, G., Goldwurm, S., Gomez‐Esteban, J.C., Gómez‐Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R.A., Hedera, P., Hentati, F., Hertz, J.M., Holton, J.L., Houlden, H., Hutz, M.H., Ikeuchi, T., Illarioshkin, S., Inca‐Martinez, M., Infante, J., Jankovic, J., Jeon, B.S., Jesús, S., Jimenez‐Del‐Rio, M., Kataoka, H., Kawakami, H., Kim, Y.J., Klivényi, P., Kõks, S., König, I.R., KostiĆ, V., Koziorowski, D., Krüger, R., Krygowska‐Wajs, A., Kulisevsky, J., Lang, A., LeDoux, M., Lesage, S., Lim, S‐Y, Lin, C‐H, Lohmann, K., Lopera, F., Lopez, G., Lu, C‐S, Lynch, T., Machaczka, M., Madoev, H., Magalhães, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M.H., Mata, I., Mazzetti, P., Mellick, G., Menéndez‐González, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R.P., Naito, A., Olszewska, D.A., Ozelius, L.J., Padmanabhan, S., Paisán‐Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P.P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez‐Porcel, F., Rogaeva, E., Ross, O.A., Ruiz‐Martinez, J., Sammler, E., Luciano, M.S., Satake, W., Saunders‐Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher‐Schuh, A., Sharma, M., Sidransky, E., Singleton, A.B., Petersen, M.S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A.H., Tan, E‐K, Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E.M., Van Broeckhoven, C., Vecsei, L., Velez‐Pardo, C., Vidailhet, M., Warner, T.T., Williams‐Gray, C.H., Winkelmann, J., Woitalla, D., Wood, N.W., Wszolek, Z.K., Wu, R‐M, Wu, Y‐R, Xie, T., Yoshino, H., Zhang, B., and Zimprich, A.

Abstract

Talks on rare diseases in the field of neurology often start with a statement like this: “About 80% of all rare diseases have a neurologic manifestation and about 80% of those are genetic in origin.” Although these numbers probably represent more of an estimate than well‐documented evidence, rapidly advancing and cost‐effective sequencing technologies have led to the quickly growing identification of patients with hereditary neurological diseases...

Published
2019

30. Biological and Cognitive Markers of Presenilin1 E280A Autosomal Dominant Alzheimer's Disease: A Comprehensive Review of the Colombian Kindred.

Author

UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service de neurologie, Fuller, J T, Cronin-Golomb, A, Gatchel, J R, Norton, D J, Guzmán-Vélez, E, Jacobs, H I L, Hanseeuw, Bernard, Pardilla-Delgado, E, Artola, A, Baena, A, Bocanegra, Y, Kosik, K S, Chen, K, Tariot, P N, Johnson, K, Sperling, R A, Reiman, E M, Lopera, F, Quiroz, Y T, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service de neurologie, Fuller, J T, Cronin-Golomb, A, Gatchel, J R, Norton, D J, Guzmán-Vélez, E, Jacobs, H I L, Hanseeuw, Bernard, Pardilla-Delgado, E, Artola, A, Baena, A, Bocanegra, Y, Kosik, K S, Chen, K, Tariot, P N, Johnson, K, Sperling, R A, Reiman, E M, Lopera, F, and Quiroz, Y T

Abstract

The study of individuals with autosomal dominant Alzheimer's disease affords one of the best opportunities to characterize the biological and cognitive changes of Alzheimer's disease that occur over the course of the preclinical and symptomatic stages. Unifying the knowledge gained from the past three decades of research in the world's largest single-mutation autosomal dominant Alzheimer's disease kindred - a family in Antioquia, Colombia with the E280A mutation in the Presenilin1 gene - will provide new directions for Alzheimer's research and a framework for generalizing the findings from this cohort to the more common sporadic form of Alzheimer's disease. As this specific mutation is virtually 100% penetrant for the development of the disease by midlife, we use a previously defined median age of onset for mild cognitive impairment for this cohort to examine the trajectory of the biological and cognitive markers of the disease as a function of the carriers' estimated years to clinical onset. Studies from this cohort suggest that structural and functional brain abnormalities - such as cortical thinning and hyperactivation in memory networks - as well as differences in biofluid and in vivo measurements of Alzheimer's-related pathological proteins distinguish Presenilin1 E280A mutation carriers from non-carriers as early as childhood, or approximately three decades before the median age of onset of clinical symptoms. We conclude our review with discussion on future directions for Alzheimer's disease research, with specific emphasis on ways to design studies that compare the generalizability of research in autosomal dominant Alzheimer's disease to the larger sporadic Alzheimer's disease population.

