Literature DB >> 28488308

Large-scale network organization of EEG functional connectivity in newborn infants.

Brigitta Tóth1, Gábor Urbán1,2, Gábor P Háden1, Molnár Márk1, Miklós Török3, Cornelis Jan Stam4, István Winkler1.   

Abstract

The organization of functional brain networks changes across human lifespan. The present study analyzed functional brain networks in healthy full-term infants (N = 139) within 1-6 days from birth by measuring neural synchrony in EEG recordings during quiet sleep. Large-scale phase synchronization was measured in six frequency bands with the Phase Lag Index. Macroscopic network organization characteristics were quantified by constructing unweighted minimum spanning tree graphs. The cortical networks in early infancy were found to be significantly more hierarchical and had a more cost-efficient organization compared with MST of random control networks, more so in the theta and alpha than in other frequency bands. Frontal and parietal sites acted as the main hubs of these networks, the topological characteristics of which were associated with gestation age (GA). This suggests that individual differences in network topology are related to cortical maturation during the prenatal period, when functional networks shift from strictly centralized toward segregated configurations. Hum Brain Mapp 38:4019-4033, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  electroencephalography; functional connectivity; graph theory; minimum spanning tree; neonate; network analysis

Mesh:

Year:  2017        PMID: 28488308      PMCID: PMC6867159          DOI: 10.1002/hbm.23645

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  65 in total

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10.  Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis.

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