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dc.contributor.authorVarley, Thomas F.
dc.contributor.authorCraig, Michael
dc.contributor.authorAdapa, Ram
dc.contributor.authorFinoia, Paola
dc.contributor.authorWilliams, Guy
dc.contributor.authorAllanson, Judith
dc.contributor.authorPickard, John
dc.contributor.authorMenon, David K.
dc.contributor.authorStamatakis, Emmanuel A.
dc.date.accessioned2020-02-14T02:14:31Z
dc.date.available2020-02-14T02:14:31Z
dc.date.issued2020-02-13
dc.date.submitted2019-09-26
dc.identifier.otherpone-d-19-27002
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/302180
dc.description.abstractRecent evidence suggests that the quantity and quality of conscious experience may be a function of the complexity of activity in the brain and that consciousness emerges in a critical zone between low and high-entropy states. We propose fractal shapes as a measure of proximity to this critical point, as fractal dimension encodes information about complexity beyond simple entropy or randomness, and fractal structures are known to emerge in systems nearing a critical point. To validate this, we tested several measures of fractal dimension on the brain activity from healthy volunteers and patients with disorders of consciousness of varying severity. We used a Compact Box Burning algorithm to compute the fractal dimension of cortical functional connectivity networks as well as computing the fractal dimension of the associated adjacency matrices using a 2D box-counting algorithm. To test whether brain activity is fractal in time as well as space, we used the Higuchi temporal fractal dimension on BOLD time-series. We found significant decreases in the fractal dimension between healthy volunteers (n = 15), patients in a minimally conscious state (n = 10), and patients in a vegetative state (n = 8), regardless of the mechanism of injury. We also found significant decreases in adjacency matrix fractal dimension and Higuchi temporal fractal dimension, which correlated with decreasing level of consciousness. These results suggest that cortical functional connectivity networks display fractal character and that this is associated with level of consciousness in a clinically relevant population, with higher fractal dimensions (i.e. more complex) networks being associated with higher levels of consciousness. This supports the hypothesis that level of consciousness and system complexity are positively associated, and is consistent with previous EEG, MEG, and fMRI studies.
dc.languageen
dc.publisherPublic Library of Science
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectResearch Article
dc.subjectPhysical sciences
dc.subjectBiology and life sciences
dc.subjectResearch and analysis methods
dc.subjectComputer and information sciences
dc.subjectMedicine and health sciences
dc.titleFractal dimension of cortical functional connectivity networks & severity of disorders of consciousness
dc.typeArticle
dc.date.updated2020-02-14T02:14:31Z
prism.issueIdentifier2
prism.publicationNamePLOS ONE
prism.volume15
dc.identifier.doi10.17863/CAM.49256
dcterms.dateAccepted2019-12-17
rioxxterms.versionofrecord10.1371/journal.pone.0223812
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisoreditor: Esteban, Francisco J.
dc.contributor.orcidVarley, Thomas F. [0000-0002-3317-9882]
dc.contributor.orcidMenon, David K. [0000-0002-3228-9692]
dc.identifier.eissn1932-6203


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)