Published
2019

31. Using global team science to identify genetic parkinson's disease worldwide

Author

Vollstedt, E. -J., Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad-Annuar, A., Albanese, Alberto, Alcalay, R. N., Al-Mubarak, B., Alvarez, V., Andree-Munoz, B., Annesi, G., Appel-Cresswell, S., Arkadir, D., Armasu, S., Barber, T. R., Bardien, S., Barkhuizen, M., Barrett, M. J., Basak, A. N., Beach, T., Benitez, B. A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brucke, T., Bruggemann, N., Camacho, M., Cardoso, F., Belin, A. C., Carr, J., Chan, P., Chang-Castello, J., Chase, B., Chen-Plotkin, A., Ju Chung, S., Cilia, R., Clarimon, J., Clark, L., Cornejo-Olivas, M., Corvol, J. -C., Cosentino, C., Cras, P., Crosiers, D., Damasio, J., Das, P., de Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E. M., Genc, G., Giladi, N., Goldwurm, S., Gomez-Esteban, J. C., Gomez-Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R. A., Hedera, P., Hentati, F., Hertz, J. M., Holton, J. L., Houlden, H., Hutz, M. H., Ikeuchi, T., Illarioshkin, S., Inca-Martinez, M., Infante, J., Jankovic, J., Jeon, B. S., Jesus, S., Jimenez-Del-Rio, M., Kaasinen, V., Kataoka, H., Kawakami, H., Kim, Y. J., Klivenyi, P., Koks, S., Konig, I. R., Kostic, V., Koziorowski, D., Kruger, R., Krygowska-Wajs, A., Kulisevsky, J., Lai, D., Lang, A., Ledoux, M., Lesage, S., Lim, S. -Y., Lin, C. -H., Lohmann, K., Lopera, F., Lopez, G., Lu, C. -S., Lynch, T., Machaczka, M., Madoev, H., Magalhaes, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M. H., Mata, I., Mazzetti, P., Mellick, G., Menendez-Gonzalez, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R. P., Naito, A., Olszewska, D. A., Ozelius, L. J., Padmanabhan, S., Paisan-Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P. P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez-Porcel, F., Rogaeva, E., Ross, O. A., Ruiz-Martinez, J., Sammler, E., San Luciano, M., Satake, W., Saunders-Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher-Schuh, A., Sharma, M., Sidransky, E., Singleton, A. B., Petersen, M. S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C. M., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A. H., Tan, E. -K., Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E. M., Van Broeckhoven, C., Vecsei, L., Velez-Pardo, C., Vidailhet, M., Warner, T. T., Williams-Gray, C. H., Winkelmann, J., Woitalla, D., Wood, N. W., Wszolek, Z. K., Wu, R. -M., Wu, Y. -R., Xie, T., Yoshino, H., Zhang, B., Zimprich, A., Albanese A. (ORCID:0000-0002-5864-0006), Vollstedt, E. -J., Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad-Annuar, A., Albanese, Alberto, Alcalay, R. N., Al-Mubarak, B., Alvarez, V., Andree-Munoz, B., Annesi, G., Appel-Cresswell, S., Arkadir, D., Armasu, S., Barber, T. R., Bardien, S., Barkhuizen, M., Barrett, M. J., Basak, A. N., Beach, T., Benitez, B. A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brucke, T., Bruggemann, N., Camacho, M., Cardoso, F., Belin, A. C., Carr, J., Chan, P., Chang-Castello, J., Chase, B., Chen-Plotkin, A., Ju Chung, S., Cilia, R., Clarimon, J., Clark, L., Cornejo-Olivas, M., Corvol, J. -C., Cosentino, C., Cras, P., Crosiers, D., Damasio, J., Das, P., de Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E. M., Genc, G., Giladi, N., Goldwurm, S., Gomez-Esteban, J. C., Gomez-Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R. A., Hedera, P., Hentati, F., Hertz, J. M., Holton, J. L., Houlden, H., Hutz, M. H., Ikeuchi, T., Illarioshkin, S., Inca-Martinez, M., Infante, J., Jankovic, J., Jeon, B. S., Jesus, S., Jimenez-Del-Rio, M., Kaasinen, V., Kataoka, H., Kawakami, H., Kim, Y. J., Klivenyi, P., Koks, S., Konig, I. R., Kostic, V., Koziorowski, D., Kruger, R., Krygowska-Wajs, A., Kulisevsky, J., Lai, D., Lang, A., Ledoux, M., Lesage, S., Lim, S. -Y., Lin, C. -H., Lohmann, K., Lopera, F., Lopez, G., Lu, C. -S., Lynch, T., Machaczka, M., Madoev, H., Magalhaes, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M. H., Mata, I., Mazzetti, P., Mellick, G., Menendez-Gonzalez, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R. P., Naito, A., Olszewska, D. A., Ozelius, L. J., Padmanabhan, S., Paisan-Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P. P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez-Porcel, F., Rogaeva, E., Ross, O. A., Ruiz-Martinez, J., Sammler, E., San Luciano, M., Satake, W., Saunders-Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher-Schuh, A., Sharma, M., Sidransky, E., Singleton, A. B., Petersen, M. S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C. M., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A. H., Tan, E. -K., Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E. M., Van Broeckhoven, C., Vecsei, L., Velez-Pardo, C., Vidailhet, M., Warner, T. T., Williams-Gray, C. H., Winkelmann, J., Woitalla, D., Wood, N. W., Wszolek, Z. K., Wu, R. -M., Wu, Y. -R., Xie, T., Yoshino, H., Zhang, B., Zimprich, A., and Albanese A. (ORCID:0000-0002-5864-0006)

