BOLD fMRI complexity predicts changes in brain processes, interactions and patterns, in health and disease

dc.cclicenceCC-BY-NCen
dc.contributor.authorSokunbi, Moses O.en
dc.date.acceptance2016-06-16en
dc.date.accessioned2018-02-28T12:11:42Z
dc.date.available2018-02-28T12:11:42Z
dc.date.issued2016-06-23
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI linken
dc.description.abstractThe human brain is the most complex information processing system that exists in nature. Its information processing functionality exists at multiple levels of interactions which can be influenced by electrical, chemical and physical components governed by thresholds and saturation phenomena [1]. When these thresholds are exceeded, saturation is reached, giving rise to nonlinear behaviour [22]. The human brain like most dynamic systems in nature typically exhibit chaotic and complex behaviours with nonlinear dynamic properties [3].en
dc.exception.ref2021codes252cen
dc.funderN/Aen
dc.identifier.citationSokunbi, M.O. (2016) BOLD fMRI complexity predicts changes in brain processes, interactions and patterns, in health and disease. Journal of the Neurological Sciences, 367, pp.347-348.en
dc.identifier.doihttps://doi.org/10.1016/j.jns.2016.06.040
dc.identifier.issn0022-510X
dc.identifier.issn1878-5883
dc.identifier.urihttp://hdl.handle.net/2086/15301
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisherElsevieren
dc.researchinstituteInstitute for Allied Health Sciences Researchen
dc.subjectComplexityen
dc.subjectBlood oxygen level dependent (BOLD)en
dc.subjectConnectomicsen
dc.subjectEntropyen
dc.subjectFunctional magnetic resonance imagingen
dc.titleBOLD fMRI complexity predicts changes in brain processes, interactions and patterns, in health and diseaseen
dc.typeArticleen

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