Authors
Sean R McWhinney, Jaroslav Hlinka, Eduard Bakstein, Lorielle MF Dietze, Emily LV Corkum, Christoph Abé, Martin Alda, Nina Alexander, Francesco Benedetti, Michael Berk, Erlend Bøen, Linda M Bonnekoh, Birgitte Boye, Katharina Brosch, Erick J Canales‐Rodríguez, Dara M Cannon, Udo Dannlowski, Caroline Demro, Ana Diaz‐Zuluaga, Torbjørn Elvsåshagen, Lisa T Eyler, Lydia Fortea, Janice M Fullerton, Janik Goltermann, Ian H Gotlib, Dominik Grotegerd, Bartholomeus Haarman, Tim Hahn, Fleur M Howells, Hamidreza Jamalabadi, Andreas Jansen, Tilo Kircher, Anna Luisa Klahn, Rayus Kuplicki, Elijah Lahud, Mikael Landén, Elisabeth J Leehr, Carlos Lopez‐Jaramillo, Scott Mackey, Ulrik Malt, Fiona Martyn, Elena Mazza, Colm McDonald, Genevieve McPhilemy, Sandra Meier, Susanne Meinert, Elisa Melloni, Philip B Mitchell, Leila Nabulsi, Igor Nenadić, Robert Nitsch, Nils Opel, Roel A Ophoff, Maria Ortuño, Bronwyn J Overs, Julian Pineda‐Zapata, Edith Pomarol‐Clotet, Joaquim Radua, Jonathan Repple, Gloria Roberts, Elena Rodriguez‐Cano, Matthew D Sacchet, Raymond Salvador, Jonathan Savitz, Freda Scheffler, Peter R Schofield, Navid Schürmeyer, Chen Shen, Kang Sim, Scott R Sponheim, Dan J Stein, Frederike Stein, Benjamin Straube, Chao Suo, Henk Temmingh, Lea Teutenberg, Florian Thomas‐Odenthal, Sophia I Thomopoulos, Snezana Urosevic, Paula Usemann, Neeltje EM van Haren, Cristian Vargas, Eduard Vieta, Enric Vilajosana, Annabel Vreeker, Nils R Winter, Lakshmi N Yatham, Paul M Thompson, Ole A Andreassen, Christopher RK Ching, Tomas Hajek
Publication date
2024/6/1
Journal
Human Brain Mapping
Volume
45
Issue
8
Pages
e26682
Publisher
John Wiley & Sons, Inc.
Description
Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA‐BD working group, we investigated T1‐weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and …
Scholar articles
SR McWhinney, J Hlinka, E Bakstein, LMF Dietze… - Human Brain Mapping, 2024