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Article: Grey matter correlates of syndromes in schizophrenia: A semi-automated analysis of structural magnetic resonance images

TitleGrey matter correlates of syndromes in schizophrenia: A semi-automated analysis of structural magnetic resonance images
Authors
Issue Date1997
PublisherRoyal College of Psychiatrists. The Journal's web site is located at http://bjp.rcpsych.org/
Citation
British Journal Of Psychiatry, 1997, v. 170 MAY, p. 406-410 How to Cite?
AbstractBackground: Symptoms in schizophrenia cluster into syndromes, each of which may be associated with a particular pattern of cerebral blood flow. We sought to investigate whether these syndromes are also related to neuroanatomical changes. Method: A semi-automated method was used to examine structural magnetic resonance images in 12 patients with schizophrenia. The relationship between the relative regional grey matter volume and ratings of the syndromes of psychomotor poverty, disorganization and reality distortion was investigated. Results: There was a significant negative correlation between psychomotor poverty score and the relative volume of the left ventro- medial prefrontal grey matter, and a significant positive correlation between disorganization and the relative volumes of the hippocampus, and the parahippocampal/fusiform gyrus bilaterally. Conclusion: The correlation between psychomotor poverty and left prefrontal grey matter volume resembles that previously seen with prefrontal blood flow in the same patients, suggesting that this functional abnormality is related to an underlying anatomical change.
Persistent Identifierhttp://hdl.handle.net/10722/81527
ISSN
2023 Impact Factor: 8.7
2023 SCImago Journal Rankings: 2.717
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChua, SEen_HK
dc.contributor.authorWright, ICen_HK
dc.contributor.authorPoline, JBen_HK
dc.contributor.authorLiddle, PFen_HK
dc.contributor.authorMurray, RMen_HK
dc.contributor.authorFrackowiak, RSJen_HK
dc.contributor.authorFriston, KJen_HK
dc.contributor.authorMcGuire, PKen_HK
dc.date.accessioned2010-09-06T08:18:52Z-
dc.date.available2010-09-06T08:18:52Z-
dc.date.issued1997en_HK
dc.identifier.citationBritish Journal Of Psychiatry, 1997, v. 170 MAY, p. 406-410en_HK
dc.identifier.issn0007-1250en_HK
dc.identifier.urihttp://hdl.handle.net/10722/81527-
dc.description.abstractBackground: Symptoms in schizophrenia cluster into syndromes, each of which may be associated with a particular pattern of cerebral blood flow. We sought to investigate whether these syndromes are also related to neuroanatomical changes. Method: A semi-automated method was used to examine structural magnetic resonance images in 12 patients with schizophrenia. The relationship between the relative regional grey matter volume and ratings of the syndromes of psychomotor poverty, disorganization and reality distortion was investigated. Results: There was a significant negative correlation between psychomotor poverty score and the relative volume of the left ventro- medial prefrontal grey matter, and a significant positive correlation between disorganization and the relative volumes of the hippocampus, and the parahippocampal/fusiform gyrus bilaterally. Conclusion: The correlation between psychomotor poverty and left prefrontal grey matter volume resembles that previously seen with prefrontal blood flow in the same patients, suggesting that this functional abnormality is related to an underlying anatomical change.en_HK
dc.languageengen_HK
dc.publisherRoyal College of Psychiatrists. The Journal's web site is located at http://bjp.rcpsych.org/en_HK
dc.relation.ispartofBritish Journal of Psychiatryen_HK
dc.titleGrey matter correlates of syndromes in schizophrenia: A semi-automated analysis of structural magnetic resonance imagesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0007-1250&volume=170&spage=406&epage=410&date=1997&atitle=Grey+matter+correlates+of+syndromes+in+schizophrenia:+a+semi-automated+analysis+of+structural+magnetic+resonance+imagesen_HK
dc.identifier.emailChua, SE: sechua@hku.hken_HK
dc.identifier.authorityChua, SE=rp00438en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1192/bjp.170.5.406-
dc.identifier.pmid9307687en_HK
dc.identifier.scopuseid_2-s2.0-0030985841en_HK
dc.identifier.hkuros23156en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0030985841&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume170en_HK
dc.identifier.issueMAYen_HK
dc.identifier.spage406en_HK
dc.identifier.epage410en_HK
dc.identifier.isiWOS:A1997WY05900004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChua, SE=7201550427en_HK
dc.identifier.scopusauthoridWright, IC=7202889221en_HK
dc.identifier.scopusauthoridPoline, JB=7003479971en_HK
dc.identifier.scopusauthoridLiddle, PF=7007085436en_HK
dc.identifier.scopusauthoridMurray, RM=35406239400en_HK
dc.identifier.scopusauthoridFrackowiak, RSJ=35400736400en_HK
dc.identifier.scopusauthoridFriston, KJ=36080215500en_HK
dc.identifier.scopusauthoridMcGuire, PK=7101880438en_HK
dc.identifier.issnl0007-1250-

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