What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.

2022-01

Ching, Christopher R K

Hibar, Derrek P

Gurholt, Tiril P

Nunes, Abraham

Thomopoulos, Sophia I

Abé, Christoph

Agartz, Ingrid

Brouwer, Rachel M

Cannon, Dara M

de Zwarte, Sonja M C

Eyler, Lisa T

Favre, Pauline

Hajek, Tomas

Haukvik, Unn K

Houenou, Josselin

Landén, Mikael

Lett, Tristram A

McDonald, Colm

Nabulsi, Leila

Patel, Yash

Pauling, Melissa E

Paus, Tomas

Radua, Joaquim

Soeiro-de-Souza, Marcio G

Tronchin, Giulia

van Haren, Neeltje E M

Vieta, Eduard

Walter, Henrik

Zeng, Ling-Li

Alda, Martin

Almeida, Jorge

Alnaes, Dag

Alonso-Lana, Silvia

Altimus, Cara

Bauer, Michael

Baune, Bernhard T

Bearden, Carrie E

Bellani, Marcella

Benedetti, Francesco

Berk, Michael

Bilderbeck, Amy C

Blumberg, Hilary P

Bøen, Erlend

Bollettini, Irene

Del Mar Bonnin, Caterina

Brambilla, Paolo

Canales-Rodríguez, Erick J

Caseras, Xavier

Dandash, Orwa

Dannlowski, Udo

Delvecchio, Giuseppe

Díaz-Zuluaga, Ana M

Dima, Danai

Duchesnay, Édouard

Elvsåshagen, Torbjørn

Fears, Scott C

Frangou, Sophia

Fullerton, Janice M

Glahn, David C

Goikolea, Jose M

Green, Melissa J

Grotegerd, Dominik

Gruber, Oliver

Haarman, Bartholomeus C M

Henry, Chantal

Howells, Fleur M

Ives-Deliperi, Victoria

Jansen, Andreas

Kircher, Tilo T J

Knöchel, Christian

Kramer, Bernd

Lafer, Beny

López-Jaramillo, Carlos

Machado-Vieira, Rodrigo

MacIntosh, Bradley J

Melloni, Elisa M T

Mitchell, Philip B

Nenadic, Igor

Nery, Fabiano

Nugent, Allison C

Oertel, Viola

Ophoff, Roel A

Ota, Miho

Overs, Bronwyn J

Pham, Daniel L

Phillips, Mary L

Pineda-Zapata, Julian A

Poletti, Sara

Polosan, Mircea

Pomarol-Clotet, Edith

Pouchon, Arnaud

Quidé, Yann

Rive, Maria M

Roberts, Gloria

Ruhe, Henricus G

Salvador, Raymond

Sarró, Salvador

Satterthwaite, Theodore D

Schene, Aart H

Sim, Kang

Soares, Jair C

Stäblein, Michael

Stein, Dan J

Tamnes, Christian K

Thomaidis, Georgios V

Upegui, Cristian Vargas

Veltman, Dick J

Wessa, Michèle

Westlye, Lars T

Whalley, Heather C

Wolf, Daniel H

Wu, Mon-Ju

Yatham, Lakshmi N

Zarate, Carlos A

Thompson, Paul M

Andreassen, Ole A

ENIGMA

MRI

bipolar disorder

cortical surface area

cortical thickness

mega-analysis

meta-analysis

neuroimaging

psychiatry

volume

Journal Article

0000-0003-2921-3408

0000-0002-1272-7616

0000-0003-0281-8458

0000-0002-0363-4127

0000-0002-8516-923X

0000-0002-4749-6977

0000-0002-9006-8863

0000-0001-9759-2556

0000-0001-7300-2355

0000-0002-8569-7139

0000-0002-2621-2920

0000-0001-6548-426X

0000-0001-5799-9597

10.1002/hbm.25098

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.

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Human Brain Mapping 2022; 43(1): 56-82

Human Brain Mapping