Abstract

Talks on rare diseases in the field of neurology often start with a statement like this: “About 80% of all rare diseases have a neurologic manifestation and about 80% of those are genetic in origin.” Although these numbers probably represent more of an estimate than well-documented evidence, rapidly advancing and cost-effective sequencing technologies have led to the quickly growing identification of patients with hereditary neurological diseases. Although the importance of genetics for diagnosis and genetic counseling is undisputed, the recent development of first genetargeted therapies entering clinical trial1,2 is adding an important new layer to the (re-)consideration of genetic testing in neurology. However, establishing accurate genotype– phenotype and genotype–treatment relationships requires large sample sizes. Systematic reviews can serve as instruments to combine information from several small samples, but unfortunately, this is often complicated by inconsistent and incomplete reporting of clinical and genetic data across studies. Thus, large multicenter approaches are necessary to systematically and uniformly characterize patients with genetic neurologic conditions and to eventually establish sizable clinical trial-ready cohorts.

Published
2019

34. Implementation and evaluation of the Landsat Ecosystem Disturbance Adaptive Processing Systems (LEDAPS) model: a case study in the Colombian Andes

Author

Valencia, G. M., Anaya, J. A., and Caro-Lopera, F. J.

Subjects
Regresión por mínimas desviaciones absolutas, Modelo de Huber, Huber’s method, Radiometric correction, Bootstrap, lcsh:G1-922, LEDAPS, prueba exacta de Wilcoxon-Mann-Whitney, Least absolute deviation, modelo de Huber, Corrección atmosférica, Wilcoxon-Mann-Whitney test, mínimos cuadrados recortados, Mínimos cuadrados recortados, Prueba exacta de Wilcoxon-Mann-Whitney, Landsat, corrección atmosférica, Least trimmed squares, lcsh:Geography (General), regresión por mínimas desviaciones absolutas
Abstract

