Complexity changes in functional state dynamics suggest focal connectivity reductions

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• dc.contributor.author Sutherland Blair, David
• dc.contributor.author Soriano Mas, Carles
• dc.contributor.author Cabral, Joana
• dc.contributor.author Moreira, Pedro
• dc.contributor.author Morgado, Pedro
• dc.contributor.author Deco, Gustavo
• dc.date.accessioned 2023-02-15T07:24:31Z
• dc.date.available 2023-02-15T07:24:31Z
• dc.date.issued 2022
• dc.description.abstract The past two decades have seen an explosion in the methods and directions of neuroscience research. Along with many others, complexity research has rapidly gained traction as both an independent research field and a valuable subdiscipline in computational neuroscience. In the past decade alone, several studies have suggested that psychiatric disorders affect the spatiotemporal complexity of both global and region-specific brain activity (Liu et al., 2013; Adhikari et al., 2017; Li et al., 2018). However, many of these studies have not accounted for the distributed nature of cognition in either the global or regional complexity estimates, which may lead to erroneous interpretations of both global and region-specific entropy estimates. To alleviate this concern, we propose a novel method for estimating complexity. This method relies upon projecting dynamic functional connectivity into a low-dimensional space which captures the distributed nature of brain activity. Dimension-specific entropy may be estimated within this space, which in turn allows for a rapid estimate of global signal complexity. Testing this method on a recently acquired obsessive-compulsive disorder dataset reveals substantial increases in the complexity of both global and dimension-specific activity versus healthy controls, suggesting that obsessive-compulsive patients may experience increased disorder in cognition. To probe the potential causes of this alteration, we estimate subject-level effective connectivity via a Hopf oscillator-based model dynamic model, the results of which suggest that obsessive-compulsive patients may experience abnormally high connectivity across a broad network in the cortex. These findings are broadly in line with results from previous studies, suggesting that this method is both robust and sensitive to group-level complexity alterations.
• dc.format.mimetype application/pdf
• dc.identifier.citation Sutherland Blair D, Soriano-Mas C, Cabral J, Moreira P, Morgado P, Deco G. Complexity changes in functional state dynamics suggest focal connectivity reductions. Front Hum Neurosci. 2022;16:958706. DOI: 10.3389/fnhum.2022.958706
• dc.identifier.doi http://dx.doi.org/10.3389/fnhum.2022.958706
• dc.identifier.issn 1662-5161
• dc.identifier.uri http://hdl.handle.net/10230/55776
• dc.language.iso eng
• dc.publisher Frontiers
• dc.relation.ispartof Frontiers in Human Neuroscience. 2022;16:958706.
• dc.relation.isreferencedby https://github.com/decolab/LEICA
• dc.relation.isreferencedby https://github.com/decolab/Functions
• dc.relation.isreferencedby https://github.com/decolab/Effective-Connectivity--Hopf
• dc.relation.isreferencedby https://www.frontiersin.org/articles/10.3389/fnhum.2022.958706/full#supplementary-material
• dc.rights © 2022 Blair, Soriano-Mas, Cabral, Moreira, Morgado and Deco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword LEiDA
• dc.subject.keyword Hopf bifurcation
• dc.subject.keyword whole-brain model
• dc.subject.keyword obsessive-compulsive disorder
• dc.subject.keyword independent component analysis
• dc.subject.keyword eigendecomposition
• dc.subject.keyword Shannon entropy
• dc.subject.keyword network-based statistic
• dc.title Complexity changes in functional state dynamics suggest focal connectivity reductions
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion