158 results on '"Dukart, J"'
Search Results
2. Variability in the analysis of a single neuroimaging dataset by many teams
- Author
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Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J. A., Adcock, R. A., Avesani, P., Baczkowski, B. M., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., Benoit, R. G., Berkers, R. M. W. J., Bhanji, J. P., Biswal, B. B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn, K. L., Bowring, A., Braem, S., Brooks, H. R., Brudner, E. G., Calderon, C. B., Camilleri, J. A., Castrellon, J. J., Cecchetti, L., Cieslik, E. C., Cole, Z. J., Collignon, O., Cox, R. W., Cunningham, W. A., Czoschke, S., Dadi, K., Davis, C. P., Luca, A. D., Delgado, M. R., Demetriou, L., Dennison, J. B., Di, X., Dickie, E. W., Dobryakova, E., Donnat, C. L., Dukart, J., Duncan, N. W., Durnez, J., Eed, A., Eickhoff, S. B., Erhart, A., Fontanesi, L., Fricke, G. M., Fu, S., Galván, A., Gau, R., Genon, S., Glatard, T., Glerean, E., Goeman, J. J., Golowin, S. A. E., González-García, C., Gorgolewski, K. J., Grady, C. L., Green, M. A., Guassi Moreira, J. F., Guest, O., Hakimi, S., Hamilton, J. P., Hancock, R., Handjaras, G., Harry, B.B., Hawco, C., Herholz, P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C. P., Huettel, S. A., Hughes, M. E., Iacovella, V., Iordan, A. D., Isager, P. M., Isik, A. I., Jahn, Andrew, Johnson, Matthew R., Johnstone, Tom, Joseph, Michael J. E., Juliano, Anthony C., Kable, Joseph W., Kassinopoulos, Michalis, Koba, Cemal, Kong, Xiang-Zhen, Koscik, Timothy R., Kucukboyaci, Nuri Erkut, Kuhl, Brice A., Kupek, Sebastian, Laird, Angela R., Lamm, Claus, Langner, Robert, Lauharatanahirun, Nina, Lee, Hongmi, Lee, Sangil, Leemans, Alexander, Leo, Andrea, Lesage, Elise, Li, Flora, Li, Monica Y. C., Lim, Cheng Phui, Lintz, Evan N., Liphardt, Schuyler W., Losecaat Vermeer, Annabel B., Love, Bradley C., Mack, Michael L., Malpica, Norberto, Marins, Theo, Maumet, Camille, McDonald, Kelsey, McGuire, Joseph T., Méndez Leal, Adriana S., Meyer, Benjamin, Meyer, Kristin N., Mihai, Glad, Mitsis, Georgios D., Moll, Jorge, Nielson, Dylan M., Nilsonne, Gustav, Notter, Michael P., Olivetti, Emanuele, Onicas, Adrian I., Papale, Paolo, Patil, Kaustubh R., Peelle, Jonathan E., Pérez, Alexandre, Pischedda, Doris, Poline, Jean-Baptiste, Prystauka,Yanina, Ray, Shruti, Reuter-Lorenz, Patricia A., Reynolds, Richard C., Ricciardi, Emiliano, Rieck, Jenny R., Rodriguez-Thompson, Anais M., Romyn, Anthony, Salo, Taylor, Samanez-Larkin, Gregory R., Sanz-Morales, Emilio, Schlichting, Margaret L., Schultz, Douglas H., Shen, Qiang, Sheridan, Margaret A., Silvers, Jennifer A., Skagerlund, Kenny, Smith, Alec, Smith, David V., Sokol-Hessner, Peter, Steinkamp, Simon R., Tashjian, Sarah M., Thirion, Bertrand, Thorp, John N., Tinghög, Gustav, Tisdall, Loreen, Tompson, Steven H., Toro-Serey, Claudio, Torre Tresols, Juan Jesus, Tozzi, Leonardo, Truong, Vuong, Turella, Luca, van ‘t Veer, Anna E., Verguts, Tom, Vettel, Jean M., Vijayarajah, Sagana, Vo, Khoi, Wall, Matthew B., Weeda, Wouter D., Weis, Susanne, White, David J., Wisniewski, David, Xifra-Porxas, Alba, Yearling, Emily A., Yoon, Sangsuk, Yuan, Rui, Yuen, Kenneth S. L., Lei Zhang, Zhang, Xu, Zosky, Joshua E., Thomas E. Nichols, Poldrack, Rusell A., Schonberg, Tom, Melero Carrasco, Helena, Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J. A., Adcock, R. A., Avesani, P., Baczkowski, B. M., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., Benoit, R. G., Berkers, R. M. W. J., Bhanji, J. P., Biswal, B. B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn, K. L., Bowring, A., Braem, S., Brooks, H. R., Brudner, E. G., Calderon, C. B., Camilleri, J. A., Castrellon, J. J., Cecchetti, L., Cieslik, E. C., Cole, Z. J., Collignon, O., Cox, R. W., Cunningham, W. A., Czoschke, S., Dadi, K., Davis, C. P., Luca, A. D., Delgado, M. R., Demetriou, L., Dennison, J. B., Di, X., Dickie, E. W., Dobryakova, E., Donnat, C. L., Dukart, J., Duncan, N. W., Durnez, J., Eed, A., Eickhoff, S. B., Erhart, A., Fontanesi, L., Fricke, G. M., Fu, S., Galván, A., Gau, R., Genon, S., Glatard, T., Glerean, E., Goeman, J. J., Golowin, S. A. E., González-García, C., Gorgolewski, K. J., Grady, C. L., Green, M. A., Guassi Moreira, J. F., Guest, O., Hakimi, S., Hamilton, J. P., Hancock, R., Handjaras, G., Harry, B.B., Hawco, C., Herholz, P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C. P., Huettel, S. A., Hughes, M. E., Iacovella, V., Iordan, A. D., Isager, P. M., Isik, A. I., Jahn, Andrew, Johnson, Matthew R., Johnstone, Tom, Joseph, Michael J. E., Juliano, Anthony C., Kable, Joseph W., Kassinopoulos, Michalis, Koba, Cemal, Kong, Xiang-Zhen, Koscik, Timothy R., Kucukboyaci, Nuri Erkut, Kuhl, Brice A., Kupek, Sebastian, Laird, Angela R., Lamm, Claus, Langner, Robert, Lauharatanahirun, Nina, Lee, Hongmi, Lee, Sangil, Leemans, Alexander, Leo, Andrea, Lesage, Elise, Li, Flora, Li, Monica Y. C., Lim, Cheng Phui, Lintz, Evan N., Liphardt, Schuyler W., Losecaat Vermeer, Annabel B., Love, Bradley C., Mack, Michael L., Malpica, Norberto, Marins, Theo, Maumet, Camille, McDonald, Kelsey, McGuire, Joseph T., Méndez Leal, Adriana S., Meyer, Benjamin, Meyer, Kristin N., Mihai, Glad, Mitsis, Georgios D., Moll, Jorge, Nielson, Dylan M., Nilsonne, Gustav, Notter, Michael P., Olivetti, Emanuele, Onicas, Adrian I., Papale, Paolo, Patil, Kaustubh R., Peelle, Jonathan E., Pérez, Alexandre, Pischedda, Doris, Poline, Jean-Baptiste, Prystauka,Yanina, Ray, Shruti, Reuter-Lorenz, Patricia A., Reynolds, Richard C., Ricciardi, Emiliano, Rieck, Jenny R., Rodriguez-Thompson, Anais M., Romyn, Anthony, Salo, Taylor, Samanez-Larkin, Gregory R., Sanz-Morales, Emilio, Schlichting, Margaret L., Schultz, Douglas H., Shen, Qiang, Sheridan, Margaret A., Silvers, Jennifer A., Skagerlund, Kenny, Smith, Alec, Smith, David V., Sokol-Hessner, Peter, Steinkamp, Simon R., Tashjian, Sarah M., Thirion, Bertrand, Thorp, John N., Tinghög, Gustav, Tisdall, Loreen, Tompson, Steven H., Toro-Serey, Claudio, Torre Tresols, Juan Jesus, Tozzi, Leonardo, Truong, Vuong, Turella, Luca, van ‘t Veer, Anna E., Verguts, Tom, Vettel, Jean M., Vijayarajah, Sagana, Vo, Khoi, Wall, Matthew B., Weeda, Wouter D., Weis, Susanne, White, David J., Wisniewski, David, Xifra-Porxas, Alba, Yearling, Emily A., Yoon, Sangsuk, Yuan, Rui, Yuen, Kenneth S. L., Lei Zhang, Zhang, Xu, Zosky, Joshua E., Thomas E. Nichols, Poldrack, Rusell A., Schonberg, Tom, and Melero Carrasco, Helena
- Abstract
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses1. The flexibility of analytical approaches is exemplified by the fact that no two teams chose identical workflows to analyse the data. This flexibility resulted in sizeable variation in the results of hypothesis tests, even for teams whose statistical maps were highly correlated at intermediate stages of the analysis pipeline. Variation in reported results was related to several aspects of analysis methodology. Notably, a meta-analytical approach that aggregated information across teams yielded a significant consensus in activated regions. Furthermore, prediction markets of researchers in the field revealed an overestimation of the likelihood of significant findings, even by researchers with direct knowledge of the dataset2–5. Our findings show that analytical flexibility can have substantial effects on scientific conclusions, and identify factors that may be related to variability in the analysis of functional magnetic resonance imaging. The results emphasize the importance of validating and sharing complex analysis workflows, and demonstrate the need for performing and reporting multiple analyses of the same data. Potential approaches that could be used to mitigate issues related to analytical variability are discussed., Depto. de Psicobiología y Metodología en Ciencias del Comportamiento, Fac. de Psicología, TRUE, pub
- Published
- 2024
3. Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems
- Author
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Hahn, L., Eickhoff, S., Mueller, K., Schilbach, L., Barthel, H., Fassbender, K., Fliessbach, K., Kornhuber, J., Prudlo, J., Synofzik, M., Wiltfang, J., Diehl-Schmid, J., Otto, M., Dukart, J., Schroeter, M., and FTLD Consortium
- Abstract
Aside to clinical changes, behavioral variant frontotemporal dementia (bvFTD) is characterized by progressive structural and functional alterations in frontal and temporal regions. We examined if there is a selective vulnerability of specific neurotransmitter systems in bvFTD by evaluating the link between disease-related functional alterations and the spatial distribution of specific neurotransmitter systems and their underlying gene expression levels.Maps of fractional amplitude of low frequency fluctuations (fALFF) were derived as a measure of local activity from resting-state functional magnetic resonance imaging for 52 bvFTD patients (mean age = 61.5 ± 10.0 years; 14 female) and 22 healthy controls (HC) (mean age = 63.6 ± 11.9 years; 13 female). We tested if alterations of fALFF in patients co-localize with the non-pathological distribution of specific neurotransmitter systems and their coding mRNA gene expression. Further, we evaluated if the strength of co-localization is associated with the observed clinical symptoms.Patients displayed significantly reduced fALFF in fronto-temporal and fronto-parietal regions. These alterations co-localized with the distribution of serotonin (5-HT1b, 5-HT2a), dopamine (D2), and γ-aminobutyric acid (GABAa) receptors, the norepinephrine transporter (NET), and their encoding mRNA gene expression. The strength of co-localization with D2 and NET was associated with cognitive symptoms and disease severity of bvFTD.Local brain functional activity reductions in bvFTD followed the distribution of specific neurotransmitter systems indicating a selective vulnerability. These findings provide novel insight into the disease mechanisms underlying functional alterations. Our data-driven method opens the road to generate new hypotheses for pharmacological interventions in neurodegenerative diseases even beyond bvFTD.
