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儿童精神病理学的多模态神经关联

MULTIMODAL NEURAL CORRELATES OF CHILDHOOD PSYCHOPATHOLOGY.

作者信息

Royer Jessica, Kebets Valeria, Piguet Camille, Chen Jianzhong, Ooi Leon Qi Rong, Kirschner Matthias, Siffredi Vanessa, Misic Bratislav, Yeo B T Thomas, Bernhardt Boris C

机构信息

McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.

Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

出版信息

bioRxiv. 2024 Aug 17:2023.03.02.530821. doi: 10.1101/2023.03.02.530821.

Abstract

Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology () factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples, supporting generalizability, and robust to variations in analytical parameters. Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers.

摘要

典型和非典型发育中发生的复杂结构和功能变化需要采用多维度方法,以便更好地理解发展为精神病理学的风险。在此,我们在青少年大脑认知发展数据集中,同时研究了与精神病理学维度相关的大脑结构和功能网络模式。识别出了几个成分,概括了精神病理学层次结构,其中一般精神病理学()因素解释了与多模态成像特征的大部分协方差,而内化、外化和神经发育维度分别与不同的形态学和功能连接特征相关。与该因素和神经发育维度相关的连接特征遵循皮质组织的感觉至跨模态轴,这与复杂认知的出现和精神病理学风险有关。结果在两个独立的数据子样本中是一致的,支持了可推广性,并且对分析参数的变化具有鲁棒性。我们的发现有助于更好地理解精神病理学维度背后的生物学机制,并可为基于大脑的易感性标记物提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0899/11343159/2522118c6c04/nihpp-2023.03.02.530821v2-f0001.jpg

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