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What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-07-29 , DOI: 10.1002/hbm.25098
Christopher R K Ching 1 , Derrek P Hibar 2 , Tiril P Gurholt 3, 4 , Abraham Nunes 5, 6 , Sophia I Thomopoulos 1 , Christoph Abé 6, 7 , Ingrid Agartz 3, 8, 9 , Rachel M Brouwer 10 , Dara M Cannon 11 , Sonja M C de Zwarte 10 , Lisa T Eyler 12, 13 , Pauline Favre 14, 15 , Tomas Hajek 4, 16 , Unn K Haukvik 4, 17 , Josselin Houenou 14, 15, 18 , Mikael Landén 19, 20 , Tristram A Lett 21, 22 , Colm McDonald 10 , Leila Nabulsi 1, 10 , Yash Patel 23 , Melissa E Pauling 13, 14 , Tomas Paus 23, 24 , Joaquim Radua 8, 25, 26, 27 , Marcio G Soeiro-de-Souza 28 , Giulia Tronchin 10 , Neeltje E M van Haren 29 , Eduard Vieta 25, 30 , Henrik Walter 21 , Ling-Li Zeng 1, 31 , Martin Alda 4 , Jorge Almeida 32 , Dag Alnaes 3 , Silvia Alonso-Lana 33, 34 , Cara Altimus 35 , Michael Bauer 36 , Bernhard T Baune 37, 38, 39 , Carrie E Bearden 40, 41 , Marcella Bellani 42 , Francesco Benedetti 43, 44 , Michael Berk 45, 46 , Amy C Bilderbeck 47, 48 , Hilary P Blumberg 49 , Erlend Bøen 50 , Irene Bollettini 44 , Caterina Del Mar Bonnin 25, 30 , Paolo Brambilla 51, 52 , Erick J Canales-Rodríguez 33, 34, 53, 54 , Xavier Caseras 55 , Orwa Dandash 56, 57 , Udo Dannlowski 37 , Giuseppe Delvecchio 51 , Ana M Díaz-Zuluaga 58 , Danai Dima 59, 60 , Édouard Duchesnay 14 , Torbjørn Elvsåshagen 17, 61, 62 , Scott C Fears 63, 64 , Sophia Frangou 65, 66 , Janice M Fullerton 67, 68 , David C Glahn 69 , Jose M Goikolea 25, 30 , Melissa J Green 67, 70 , Dominik Grotegerd 37 , Oliver Gruber 71 , Bartholomeus C M Haarman 72 , Chantal Henry 73, 74 , Fleur M Howells 75, 76 , Victoria Ives-Deliperi 75 , Andreas Jansen 77, 78 , Tilo T J Kircher 78 , Christian Knöchel 79 , Bernd Kramer 71 , Beny Lafer 80 , Carlos López-Jaramillo 58, 81 , Rodrigo Machado-Vieira 82 , Bradley J MacIntosh 83, 84 , Elisa M T Melloni 43, 44 , Philip B Mitchell 70 , Igor Nenadic 78 , Fabiano Nery 85, 86 , Allison C Nugent 87 , Viola Oertel 79 , Roel A Ophoff 88, 89 , Miho Ota 90 , Bronwyn J Overs 67 , Daniel L Pham 35 , Mary L Phillips 91 , Julian A Pineda-Zapata 92 , Sara Poletti 43, 44 , Mircea Polosan 93, 94 , Edith Pomarol-Clotet 33, 34 , Arnaud Pouchon 93 , Yann Quidé 67, 70 , Maria M Rive 95 , Gloria Roberts 70 , Henricus G Ruhe 96, 97 , Raymond Salvador 33, 34 , Salvador Sarró 33, 34 , Theodore D Satterthwaite 98 , Aart H Schene 96 , Kang Sim 99, 100 , Jair C Soares 101, 102 , Michael Stäblein 79 , Dan J Stein 75, 76, 103 , Christian K Tamnes 3, 8, 104 , Georgios V Thomaidis 105, 106 , Cristian Vargas Upegui 58 , Dick J Veltman 107 , Michèle Wessa 108 , Lars T Westlye 109, 110 , Heather C Whalley 111 , Daniel H Wolf 98 , Mon-Ju Wu 102 , Lakshmi N Yatham 112 , Carlos A Zarate 113, 114 , Paul M Thompson 1 , Ole A Andreassen 3, 4 ,
Affiliation  

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.

中文翻译:


我们从大规模神经影像学中了解到双相情感障碍:ENIGMA 双相情感障碍工作组的发现和未来方向



MRI 衍生的大脑测量提供了基因、环境和行为之间的联系,并已在双相情感障碍 (BD) 中得到广泛研究。然而,许多双相情感障碍的神经影像学研究动力不足,导致结果各异且效果不确定。通过荟萃分析增强神经影像遗传学 (ENIGMA) 双相情感障碍工作组成立于 2012 年,旨在推动发现、达成共识研究结果并为未来的假设驱动型双相情感障碍研究提供信息。通过这项努力,来自 20 个国家和 55 个机构的 150 多名研究人员汇集了数据和资源,开展了有史以来最大规模的 BD 神经影像研究。 ENIGMA 双相情感障碍工作组应用标准化处理和分析技术来支持多模式脑 MRI 的大规模荟萃分析和大型分析,并提高将大脑变异与临床和遗传数据相关的研究的可重复性。 BD 工作组的初步研究揭示了与 BD 相关的较低皮质厚度、皮质下体积和破坏的白质完整性的普遍模式。研究结果还包括绘制锂盐等常见药物的大脑变化、症状模式和临床风险概况,并为双相情感障碍的病理生理机制提供了进一步的见解。在这里,我们讨论 BD 工作组的主要发现、其正在进行的项目以及大规模精神疾病合作研究的未来方向。
更新日期:2020-07-29
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