- Published
- 2022
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4. Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
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Garcés, P., Baumeister, S., Mason, L., Chatham, C.H., Holiga, S., Dukart, J., Jones, E.J.H., Banaschewski, T., Baron-Cohen, S., Bölte, S., Buitelaar, J.K., Durston, S., Oranje, B., Persico, A.M., Beckmann, C.F., Bougeron, T., Dell'Acqua, F., Ecker, C., Moessnang, C., Charman, T., Tillmann, J., Murphy, D.G.M., Johnson, M., Loth, E., Brandeis, D., Hipp, J.F., Garcés, P., Baumeister, S., Mason, L., Chatham, C.H., Holiga, S., Dukart, J., Jones, E.J.H., Banaschewski, T., Baron-Cohen, S., Bölte, S., Buitelaar, J.K., Durston, S., Oranje, B., Persico, A.M., Beckmann, C.F., Bougeron, T., Dell'Acqua, F., Ecker, C., Moessnang, C., Charman, T., Tillmann, J., Murphy, D.G.M., Johnson, M., Loth, E., Brandeis, D., and Hipp, J.F.
- Abstract
Contains fulltext : 251391.pdf (Publisher’s version ) (Open Access), BACKGROUND: Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. METHODS: We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n = 212 ASD, n = 199 neurotypicals [NT], all with IQ > 75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split). RESULTS: In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p = .042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects. CONCLUSIONS: This suggests that PS and FC values in ASD and NT have a strong overlap, and that diff
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- 2022
5. Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity
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Adhikari, BM, Adhikari, BM, Hong, LE, Zhao, Z, Wang, DJJ, Thompson, PM, Jahanshad, N, Zhu, AH, Holiga, S, Turner, JA, van Erp, TGM, Calhoun, VD, Hatch, KS, Bruce, H, Hare, SM, Chiappelli, J, Goldwaser, EL, Kvarta, MD, Ma, Y, Du, X, Nichols, TE, Shuldiner, AR, Mitchell, BD, Dukart, J, Chen, S, Kochunov, P, Adhikari, BM, Adhikari, BM, Hong, LE, Zhao, Z, Wang, DJJ, Thompson, PM, Jahanshad, N, Zhu, AH, Holiga, S, Turner, JA, van Erp, TGM, Calhoun, VD, Hatch, KS, Bruce, H, Hare, SM, Chiappelli, J, Goldwaser, EL, Kvarta, MD, Ma, Y, Du, X, Nichols, TE, Shuldiner, AR, Mitchell, BD, Dukart, J, Chen, S, and Kochunov, P
- Abstract
Regional homogeneity (ReHo) is a measure of local functional brain connectivity that has been reported to be altered in a wide range of neuropsychiatric disorders. Computed from brain resting-state functional MRI time series, ReHo is also sensitive to fluctuations in cerebral blood flow (CBF) that in turn may be influenced by cerebrovascular health. We accessed cerebrovascular health with Framingham cardiovascular risk score (FCVRS). We hypothesize that ReHo signal may be influenced by regional CBF; and that these associations can be summarized as FCVRS→CBF→ReHo. We used three independent samples to test this hypothesis. A test-retest sample of N = 30 healthy volunteers was used for test-retest evaluation of CBF effects on ReHo. Amish Connectome Project (ACP) sample (N = 204, healthy individuals) was used to evaluate association between FCVRS and ReHo and testing if the association diminishes given CBF. The UKBB sample (N = 6,285, healthy participants) was used to replicate the effects of FCVRS on ReHo. We observed strong CBF→ReHo links (p<2.5 × 10−3) using a three-point longitudinal sample. In ACP sample, marginal and partial correlations analyses demonstrated that both CBF and FCVRS were significantly correlated with the whole-brain average (p<10−6) and regional ReHo values, with the strongest correlations observed in frontal, parietal, and temporal areas. Yet, the association between ReHo and FCVRS became insignificant once the effect of CBF was accounted for. In contrast, CBF→ReHo remained significantly linked after adjusting for FCVRS and demographic covariates (p<10−6). Analysis in N = 6,285 replicated the FCVRS→ReHo effect (p = 2.7 × 10−27). In summary, ReHo alterations in health and neuropsychiatric illnesses may be partially driven by region-specific variability in CBF, which is, in turn, influenced by cardiovascular factors.
- Published
- 2022
6. Basic Concepts of Image Classification Algorithms Applied to Study Neurodegenerative Diseases
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Dukart, J., primary
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- 2015
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7. The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity
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Maillard, A M, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Männik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, J S, Reymond, A, Draganski, B, and Jacquemont, S
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- 2015
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8. Disentangling in vivo the effects of iron content and atrophy on the ageing human brain
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Lorio, S., Lutti, A., Kherif, F., Ruef, A., Dukart, J., Chowdhury, R., Frackowiak, R. S., Ashburner, J., Helms, G., Weiskopf, N., and Draganski, B.
- Published
- 2014
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9. Exploring reliability and effect sizes of digital biomarkers for Parkinson's disease in the mPower dataset
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Far, M. Sahandi, primary, Eickhoff, S., additional, Goñi, M., additional, and Dukart, J., additional
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- 2020
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10. JuTrack: an Android-based application for remote monitoring in neuropsychiatric diseases
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Far, M. Sahandi, primary, Stolz, M., additional, Fischer, J., additional, Eickhoff, S., additional, and Dukart, J., additional
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- 2020
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11. Identification of Parkinson's disease via smartphones
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Goñi, M., primary, Patil, K., additional, Eickhoff, S., additional, and Dukart, J., additional
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- 2020
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12. A miR-137-related biological pathway of risk for Schizophrenia is associated with human brain emotion processing
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Pergola, G., primary, Rampino, A., additional, Di Carlo, P., additional, Marakhovskaia, A., additional, Quarto, T., additional, Fazio, L., additional, Papalino, M., additional, Torretta, S., additional, Amoroso, N., additional, Castro, M. N., additional, Domenici, E., additional, Dukart, J., additional, Khlghatyan, J., additional, Monaco, A., additional, Popolizio, T., additional, Romano, R., additional, Sportelli, L., additional, Zunuer, H., additional, Blasi, G., additional, Beaulieu, J.M., additional, and Bertolino, A., additional
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- 2020
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13. Differential Effects of Global and Cerebellar Normalization on Dementia in FDG-PET Studies
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Dukart, J, Mueller, K, Horstmann, A, Vogt, B, Barthel, H, Becker, G, Frisch, S, Villringer, A, Sabri, O, and Schroeter, M L
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- 2009
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14. Social brain, social dysfunction and social withdrawal
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Porcelli, S., Wee, N.J.A. van der, Werff, S. van der, Aghajani, M., Glennon, J.C., Heukelum, S. van, Mogavero, F., Lobo, A., Olivera, F.J., Lobo, E., Posadas, M., Dukart, J., Kozak, R., Arce, E., Ikram, A., Vorstman, J., Bilderbeck, A., Saris, I., Kas, M.J., Serretti, A., Porcelli, S., Wee, N.J.A. van der, Werff, S. van der, Aghajani, M., Glennon, J.C., Heukelum, S. van, Mogavero, F., Lobo, A., Olivera, F.J., Lobo, E., Posadas, M., Dukart, J., Kozak, R., Arce, E., Ikram, A., Vorstman, J., Bilderbeck, A., Saris, I., Kas, M.J., and Serretti, A.
- Abstract
Contains fulltext : 204838.pdf (publisher's version ) (Open Access), The human social brain is complex. Current knowledge fails to define the neurobiological processes underlying social behaviour involving the (patho-) physiological mechanisms that link system-level phenomena to the multiple hierarchies of brain function. Unfortunately, such a high complexity may also be associated with a high susceptibility to several pathogenic interventions. Consistently, social deficits sometimes represent the first signs of a number of neuropsychiatric disorders including schizophrenia (SCZ), Alzheimer's disease (AD) and major depressive disorder (MDD) which leads to a progressive social dysfunction. In the present review we summarize present knowledge linking neurobiological substrates sustaining social functioning, social dysfunction and social withdrawal in major psychiatric disorders. Interestingly, AD, SCZ, and MDD affect the social brain in similar ways. Thus, social dysfunction and its most evident clinical expression (i.e., social withdrawal) may represent an innovative transdiagnostic domain, with the potential of being an independent entity in terms of biological roots, with the perspective of targeted interventions.
