4.6 Article

Integrated and segregated frequency architecture of the human brain network

期刊

BRAIN STRUCTURE & FUNCTION
卷 226, 期 2, 页码 335-350

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00429-020-02174-8

关键词

Frequency; Resting-state fMRI; Graph; Functional connectivity; Connectome

资金

  1. National Natural Science Foundation of China (NSFC) [81601559, 61772569]
  2. Guangdong Basic and Applied Basic Research Foundation [2019A1515012148]
  3. Fundamental Research Funds for the Central Universities [19wkzd20, 20wkzd11]

向作者/读者索取更多资源

The study revealed that different brain regions exhibit distinct functional characteristics in different frequency ranges, leading to diverse roles in the functional network. Frequency variability is associated with a spectrum of behavioral functions, including sensorimotor, complex cognitive, and social functions.
The frequency of brain activity modulates the relationship between the brain and human behavior. Insufficient understanding of frequency-specific features may thus lead to inconsistent explanations of human behavior. However, to date, the frequency-specific features of the human brain functional network at the whole-brain level remain poorly understood. Here, we used resting-state fMRI data and graph-theory analyses to investigate the frequency-specific characteristics of fMRI signals in 12 frequency bands (frequency range 0.01-0.7 Hz) in 75 healthy participants. We found that brain regions with higher level and more complex functions had a more variable functional connectivity pattern but engaged less in higher frequency ranges. Moreover, brain regions that engaged in fewer frequency bands played more integrated roles (i.e., higher network participation coefficient and lower within-module degree) in the functional network, whereas regions that engaged in broader frequency ranges exhibited more segregated functions (i.e., lower network participation coefficient and higher within-module degree). Finally, behavioral analyses revealed that regional frequency variability was associated with a spectrum of behavioral functions from sensorimotor functions to complex cognitive and social functions. Taken together, our results showed that segregated functions are executed in wide frequency ranges, whereas integrated functions are executed mainly in lower frequency ranges. These frequency-specific features of brain networks provided crucial insights into the frequency mechanism of fMRI signals, suggesting that signals in higher frequency ranges should be considered for their relation to cognitive functions.

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