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大脑结构和功能与精神病理学连续体上的生物行为维度变化相关联。

Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum.

机构信息

Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands.

Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands.

出版信息

Elife. 2023 Jun 19;12:e85006. doi: 10.7554/eLife.85006.

Abstract

In line with the Research Domain Criteria (RDoC) , we set out to investigate the brain basis of psychopathology within a transdiagnostic, dimensional framework. We performed an integrative structural-functional linked independent component analysis to study the relationship between brain measures and a broad set of biobehavioral measures in a sample (n = 295) with both mentally healthy participants and patients with diverse non-psychotic psychiatric disorders (i.e. mood, anxiety, addiction, and neurodevelopmental disorders). To get a more complete understanding of the underlying brain mechanisms, we used gray and white matter measures for brain structure and both resting-state and stress scans for brain function. The results emphasize the importance of the executive control network (ECN) during the functional scans for the understanding of transdiagnostic symptom dimensions. The connectivity between the ECN and the frontoparietal network in the aftermath of stress was correlated with symptom dimensions across both the cognitive and negative valence domains, and also with various other health-related biological and behavioral measures. Finally, we identified a multimodal component that was specifically associated with the diagnosis of autism spectrum disorder (ASD). The involvement of the default mode network, precentral gyrus, and thalamus across the different modalities of this component may reflect the broad functional domains that may be affected in ASD, like theory of mind, motor problems, and sensitivity to sensory stimuli, respectively. Taken together, the findings from our extensive, exploratory analyses emphasize the importance of a dimensional and more integrative approach for getting a better understanding of the brain basis of psychopathology.

摘要

根据研究领域标准(RDoC),我们着手在跨诊断、维度框架内研究精神病理学的大脑基础。我们进行了综合结构-功能连接独立成分分析,以研究在一个样本(n=295)中大脑测量值与广泛的生物行为测量值之间的关系,该样本既有心理健康参与者,也有患有各种非精神病性精神障碍(即情绪、焦虑、成瘾和神经发育障碍)的患者。为了更全面地了解潜在的大脑机制,我们使用了大脑结构的灰质和白质测量值,以及大脑功能的静息态和应激扫描。研究结果强调了在功能扫描中执行控制网络(ECN)对于理解跨诊断症状维度的重要性。应激后 ECN 与额顶网络之间的连通性与认知和负性效价两个领域的症状维度以及各种其他与健康相关的生物和行为测量值相关。最后,我们确定了一个与自闭症谱系障碍(ASD)诊断特别相关的多模态成分。该成分的不同模态中默认模式网络、中央前回和丘脑的参与可能反映了 ASD 中可能受到影响的广泛功能领域,分别为心理理论、运动问题和对感官刺激的敏感性。总之,我们广泛的探索性分析结果强调了采用维度和更综合的方法来更好地理解精神病理学的大脑基础的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51b6/10519708/d32d281551c3/elife-85006-fig1.jpg

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