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Article: White matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism

TitleWhite matter fractional anisotrophy differences and correlates of diagnostic symptoms in autism
Authors
KeywordsBrain
Children
Diffusion tensor
Magnetic resonance imaging
Morphometry
Issue Date2009
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/JCPP
Citation
Journal Of Child Psychology And Psychiatry And Allied Disciplines, 2009, v. 50 n. 9, p. 1102-1112 How to Cite?
AbstractBackground: Individuals with autism have impairments in 3 domains: communication, social interaction and repetitive behaviours. Our previous work suggested early structural and connectivity abnormalities in prefrontal-striato-temporal-cerebellar networks but it is not clear how these are linked to diagnostic indices. Method: Children with autism (IQ > 70) aged 6 to 14 years old and matched typically developing controls were studied using diffusion tensor imaging. Voxel-based methods were used to compare fractional anisotrophy (FA) measures in each group and to correlate FA measures in the autism group with the diagnostic phenotype described by the Autism Diagnostic Interview - Revised (ADI-R) algorithm for ICD-10. Results: After controlling for the effects of age and white matter volume, we found that FA in the autism group was significantly lower than controls in bilateral prefrontal and temporal regions, especially in the right ventral temporal lobe adjacent to the fusiform gyrus. FA was greater in autism in the right inferior frontal gyrus and left occipital lobe. We observed a tight correlation between lower FA and higher ADI-R diagnostic algorithm scores across white matter tracts extending from these focal regions of group difference. Communication and social reciprocity impairments correlated with lower FA throughout fronto-striato-temporal pathways. Repetitive behaviours correlated with white matter indices in more posterior brain pathways, including splenium of the corpus callosum and cerebellum. Conclusions: Our data support the position that diagnostic symptoms of autism are associated with a core disruption of white matter development. © 2009 Association for Child and Adolescent Mental Health.
Persistent Identifierhttp://hdl.handle.net/10722/72398
ISSN
2014 Impact Factor: 6.459
2014 SCImago Journal Rankings: 2.993
ISI Accession Number ID
Funding AgencyGrant Number
University of Hong Kong
Funding Information:

This study was supported by a University of Hong Kong Grant to SEC.

References

 

DC FieldValueLanguage
dc.contributor.authorCheung, Cen_HK
dc.contributor.authorChua, SEen_HK
dc.contributor.authorCheung, Ven_HK
dc.contributor.authorKhong, PLen_HK
dc.contributor.authorTai, KSen_HK
dc.contributor.authorWong, TKWen_HK
dc.contributor.authorHo, TPen_HK
dc.contributor.authorMcAlonan, GMen_HK
dc.date.accessioned2010-09-06T06:41:19Z-
dc.date.available2010-09-06T06:41:19Z-
dc.date.issued2009en_HK
dc.identifier.citationJournal Of Child Psychology And Psychiatry And Allied Disciplines, 2009, v. 50 n. 9, p. 1102-1112en_HK
dc.identifier.issn0021-9630en_HK
dc.identifier.urihttp://hdl.handle.net/10722/72398-
dc.description.abstractBackground: Individuals with autism have impairments in 3 domains: communication, social interaction and repetitive behaviours. Our previous work suggested early structural and connectivity abnormalities in prefrontal-striato-temporal-cerebellar networks but it is not clear how these are linked to diagnostic indices. Method: Children with autism (IQ > 70) aged 6 to 14 years old and matched typically developing controls were studied using diffusion tensor imaging. Voxel-based methods were used to compare fractional anisotrophy (FA) measures in each group and to correlate FA measures in the autism group with the diagnostic phenotype described by the Autism Diagnostic Interview - Revised (ADI-R) algorithm for ICD-10. Results: After controlling for the effects of age and white matter volume, we found that FA in the autism group was significantly lower than controls in bilateral prefrontal and temporal regions, especially in the right ventral temporal lobe adjacent to the fusiform gyrus. FA was greater in autism in the right inferior frontal gyrus and left occipital lobe. We observed a tight correlation between lower FA and higher ADI-R diagnostic algorithm scores across white matter tracts extending from these focal regions of group difference. Communication and social reciprocity impairments correlated with lower FA throughout fronto-striato-temporal pathways. Repetitive behaviours correlated with white matter indices in more posterior brain pathways, including splenium of the corpus callosum and cerebellum. Conclusions: Our data support the position that diagnostic symptoms of autism are associated with a core disruption of white matter development. © 2009 Association for Child and Adolescent Mental Health.en_HK
dc.languageengen_HK
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/JCPPen_HK
dc.relation.ispartofJournal of Child Psychology and Psychiatry and Allied Disciplinesen_HK
dc.rightsThe definitive version is available at www3.interscience.wiley.com-
dc.subjectBrainen_HK
dc.subjectChildrenen_HK
dc.subjectDiffusion tensoren_HK
dc.subjectMagnetic resonance imagingen_HK
dc.subjectMorphometryen_HK
dc.subject.meshAutistic Disorder - pathology-
dc.subject.meshBasal Ganglia - pathology-
dc.subject.meshBrain - pathology-
dc.subject.meshCorpus Callosum - pathology-
dc.subject.meshDiffusion Magnetic Resonance Imaging-
dc.titleWhite matter fractional anisotrophy differences and correlates of diagnostic symptoms in autismen_HK
dc.typeArticleen_HK
dc.identifier.emailCheung, C: charlton@hkucc.hku.hken_HK
dc.identifier.emailChua, SE: sechua@hku.hken_HK
dc.identifier.emailKhong, PL: plkhong@hkucc.hku.hken_HK
dc.identifier.emailMcAlonan, GM: mcalonan@hkucc.hku.hken_HK
dc.identifier.authorityCheung, C=rp01574en_HK
dc.identifier.authorityChua, SE=rp00438en_HK
dc.identifier.authorityKhong, PL=rp00467en_HK
dc.identifier.authorityMcAlonan, GM=rp00475en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1469-7610.2009.02086.xen_HK
dc.identifier.pmid19490309en_HK
dc.identifier.scopuseid_2-s2.0-69249122419en_HK
dc.identifier.hkuros162124en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-69249122419&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume50en_HK
dc.identifier.issue9en_HK
dc.identifier.spage1102en_HK
dc.identifier.epage1112en_HK
dc.identifier.eissn1469-7610-
dc.identifier.isiWOS:000269264800008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCheung, C=7202061845en_HK
dc.identifier.scopusauthoridChua, SE=7201550427en_HK
dc.identifier.scopusauthoridCheung, V=7005439024en_HK
dc.identifier.scopusauthoridKhong, PL=7006693233en_HK
dc.identifier.scopusauthoridTai, KS=7101738949en_HK
dc.identifier.scopusauthoridWong, TKW=7403531187en_HK
dc.identifier.scopusauthoridHo, TP=7402460680en_HK
dc.identifier.scopusauthoridMcAlonan, GM=6603123011en_HK
dc.identifier.citeulike5657758-

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