[EN] This paper analyzes the reflectance obtained with a series of Landsat images processed with LEDAPS model in a region of the Colombian Andes. A total of 38 images of TM and ETM sensors were calibrated to surface reflectance using LEDAPS in order to determine difference among bands of the same sensor, difference between sensors and analyze temporal patterns. Exact nonparametric statistics allow to conclude that: a) surface reflectance for band 1–5 and 7 were significantly different and this difference remains among images of different dates; b) there are statistical similarities between the TM and ETM sensors bands; c) temporal variations on surface reflectance from the years 1986 to 2013 with the sensors studied are not statistically significant. These results are supported by the implementation of robust modeling with various methods resistant to unusual observations and other typical problems of the classical least squares modeling., [ES] En este trabajo se hace un análisis de la reflectividad obtenida con una serie de imágenes Landsat procesa-das con el modelo LEDAPS en una región de los Andes Colombianos. Fueron calibradas 38 imágenes de los sensores TM y ETM con el modelo LEDAPS con el fin de evaluar las diferencias de reflectividad entre las bandas de un mismo sensor, las diferencias entre sensores, y los patrones temporales. Se utilizaron pruebas estadísticas no paramétricas exactas que permitieron concluir: a) la reflectividad superficial entre bandas (1-5 y 7) es distinta y que esta diferencia se mantiene entre escenas de fechas distintas; b) al comparar las bandas de igual longitud de onda entre los sensores TM y ETM+ hay altas similitudes estadísticas entre las bandas; c) las variaciones temporales en reflectividad desde el año 1986 a 2013 con los sensores estudiados no son significativas. Estos resultados están sustentados con la implementación de modelación robusta con varios métodos resistentes a observaciones inusuales y otros problemas típicos de la modelación de mínimos cuadrados clásicos

Published
2016

36. Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer's Disease Detected Using Quantitative Electroencephalography

Author

Ochoa JF, Alonso Lopez JF, Duque JE, Tobón CA, Baena A, Lopera F, Mañanas MA, and Hernández AM

Subjects
Alzheimer’s disease, autosomal-dominant, independent component analysis, inverse solution methods, presenilin-1, quantitative electroencephalography
Abstract

Presenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-ß. The largest family group of carriers with E280A mutation is found in Antioquia, Colombia. The study of mutation carriers provides a unique opportunity to identify brain changes in stages previous to AD. Electroencephalography (EEG) is a low cost and minimally invasiveness technique that enables the following of brain changes in AD.

Published
2017

37. Genetic Ancestry and Susceptibility to Late-Onset Alzheimer Disease (LOAD) in the Admixed Colombian Population

Author

Moreno DJ, Pino S, Ríos Á, Lopera F, Ostos H, Via M, and Bedoya G

Abstract

INTRODUCTION: Differences in the prevalence of dementia among populations and in the effect of apolipoprotein E (APOE) on the emergence of Alzheimer disease (AD), which is the main type of dementia, have been reported. METHODS: This study estimated the ancestry of a group of individuals with late-onset Alzheimer disease (LOAD) (N=280) and established whether there were any differences when compared with a control group (N=357) in a sample of the Colombian population. RESULTS: When the analyses were adjusted for known risk factors such as age, sex, presence of APOE[Latin Small Letter Open E]4, socioeconomic status, educational attainment, and place of birth, African ancestry was associated with an increased LOAD risk (odds ratio: 1.55; 95% confidence interval, 1.09-2.03; P=0.029), whereas Native American ancestry was associated with lower risk (odds ratio: 0.75; 95% confidence interval, 0.61-0.98; P=0.046), for every 10% increase in ancestry. In addition, there were significant differences in the proportion of Native American ancestry between carriers and noncarriers of the APOE[Latin Small Letter Open E]4 allele (Mann-Whitney U test, P=0.047), with noncarriers having higher mean Native American ancestry when compared with carriers. CONCLUSIONS: Our results are consistent with the presence of variants of African origin in the genome of the Colombian population and different from APOE[Latin Small Letter Open E]4 that represents a risk factor for the development of LOAD, whereas variants of Native American origin may be conferring protection. However, unknown environmental factors or epigenetic differences among continental groups could also explain the observed associations.

Published
2017

38. La función cuantil:Una aplicación al estudio de la proporcionalidad entre características poblacionales

Author

García Lopera, F., Cantalejo García , F., and Molina Ruiz , S.J

Subjects
Función cuantil, Estimador ratio simple, Proporcionalidad de datos poblacionales, Probabilities. Mathematical statistics, QA273-280, Social Sciences
Abstract

En este trabajo desarrollamos un breve estudio sobre la función cuantil y su estimación según un determinado método en el caso de utilizar información auxiliar. Presentamos el método de estimación de la función cuantil que va acompañado de la estimación de la función de distribución. Consideradas dos características de esa población, definimos un estimador ratio simple de la función cuantil que nos va a servir para poder analizar la relación de proporcionalidad que pueda existir entre ambas, observando que cuanto mayor es esta relación más se aproxima el estimador ratio a la función cuantil de la población, coincidiendo ambas en el caso de que esta relación de proporcionalidad sea total. Se acompaña dicho estudio de una simulación realizada sobre una población donde hemos analizado las dos características.

