Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain.
Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain.
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DOI：
10.1016/j.neuroimage.2023.119944
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发表时间：
2023-04-15
期刊：
影响因子：
5.7
通讯作者：
Leahy, Richard M.
中科院分区：
文献类型：
--
作者：
Li, Jian;Liu, Yijun;Wisnowski, Jessica L.;Leahy, Richard M.
关键词：
人的大脑是一个复杂的网络，根据分析方法在跨空间和时间上表现出动态的波动，从静止状态fMRI（RS-FMRI）鉴定出的规范性大脑网络通常会在空间和/或临时范围内（避免了临时的结构），以均与统计学上的统计学范围限制为正交或统计学。 a三个张量分解方法（“ NASCAR”）共同分析了来自多个受试者的RS-FMRI数据，包括最小的时空分布正如我们在ADHD和IQ预测的背景下所证明的那样，Atlas可以帮助探索神经认知功能的群体和个体差异。
The human brain is a complex network that exhibits dynamic fluctuations in activity across space and time. Depending on the analysis method, canonical brain networks identified from resting-state fMRI (rs-fMRI) are typically constrained to be either orthogonal or statistically independent in their spatial and/or temporal domains. We avoid imposing these potentially unnatural constraints through the combination of a temporal synchronization process (“BrainSync”) and a three-way tensor decomposition method (“NASCAR”) to jointly analyze rs-fMRI data from multiple subjects. The resulting set of interacting networks comprises minimally constrained spatiotemporal distributions, each representing one component of functionally coherent activity across the brain. We show that these networks can be clustered into six distinct functional categories and naturally form a representative functional network atlas for a healthy population. This functional network atlas could help explore group and individual differences in neurocognitive function, as we demonstrate in the context of ADHD and IQ prediction.
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5.7
作者：
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通讯作者：
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作者：
HD-200 Consortium
通讯作者：
HD-200 Consortium