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- 2019
15. Identifizierung von Determinanten für zurückgelegte Wegzeiten und 'Bypassing' in der ambulanten Versorgung - ein Scoping Review
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Zander, N, Dukart, J, van den Berg, N, Augustin, J, Zander, N, Dukart, J, van den Berg, N, and Augustin, J
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- 2019
16. Barrieren der leitliniengerechten Versorgung von Psoriasis (Schuppenflechte) in Polen und Deutschland – Zwischenbericht der internationalen Studie 'PsoBarrier EU'
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Zander, N, Dukart, J, Radtke, M, Augustin, M, Czarnecka-Operacz, M, Reich, A, Szepietowski, J, and Langenbruch, A
- Subjects
ddc: 610 ,610 Medical sciences ,Medicine - Abstract
Hintergrund: Die deutsche Studienreihe “PsoHealth” hat in den letzten Jahren die Qualität der Versorgung der Schuppenflechte (Psoriasis) untersucht. Dabei fanden sich Hinweise darauf, dass ein bedeutender Anteil nicht gemäß der nationalen Leitlinie behandelt wird, was auch[zum vollständigen Text gelangen Sie über die oben angegebene URL], 17. Deutscher Kongress für Versorgungsforschung (DKVF)
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- 2018
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17. Study of corpus callosum cellular microstructure using diffusion microscopy MRI in subjects with autism spectrum disorders
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D'Albis, M.A., primary, Sarrazin, S., additional, Lebois, A., additional, Mangin, J.F., additional, Laidi, C., additional, Boisgontier, J., additional, Delorme, R., additional, Bolognani, F., additional, Holiga, S., additional, Dukart, J., additional, Bouquet, C., additional, Moal, M. Ly-Le, additional, Amestoy, A., additional, Scheid, I., additional, Gaman, A., additional, Leboyer, M., additional, Poupon, C., additional, and Houenou, J., additional
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- 2019
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18. Social brain, social dysfunction and social withdrawal
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Porcelli, S. (Stefano), Wee, N.J. (Nic) van der, van der Werff, S. (Steven), Aghajani, M. (Moji), Glennon, J.C. (Jeffrey C.), van Heukelum, S. (Sabrina), Mogavero, F. (Floriana), Lobo, A. (Antonio), Olivera, F.J. (Francisco Javier), Lobo, E. (Elena), Posadas, M. (Mar), Dukart, J. (Juergen), Kozak, R. (Rouba), Arce, E. (Estibaliz), Ikram, M.A. (Arfan), Vorstman, J.A.S., Bilderbeck, A. (Amy), Saris, I. (Ilja), Kas, M.J.H. (Martien), Serretti, A. (Alessandro), Porcelli, S. (Stefano), Wee, N.J. (Nic) van der, van der Werff, S. (Steven), Aghajani, M. (Moji), Glennon, J.C. (Jeffrey C.), van Heukelum, S. (Sabrina), Mogavero, F. (Floriana), Lobo, A. (Antonio), Olivera, F.J. (Francisco Javier), Lobo, E. (Elena), Posadas, M. (Mar), Dukart, J. (Juergen), Kozak, R. (Rouba), Arce, E. (Estibaliz), Ikram, M.A. (Arfan), Vorstman, J.A.S., Bilderbeck, A. (Amy), Saris, I. (Ilja), Kas, M.J.H. (Martien), and Serretti, A. (Alessandro)
- Abstract
The human social brain is complex. Current knowledge fails to define the neurobiological processes underlying social behaviour involving the (patho-) physiological mechanisms that link system-level phenomena to the multiple hierarchies of brain function. Unfortunately, such a high complexity may also be associated with a high susceptibility to several pathogenic interventions. Consistently, social deficits sometimes represent the first signs of a number of neuropsychiatric disorders including schizophrenia (SCZ), Alzheimer's disease (AD) and major depressive disorder (MDD) which leads to a progressive social dysfunction. In the present review we summarize present knowledge linking neurobiological substrates sustaining social functioning, social dysfunction and social withdrawal in major psychiatric disorders. Interestingly, AD, SCZ, and MDD affect the social brain in similar ways. Thus, social dysfunction and its most evident clinical expression (i.e., social withdrawal) may represent an innovative transdiagnostic domain, with the potential of being an independent entity in terms of biological roots, with the perspective of targeted interventions.
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- 2018
- Full Text
- View/download PDF
19. DMD CLINICAL THERAPIES I
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Wagner, K., primary, Wong, B., additional, Byrne, B., additional, Sweeney, H., additional, Jacobsen, L., additional, Tirucherai, G., additional, Rabbia, M., additional, Dukart, J., additional, Kletz, H., additional, Krishnan, M., additional, and Bechtold, C., additional
- Published
- 2018
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20. Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study
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Kloeppel, S, Peter, J, Ludl, A, Pilatus, A, Maier, S, Mader, I, Heimbach, B, Frings, L, Egger, K, Dukart, J, Schroeter, ML, Perneczky, R, Haeussermann, P, Vach, W, Urbach, H, Teipel, S, Huell, M, Abdulkadir, A, and Initi, ADN
- Subjects
Lewy Body Disease ,Male ,Aging ,Support Vector Machine ,Clinical Sciences ,Imaging ,Dementia diagnostics ,Alzheimer Disease ,mental disorders ,Diagnosis ,Humans ,magnetic resonance imaging ,Prospective Studies ,Aged ,Neurology & Neurosurgery ,Neurosciences ,Brain ,Alzheimer’s Disease Neuroimaging Initiative ,Middle Aged ,White Matter ,machine learning ,Frontotemporal Dementia ,Differential ,Three-Dimensional ,Disease Progression ,Linear Models ,Female ,Cognitive Sciences ,prognosis ,Follow-Up Studies - Abstract
Several studies have demonstrated that fully automated pattern recognition methods applied to structural magnetic resonance imaging (MRI) aid in the diagnosis of dementia, but these conclusions are based on highly preselected samples that significantly differ from that seen in a dementia clinic. At a single dementia clinic, we evaluated the ability of a linear support vector machine trained with completely unrelated data to differentiate between Alzheimer's disease (AD), frontotemporal dementia (FTD), Lewy body dementia, and healthy aging based on 3D-T1 weighted MRI data sets. Furthermore, we predicted progression to AD in subjects with mild cognitive impairment (MCI) at baseline and automatically quantified white matter hyperintensities from FLAIR-images. Separating additionally recruited healthy elderly from those with dementia was accurate with an area under the curve (AUC) of 0.97 (according to Fig. 4). Multi-class separation of patients with either AD or FTD from other included groups was good on the training set (AUC > 0.9) but substantially less accurate (AUC = 0.76 for AD, AUC = 0.78 for FTD) on 134 cases from the local clinic. Longitudinal data from 28 cases with MCI at baseline and appropriate follow-up data were available. The computer tool discriminated progressive from stable MCI with AUC = 0.73, compared to AUC = 0.80 for the training set. A relatively low accuracy by clinicians (AUC = 0.81) illustrates the difficulties of predicting conversion in this heterogeneous cohort. This first application of a MRI-based pattern recognition method to a routine sample demonstrates feasibility, but also illustrates that automated multi-class differential diagnoses have to be the focus of future methodological developments and application studies.
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- 2015
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21. Brain tissue properties differentiate between motor and limbic basal ganglia circuits
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Accolla, E.A., Dukart, J., Helms, G., Weiskopf, N., Kherif, F., Lutti, A., Chowdhury, R., Hetzer, S., Haynes, J.D., Kühn, A.A., and Draganski, B.
- Subjects
Adult ,Male ,Brain Mapping ,diffusion-weighted imaging ,R2 ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,Basal Ganglia ,Functional Laterality ,Diffusion Tensor Imaging ,Imaging, Three-Dimensional ,voxel-based quantification ,nervous system ,Subthalamic Nucleus ,MT ,Neural Pathways ,Humans ,Female ,Research Articles ,multiparameter mapping ,Aged ,Probability - Abstract
Despite advances in understanding basic organizational principles of the human basal ganglia accurate in vivo assessment of their anatomical properties is essential to improve early diagnosis in disorders with corticosubcortical pathology and optimize target planning in deep brain stimulation. Main goal of this study was the detailed topological characterization of limbic associative and motor subdivisions of the subthalamic nucleus (STN) in relation to corresponding corticosubcortical circuits. To this aim we used magnetic resonance imaging and investigated independently anatomical connectivity via white matter tracts next to brain tissue properties. On the basis of probabilistic diffusion tractography we identified STN subregions with predominantly motor associative and limbic connectivity. We then computed for each of the nonoverlapping STN subregions the covariance between local brain tissue properties and the rest of the brain using high resolution maps of magnetization transfer (MT) saturation and longitudinal (R1) and transverse relaxation rate (R2). The demonstrated spatial distribution pattern of covariance between brain tissue properties linked to myelin (R1 and MT) and iron (R2) content clearly segregates between motor and limbic basal ganglia circuits. We interpret the demonstrated covariance pattern as evidence for shared tissue properties within a functional circuit which is closely linked to its function. Our findings open new possibilities for investigation of changes in the established covariance pattern aiming at accurate diagnosis of basal ganglia disorders and prediction of treatment outcome. Hum Brain Mapp 2014. © 2014 Wiley Periodicals Inc.
- Published
- 2014
22. ID 286 – Auditory oddball event-related potentials cortical sources are related to cerebrospinal fluid (CSF)® amyloid (A®) level in amnesic MCI subjects
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Cordone, S., primary, Del Percio, C., additional, Marzano, N., additional, Noce, G., additional, Bagnoli, C., additional, Rossini, P.M., additional, Soricelli, A., additional, Famá, F., additional, Bartres Faz, D., additional, Blin, O., additional, Payoux, P., additional, Bordet, R., additional, Müller, B.W., additional, Tsolaki, M., additional, Parnetti, L., additional, Hegerl, U., additional, Hensch, T., additional, Dukart, J., additional, Bertolino, A., additional, Forloni, G., additional, Richardson, J.C., additional, Frisoni, G., additional, and Babiloni, C., additional
- Published
- 2016
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23. Cortical generation of on-going “Delta” and “Alpha” EEG rhythms in mouse models of Alzheimer’s disease and Alzheimer’s disease patients at prodromic stages
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Babiloni, C., primary, Del Percio, C., additional, Marzano, N., additional, Cordone, S., additional, Noce, G., additional, Bagnoli, C., additional, Rossini, P. Maria, additional, Soricelli, A., additional, Nobili, F. Mariano, additional, Faz, D. Bartres, additional, Blin, O., additional, Payoux, P., additional, Bordet, R., additional, Mueller, B., additional, Tsolaki, M., additional, Parnetti, L., additional, Hegerl, U., additional, Hensch, T., additional, Dukart, J., additional, Bertolino, A., additional, Forloni, G., additional, Frasca, A., additional, Richardson, J., additional, Bastlund, J. Frank, additional, Clausen, B., additional, Bentivoglio, M., additional, Fabene, P.F., additional, Bertini, G., additional, Dix, S., additional, Kelley, J., additional, Drinkenburg, W., additional, and Frisoni, G., additional
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- 2016
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24. The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity
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Maillard, AM, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Maennik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, JS, Reymond, A, Draganski, B, Jacquemont, S, Maillard, AM, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Maennik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, JS, Reymond, A, Draganski, B, and Jacquemont, S
- Abstract
Anatomical structures and mechanisms linking genes to neuropsychiatric disorders are not deciphered. Reciprocal copy number variants at the 16p11.2 BP4-BP5 locus offer a unique opportunity to study the intermediate phenotypes in carriers at high risk for autism spectrum disorder (ASD) or schizophrenia (SZ). We investigated the variation in brain anatomy in 16p11.2 deletion and duplication carriers. Beyond gene dosage effects on global brain metrics, we show that the number of genomic copies negatively correlated to the gray matter volume and white matter tissue properties in cortico-subcortical regions implicated in reward, language and social cognition. Despite the near absence of ASD or SZ diagnoses in our 16p11.2 cohort, the pattern of brain anatomy changes in carriers spatially overlaps with the well-established structural abnormalities in ASD and SZ. Using measures of peripheral mRNA levels, we confirm our genomic copy number findings. This combined molecular, neuroimaging and clinical approach, applied to larger datasets, will help interpret the relative contributions of genes to neuropsychiatric conditions by measuring their effect on local brain anatomy.