Published
1998

39. La valoración financiera de las varianzas como instrumento de medida de riesgo en las operaciones financieras aleatorias

Author

García Lopera, F., Cantalejo García , F., and Molina Ruiz , S.J

Subjects
Riesgo, Opraciones financieras aleatorias, Procesos estocásticos, Valoración financiera, Probabilities. Mathematical statistics, QA273-280, Social Sciences
Abstract

Esta comunicaación pretende cuantificar en unidades monetarias el riesgo inherentes a las operaciones financieras aleatorias y logicamente, dicha cantidad estará referida al momento de su disponibilidad. Por lo tanto el análisis y valoración del riesgo, que clásicamente se hace a través de las desviaciones típicas, lo completamos mediante la valoración de dichas desviaciones mediante una ley finanicera; para ello utilizamos como función de distribución la función de desviación típica de los procesos estocásticos de prestación y contraprestación.

Published
1998

40. Biopercular syndrome caused by unilateral ischemia. Report of one case

Author

Giraldo-Chica, M, Ramírez, J, Uribe, C, and Lopera, F

Subjects
Ischemia, Diplegia, spastic, Middle cerebral artery
Abstract

Biopercular syndrome is a labio-facio-pharyngeal-laryngeal-gloso-masticatory diplegia, with automatic dissociation of movements. Ischemia is the most common etiology when it occurs bilaterally in the opercular area, but it has been also described in patients with bilateral subcortical lesions. There are few cases described with unilateral lesions. We report a 76-year-old woman who developed a biopercular syndrome caused by unilateral ischemic lesion of the right middle cerebral artery confirmed by magnetic resonance imaging and cerebral SPECT.

Published
2016

41. THE VALUE OF PRE-SCREENING IN THE ALZHEIMER’S PREVENTION INITIATIVE (API) AUTOSOMAL DOMINANT ALZHEIMER’S DISEASE TRIAL

Author

Rios-Romenets, S., primary, Lopera, F., additional, Reiman, E.M., additional, Tariot, P.N., additional, Langbaum, J.B., additional, Ward, M., additional, Cho, W., additional, Tobón, C., additional, Ospina, P., additional, Muñoz, C., additional, Acosta-Baena, N., additional, Ramos, C., additional, Piedrahita, F., additional, López, H., additional, and Giraldo-Chica, M., additional

Published
2017
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42. Neuropathological differences between familial Alzheimer’s disease (FAD) caused by Presenilin mutation E280A and sporadic Alzheimer’s disease (SAD)

Author

Sepulveda-Falla, D, Dinkel, F, Dohler, F, Hagel, C, Lopera, F, and Glatzel, M

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Introduction: Even though less than 1% of Alzheimer’s disease (AD) is of hereditary origin, FAD is used as a reference for its natural history and as a framework for the development of animal models and therapies for the disease. Given that all known mutations for FAD occur in proteins involved[for full text, please go to the a.m. URL], 60th Annual Meeting of the German Society for Neuropathology and Neuroanatomy (DGNN)

Published
2015
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47. Variants in triggering receptor expressed on myeloid cells 2 are associated with both behavioral variant frontotemporal lobar degeneration and Alzheimer's disease

Author

Giraldo, M, Lopera, F, Siniard, AL, Corneveaux, JJ, Schrauwen, I, Carvajal, J, Muñoz, C, Ramirez-Restrepo, M, Gaiteri, C, Myers, AJ, Caselli, RJ, Kosik, KS, Reiman, EM, and Huentelman, MJ

Subjects
Aging, Clinical Sciences, Neurodegenerative, Alzheimer's Disease, Cohort Studies, Alzheimer Disease, Immunologic, Risk Factors, Clinical Research, Receptors, TREM2, Acquired Cognitive Impairment, Genetics, Humans, 2.1 Biological and endogenous factors, Behavior, Membrane Glycoproteins, Neurology & Neurosurgery, neurodegeneration, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Mutation, Neurological, Dementia, Frontotemporal Lobar Degeneration, FTLD
Abstract

