4.6 Article

Developmental differences in functional organization of multispectral networks

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CEREBRAL CORTEX
卷 -, 期 -, 页码 -

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OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhad193

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magnetoencephalography; spontaneous; oscillation; resting state; connectivity; adolescence

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Assessing brain connectivity during rest has become a widely used approach to identify changes in functional brain organization during development. In our study, we examined spontaneous cortical activity during eyes-closed rest using MEG in typically developing youth. Connectivity was estimated in different frequency bands and specific changes were observed with increasing age. These findings contribute to our understanding of the developmental changes in brain organization and highlight the importance of multispectral functional connectivity.
Assessing brain connectivity during rest has become a widely used approach to identify changes in functional brain organization during development. Generally, previous works have demonstrated that brain activity shifts from more local to more distributed processing from childhood into adolescence. However, the majority of those works have been based on functional magnetic resonance imaging measures, whereas multispectral functional connectivity, as measured using magnetoencephalography (MEG), has been far less characterized. In our study, we examined spontaneous cortical activity during eyes-closed rest using MEG in 101 typically developing youth (9-15 years old; 51 females, 50 males). Multispectral MEG images were computed, and connectivity was estimated in the canonical delta, theta, alpha, beta, and gamma bands using the imaginary part of the phase coherence, which was computed between 200 brain regions defined by the Schaefer cortical atlas. Delta and alpha connectivity matrices formed more communities as a function of increasing age. Connectivity weights predominantly decreased with age in both frequency bands; delta-band differences largely implicated limbic cortical regions and alpha band differences in attention and cognitive networks. These results are consistent with previous work, indicating the functional organization of the brain becomes more segregated across development, and highlight spectral specificity across different canonical networks.

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