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In vivo hippocampal subfield volumes in bipolar disorder—A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working Group
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-10-19 , DOI: 10.1002/hbm.25249
Unn K Haukvik 1, 2 , Tiril P Gurholt 2, 3, 4 , Stener Nerland 3, 4 , Torbjørn Elvsåshagen 2, 5, 6 , Theophilus N Akudjedu 7, 8 , Martin Alda 9, 10 , Dag Alnaes 2, 3 , Silvia Alonso-Lana 11 , Jochen Bauer 12 , Bernhard T Baune 13, 14, 15 , Francesco Benedetti 16, 17 , Michael Berk 18, 19 , Francesco Bettella 2 , Erlend Bøen 20 , Caterina M Bonnín 21 , Paolo Brambilla 22, 23 , Erick J Canales-Rodríguez 11 , Dara M Cannon 7 , Xavier Caseras 24 , Orwa Dandash 25, 26 , Udo Dannlowski 13 , Giuseppe Delvecchio 23 , Ana M Díaz-Zuluaga 27 , Theo G M van Erp 28, 29 , Mar Fatjó-Vilas 11 , Sonya F Foley 30 , Katharina Förster 13 , Janice M Fullerton 31, 32 , José M Goikolea 21 , Dominik Grotegerd 13 , Oliver Gruber 33 , Bartholomeus C M Haarman 34 , Beathe Haatveit 2, 3 , Tomas Hajek 9, 10 , Brian Hallahan 7 , Mathew Harris 35 , Emma L Hawkins 35 , Fleur M Howells 36, 37 , Carina Hülsmann 13 , Neda Jahanshad 38 , Kjetil N Jørgensen 3, 4 , Tilo Kircher 39, 40 , Bernd Krämer 33 , Axel Krug 39, 40, 41 , Rayus Kuplicki 42 , Trine V Lagerberg 2 , Thomas M Lancaster 30, 43 , Rhoshel K Lenroot 31, 44, 45 , Vera Lonning 3, 4 , Carlos López-Jaramillo 27, 46 , Ulrik F Malt 6 , Colm McDonald 7 , Andrew M McIntosh 35 , Genevieve McPhilemy 7 , Dennis van der Meer 3, 47 , Ingrid Melle 2, 3 , Elisa M T Melloni 16, 17 , Philip B Mitchell 44, 48 , Leila Nabulsi 7 , Igor Nenadić 39, 40 , Viola Oertel 49 , Lucio Oldani 22 , Nils Opel 13 , Maria C G Otaduy 50 , Bronwyn J Overs 31 , Julian A Pineda-Zapata 27, 51 , Edith Pomarol-Clotet 11 , Joaquim Radua 52, 53, 54 , Lisa Rauer 33 , Ronny Redlich 13 , Jonathan Repple 13 , Maria M Rive 55 , Gloria Roberts 44, 48 , Henricus G Ruhe 55, 56, 57 , Lauren E Salminen 38 , Raymond Salvador 11 , Salvador Sarró 11 , Jonathan Savitz 42, 58 , Aart H Schene 56, 57 , Kang Sim 59, 60, 61 , Marcio G Soeiro-de-Souza 62 , Michael Stäblein 49 , Dan J Stein 36, 37, 63 , Frederike Stein 39, 40 , Christian K Tamnes 2, 3, 4, 64 , Henk S Temmingh 36, 65 , Sophia I Thomopoulos 38 , Dick J Veltman 66, 67 , Eduard Vieta 68 , Lena Waltemate 13 , Lars T Westlye 2, 69 , Heather C Whalley 35 , Philipp G Sämann 70 , Paul M Thompson 38 , Christopher R K Ching 38 , Ole A Andreassen 2, 3 , Ingrid Agartz 3, 4, 71 ,
Affiliation  

The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta-Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1-weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed-effects models and mega-analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = −0.20), cornu ammonis (CA)1 (d = −0.18), CA2/3 (d = −0.11), CA4 (d = −0.19), molecular layer (d = −0.21), granule cell layer of dentate gyrus (d = −0.21), hippocampal tail (d = −0.10), subiculum (d = −0.15), presubiculum (d = −0.18), and hippocampal amygdala transition area (d = −0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non-users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.

中文翻译:

双相情感障碍的体内海马亚区体积——通过元分析双相情感障碍工作组增强神经影像遗传学的大型分析

海马体由解剖学和功能上不同的亚区组成,这些亚区可能不同地参与双相情感障碍 (BD) 的病理生理学。在这里,我们,通过 Meta 分析双相情感障碍工作组增强神经影像遗传学,研究 BD 中的海马亚区容积。FreeSurfer 处理了来自全球 23 个地点的 4,698 人(BD = 1,472,健康对照 [HC] = 3,226)的 T1 加权磁共振成像扫描。我们使用线性混合效应模型和大型分析来研究 BD 和 HC 之间海马亚区体积的差异,然后分析临床特征和药物使用情况。BD 显示整个海马体的体积明显更小(Cohen's d =  -0.20),cornu ammonis (CA)1 ( d = -0.18)、CA2/3(d =  -0.11)、CA4(d =  -0.19)、分子层(d =  -0.21)、齿状回颗粒细胞层(d =  -0.21)、海马尾(d =  - 0.10)、下托 ( d =  -0.15)、前托 ( d =  -0.18)、海马杏仁核过渡区 ( d = −0.17) 与 HC 相比。与 HC 相比,锂用户没有表现出体积差异,而非用户则有。抗精神病药或抗癫痫药的使用与较小的体积相关。在这项迄今为止对 BD 中海马亚区最大的研究中,我们显示研究的 12 个亚区中有 9 个普遍减少。这些关联受到药物使用的调节,特别是锂使用者和 HC 之间缺乏差异支持锂在 BD 中可能具有保护作用。
更新日期:2020-10-19
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