背景:快感障碍是阈下抑郁(StD)的一种持久症状,可预测重度抑郁症(MDD)的后期发作。与健康对照(HC)相比,脑结构协方差描述了形态学变化的区域间分布,并反映了脑成熟和疾病进展。我们从结构协方差研究了快感缺失的神经相关性。
方法:从79名年轻人中采集了T1加权脑磁共振图像(26StD,30MDD,和23HC)。68个皮质表面积(CSAs)的个体内结构协方差网络,68皮质厚度(CT),构建了14个皮质下体积。使用全局和区域图指标定义了组级枢纽和主要边缘,组间比较,并检查了与快感缺失严重程度的关联。
结果:全球网络指标在StD,MDD,HC。StD显示左苍白球体积的中心性低于HC。在右头端前扣带回皮质(ACC)和三角部的CSA中,StD显示出高于HC的中心性,在左眶旁的CT中。快感减少与左苍白球和右杏仁核的中心性较高相关,左中央后回-海马旁回和LIPL-右杏仁核的结构协方差(EBSC)中的边缘中心性较高。更多的快感缺失与左下顶叶小叶(LIPL)的中心性较高有关,左中央后回,左尾部ACC,LIPL-左中央后回的EBSC较高,LIPL-右枕骨外侧回,左尾ACC-海马旁回。
结论:本研究采用横断面设计。
结论:显著性和边缘网络内脑形态的结构协方差,在显著性-边缘-默认模式-躯体运动-视觉网络中,是抑郁症中快感缺失的可能神经相关因素。
BACKGROUND: Anhedonia is an enduring symptom of subthreshold depression (StD) and predict later onset of major depressive disorder (MDD). Brain structural covariance describes the inter-regional distribution of morphological changes compared to healthy controls (HC) and reflects brain maturation and disease progression. We investigated neural correlates of anhedonia from the structural covariance.
METHODS: T1-weighted brain magnetic resonance images were acquired from 79 young adults (26 StD, 30 MDD, and 23 HC). Intra-individual structural covariance networks of 68 cortical surface area (CSAs), 68 cortical thicknesses (CTs), and 14 subcortical volumes were constructed. Group-level hubs and principal edges were defined using the global and regional graph metrics, compared between groups, and examined for the association with anhedonia severity.
RESULTS: Global network metrics were comparable among the StD, MDD, and HC. StD exhibited lower centralities of left pallidal volume than HC. StD showed higher centralities than HC in the CSAs of right rostral anterior cingulate cortex (ACC) and pars triangularis, and in the CT of left pars orbitalis. Less anhedonia was associated with higher centralities of left pallidum and right amygdala, higher edge betweenness centralities in the structural covariance (EBSC) of left postcentral gyrus-parahippocampal gyrus and LIPL-right amygdala. More anhedonia was associated with higher centralities of left inferior parietal lobule (LIPL), left postcentral gyrus, left caudal ACC, and higher EBSC of LIPL-left postcentral gyrus, LIPL-right lateral occipital gyrus, and left caudal ACC-parahippocampal gyrus.
CONCLUSIONS: This study has a cross-sectional design.
CONCLUSIONS: Structural covariance of brain morphologies within the salience and limbic networks, and among the salience-limbic-default mode-somatomotor-visual networks, are possible neural correlates of anhedonia in depression.