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Frequency-Resolved Connectome Hubs and Their Test-Retest Reliability in the Resting Human Brain

摘要Functional hubs with disproportionately exten-sive connectivities play a crucial role in global information integration in human brain networks.However,most resting-state functional magnetic resonance imaging(R-fMRI)studies have identified functional hubs by examining spontaneous fluctuations of the blood oxygen level-depen-dent signal within a typical low-frequency band(e.g.,0.01-0.08 Hz or 0.01-0.1 Hz).Little is known about how the spatial distributions of functional hubs depend on frequency bands of interest.Here,we used repeatedly measured R-fMRI data from 53 healthy young adults and a degree centrality analysis to identify voxelwise frequency-resolved functional hubs and further examined their test-retest reliability across two sessions.We showed that a wide-range frequency band(0.01-0.24 Hz)accessible with a typical sampling rate(fsample=0.5 Hz)could be classified into three frequency bands with distinct patterns,namely,low-frequency(LF,0.01-0.06 Hz),middle-frequency(MF,0.06-0.16 Hz),and high-frequency(HF,0.16-0.24 Hz)bands.The functional hubs were mainly located in the medial and lateral frontal and parietal cortices in the LF band,and in the medial prefrontal cortex,superior temporal gyrus,parahippocampal gyrus,amygdala,and several cerebellar regions in the MF and HF bands.These hub regions exhibited fair to good test-retest reliability,regard-less of the frequency band.The presence of the three frequency bands was well replicated using an independent R-fMRI dataset from 45 healthy young adults.Our findings demonstrate reliable frequency-resolved functional con-nectivity hubs in three categories,thus providing insights into the frequency-specific connectome organization in healthy and disordered brains.

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作者 Lei Wang [1] Xiaodan Chen [1] Yuehua Xu [1] Miao Cao [2] Xuhong Liao [3] Yong He [4] 学术成果认领
作者单位 State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China;Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China;IDG/McGovern Institute for Brain Research,Beijing Normal University,Beijing 100875,China [1] Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai 200433,China;Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence(Fudan University),Ministry of Edu-cation,Shanghai 200433,China [2] School of Systems Science,Beijing Normal University,Beijing 100875,China [3] State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China;Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China;IDG/McGovern Institute for Brain Research,Beijing Normal University,Beijing 100875,China;Chinese Institute for Brain Research,Beijing 102206,China [4]
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发布时间 2022-09-02(万方平台首次上网日期,不代表论文的发表时间)
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神经科学通报(英文版)

神经科学通报(英文版)

2022年38卷5期

519-532页

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