Recent evidence suggests that rare genetic variants within the TREM2 gene are associated with increased risk of Alzheimer's disease. TREM2 mutations are the genetic basis for a condition characterized by polycystic lipomembranous osteodysplasia with sclerosing leukoencephalopathy (PLOSL) and an early-onset dementia syndrome. TREM2 is important in the phagocytosis of apoptotic neuronal cells by microglia in the brain. Loss of function might lead to an impaired clearance and to accumulation of necrotic debris and subsequent neurodegeneration. In this study, we investigated a consanguineous family segregating autosomal recessive behavioral variant FTLD from Antioquia, Colombia. Exome sequencing identified a nonsense mutation in TREM2 (p.Trp198X) segregating with disease. Next, using a cohort of clinically characterized and neuropathologically verified sporadic AD cases and controls, we report replication of the AD risk association at rs75932628 within TREM2 and demonstrate that TREM2 is significantly overexpressed in the brain tissue from AD cases. These data suggest that a mutational burden in TREM2 may serve as a risk factor for neurodegenerative disease in general, and that potentially this class of TREM2 variant carriers with dementia should be considered as having a molecularly distinct form of neurodegenerative disease. © 2013 Elsevier Inc.

Published
2013
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48. APOE*E2 allele delays age of onset in PSEN1 E280A Alzheimer’s disease

Author

Vélez, J I, primary, Lopera, F, additional, Sepulveda-Falla, D, additional, Patel, H R, additional, Johar, A S, additional, Chuah, A, additional, Tobón, C, additional, Rivera, D, additional, Villegas, A, additional, Cai, Y, additional, Peng, K, additional, Arkell, R, additional, Castellanos, F X, additional, Andrews, S J, additional, Silva Lara, M F, additional, Creagh, P K, additional, Easteal, S, additional, de Leon, J, additional, Wong, M L, additional, Licinio, J, additional, Mastronardi, C A, additional, and Arcos-Burgos, M, additional

Published
2015
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49. Linkage and association analysis of ADHD endophenotypes in extended and multigenerational pedigrees from a genetic isolate

Author

Mastronardi, C A, primary, Pillai, E, additional, Pineda, D A, additional, Martinez, A F, additional, Lopera, F, additional, Velez, J I, additional, Palacio, J D, additional, Patel, H, additional, Easteal, S, additional, Acosta, M T, additional, Castellanos, F X, additional, Muenke, M, additional, and Arcos-Burgos, M, additional

Published
2015
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50. Visual short-term memory binding deficits in familial Alzheimer's disease

Author

Parra, Mario, Abrahams, S., Logie, R. H., Mendez, L. G., Lopera, F., and Della Sala, S.

Subjects
presenilin-1, memory binding, neuropsychological markers, short-term memory, familial Alzheimer’s disease, working memory
Abstract

Short-term memory binding is a memory function that underpins the temporary retention of complex objects (e.g. shapes with colours). In the verbal domain, this function has been found to be impaired in sporadic Alzheimer’s disease. Whether short-term memory binding is also impaired in familial Alzheimer’s disease, whether this impairment extends to the visual domain and whether it could be detected earlier than other cognitive deficits are issues yet to be investigated. Twenty two patients with familial Alzheimer’s disease caused by the E280A single presenilin-1 mutation, thirty carriers of the mutation who did not meet Alzheimer’s disease criteria (asymptomatic carriers) and 30 healthy relatives (non-carrier healthy controls) were assessed with a visual short-term memory task and a neuropsychological battery. The short-term memory task assessed the recognition of shapes, colours or shape-colour bindings presented in two consecutive arrays (i.e. study and test). Changes, which always occurred in the test array, consisted of new features replacing studied features (single feature conditions) or of features swapping across items (the binding condition). The neuropsychological battery comprised tests of associative and non-associative memory, attention, language, visuospatial and executive functions. Patients with Alzheimer’s disease and asymptomatic carriers performed significantly worse than healthy controls in the feature binding condition only. Group comparisons between asymptomatic carriers and healthy controls on standard neuropsychological tasks revealed no significant differences. Classification and area under the curve analyses confirmed that the binding task combines more sensitivity and specificity for patients with Alzheimer’s disease and most notably for asymptomatic carriers of the mutation than other traditional neuropsychological measures. This suggests that visual short-term memory binding deficits may be a preclinical marker for familial Alzheimer’s disease.

Published
2010
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