UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks

Simple item page
dc.contributor.authorAl-Darabsah, Islam
dc.contributor.authorChen, Liang
dc.contributor.authorNicola, Wilten
dc.contributor.authorCampbell, Sue Ann
dc.date.accessioned2022-04-22T20:22:39Z
dc.date.available2022-04-22T20:22:39Z
dc.date.issued2021-07
dc.description.abstractThe human brain constitutes one of the most advanced networks produced by nature, consisting of billions of neurons communicating with each other. However, this communication is not in real-time, with different communication or time-delays occurring between neurons in different brain areas. Here, we investigate the impacts of these delays by modeling large interacting neural circuits as neural-field systems which model the bulk activity of populations of neurons. By using a Master Stability Function analysis combined with numerical simulations, we find that delays (1) may actually stabilize brain dynamics by temporarily preventing the onset to oscillatory and pathologically synchronized dynamics and (2) may enhance or diminish synchronization depending on the underlying eigenvalue spectrum of the connectivity matrix. Real eigenvalues with large magnitudes result in increased synchronizability while complex eigenvalues with large magnitudes and positive real parts yield a decrease in synchronizability in the delay vs. instantaneously coupled case. This result applies to networks with fixed, constant delays, and was robust to networks with heterogeneous delays. In the case of real brain networks, where the eigenvalues are predominantly real, owing to the nearly symmetric nature of these weight matrices, biologically plausible, small delays, are likely to increase synchronization, rather than decreasing it.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada.en
dc.identifier.urihttps://doi.org/10.3389/fnsys.2021.688517
dc.identifier.urihttp://hdl.handle.net/10012/18163
dc.language.isoenen
dc.publisherFrontiers Publishingen
dc.relation.ispartofseriesFrontiers in systems neuroscience;
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectsynchronizationen
dc.subjecttime delayen
dc.subjectwilson-cowan networken
dc.subjecthomeostatic synaptic plasticityen
dc.subjectmaster stability functionen
dc.subjectnetwork neuroscienceen
dc.subjectconnectomesen
dc.titleThe Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networksen
dc.typeArticleen
dcterms.bibliographicCitationAl-Darabsah, I., Chen, L., Nicola, W., & Campbell, S. A. (2021). The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks. Frontiers in Systems Neuroscience, 15. https://www.frontiersin.org/article/10.3389/fnsys.2021.688517en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen
uws.contributor.affiliation2Centre for Theoretical Neuroscience (CTN)en
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks.pdf
Size:
2.04 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.47 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Waterloo Research
Applied Mathematics