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Altered temporal stability in dynamic neural networks underlies connectivity changes in neurodevelopment

Brookes, Matthew J.; Groom, Madeleine J.; Liuzzi, Lucrezia; Hill, Ryan M.; Smith, Helen J.F.; Briley, Paul M.; Hall, Emma L.; Hunt, Benjamin A.E.; Gascoyne, Lauren E.; Taylor, Margot J.; Liddle, Peter F.; Morris, Peter G.; Woolrich, Mark W.; Liddle, Elizabeth B.

Authors

Lucrezia Liuzzi

Ryan M. Hill

Helen J.F. Smith

Paul M. Briley

Emma L. Hall

Benjamin A.E. Hunt

Margot J. Taylor

Mark W. Woolrich



Abstract

Network connectivity is an integral feature of human brain function, and characterising its maturational trajectory is a critical step towards understanding healthy and atypical neurodevelopment. Here, we used magnetoencephalography (MEG) to investigate both stationary (i.e. time averaged) and rapidly modulating (dynamic) electrophysiological connectivity, in participants aged from mid-childhood to early adulthood (youngest participant 9 years old; oldest participant 25 years old). Stationary functional connectivity (measured via inter-regional coordination of neural oscillations) increased with age in the alpha and beta frequency bands, particularly in bilateral parietal and temporo-parietal connections. Our dynamic analysis (also applied to alpha/beta oscillations) revealed the spatiotemporal signatures of 8 dynamic networks; these modulate on a ∼100 ms time scale, and temporal stability in attentional networks was found to increase with age. Significant overlap was found between age-modulated dynamic networks and inter-regional oscillatory coordination, implying that altered network dynamics underlie age related changes in functional connectivity. Our results provide novel insights into brain network electrophysiology, and lay a foundation for future work in childhood disorders.

Citation

Brookes, M. J., Groom, M. J., Liuzzi, L., Hill, R. M., Smith, H. J., Briley, P. M., …Liddle, E. B. (2018). Altered temporal stability in dynamic neural networks underlies connectivity changes in neurodevelopment. NeuroImage, 174, https://doi.org/10.1016/j.neuroimage.2018.03.008

Journal Article Type Article
Acceptance Date Mar 3, 2018
Online Publication Date Mar 8, 2018
Publication Date Jul 1, 2018
Deposit Date May 31, 2018
Publicly Available Date Mar 9, 2019
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1053-8119
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 174
DOI https://doi.org/10.1016/j.neuroimage.2018.03.008
Public URL http://eprints.nottingham.ac.uk/id/eprint/52146
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811918301939?via%3Dihub
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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