| Title: |
What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group |
| Authors: |
Ching, CRK; Hibar, DP; Gurholt, TP; Nunes, A; Thomopoulos, SI; Abé, C; Agartz, I; Brouwer, RM; Cannon, DM; de Zwarte, SMC; Eyler, LT; Favre, P; Hajek, T; Haukvik, UK; Houenou, J; Landén, M; Lett, TA; McDonald, C; Nabulsi, L; Patel, Y; Pauling, ME; Paus, T; Radua, J; Soeiro-de-Souza, MG; Tronchin, G; van Haren, NEM; Vieta, E; Walter, H; Zeng, LL; Alda, M; Almeida, J; Alnæs, D; Alonso-Lana, S; Altimus, C; Bauer, M; Baune, BT; Bearden, CE; Bellani, M; Benedetti, F; Berk, M; Bilderbeck, AC; Blumberg, HP; Bøen, E; Bollettini, I; del Mar Bonnin, C; Brambilla, P; Canales-Rodríguez, EJ; Caseras, X; Dandash, O; Dannlowski, U; Delvecchio, G; Díaz-Zuluaga, AM; Dima, D; Duchesnay, É; Elvsåshagen, T; Fears, SC; Frangou, S; Fullerton, JM; Glahn, DC; Goikolea, JM; Green, MJ; Grotegerd, D; Gruber, O; Haarman, BCM; Henry, C; Howells, FM; Ives-Deliperi, V; Jansen, A; Kircher, TTJ; Knöchel, C; Kramer, B; Lafer, B; López-Jaramillo, C; Machado-Vieira, R; MacIntosh, BJ; Melloni, EMT; Mitchell, PB; Nenadic, I; Nery, F; Nugent, AC; Oertel, V; Ophoff, RA; Ota, M; Overs, BJ; Pham, DL; Phillips, ML; Pineda-Zapata, JA; Poletti, S; Polosan, M; Pomarol-Clotet, E; Pouchon, A; Quidé, Y; Rive, MM; Roberts, G; Ruhe, HG; Salvador, R; Sarró, S; Satterthwaite, TD; Schene, AH; Sim, K; Quide, Yann |
| Source: |
urn:ISSN:1065-9471 ; urn:ISSN:1097-0193 ; Human Brain Mapping, 43, 1, 56-82 |
| Publisher Information: |
Wiley |
| Publication Year: |
2022 |
| Collection: |
UNSW Sydney (The University of New South Wales): UNSWorks |
| Subject Terms: |
5202 Biological Psychology; 52 Psychology; Basic Behavioral and Social Science; Bipolar Disorder; Mental Illness; Serious Mental Illness; Brain Disorders; Biomedical Imaging; Genetics; Clinical Research; Schizophrenia; Behavioral and Social Science; Neurosciences; Mental Health; Neurological; 3 Good Health and Well Being; Cerebral Cortex; Humans; Magnetic Resonance Imaging; Meta-Analysis as Topic; Multicenter Studies as Topic; Neuroimaging; ENIGMA; MRI; cortical surface area; cortical thickness; mega-analysis; meta-analysis; psychiatry; volume |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
https://hdl.handle.net/1959.4/unsworks_71902; https://doi.org/10.1002/hbm.25098 |
| DOI: |
10.1002/hbm.25098 |
| Availability: |
https://hdl.handle.net/1959.4/unsworks_71902; https://unsworks.unsw.edu.au/bitstreams/0bb7fbcd-9887-4068-8f20-62650f41dba9/download; https://doi.org/10.1002/hbm.25098 |
| Rights: |
open access ; https://purl.org/coar/access_right/c_abf2 ; CC BY ; https://creativecommons.org/licenses/by/4.0/ ; free_to_read |
| Accession Number: |
edsbas.2DCB8ECA |
| Database: |
BASE |