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- 2015
25. P186: Brain tissue properties differentiate among motor and limbic basal ganglia circuits
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Accolla, E., primary, Dukart, J., additional, Helms, G., additional, Weiskopf, N., additional, Kherif, F., additional, Lutti, A., additional, Haynes, J.-D., additional, Kuehn, A., additional, and Draganski, B., additional
- Published
- 2014
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26. Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.
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Alzheimer's Disease Neuroimaging Initiative, Weiner, M., Aisen, P., Petersen, R., Jack CR.<Suffix>Jr</Suffix>, Jagust, W., Trojanowki, JQ., Toga, AW., Beckett, L., Green, RC., Saykin, AJ., Morris, J., Liu, E., Montine, T., Gamst, A., Thomas, RG., Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., DeCarli, C., Bandy, D., Koeppe, RA., Foster, N., Reiman, EM., Chen, K., Mathis, C., Cairns, NJ., Taylor-Reinwald, L., Shaw, L., Lee, VM., Korecka, M., Crawford, K., Neu, S., Foroud, TM., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, PJ., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, LS., Pawluczyk, S., Spann, BM., Brewer, J., Vanderswag, H., Heidebrink, JL., Lord, JL., Johnson, K., Doody, RS., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, LS., Bell, KL., Morris, JC., Ances, B., Carroll, M., Leon, S., Mintun, MA., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., deToledo-Morrell, L., Shah, RC., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., de Leon MJ., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, JR., Coleman, R., Arnold, SE., Karlawish, JH., Wolk, D., Smith, CD., Jicha, G., Hardy, P., Lopez, OL., Oakley, M., Simpson, DM., Porsteinsson, AP., Goldstein, BS., Martin, K., Makino, KM., Ismail, M., Brand, C., Mulnard, RA., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Martin-Cook, K., DeVous, M., Levey, AI., Lah, JJ., Cellar, JS., Burns, JM., Anderson, HS., Swerdlow, RH., Apostolova, L., Lu, PH., Bartzokis, G., Silverman, DH., Graff-Radford, NR., Parfitt, F., Johnson, H., Farlow, MR., Hake, AM., Matthews, BR., Herring, S., van Dyck CH., Carson, RE., MacAvoy, MG., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, GY., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Kerwin, D., Mesulam, MM., Lipowski, K., Wu, CK., Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, RS., Reynolds, B., Sperling, RA., Johnson, KA., Marshall, G., Frey, M., Yesavage, J., Taylor, JL., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Kowall, N., Killiany, R., Budson, AE., Norbash, A., Johnson, PL., Obisesan, TO., Wolday, S., Bwayo, SK., Lerner, A., Hudson, L., Ogrocki, P., Fletcher, E., Carmichael, O., Olichney, J., Kittur, S., Borrie, M., Lee, TY., Bartha, R., Johnson, S., Asthana, S., Carlsson, CM., Potkin, SG., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, DW., Kataki, M., Zimmerman, EA., Celmins, D., Brown, AD., Pearlson, GD., Blank, K., Anderson, K., Santulli, RB., Schwartz, ES., Sink, KM., Williamson, JD., Garg, P., Watkins, F., Ott, BR., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, HJ., Miller, BL., Mintzer, J., Longmire, CF., Spicer, K., Finger, E., Rachinsky, I., Drost, D., Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M.L., Frackowiak, R.S., Draganski, B., Alzheimer's Disease Neuroimaging Initiative, Weiner, M., Aisen, P., Petersen, R., Jack CR.<Suffix>Jr</Suffix>, Jagust, W., Trojanowki, JQ., Toga, AW., Beckett, L., Green, RC., Saykin, AJ., Morris, J., Liu, E., Montine, T., Gamst, A., Thomas, RG., Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., DeCarli, C., Bandy, D., Koeppe, RA., Foster, N., Reiman, EM., Chen, K., Mathis, C., Cairns, NJ., Taylor-Reinwald, L., Shaw, L., Lee, VM., Korecka, M., Crawford, K., Neu, S., Foroud, TM., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, PJ., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, LS., Pawluczyk, S., Spann, BM., Brewer, J., Vanderswag, H., Heidebrink, JL., Lord, JL., Johnson, K., Doody, RS., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, LS., Bell, KL., Morris, JC., Ances, B., Carroll, M., Leon, S., Mintun, MA., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., deToledo-Morrell, L., Shah, RC., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., de Leon MJ., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, JR., Coleman, R., Arnold, SE., Karlawish, JH., Wolk, D., Smith, CD., Jicha, G., Hardy, P., Lopez, OL., Oakley, M., Simpson, DM., Porsteinsson, AP., Goldstein, BS., Martin, K., Makino, KM., Ismail, M., Brand, C., Mulnard, RA., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Martin-Cook, K., DeVous, M., Levey, AI., Lah, JJ., Cellar, JS., Burns, JM., Anderson, HS., Swerdlow, RH., Apostolova, L., Lu, PH., Bartzokis, G., Silverman, DH., Graff-Radford, NR., Parfitt, F., Johnson, H., Farlow, MR., Hake, AM., Matthews, BR., Herring, S., van Dyck CH., Carson, RE., MacAvoy, MG., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, GY., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Kerwin, D., Mesulam, MM., Lipowski, K., Wu, CK., Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, RS., Reynolds, B., Sperling, RA., Johnson, KA., Marshall, G., Frey, M., Yesavage, J., Taylor, JL., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Kowall, N., Killiany, R., Budson, AE., Norbash, A., Johnson, PL., Obisesan, TO., Wolday, S., Bwayo, SK., Lerner, A., Hudson, L., Ogrocki, P., Fletcher, E., Carmichael, O., Olichney, J., Kittur, S., Borrie, M., Lee, TY., Bartha, R., Johnson, S., Asthana, S., Carlsson, CM., Potkin, SG., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, DW., Kataki, M., Zimmerman, EA., Celmins, D., Brown, AD., Pearlson, GD., Blank, K., Anderson, K., Santulli, RB., Schwartz, ES., Sink, KM., Williamson, JD., Garg, P., Watkins, F., Ott, BR., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, HJ., Miller, BL., Mintzer, J., Longmire, CF., Spicer, K., Finger, E., Rachinsky, I., Drost, D., Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M.L., Frackowiak, R.S., and Draganski, B.
- Abstract
The failure of current strategies to provide an explanation for controversial findings on the pattern of pathophysiological changes in Alzheimer's Disease (AD) motivates the necessity to develop new integrative approaches based on multi-modal neuroimaging data that captures various aspects of disease pathology. Previous studies using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (sMRI) report controversial results about time-line, spatial extent and magnitude of glucose hypometabolism and atrophy in AD that depend on clinical and demographic characteristics of the studied populations. Here, we provide and validate at a group level a generative anatomical model of glucose hypo-metabolism and atrophy progression in AD based on FDG-PET and sMRI data of 80 patients and 79 healthy controls to describe expected age and symptom severity related changes in AD relative to a baseline provided by healthy aging. We demonstrate a high level of anatomical accuracy for both modalities yielding strongly age- and symptom-severity- dependant glucose hypometabolism in temporal, parietal and precuneal regions and a more extensive network of atrophy in hippocampal, temporal, parietal, occipital and posterior caudate regions. The model suggests greater and more consistent changes in FDG-PET compared to sMRI at earlier and the inversion of this pattern at more advanced AD stages. Our model describes, integrates and predicts characteristic patterns of AD related pathology, uncontaminated by normal age effects, derived from multi-modal data. It further provides an integrative explanation for findings suggesting a dissociation between early- and late-onset AD. The generative model offers a basis for further development of individualized biomarkers allowing accurate early diagnosis and treatment evaluation.
- Published
- 2013
27. Progressive Cortical Degeneration in Parkinson's Disease (P01.214)
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Benninger, D., primary, Dukart, J., additional, Von Meyenburg, J., additional, Thees, S., additional, Bassetti, C., additional, Waldvogel, D., additional, Kollias, S., additional, Iseki, K., additional, and Draganski, B., additional
- Published
- 2012
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28. Guidelines make web sites more accessible
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Dukart, James R.
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INTERNET - Published
- 1999
29. Trade Commission examines Internet's privacy policies
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Dukart, James R.
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INTERNET - Abstract
por
- Published
- 1998
30. Social brain, social dysfunction and social withdrawal
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Estibaliz Arce, Jacob A. S. Vorstman, Ilja M.J. Saris, Martien J H Kas, Floriana Mogavero, Jeffrey C. Glennon, Sabrina van Heukelum, Mar Posadas, Francisco Javier Olivera, Nic J.A. van der Wee, Moji Aghajani, Amy C. Bilderbeck, Antonio Lobo, Rouba Kozak, Alessandro Serretti, Arfan Ikram, Elena Lobo, Juergen Dukart, Stefano Porcelli, Steven J.A. van der Werff, Porcelli S., Van Der Wee N., van der Werff S., Aghajani M., Glennon J.C., van Heukelum S., Mogavero F., Lobo A., Olivera F.J., Lobo E., Posadas M., Dukart J., Kozak R., Arce E., Ikram A., Vorstman J., Bilderbeck A., Saris I., Kas M.J., and Serretti A.
- Subjects
Interpersonal Relation ,Theory of Mind ,Disease ,Social impairment ,Behavioral Neuroscience ,0302 clinical medicine ,Neurobiology ,Theory of mind ,Neural Pathways ,Social functioning ,Social isolation ,Social impairments ,Social perception ,Mental Disorders ,05 social sciences ,Brain ,Alzheimer's disease ,Social cognition ,Neuropsychology and Physiological Psychology ,Social Isolation ,Social Perception ,Schizophrenia ,Mental Disorder ,Major depressive disorder ,Social dysfunction ,Schizophrenic Psychology ,medicine.symptom ,Psychology ,Alzheimer’s disease ,Human ,Cognitive Neuroscience ,Major depression disorder ,Neural Pathway ,03 medical and health sciences ,Alzheimer Disease ,medicine ,Humans ,0501 psychology and cognitive sciences ,Interpersonal Relations ,Social brain ,050102 behavioral science & comparative psychology ,Social withdrawal ,Depressive Disorder, Major ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,medicine.disease ,Affect ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Contains fulltext : 204838.pdf (Publisher’s version ) (Open Access) The human social brain is complex. Current knowledge fails to define the neurobiological processes underlying social behaviour involving the (patho-) physiological mechanisms that link system-level phenomena to the multiple hierarchies of brain function. Unfortunately, such a high complexity may also be associated with a high susceptibility to several pathogenic interventions. Consistently, social deficits sometimes represent the first signs of a number of neuropsychiatric disorders including schizophrenia (SCZ), Alzheimer's disease (AD) and major depressive disorder (MDD) which leads to a progressive social dysfunction. In the present review we summarize present knowledge linking neurobiological substrates sustaining social functioning, social dysfunction and social withdrawal in major psychiatric disorders. Interestingly, AD, SCZ, and MDD affect the social brain in similar ways. Thus, social dysfunction and its most evident clinical expression (i.e., social withdrawal) may represent an innovative transdiagnostic domain, with the potential of being an independent entity in terms of biological roots, with the perspective of targeted interventions.
