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Identifying Emergent Mesoscopic-Macroscopic Functional Brain Network Dynamics in Infants at Term-Equivalent Age with Electric Source Neuroimaging.
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- Author(s): Mehrkanoon S;Mehrkanoon S;Mehrkanoon S;Mehrkanoon S; Boashash B; Boashash B; Boashash B; Colditz P; Colditz P; Colditz P; Colditz P
- Source:
Brain connectivity [Brain Connect] 2021 Oct; Vol. 11 (8), pp. 663-677. Date of Electronic Publication: 2021 Apr 26.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101550313 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2158-0022 (Electronic) Linking ISSN: 21580014 NLM ISO Abbreviation: Brain Connect Subsets: MEDLINE
- Publication Information: Original Publication: New Rochelle, NY : Mary Ann Liebert, Inc.
- Subject Terms:
- Abstract: Aim: To identify and characterize the functional brain networks at the time when the brain is yet to develop higher order functions in term-born and preterm infants at term-equivalent age. Introduction: Although functional magnetic resonance imaging (fMRI) data have revealed the existence of spatially structured resting-state brain activity in infants, the temporal information of fMRI data limits the characterization of fast timescale brain oscillations. In this study, we use infants' high-density electroencephalography (EEG) to characterize spatiotemporal and spectral functional organizations of brain network dynamics. Methods: We used source-reconstructed EEG and graph theoretical analyses in 100 infants (84 preterm, 16 term born) to identify the rich-club topological organization, temporal dynamics, and spectral fingerprints of dynamic functional brain networks. Results: Five dynamic functional brain networks are identified, which have rich-club topological organizations, distinctive spectral fingerprints (in the delta and low-alpha frequency), and scale-invariant temporal dynamics (<0.1 Hz): The default mode, primary sensory-limbic system, thalamo-frontal, thalamo-sensorimotor, and visual-limbic system. The temporal dynamics of these networks are correlated in a hierarchically leading-following organization, showing that infant brain networks arise from long-range synchronization of band-limited cortical oscillation based on interacting fast- and slow-coherent cortical oscillations. Conclusion: Dynamic functional brain networks do not solely depend on the maturation of cognitive networks; instead, the brain network dynamics exist in infants at term age well before the childhood and adulthood, and hence, it offers a quantitative measurement of neurotypical development in infants. Clinical Trial Registration Number: ACTRN12615000591550. Impact statement Our work offers novel functional insights into the brain network characterization in infants, providing a new functional basis for future deployable prognostication approaches.
- Contributed Indexing: Keywords: EEG; cortical oscillations; emerging dynamics; infant brain; preterm birth; spatiotemporal patterns
- Publication Date: Date Created: 20210325 Date Completed: 20211230 Latest Revision: 20211230
- Publication Date: 20240105
- Accession Number: 10.1089/brain.2020.0965
- Accession Number: 33764807
- Source:
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