Connectome-based functional connectivity markers of suicide attempt.

Connectome-based functional connectivity markers of suicide attempt.
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DOI:
10.1016/j.jad.2020.11.061
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发表时间:
2020-11
影响因子:
6.6
通讯作者:
Anna Stumps;Audreyana Jagger-Rickels;David Rothlein;M. Amick;Hannah Park;T. Evans;Francesca C. Fortenbaugh;C. Fortier;J. Fonda;Daniel Lee;W. Milberg;R. McGlinchey;J. DeGutis;M. Esterman
Anna Stumps;Audreyana Jagger-Rickels;David Rothlein;M. Amick;Hannah Park;T. Evans;Francesca C. Fortenbaugh;C. Fortier;J. Fonda;Daniel Lee;W. Milberg;R. McGlinchey;J. DeGutis;M. Esterman
中科院分区:
医学2区
文献类型:
--
作者:
Anna Stumps;Audreyana Jagger-Rickels;David Rothlein;M. Amick;Hannah Park;T. Evans;Francesca C. Fortenbaugh;C. Fortier;J. Fonda;Daniel Lee;W. Milberg;R. McGlinchey;J. DeGutis;M. Esterman

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背景:自杀倾向的脑功能标记可以帮助识别高危个体,揭示潜在的神经认知机制。尽管一些趋同的证据暗示了几个脑网络的功能障碍,但由于神经影像学方法、临床人群和实验方法的异质性,与自杀相关的神经影像学标志物在研究中不一致。方法:本研究旨在通过对9/11后有自杀企图(SA, n= 16)的退伍军人样本的静息-功能磁共振连通性进行研究,并将其与没有SA病史但具有可比性的过去和现在症状的精神病学对照组(PC, n= 124)以及创伤暴露健康对照组(TC, n= 66)进行比较。我们使用了一种新颖的图形分析和基于种子的方法来表征大脑网络中sa相关的连接差异。首先,图形分析方法确定了右杏仁核和认知控制网络(右颞中回;MTG)中的一个区域是与sa相关的功能障碍中枢(HoD),或者是表现出大量sa相关连接的区域。这些中枢之间异常的sa相关连接跨越多个网络,包括认知控制、默认模式和视觉网络。其次,基于种子的连通性分析确定了整个大脑中与sa相关的神经连接强度差异,进一步暗示了右杏仁核。局限性:样本量小,可能漏报SA。结论这两种分析方法初步提示右侧杏仁核和右侧MTG可能是SA特异性的神经标志物,可与精神病理神经标志物进行更广泛的区分。
BackgroundFunctional brain markers of suicidality can help identify at-risk individuals and uncover underlying neurocognitive mechanism(s). Although some converging evidence has implicated dysfunction in several brain networks, suicide-related neuroimaging markers are inconsistent across studies, due to heterogeneity of neuroimaging approaches, clinical populations, and experimental methods.MethodsThe current study aimed to address these limitations by examining resting-fMRI connectivity in a sample of post-9/11 veterans with a past suicide attempt (SA;n= 16) compared to a psychiatric control group (PC;n= 124) with no SA history but comparable past and present symptomatology, as well as a trauma control group (TC;n= 66) of trauma-exposed healthy controls. We used both a novel graph-analytic and seed-based approach to characterize SA-related connectivity differences across brain networks.ResultsFirst, the graph-analytic approach identified the right amygdala and a region in the cognitive control network (right middle temporal gyrus; MTG) as regional SA-related hubs of dysfunction (HoD), or regions that exhibited a highnumberof SA-related connections. Aberrant SA-related connectivity between these hubs spanned multiple networks, including the cognitive control, default mode and visual networks. Second, the seed-based connectivity analysis that identifies SA-related differences in thestrengthof neural connections across the whole brain further implicated the right amygdala.LimitationsSmall sample size and potential underreporting of SA.ConclusionsThese two analytic approaches preliminarily suggest that the right amygdala and right MTG may be specific neural markers of SA that can be differentiated from neural markers of psychopathology more broadly.