- Published
- 2019
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31. Relating constructs of attention and working memory to social withdrawal in Alzheimer's disease and schizophrenia: issues regarding paradigm selection
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Gerard R. Dawson, Stefano Porcelli, Valerie Bertaina-Anglade, Jeffrey C. Glennon, Estibaliz Arce, Emilio Merlo Pich, Hugh Marston, Rouba Kozak, Alessandro Serretti, Brian T. Harel, Juergen Dukart, Antonio Lobo, Darrel J. Pemberton, Raúl López-Antón, Gary Gilmour, Martha N. Havenith, Anja Hayen, Gilmour G., Porcelli S., Bertaina-Anglade V., Arce E., Dukart J., Hayen A., Lobo A., Lopez-Anton R., Merlo Pich E., Pemberton D.J., Havenith M.N., Glennon J.C., Harel B.T., Dawson G., Marston H., Kozak R., and Serretti A.
- Subjects
Research design ,PRISM ,social withdrawal ,Interpersonal Relation ,translation ,Disease ,Neuropsychological Tests ,Alzheimer's Disease ,Spatial memory ,Behavioral Neuroscience ,0302 clinical medicine ,IMI ,Attention ,Social isolation ,Brain Mapping ,05 social sciences ,Neuropsychology ,Brain ,Electroencephalography ,Magnetic Resonance Imaging ,Memory, Short-Term ,Neuropsychology and Physiological Psychology ,Social Isolation ,Research Design ,Neuropsychological Test ,Schizophrenic Psychology ,Alzheimer's disease ,medicine.symptom ,Psychology ,Human ,Cognitive psychology ,Neuroinformatics ,Cognitive Neuroscience ,working memory ,03 medical and health sciences ,Interpersonal relationship ,All institutes and research themes of the Radboud University Medical Center ,Alzheimer Disease ,medicine ,Animals ,Humans ,Interpersonal Relations ,0501 psychology and cognitive sciences ,050102 behavioral science & comparative psychology ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Animal ,Working memory ,medicine.disease ,schizophrenia ,Disease Models, Animal ,030217 neurology & neurosurgery - Abstract
Central nervous system diseases are not currently diagnosed based on knowledge of biological mechanisms underlying their symptoms. Greater understanding may be offered through an agnostic approach to traditional disease categories, where learning more about shared biological mechanisms across conditions could potentially reclassify sub-groups of patients to allow realisation of more effective treatments. This review represents the output of the collaborative group “PRISM”, tasked with considering assay choices for assessment of attention and working memory in a transdiagnostic cohort of Alzheimer''s disease and schizophrenia patients exhibiting symptomatic spectra of social withdrawal. A multidimensional analysis of this nature has not been previously attempted. Nominated assays (continuous performance test III, attention network test, digit symbol substitution, N-back, complex span, spatial navigation in a virtual environment) reflected a necessary compromise between the need for broad assessment of the neuropsychological constructs in question with several pragmatic criteria: patient burden, compatibility with neurophysiologic measures and availability of preclinical homologues.
- Published
- 2019
32. Moving towards precision psychiatry: the hard nut of depression.
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Dukart J, Lotter LD, and Eickhoff SB
- Published
- 2024
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33. Temporal dissociation between local and global functional adaptations of the maternal brain to childbirth: a longitudinal assessment.
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Lotter LD, Nehls S, Losse E, Dukart J, and Chechko N
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- Humans, Female, Adult, Longitudinal Studies, Parturition psychology, Parturition physiology, Young Adult, Pregnancy, Time Factors, Progesterone blood, Magnetic Resonance Imaging, Brain diagnostic imaging, Brain metabolism, Postpartum Period psychology, Postpartum Period physiology, Adaptation, Physiological physiology
- Abstract
The maternal brain undergoes significant reorganization during birth and the postpartum period. However, the temporal dynamics of these changes remain unclear. Using resting-state functional magnetic resonance imaging, we report on local and global brain function alterations in 75 mothers in their first postpartum week, compared to 23 nulliparous women. In a subsample followed longitudinally for the next six months, we observed a temporal and spatial dissociation between changes observed at baseline (cluster mass permutation: pFWE < 0.05). Local activity and connectivity changes in widespread neocortical regions persisted throughout the studied time period (ANCOVAs vs. controls: pFDR < 0.05), with preliminary evidence linking these alterations to behavioral and psychological adaptations (interaction effect with postpartum time: uncorrected p < 0.05). In contrast, the initially reduced whole-brain connectivity of putamen-centered subcortical areas returned to control levels within six to nine weeks postpartum (linear and quadratic mixed linear models: pFDR < 0.05). The whole-brain spatial colocalization with hormone receptor distributions (Spearman correlations: pFDR < 0.05) and preliminary blood hormone associations (interaction effect with postpartum time: uncorrected p < 0.05) suggested that the postpartum restoration of progesterone levels may underlie this rapid normalization. These observations enhance our understanding of healthy maternal brain function, contributing to the identification of potential markers for pathological postpartum adaptation processes, which in turn could underlie postpartum psychiatric disorders., (© 2024. The Author(s).)
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- 2024
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34. Local activity alterations in autism spectrum disorder correlate with neurotransmitter properties and ketamine induced brain changes.
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Grumbach P, Kasper J, Hipp JF, Forsyth A, Valk SL, Muthukumaraswamy S, Eickhoff SB, Schilbach L, and Dukart J
- Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition associated with altered resting-state brain function. An increased excitation-inhibition (E/I) ratio is discussed as a potential pathomechanism but in-vivo evidence of disturbed neurotransmission underlying these functional alterations remains scarce. We compared rs-fMRI local activity (LCOR) between ASD (N=405, N=395) and neurotypical controls (N=473, N=474) in two independent cohorts (ABIDE1 and ABIDE2). We then tested how these LCOR alterations co-localize with specific neurotransmitter systems derived from nuclear imaging and compared them with E/I changes induced by GABAergic (midazolam) and glutamatergic medication (ketamine). Across both cohorts, ASD subjects consistently exhibited reduced LCOR, particularly in higher-order default mode network nodes, alongside increases in bilateral temporal regions, the cerebellum, and brainstem. These LCOR alterations negatively co-localized with dopaminergic (D1, D2, DAT), glutamatergic (NMDA, mGluR5), GABAergic (GABAa) and cholinergic neurotransmission (VAChT). The NMDA-antagonist ketamine, but not GABAa-potentiator midazolam, induced LCOR changes which co-localize with D1, NMDA and GABAa receptors, thereby resembling alterations observed in ASD. We find consistent local activity alterations in ASD to be spatially associated with several major neurotransmitter systems. NMDA-antagonist ketamine induced neurochemical changes similar to ASD-related alterations, supporting the notion that pharmacological modulation of the E/I balance in healthy individuals can induce ASD-like functional brain changes. These findings provide novel insights into neurophysiological mechanisms underlying ASD., Competing Interests: JFH is a current and JD is a former employee of F. Hoffmann–La Roche Ltd. and received support in the form of salaries.
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- 2024
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35. Resting-State Changes in Aging and Parkinson's Disease Are Shaped by Underlying Neurotransmission: A Normative Modeling Study.
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Kasper J, Caspers S, Lotter LD, Hoffstaedter F, Eickhoff SB, and Dukart J
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- Humans, Aged, Male, Female, Middle Aged, Magnetic Resonance Imaging, Adult, Aged, 80 and over, Rest physiology, Parkinson Disease physiopathology, Parkinson Disease metabolism, Aging physiology, Synaptic Transmission physiology, Brain physiopathology
- Abstract
Background: Human healthy and pathological aging is linked to a steady decline in brain resting-state activity and connectivity measures. The neurophysiological mechanisms that underlie these changes remain poorly understood., Methods: Making use of recent developments in normative modeling and availability of in vivo maps for various neurochemical systems, we tested in the UK Biobank cohort (n = 25,917) whether and how age- and Parkinson's disease-related resting-state changes in commonly applied local and global activity and connectivity measures colocalize with underlying neurotransmitter systems., Results: We found that the distributions of several major neurotransmitter systems including serotonergic, dopaminergic, noradrenergic, and glutamatergic neurotransmission correlated with age-related changes across functional activity and connectivity measures. Colocalization patterns in Parkinson's disease deviated from normative aging trajectories for these, as well as for cholinergic and GABAergic (gamma-aminobutyric acidergic) neurotransmission. The deviation from normal colocalization of brain function and GABA
A correlated with disease duration., Conclusions: These findings provide new insights into molecular mechanisms underlying age- and Parkinson's-related brain functional changes by extending the existing evidence elucidating the vulnerability of specific neurochemical attributes to normal aging and Parkinson's disease. The results particularly indicate that alongside dopamine and serotonin, increased vulnerability of glutamatergic, cholinergic, and GABAergic systems may also contribute to Parkinson's disease-related functional alterations. Combining normative modeling and neurotransmitter mapping may aid future research and drug development through deeper understanding of neurophysiological mechanisms that underlie specific clinical conditions., (Copyright © 2024 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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36. Regional patterns of human cortex development correlate with underlying neurobiology.
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Lotter LD, Saberi A, Hansen JY, Misic B, Paquola C, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillère ML, Artiges E, Papadopoulos Orfanos D, Paus T, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Nees F, Banaschewski T, Eickhoff SB, and Dukart J
- Subjects
- Humans, Adolescent, Female, Adult, Male, Child, Young Adult, Aging physiology, Middle Aged, Magnetic Resonance Imaging, Child, Preschool, Aged, Neurobiology, Neurons metabolism, Neuroimaging, Cerebral Cortex growth & development, Cerebral Cortex metabolism, Cerebral Cortex diagnostic imaging
- Abstract
Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness development and aging trajectories unfold along patterns of molecular and cellular brain organization, traceable from population-level to individual developmental trajectories. During childhood and adolescence, cortex-wide spatial distributions of dopaminergic receptors, inhibitory neurons, glial cell populations, and brain-metabolic features explain up to 50% of the variance associated with a lifespan model of regional cortical thickness trajectories. In contrast, modeled cortical thickness change patterns during adulthood are best explained by cholinergic and glutamatergic neurotransmitter receptor and transporter distributions. These relationships are supported by developmental gene expression trajectories and translate to individual longitudinal data from over 8000 adolescents, explaining up to 59% of developmental change at cohort- and 18% at single-subject level. Integrating neurobiological brain atlases with normative modeling and population neuroimaging provides a biologically meaningful path to understand brain development and aging in living humans., (© 2024. The Author(s).)
