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将青少年的多尺度脑连接性与警觉性、工作记忆及行为相联系

LINKING MULTI-SCALE BRAIN CONNECTIVITY WITH VIGILANCE, WORKING MEMORY, AND BEHAVIOR IN ADOLESCENTS.

作者信息

Bajracharya Prerana, Ballem Ram, Chen Jiayu, Andrés-Camazón Pablo, Khasayeva Nigar, Calhoun Vince, Liu Jingyu, Iraji Armin

机构信息

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, USA.

Department of Computer Science, Georgia State University, Atlanta, USA.

出版信息

bioRxiv. 2025 May 11:2025.05.09.653144. doi: 10.1101/2025.05.09.653144.

Abstract

This study examines how multi-scale intrinsic connectivity networks (ICNs) relate to cognitive and behavioral functions in adolescents, focusing on attention/vigilance, working memory, and behavioral regulation. Leveraging the NeuroMark 2.2 multi-scale ICN template obtained from over 100,000 subjects, we obtained multi-scale ICNs from baseline resting-state fMRI data from the ABCD Study. For this study, we are interested in "the fronto-thalamo-cerebellar (FTC) circuitry" and choose the subdomains of Neuromark 2.2 that cover it: Cerebellar (CB), Subcortical - Extended Thalamic (SC-ET), Higher Cognition - Insular Temporal (HC-IT), and Higher Cognition - Frontal (HC-FR), previously identified as relevant to cognitive and behavioral functions. Employing a multivariate approach combining principal component analysis (PCA) and canonical correlation analysis (CCA), we examined associations between these multi-scale ICNs and cognitive-behavioral outcomes. Our findings revealed significant associations, particularly for one of the estimated canonical components, linking multi-scale ICNs to cognitive and behavioral measures across both discovery and replication sets. This connectivity pattern may serve as a potential marker for attention, working memory, and behavioral regulation, offering new insights into a wide spectrum of neurodevelopmental disorders including Attention-Deficit/Hyperactivity Disorder (ADHD).

摘要

本研究探讨多尺度内在连接网络(ICNs)与青少年认知和行为功能之间的关系,重点关注注意力/警觉性、工作记忆和行为调节。利用从超过10万名受试者获得的NeuroMark 2.2多尺度ICN模板,我们从青少年大脑认知发展研究(ABCD研究)的基线静息态功能磁共振成像(fMRI)数据中获取了多尺度ICNs。在本研究中,我们关注“额-丘脑-小脑(FTC)回路”,并选择NeuroMark 2.2中涵盖该回路的子域:小脑(CB)、皮质下-扩展丘脑(SC-ET)、高级认知-岛叶颞叶(HC-IT)和高级认知-额叶(HC-FR),这些子域先前已被确定与认知和行为功能相关。采用主成分分析(PCA)和典型相关分析(CCA)相结合的多变量方法,我们研究了这些多尺度ICNs与认知行为结果之间的关联。我们的研究结果显示了显著的关联,特别是对于估计的典型成分之一,将多尺度ICNs与发现集和复制集中的认知和行为测量联系起来。这种连接模式可能作为注意力、工作记忆和行为调节的潜在标志物,为包括注意力缺陷多动障碍(ADHD)在内的广泛神经发育障碍提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2df7/12247938/cfc85c845d23/nihpp-2025.05.09.653144v1-f0001.jpg

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