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dc.contributor.authorLai,Meng-Chuanen
dc.contributor.authorLombardo,Michael V.en
dc.contributor.authorChakrabarti,B.en
dc.contributor.authorSadek,Susan A.en
dc.contributor.authorPasco, Gregen
dc.contributor.authorWheelwright,Sally J.en
dc.contributor.authorBullmore,Edward T.en
dc.contributor.authorBaron-Cohen,Simonen
dc.contributor.authorSuckling,Johnen
dc.creatorLai,Meng-Chuanen
dc.creatorLombardo, Michael V.en
dc.creatorChakrabarti,B.en
dc.creatorSadek,Susan A.en
dc.creatorPasco, Gregen
dc.creatorWheelwright,Sally J.en
dc.creatorBullmore,Edward T.en
dc.creatorBaron-Cohen,Simonen
dc.creatorSuckling,Johnen
dc.date.accessioned2017-07-27T10:21:58Z
dc.date.available2017-07-27T10:21:58Z
dc.date.issued2010
dc.identifier.urihttps://gnosis.library.ucy.ac.cy/handle/7/37434
dc.description.abstractBackground Resting-state functional magnetic resonance imaging (fMRI) enables investigation of the intrinsic functional organization of the brain. Fractal parameters such as the Hurst exponent, H, describe the complexity of endogenous low-frequency fMRI time series on a continuum from random (H = .5) to ordered (H = 1). Shifts in fractal scaling of physiological time series have been associated with neurological and cardiac conditions. Methods Resting-state fMRI time series were recorded in 30 male adults with an autism spectrum condition (ASC) and 33 age- and IQ-matched male volunteers. The Hurst exponent was estimated in the wavelet domain and between-group differences were investigated at global and voxel level and in regions known to be involved in autism. Results Complex fractal scaling of fMRI time series was found in both groups but globally there was a significant shift to randomness in the ASC (mean H = .758, SD = .045) compared with neurotypical volunteers (mean H = .788, SD = .047). Between-group differences in H, which was always reduced in the ASC group, were seen in most regions previously reported to be involved in autism, including cortical midline structures, medial temporal structures, lateral temporal and parietal structures, insula, amygdala, basal ganglia, thalamus, and inferior frontal gyrus. Severity of autistic symptoms was negatively correlated with H in retrosplenial and right anterior insular cortex. Conclusions Autism is associated with a small but significant shift to randomness of endogenous brain oscillations. Complexity measures may provide physiological indicators for autism as they have done for other medical conditions. © 2010 Society of Biological Psychiatry.en
dc.sourceBiological psychiatryen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78649864052&doi=10.1016%2fj.biopsych.2010.06.027&partnerID=40&md5=9ff863b82a75c3e0b60ccba835a3589a
dc.subjectAutismen
dc.subjectComplexityen
dc.subjectFractalen
dc.subjectHurst exponenten
dc.subjectOscillationsen
dc.subjectResting state fmrien
dc.titleA shift to randomness of brain oscillations in people with autismen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.biopsych.2010.06.027
dc.description.volume68
dc.description.issue12
dc.description.startingpage1092
dc.description.endingpage1099
dc.author.facultyΣχολή Κοινωνικών Επιστημών και Επιστημών Αγωγής / Faculty of Social Sciences and Education
dc.author.departmentΤμήμα Ψυχολογίας / Department of Psychology
dc.type.uhtypeArticleen
dc.description.notesCited By :68; Export Date: 17 July 2017en
dc.source.abbreviationBiol.Psychiatryen
dc.contributor.orcidLombardo, Michael V. [0000-0001-6780-8619]
dc.gnosis.orcid0000-0001-6780-8619


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