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- 2024
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37. Sensor-Based Gait and Balance Assessment in Healthy Adults: Analysis of Short-Term Training and Sensor Placement Effects.
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Rentz C, Kaiser V, Jung N, Turlach BA, Sahandi Far M, Peterburs J, Boltes M, Schnitzler A, Amunts K, Dukart J, and Minnerop M
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- Humans, Male, Adult, Female, Young Adult, Healthy Volunteers, Postural Balance physiology, Gait physiology, Smartphone, Wearable Electronic Devices
- Abstract
While the analysis of gait and balance can be an important indicator of age- or disease-related changes, it remains unclear if repeated performance of gait and balance tests in healthy adults leads to habituation effects, if short-term gait and balance training can improve gait and balance performance, and whether the placement of wearable sensors influences the measurement accuracy. Healthy adults were assessed before and after performing weekly gait and balance tests over three weeks by using a force plate, motion capturing system and smartphone. The intervention group (n = 25) additionally received a home-based gait and balance training plan. Another sample of healthy adults (n = 32) was assessed once to analyze the impact of sensor placement (lower back vs. lower abdomen) on gait and balance analysis. Both the control and intervention group exhibited improvements in gait/stance. However, the trends over time were similar for both groups, suggesting that targeted training and repeated task performance equally contributed to the improvement of the measured variables. Since no significant differences were found in sensor placement, we suggest that a smartphone used as a wearable sensor could be worn both on the lower abdomen and the lower back in gait and balance analyses.
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- 2024
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38. [Prediction and timely identification of postpartum depression: results of the longitudinal RiPoD study in the context of the literature].
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Nehls S, Dukart J, Enzensberger C, Stickeler E, Eickhoff SB, and Chechko N
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The first 4-6 weeks after childbirth are defined as the onset time for postpartum depression (PPD). Despite this known time frame there are significant gaps in the identification and treatment of PPD. The risk for postpartum depression (RiPoD) study investigated specific risk factors and predictors of postpartum psychological adjustment processes and the results are presented within the framework of a state of the art review of research. The dynamic neuroplastic changes in the maternal brain during pregnancy and the postpartum period appear to be closely linked to peripartum hormone fluctuations, which jointly influence the development of postpartum mood disorders. Hormonal risk factors such as baby blues and premenstrual syndrome have been found to have a bearing on PPD. The combination of these two factors predicts the risk of PPD with 83% sensitivity within the first week postpartum. Follow-up digital monitoring of symptom development in the first 6 weeks postpartum has enabled an accurate identification of women with PPD. Understanding the interaction between hormone fluctuations, neuroplasticity and psychiatric disorders should be an important target for future research. Early identification and diagnosis of PPD can be easily integrated into the clinical routine and everyday life., (© 2024. The Author(s).)
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- 2024
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39. RAISN: Robot-assisted Indocyanine Green-guided Sentinel Node Biopsy in Clinical Stage I Germ Cell Tumor.
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Vermeulen-Spohn MS, Pongratanakul P, Thy S, Dukart J, Albers P, and Che Y
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Robot-assisted imaging-guided sentinel lymph node biopsy is a novel technique that has not been widely investigated in testicular germ cell tumor (GCT). Current staging strategies have poor accuracy for prediction of occult metastatic disease in clinical stage I GCT. Feasibility studies have used
99m Tc-nanocolloid staining during laparoscopic procedures. The RAISN trial is investigating robot-assisted lymph node resection guided by indocyanine green fluorescence imaging. This new diagnostic approach is potentially more precise and easier to apply, and is widely available. Confirmation of its utility could change the management of newly diagnosed GCT by reducing overtreatment and treatment-related toxicity., (© 2024 The Author(s).)- Published
- 2024
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40. Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes.
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Omidvarnia A, Sasse L, Larabi DI, Raimondo F, Hoffstaedter F, Kasper J, Dukart J, Petersen M, Cheng B, Thomalla G, Eickhoff SB, and Patil KR
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- Humans, Male, Female, Middle Aged, Adult, Aged, Behavior, Rest physiology, Brain Mapping methods, Magnetic Resonance Imaging methods, Brain diagnostic imaging, Brain physiology, Phenotype, Machine Learning
- Abstract
In this study, we aimed to compare imaging-based features of brain function, measured by resting-state fMRI (rsfMRI), with individual characteristics such as age, gender, and total intracranial volume to predict behavioral measures. We developed a machine learning framework based on rsfMRI features in a dataset of 20,000 healthy individuals from the UK Biobank, focusing on temporal complexity and functional connectivity measures. Our analysis across four behavioral phenotypes revealed that both temporal complexity and functional connectivity measures provide comparable predictive performance. However, individual characteristics consistently outperformed rsfMRI features in predictive accuracy, particularly in analyses involving smaller sample sizes. Integrating rsfMRI features with demographic data sometimes enhanced predictive outcomes. The efficacy of different predictive modeling techniques and the choice of brain parcellation atlas were also examined, showing no significant influence on the results. To summarize, while individual characteristics are superior to rsfMRI in predicting behavioral phenotypes, rsfMRI still conveys additional predictive value in the context of machine learning, such as investigating the role of specific brain regions in behavioral phenotypes., (© 2024. The Author(s).)
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- 2024
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41. Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling.
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Saberi A, Wischnewski KJ, Jung K, Lotter LD, Schaare HL, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Poustka L, Hohmann S, Holz N, Baeuchl C, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Paus T, Dukart J, Bernhardt BC, Popovych OV, Eickhoff SB, and Valk SL
- Abstract
The balance of excitation and inhibition is a key functional property of cortical microcircuits which changes through the lifespan. Adolescence is considered a crucial period for the maturation of excitation-inhibition balance. This has been primarily observed in animal studies, yet human in vivo evidence on adolescent maturation of the excitation-inhibition balance at the individual level is limited. Here, we developed an individualized in vivo marker of regional excitation-inhibition balance in human adolescents, estimated using large-scale simulations of biophysical network models fitted to resting-state functional magnetic resonance imaging data from two independent cross-sectional (N = 752) and longitudinal (N = 149) cohorts. We found a widespread relative increase of inhibition in association cortices paralleled by a relative age-related increase of excitation, or lack of change, in sensorimotor areas across both datasets. This developmental pattern co-aligned with multiscale markers of sensorimotor-association differentiation. The spatial pattern of excitation-inhibition development in adolescence was robust to inter-individual variability of structural connectomes and modeling configurations. Notably, we found that alternative simulation-based markers of excitation-inhibition balance show a variable sensitivity to maturational change. Taken together, our study highlights an increase of inhibition during adolescence in association areas using cross sectional and longitudinal data, and provides a robust computational framework to estimate microcircuit maturation in vivo at the individual level., Competing Interests: Disclosures Dr Banaschewski served in an advisory or consultancy role for eye level, Infectopharm, Medice, Neurim Pharmaceuticals, Oberberg GmbH and Takeda. He received conference support or speaker’s fee by Janssen, Medice and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press. The present work is unrelated to the above grants and relationships. Dr Barker has received honoraria from General Electric Healthcare for teaching on scanner programming courses. Dr Poustka served in an advisory or consultancy role for Roche and Viforpharm and received speaker’s fees from Shire. She received royalties from Hogrefe, Kohlhammer and Schattauer. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest.
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- 2024
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42. Association of Fetal Catecholamines With Neonatal Hypoglycemia.
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Hoermann H, van Faassen M, Roeper M, Hagenbeck C, Herebian D, Muller Kobold AC, Dukart J, Kema IP, Mayatepek E, Meissner T, and Kummer S
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- Humans, Infant, Newborn, Female, Male, Prospective Studies, Fetal Blood metabolism, Fetal Blood chemistry, Risk Factors, Amniotic Fluid metabolism, Amniotic Fluid chemistry, Metanephrine blood, Blood Glucose analysis, Blood Glucose metabolism, Pregnancy, Infant, Newborn, Diseases metabolism, Hypoglycemia metabolism, Hypoglycemia diagnosis, Hypoglycemia blood, Catecholamines metabolism, Catecholamines blood
- Abstract
Importance: Perinatal stress and fetal growth restriction increase the risk of neonatal hypoglycemia. The underlying pathomechanism is poorly understood. In a sheep model, elevated catecholamine concentrations were found to suppress intrauterine insulin secretion, followed by hyperresponsive insulin secretion once the adrenergic stimulus subsided., Objective: To determine whether neonates with risk factors for hypoglycemia have higher catecholamine concentrations in umbilical cord blood (UCB) and/or amniotic fluid (AF) and whether catecholamines are correlated with postnatal glycemia., Design, Setting, and Participants: In a prospective cohort study of 328 neonates at a tertiary perinatal center from September 2020 through May 2022 in which AF and UCB were collected immediately during and after delivery, catecholamines and metanephrines were analyzed using liquid chromatography with tandem mass spectrometry. Participants received postnatal blood glucose (BG) screenings., Exposure: Risk factor for neonatal hypoglycemia., Main Outcomes and Measures: Comparison of catecholamine and metanephrine concentrations between at-risk neonates and control participants, and correlation of concentrations of catecholamines and metanephrines with the number and severity of postnatal hypoglycemic episodes., Results: In this study of 328 neonates (234 in the risk group: median [IQR] gestational age, 270 [261-277] days; and 94 in the control group: median [IQR] gestational age, 273 [270-278] days), growth-restricted neonates showed increased UCB median (IQR) concentrations of norepinephrine (21.10 [9.15-42.33] vs 10.88 [5.78-18.03] nmol/L; P < .001), metanephrine (0.37 [0.13-1.36] vs 0.12 [0.08-0.28] nmol/L; P < .001), and 3-methoxytyramine (0.149 [0.098-0.208] vs 0.091 [0.063-0.149] nmol/L; P = .001). Neonates with perinatal stress had increased UCB median (IQR) concentrations of norepinephrine (22.55 [8.99-131.66] vs 10.88 [5.78-18.03] nmol/L; P = .001), normetanephrine (1.75 [1.16-4.93] vs 1.25 [0.86-2.56] nmol/L; P = .004), and 3-methoxytyramine (0.120 [0.085-0.228] vs 0.091 [0.063-0.149] nmol/L; P = .008) (P < .0083 was considered statistically significant). Concentrations of UCB norepinephrine, metanephrine, and 3-methoxytyramine were negatively correlated with AF C-peptide concentration (rs = -0.212, P = .005; rs = -0.182, P = .016; and rs = -0.183, P = .016, respectively [P < .017 was considered statistically significant]). Concentrations of UCB norepinephrine, metanephrine, and 3-methoxytyramine were positively correlated with the number of hypoglycemic episodes (BG concentration of 30-45 mg/dL) (rs = 0.146, P = .01; rs = 0.151, P = .009; and rs = 0.180, P = .002, respectively). Concentrations of UCB metanephrine and 3-methoxytyramine were negatively correlated with the lowest measured BG concentration (rs = -0.149, P = .01; and rs = -0.153, P = .008, respectively)., Conclusions and Relevance: Neonates at risk for hypoglycemia displayed increased catecholamine and metanephrine concentrations that were correlated with postnatal hypoglycemic episodes and lower BG levels; these results are consistent with findings in a sheep model that fetal catecholamines are associated with neonatal β-cell physiology and that perinatal stress or growth restriction is associated with subsequent neonatal hyperinsulinemic hypoglycemia. Improving the pathomechanistic understanding of neonatal hypoglycemia may help to guide management of newborns at risk for hypoglycemia.
