Automatic parcellation of resting-state cortical dynamics by iterative community detection and similarity measurements <i>Running title: Functional parcellation of the cerebral cortex</i>
To investigate the properties of a large-scale brain network, it is a common practice to reduce the dimension of resting state functional magnetic resonance imaging (rs-fMRI) data to tens to hundreds of nodes. This study presents an analytic streamline that incorporates modular analysis and similari...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2021-09-01
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| Series: | AIMS Neuroscience |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/Neuroscience.2021028?viewType=HTML |