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Article: Is there an anatomical endophenotype for neurodevelopmental disorders? A review of dual disorder anatomical likelihood estimation (ALE) meta-analyses of grey matter volumes

TitleIs there an anatomical endophenotype for neurodevelopmental disorders? A review of dual disorder anatomical likelihood estimation (ALE) meta-analyses of grey matter volumes
Authors
KeywordsALE
autism
bipolar
grey matter
meta-analysis
schizophrenia
Issue Date2011
PublisherScience China Press. The Journal's web site is located at http://www.springerlink.com/content/1001-6538/
Citation
Chinese Science Bulletin, 2011, v. 56 n. 32, p. 3376-3381 How to Cite?
AbstractThe term "neurodevelopmental disorder" broadly encompasses conditions thought to arise early in development and includes schizophrenia, bipolar disorder and autism among others. These conditions share a number of genetic and environmental risk factors postulated to lead to common difficulties in socio-emotional processing, communication and cognitive function. The alternative position is that, while the same traits are affected across these conditions, the nature or direction in which they are modified may be distinct. MRI studies provide a rapidly expanding and rich database which we propose can be used to contribute to this debate. Anatomical likelihood estimation (ALE) is a method of meta-analysis applied to voxel-based MRI studies. We have adapted this method to explore the extent to which schizophrenia and bipolar disorder and schizophrenia and autism share a common brain structural phenotype. We will review this work here and discuss whether there is sufficient other evidence to justify a common framework for further research into the inter-relatedness of such conditions. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/171972
ISSN
2015 Impact Factor: 1.789
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMcAlonan, GMen_HK
dc.contributor.authorYu, KKen_HK
dc.contributor.authorChan, RCKen_HK
dc.contributor.authorChua, SEen_HK
dc.contributor.authorCheung, Cen_HK
dc.date.accessioned2012-10-30T06:19:02Z-
dc.date.available2012-10-30T06:19:02Z-
dc.date.issued2011en_HK
dc.identifier.citationChinese Science Bulletin, 2011, v. 56 n. 32, p. 3376-3381en_HK
dc.identifier.issn1001-6538en_HK
dc.identifier.urihttp://hdl.handle.net/10722/171972-
dc.description.abstractThe term "neurodevelopmental disorder" broadly encompasses conditions thought to arise early in development and includes schizophrenia, bipolar disorder and autism among others. These conditions share a number of genetic and environmental risk factors postulated to lead to common difficulties in socio-emotional processing, communication and cognitive function. The alternative position is that, while the same traits are affected across these conditions, the nature or direction in which they are modified may be distinct. MRI studies provide a rapidly expanding and rich database which we propose can be used to contribute to this debate. Anatomical likelihood estimation (ALE) is a method of meta-analysis applied to voxel-based MRI studies. We have adapted this method to explore the extent to which schizophrenia and bipolar disorder and schizophrenia and autism share a common brain structural phenotype. We will review this work here and discuss whether there is sufficient other evidence to justify a common framework for further research into the inter-relatedness of such conditions. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.en_HK
dc.languageengen_US
dc.publisherScience China Press. The Journal's web site is located at http://www.springerlink.com/content/1001-6538/en_HK
dc.relation.ispartofChinese Science Bulletinen_HK
dc.subjectALEen_HK
dc.subjectautismen_HK
dc.subjectbipolaren_HK
dc.subjectgrey matteren_HK
dc.subjectmeta-analysisen_HK
dc.subjectschizophreniaen_HK
dc.titleIs there an anatomical endophenotype for neurodevelopmental disorders? A review of dual disorder anatomical likelihood estimation (ALE) meta-analyses of grey matter volumesen_HK
dc.typeArticleen_HK
dc.identifier.emailMcAlonan, GM: mcalonan@hkucc.hku.hken_HK
dc.identifier.emailChua, SE: sechua@hku.hken_HK
dc.identifier.emailCheung, C: charlton@hkucc.hku.hken_HK
dc.identifier.authorityMcAlonan, GM=rp00475en_HK
dc.identifier.authorityChua, SE=rp00438en_HK
dc.identifier.authorityCheung, C=rp01574en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11434-011-4743-1en_HK
dc.identifier.scopuseid_2-s2.0-80355144469en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80355144469&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume56en_HK
dc.identifier.issue32en_HK
dc.identifier.spage3376en_HK
dc.identifier.epage3381en_HK
dc.identifier.isiWOS:000296641800004-
dc.publisher.placeChinaen_HK
dc.identifier.scopusauthoridMcAlonan, GM=6603123011en_HK
dc.identifier.scopusauthoridYu, KK=36706689100en_HK
dc.identifier.scopusauthoridChan, RCK=35725165500en_HK
dc.identifier.scopusauthoridChua, SE=7201550427en_HK
dc.identifier.scopusauthoridCheung, C=7202061845en_HK
dc.identifier.citeulike9821282-

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