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- 2024
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43. Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.
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Németh AH, Antoniades CA, Dukart J, Minnerop M, Rentz C, Schuman BJ, van de Warrenburg B, Willemse I, Bertini E, Gupta AS, de Mello Monteiro CB, Almoajil H, Quinn L, Perlman SB, Horak F, Ilg W, Traschütz A, Vogel AP, and Dawes H
- Subjects
- Humans, Clinical Trials as Topic methods, Clinical Trials as Topic standards, Smartphone, Consensus, Delphi Technique, Ataxia diagnosis, Biomarkers analysis
- Abstract
Smartphone sensors are used increasingly in the assessment of ataxias. To date, there is no specific consensus guidance regarding a priority set of smartphone sensor measurements, or standard assessment criteria that are appropriate for clinical trials. As part of the Ataxia Global Initiative Digital-Motor Biomarkers Working Group (AGI WG4), aimed at evaluating key ataxia clinical domains (gait/posture, upper limb, speech and oculomotor assessments), we provide consensus guidance for use of internal smartphone sensors to assess key domains. Guidance was developed by means of a literature review and a two stage Delphi study conducted by an Expert panel, which surveyed members of AGI WG4, representing clinical, research, industry and patient-led experts, and consensus meetings by the Expert panel to agree on standard criteria and map current literature to these criteria. Seven publications were identified that investigated ataxias using internal smartphone sensors. The Delphi 1 survey ascertained current practice, and systems in use or under development. Wide variations in smartphones sensor use for assessing ataxia were identified. The Delphi 2 survey identified seven measures that were strongly endorsed as priorities in assessing 3/4 domains, namely gait/posture, upper limb, and speech performance. The Expert panel recommended 15 standard criteria to be fulfilled in studies. Evaluation of current literature revealed that none of the studies met all criteria, with most being early-phase validation studies. Our guidance highlights the importance of consensus, identifies priority measures and standard criteria, and will encourage further research into the use of internal smartphone sensors to measure ataxia digital-motor biomarkers., (© 2023. The Author(s).)
- Published
- 2024
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44. A miR-137-Related Biological Pathway of Risk for Schizophrenia Is Associated With Human Brain Emotion Processing.
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Pergola G, Rampino A, Sportelli L, Borcuk CJ, Passiatore R, Di Carlo P, Marakhovskaia A, Fazio L, Amoroso N, Castro MN, Domenici E, Gennarelli M, Khlghatyan J, Kikidis GC, Lella A, Magri C, Monaco A, Papalino M, Parihar M, Popolizio T, Quarto T, Romano R, Torretta S, Valsecchi P, Zunuer H, Blasi G, Dukart J, Beaulieu JM, and Bertolino A
- Subjects
- Humans, Genome-Wide Association Study, Brain, Emotions, Schizophrenia, MicroRNAs genetics, MicroRNAs metabolism
- Abstract
Background: miR-137 is a microRNA involved in brain development, regulating neurogenesis and neuronal maturation. Genome-wide association studies have implicated miR-137 in schizophrenia risk but do not explain its involvement in brain function and underlying biology. Polygenic risk for schizophrenia mediated by miR-137 targets is associated with working memory, although other evidence points to emotion processing. We characterized the functional brain correlates of miR-137 target genes associated with schizophrenia while disentangling previously reported associations of miR-137 targets with working memory and emotion processing., Methods: Using RNA sequencing data from postmortem prefrontal cortex (N = 522), we identified a coexpression gene set enriched for miR-137 targets and schizophrenia risk genes. We validated the relationship of this set to miR-137 in vitro by manipulating miR-137 expression in neuroblastoma cells. We translated this gene set into polygenic scores of coexpression prediction and associated them with functional magnetic resonance imaging activation in healthy volunteers (n
1 = 214; n2 = 136; n3 = 2075; n4 = 1800) and with short-term treatment response in patients with schizophrenia (N = 427)., Results: In 4652 human participants, we found that 1) schizophrenia risk genes were coexpressed in a biologically validated set enriched for miR-137 targets; 2) increased expression of miR-137 target risk genes was mediated by low prefrontal miR-137 expression; 3) alleles that predict greater gene set coexpression were associated with greater prefrontal activation during emotion processing in 3 independent healthy cohorts (n1 , n2 , n3 ) in interaction with age (n4 ); and 4) these alleles predicted less improvement in negative symptoms following antipsychotic treatment in patients with schizophrenia., Conclusions: The functional translation of miR-137 target gene expression linked with schizophrenia involves the neural substrates of emotion processing., (Copyright © 2023 Society of Biological Psychiatry. All rights reserved.)- Published
- 2024
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45. Fractional amplitude of low-frequency fluctuations associated with μ-opioid and dopamine receptor distributions in the central nervous system after high-intensity exercise bouts.
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Boecker H, Daamen M, Maurer A, Bodensohn L, Werkhausen J, Lohaus M, Manunzio C, Manunzio U, Radbruch A, Attenberger U, Dukart J, and Upadhyay N
- Abstract
Introduction: Dopaminergic, opiod and endocannabinoid neurotransmission are thought to play an important role in the neurobiology of acute exercise and, in particular, in mediating positive affective responses and reward processes. Recent evidence indicates that changes in fractional amplitude of low-frequency fluctuations (zfALFF) in resting-state functional MRI (rs-fMRI) may reflect changes in specific neurotransmitter systems as tested by means of spatial correlation analyses., Methods: Here, we investigated this relationship at different exercise intensities in twenty young healthy trained athletes performing low-intensity (LIIE), high-intensity (HIIE) interval exercises, and a control condition on three separate days. Positive And Negative Affect Schedule (PANAS) scores and rs-fMRI were acquired before and after each of the three experimental conditions. Respective zfALFF changes were analyzed using repeated measures ANOVAs. We examined the spatial correspondence of changes in zfALFF before and after training with the available neurotransmitter maps across all voxels and additionally, hypothesis-driven, for neurotransmitter maps implicated in the neurobiology of exercise (dopaminergic, opiodic and endocannabinoid) in specific brain networks associated with "reward" and "emotion.", Results: Elevated PANAS Positive Affect was observed after LIIE and HIIE but not after the control condition. HIIE compared to the control condition resulted in differential zfALFF decreases in precuneus, temporo-occipital, midcingulate and frontal regions, thalamus, and cerebellum, whereas differential zfALFF increases were identified in hypothalamus, pituitary, and periaqueductal gray. The spatial alteration patterns in zfALFF during HIIE were positively associated with dopaminergic and μ-opioidergic receptor distributions within the 'reward' network., Discussion: These findings provide new insight into the neurobiology of exercise supporting the importance of reward-related neurotransmission at least during high-intensity physical activity., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Boecker, Daamen, Maurer, Bodensohn, Werkhausen, Lohaus, Manunzio, Manunzio, Radbruch, Attenberger, Dukart and Upadhyay.)
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- 2024
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46. Lifetime Exposure to Depression and Neuroimaging Measures of Brain Structure and Function.
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Wang X, Hoffstaedter F, Kasper J, Eickhoff SB, Patil KR, and Dukart J
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- Female, Male, Humans, Middle Aged, Aged, Cross-Sectional Studies, Neuroimaging, Antidepressive Agents, Depression diagnostic imaging, Brain diagnostic imaging
- Abstract
Importance: Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency and robustness of the observed brain phenotypes., Objective: To investigate the associations between 6 operational criteria of lifetime exposure to depression and functional and structural neuroimaging measures., Design, Setting, and Participants: This cross-sectional study analyzed data from a UK Biobank cohort of individuals aged 45 to 80 years who were enrolled between January 1, 2014, and December 31, 2018. Participants included individuals with a lifetime exposure to depression and matched healthy controls without indications of psychosis, mental illness, behavior disorder, and disease of the nervous system. Six operational criteria of lifetime exposure to depression were evaluated: help seeking for depression; self-reported depression; antidepressant use; depression definition by Smith et al; hospital International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes F32 and F33; and Composite International Diagnostic Interview Short Form score. Six increasingly restrictive depression definitions and groups were defined based on the 6 depression criteria, ranging from meeting only 1 criterion to meeting all 6 criteria. Data were analyzed between January and October 2022., Main Outcomes and Measures: Functional measures were calculated using voxel-wise fractional amplitude of low-frequency fluctuation (fALFF), global correlation (GCOR), and local correlation (LCOR). Structural measures were calculated using gray matter volume (GMV)., Results: The study included 20 484 individuals with lifetime depression (12 645 females [61.7%]; mean [SD] age, 63.91 [7.60] years) and 25 462 healthy controls (14 078 males [55.3%]; mean [SD] age, 65.05 [7.8] years). Across all depression criteria, individuals with lifetime depression displayed regionally consistent decreases in fALFF, LCOR, and GCOR (Cohen d range, -0.53 [95% CI, -0.88 to -0.15] to -0.04 [95% CI, -0.07 to -0.01]) but not in GMV (Cohen d range, -0.47 [95 % CI, -0.75 to -0.12] to 0.26 [95% CI, 0.15-0.37]). Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR] difference in effect sizes, -0.14 [-0.17 to -0.11]) and antidepressant use (median [IQR] difference in effect sizes, -0.12 [-0.16 to -0.10]) were criteria associated with the most pronounced alterations., Conclusions and Relevance: Results of this cross-sectional study indicate that lifetime exposure to depression was associated with robust functional changes, with a more restrictive depression definition revealing more pronounced alterations. Different inclusion criteria for depression may be associated with the substantial variation in imaging findings reported in the literature.
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- 2024
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47. The Clinical Development of Taldefgrobep Alfa: An Anti-Myostatin Adnectin for the Treatment of Duchenne Muscular Dystrophy.
