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Your search keyword '"Bianca A.V. Alberton"' showing total 2 results
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1. Multiple testing correction over contrasts for brain imaging

Author

Bianca A.V. Alberton, Thomas E. Nichols, Humberto R. Gamba, and Anderson M. Winkler

Subjects
Multiple comparisons, Multiple testing, Brain imaging, Permutation tests, Contrast correction, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

The multiple testing problem arises not only when there are many voxels or vertices in an image representation of the brain, but also when multiple contrasts of parameter estimates (that represent hypotheses) are tested in the same general linear model. We argue that a correction for this multiplicity must be performed to avoid excess of false positives. Various methods for correction have been proposed in the literature, but few have been applied to brain imaging. Here we discuss and compare different methods to make such correction in different scenarios, showing that one classical and well known method is invalid, and argue that permutation is the best option to perform such correction due to its exactness and flexibility to handle a variety of common imaging situations.

Published
2020
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2. Cortical and subcortical brain structure in generalized anxiety disorder

Author

Paolo Brambilla, Tali M. Ball, Dan J. Stein, Courtney A. Filippi, Kathryn E. Werwath, Pedro Mario Pan, Heidi K. Schroeder, Hannah Zwiebel, Andrea Parolin Jackowski, Jared A. Nielsen, Savannah N. Gosnell, Hans J. Grabe, Christian Grillon, Paul M. Thompson, Gabrielle F. Freitag, Murray B. Stein, Karina S. Blair, Narcís Cardoner, Neda Jahanshad, Ana Munjiza Jovanovic, Cristina Ottaviani, Massimo Filippi, André Zugman, Katharina Wittfeld, Antonia N. Kaczkurkin, Camilla Cividini, Hugo D. Critchley, Nynke A. Groenewold, Elise M. Cardinale, Moji Aghajani, Bianca A.V. Alberton, Michael T. Perino, Anderson M. Winkler, Ellen Leibenluft, Sophia I. Thomopoulos, Mohammed R. Milad, Kevin Hilbert, Matteo Mancini, Randy L. Buckner, Henry Völzke, Robin Bülow, Carmen Andreescu, Milutin Kostić, Raquel E. Gur, Benson Mwangi, Daniel Porta-Casteràs, Michael J. Myers, Federica Agosta, Thomas Straube, Giovana Zunta-Soares, Gretchen J. Diefenbach, Martin P. Paulus, Erica Tamburo, Brenda E. Benson, Elena Makovac, Grace V. Ringlein, Andrea L. Gold, David Hofmann, Mon-Ju Wu, Jeffrey R. Strawn, Janna Marie Bas-Hoogendam, Dick J. Veltman, Eleonora Maggioni, Sandra Van der Auwera, Gregory A. Fonzo, Ramiro Salas, Giovanni Abrahão Salum, Daniel S. Pine, Gisele Gus Manfro, Bart Larsen, Monique Ernst, Nic J.A. van der Wee, Helena van Nieuwenhuizen, Mira Z. Hammoud, Ruben C. Gur, Katie L. Burkhouse, Chad M. Sylvester, Rachel Berta, Elisa Canu, Jair C. Soares, Theodore D. Satterthwaite, Qiongru Yu, Frances Meeten, Ulrike Lueken, Jordan W. Smoller, Michal Assaf, Lilianne R. Mujica-Parodi, K. Luan Phan, Jennifer Harper, Nicholas L. Balderston, James R. Blair, Anita Harrewijn, Rebecca B. Price, Katja Beesdo-Baum, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Harrewijn, A., Cardinale, E. M., Groenewold, N. A., Bas-Hoogendam, J. M., Aghajani, M., Hilbert, K., Cardoner, N., Porta-Casteras, D., Gosnell, S., Salas, R., Jackowski, A. P., Pan, P. M., Salum, G. A., Blair, K. S., Blair, J. R., Hammoud, M. Z., Milad, M. R., Burkhouse, K. L., Phan, K. L., Schroeder, H. K., Strawn, J. R., Beesdo-Baum, K., Jahanshad, N., Thomopoulos, S. I., Buckner, R., Nielsen, J. A., Smoller, J. W., Soares, J. C., Mwangi, B., Wu, M. -J., Zunta-Soares, G. B., Assaf, M., Diefenbach, G. J., Brambilla, P., Maggioni, E., Hofmann, D., Straube, T., Andreescu, C., Berta, R., Tamburo, E., Price, R. B., Manfro, G. G., Agosta, F., Canu, E., Cividini, C., Filippi, M., Kostic, M., Munjiza Jovanovic, A., Alberton, B. A. V., Benson, B., Freitag, G. F., Filippi, C. A., Gold, A. L., Leibenluft, E., Ringlein, G. V., Werwath, K. E., Zwiebel, H., Zugman, A., Grabe, H. J., Van der Auwera, S., Wittfeld, K., Volzke, H., Bulow, R., Balderston, N. L., Ernst, M., Grillon, C., Mujica-Parodi, L. R., van Nieuwenhuizen, H., Critchley, H. D., Makovac, E., Mancini, M., Meeten, F., Ottaviani, C., Ball, T. M., Fonzo, G. A., Paulus, M. P., Stein, M. B., Gur, R. E., Gur, R. C., Kaczkurkin, A. N., Larsen, B., Satterthwaite, T. D., Harper, J., Myers, M., Perino, M. T., Sylvester, C. M., Yu, Q., Lueken, U., Veltman, D. J., Thompson, P. M., Stein, D. J., Van der Wee, N. J. A., Winkler, A. M., and Pine, D. S.

Subjects
Adult, Male, medicine.medical_specialty, endocrine system, Generalized anxiety disorder, Neurosciences. Biological psychiatry. Neuropsychiatry, Anxiety, Audiology, Article, Structural magnetic resonance imaging, Cellular and Molecular Neuroscience, Secondary analysis, medicine, Psychology, Humans, ddc:610, Cortical surface, generalized anxiety disorder, structural brain imaging, cortical thickness, Child, diagnostic imaging [Brain], Biological Psychiatry, Medication use, diagnostic imaging [Anxiety Disorders], medicine.diagnostic_test, business.industry, Brain, Small sample, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Anxiety Disorders, Psychiatry and Mental health, multicentric network, Female, medicine.symptom, business, RC321-571, Neuroscience
Abstract

The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5–90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology.

Published
2021

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