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Muntoni F, Byrne BJ, McMillan HJ, Ryan MM, Wong BL, Dukart J, Bansal A, Cosson V, Dreghici R, Guridi M, Rabbia M, Staunton H, Tirucherai GS, Yen K, Yuan X, and Wagner KR
- Abstract
Introduction: Duchenne muscular dystrophy (DMD) is a genetic muscle disorder that manifests during early childhood and is ultimately fatal. Recently approved treatments targeting the genetic cause of DMD are limited to specific subpopulations of patients, highlighting the need for therapies with wider applications. Pharmacologic inhibition of myostatin, an endogenous inhibitor of muscle growth produced almost exclusively in skeletal muscle, has been shown to increase muscle mass in several species, including humans. Taldefgrobep alfa is an anti-myostatin recombinant protein engineered to bind to and block myostatin signaling. Preclinical studies of taldefgrobep alfa demonstrated significant decreases in myostatin and increased lower limb volume in three animal species, including dystrophic mice., Methods: This manuscript reports the cumulative data from three separate clinical trials of taldefgrobep alfa in DMD: a phase 1 study in healthy adult volunteers (NCT02145234), and two randomized, double-blind, placebo-controlled studies in ambulatory boys with DMD-a phase 1b/2 trial assessing safety (NCT02515669) and a phase 2/3 trial including the North Star Ambulatory Assessment (NSAA) as the primary endpoint (NCT03039686)., Results: In healthy adult volunteers, taldefgrobep alfa was generally well tolerated and resulted in a significant increase in thigh muscle volume. Treatment with taldefgrobep alfa was associated with robust dose-dependent suppression of free myostatin. In the phase 1b/2 trial, myostatin suppression was associated with a positive effect on lean body mass, though effects on muscle mass were modest. The phase 2/3 trial found that the effects of treatment did not meet the primary endpoint pre-specified futility analysis threshold (change from baseline of ≥ 1.5 points on the NSAA total score)., Conclusions: The futility analysis demonstrated that taldefgrobep alfa did not result in functional change for boys with DMD. The program was subsequently terminated in 2019. Overall, there were no safety concerns, and no patients were withdrawn from treatment as a result of treatment-related adverse events or serious adverse events., Trial Registration: NCT02145234, NCT02515669, NCT03039686., (© 2024. The Author(s).)
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- 2024
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48. Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems.
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Hahn L, Eickhoff SB, Mueller K, Schilbach L, Barthel H, Fassbender K, Fliessbach K, Kornhuber J, Prudlo J, Synofzik M, Wiltfang J, Diehl-Schmid J, Otto M, Dukart J, and Schroeter ML
- Subjects
- Female, Humans, Middle Aged, Aged, Amines, Serotonin, Norepinephrine Plasma Membrane Transport Proteins, RNA, Messenger, gamma-Aminobutyric Acid, Frontotemporal Dementia
- Abstract
Background: Aside to clinical changes, behavioral variant frontotemporal dementia (bvFTD) is characterized by progressive structural and functional alterations in frontal and temporal regions. We examined if there is a selective vulnerability of specific neurotransmitter systems in bvFTD by evaluating the link between disease-related functional alterations and the spatial distribution of specific neurotransmitter systems and their underlying gene expression levels., Methods: Maps of fractional amplitude of low-frequency fluctuations (fALFF) were derived as a measure of local activity from resting-state functional magnetic resonance imaging for 52 bvFTD patients (mean age = 61.5 ± 10.0 years; 14 females) and 22 healthy controls (HC) (mean age = 63.6 ± 11.9 years; 13 females). We tested if alterations of fALFF in patients co-localize with the non-pathological distribution of specific neurotransmitter systems and their coding mRNA gene expression. Furthermore, we evaluated if the strength of co-localization is associated with the observed clinical symptoms., Results: Patients displayed significantly reduced fALFF in frontotemporal and frontoparietal regions. These alterations co-localized with the distribution of serotonin (5-HT1b and 5-HT2a) and γ-aminobutyric acid type A (GABAa) receptors, the norepinephrine transporter (NET), and their encoding mRNA gene expression. The strength of co-localization with NET was associated with cognitive symptoms and disease severity of bvFTD., Conclusions: Local brain functional activity reductions in bvFTD followed the distribution of specific neurotransmitter systems indicating a selective vulnerability. These findings provide novel insight into the disease mechanisms underlying functional alterations. Our data-driven method opens the road to generate new hypotheses for pharmacological interventions in neurodegenerative diseases even beyond bvFTD., Funding: This study has been supported by the German Consortium for Frontotemporal Lobar Degeneration, funded by the German Federal Ministry of Education and Research (BMBF; grant no. FKZ01GI1007A)., Competing Interests: LH, SE, KM, LS, KF, KF, JK, JP, MS No competing interests declared, HB received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Life Molecular Imaging and Novartis/AAA. The author has no other competing interests to declare, MS has received consulting fees from, and currently act as a consultant for Aviado Bio, Prevail, Servier, Reata and Orphazyme. They have received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from GenOrph. The author has no other competing interests to declare, JW has received consulting fees from Boehringer-Ingelheim, F. Hoffmann-La Roche, Biogen, Immungenetics, Roboscreen and Abbott. They currently act as a consultant for Boehringer-Ingelheim, F. Hoffmann-La Roche, Biogen and Immungenetics, and hold a Leadership or fiduciary role at CSF Society, AGNP and DGLN. The author has received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Pfizer, Janssen, MSD SHARP & DOHME, Amgen, Roche Pharma, Actelion Pharmaceutical, Guangzhou Glorylen Medicial Technology Co. (China), Bejing Yibai Science and Technology Ltd. The author has been issued the following patents; EP2095128B1 and EP3105589A1. The author has no other competing interests to declare, JD has received a speaker fee from Jansen and Roche. The author has no other competing interests to declare, MO has received grants from BMBF - FTLD consortium, moodmarker, ALS association and EU - MIRIADE. The author has received consulting fees from, and currently acts as a consultant for, BIOGEN, Axon and Roche. The author has been issued a patent for Foundation state Baden-Wuerttemberg, Beta Syn as Biomarker for neurodegenerative diseases. The author holds an unpaid leadership or fiduciary role at the German Society for CSF diagnostics and neurochemistry and the Society for CSF diagnostics and neurochemistry, and as a speaker at the FTLD consortium. The author is co-inventor of a patent application (PCT/EP2020/072559) for using beta-synuclein measurement in blood.The author has no other competing interests to declare, JD former employee of and current consultant for F.Hoffmann-La Roche, (© 2024, Hahn et al.)
- Published
- 2024
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49. Indirect evidence for altered dopaminergic neurotransmission in very premature-born adults.
- Author
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Schinz D, Schmitz-Koep B, Zimmermann J, Brandes E, Tahedl M, Menegaux A, Dukart J, Zimmer C, Wolke D, Daamen M, Boecker H, Bartmann P, Sorg C, and Hedderich DM
- Subjects
- Humans, Male, Female, Infant, Young Adult, Magnetic Resonance Imaging, Oxygen Saturation, Intelligence Tests, Synaptic Transmission, Dopamine physiology, Premature Birth diagnostic imaging, Premature Birth psychology, Infant, Extremely Premature, Cognition, Dopaminergic Imaging
- Abstract
While animal models indicate altered brain dopaminergic neurotransmission after premature birth, corresponding evidence in humans is scarce due to missing molecular imaging studies. To overcome this limitation, we studied dopaminergic neurotransmission changes in human prematurity indirectly by evaluating the spatial co-localization of regional alterations in blood oxygenation fluctuations with the distribution of adult dopaminergic neurotransmission. The study cohort comprised 99 very premature-born (<32 weeks of gestation and/or birth weight below 1500 g) and 107 full-term born young adults, being assessed by resting-state functional MRI (rs-fMRI) and IQ testing. Normative molecular imaging dopamine neurotransmission maps were derived from independent healthy control groups. We computed the co-localization of local (rs-fMRI) activity alterations in premature-born adults with respect to term-born individuals to different measures of dopaminergic neurotransmission. We performed selectivity analyses regarding other neuromodulatory systems and MRI measures. In addition, we tested if the strength of the co-localization is related to perinatal measures and IQ. We found selectively altered co-localization of rs-fMRI activity in the premature-born cohort with dopamine-2/3-receptor availability in premature-born adults. Alterations were specific for the dopaminergic system but not for the used MRI measure. The strength of the co-localization was negatively correlated with IQ. In line with animal studies, our findings support the notion of altered dopaminergic neurotransmission in prematurity which is associated with cognitive performance., (© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
- Published
- 2023
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50. Changes in patterns of age-related network connectivity are associated with risk for schizophrenia.
- Author
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Passiatore R, Antonucci LA, DeRamus TP, Fazio L, Stolfa G, Sportelli L, Kikidis GC, Blasi G, Chen Q, Dukart J, Goldman AL, Mattay VS, Popolizio T, Rampino A, Sambataro F, Selvaggi P, Ulrich W, Weinberger DR, Bertolino A, Calhoun VD, and Pergola G
- Subjects
- Adult, Adolescent, Humans, Child, Young Adult, Brain diagnostic imaging, Magnetic Resonance Imaging methods, Risk Factors, Schizophrenia diagnostic imaging, Schizophrenia genetics, Psychotic Disorders
- Abstract
Alterations in fMRI-based brain functional network connectivity (FNC) are associated with schizophrenia (SCZ) and the genetic risk or subthreshold clinical symptoms preceding the onset of SCZ, which often occurs in early adulthood. Thus, age-sensitive FNC changes may be relevant to SCZ risk-related FNC. We used independent component analysis to estimate FNC from childhood to adulthood in 9,236 individuals. To capture individual brain features more accurately than single-session fMRI, we studied an average of three fMRI scans per individual. To identify potential familial risk-related FNC changes, we compared age-related FNC in first-degree relatives of SCZ patients mostly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage. Then, we examined how polygenic risk scores for SCZ influenced risk-related FNC patterns. Finally, we investigated the same risk-related FNC patterns in adult SCZ patients (oSCZ) and young individuals with subclinical psychotic symptoms (PSY). Age-sensitive risk-related FNC patterns emerge during adolescence and early adulthood, but not before. Young SIB always followed older NC patterns, with decreased FNC in a cerebellar-occipitoparietal circuit and increased FNC in two prefrontal-sensorimotor circuits when compared to young NC. Two of these FNC alterations were also found in oSCZ, with one exhibiting reversed pattern. All were linked to polygenic risk for SCZ in unrelated individuals (R
2 varied from 0.02 to 0.05). Young PSY showed FNC alterations in the same direction as SIB when compared to NC. These results suggest that age-related neurotypical FNC correlates with genetic risk for SCZ and is detectable with MRI in young participants.- Published
- 2023
- Full Text
- View/download PDF
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