An MRI-based approach for the measurement of the dorsolateral prefrontal cortex in humans

dc.contributor.authorSanches, Marsal [UNIFESP]
dc.contributor.authorCaetano, Sheila
dc.contributor.authorNicoletti, Mark
dc.contributor.authorMonkul, E. Serap
dc.contributor.authorChen, Hua Hsuan
dc.contributor.authorHatch, John P.
dc.contributor.authorYeh, Ping-Hong
dc.contributor.authorMullis, Rachel L.
dc.contributor.authorKeshavan, Matcheri S.
dc.contributor.authorRajowska, Grazyna
dc.contributor.authorSoares, Jair C.
dc.contributor.institutionUniv N Carolina
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniv Texas Hlth Sci Ctr San Antonio
dc.contributor.institutionWayne State Univ
dc.contributor.institutionUniv Mississippi
dc.date.accessioned2016-01-24T13:58:38Z
dc.date.available2016-01-24T13:58:38Z
dc.date.issued2009-08-30
dc.description.abstractThe dorsolateral prefrontal cortex (DLPFC) has been implicated in the pathophysiology of mental disorders. Previous region-of-interest MRI studies that attempted to delineate this region adopted various landmarks and measurement techniques, with inconsistent results. We developed a new region-of-interest measurement method to obtain morphometric data of this region from structural MRI scans, taking into account knowledge from cytoarchitectonic postmortem studies and the large inter-individual variability of this region. MRI scans of 10 subjects were obtained, and DLPFC tracing was performed in the coronal plane by two independent raters using the semi-automated software Brains2. the intra-class correlation coefficients between two independent raters were 0.94 for the left DLPFC and 0.93 for the right DLPFC. the mean +/- S.D. DLPFC volumes were 9.23 +/- 2.35 ml for the left hemisphere and 8.20 +/- 2.08 ml for the right hemisphere. Our proposed method has high inter-rater reliability and is easy to implement, permitting the standardized measurement of this region for clinical research applications. (C) 2009 Elsevier Ireland Ltd. All rights reserved.en
dc.description.affiliationUniv N Carolina, Ctr Excellence Res & Treatment Bipolar Disorder, Dept Psychiat, Neurosci Hosp 10612, Chapel Hill, NC 27599 USA
dc.description.affiliationUniversidade Federal de São Paulo, Dept Psychiat, BR-04023900 São Paulo, Brazil
dc.description.affiliationUniv São Paulo, Dept Psychiat, BR-05311970 São Paulo, Brazil
dc.description.affiliationUniv Texas Hlth Sci Ctr San Antonio, Div Mood & Anxiety Disorders, Dept Psychiat, San Antonio, TX 78229 USA
dc.description.affiliationWayne State Univ, Dept Psychiat & Behav Neurosci, Detroit, MI USA
dc.description.affiliationUniv Mississippi, Med Ctr, Dept Psychiat & Human Behav, Jackson, MS 39216 USA
dc.description.affiliationUnifespUniversidade Federal de São Paulo, Dept Psychiat, BR-04023900 São Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipNARSAD
dc.description.sponsorshipVeterans Administration (VA Merit Review)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIDNARSAD: MH 68766
dc.description.sponsorshipIDNARSAD: MH 69774
dc.description.sponsorshipIDNARSAD: MH61578
dc.description.sponsorshipIDNARSAD: MH60451
dc.description.sponsorshipIDNARSAD: RR17701
dc.format.extent150-154
dc.identifierhttp://dx.doi.org/10.1016/j.pscychresns.2009.02.007
dc.identifier.citationPsychiatry Research-neuroimaging. Clare: Elsevier B.V., v. 173, n. 2, p. 150-154, 2009.
dc.identifier.doi10.1016/j.pscychresns.2009.02.007
dc.identifier.issn0925-4927
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/31748
dc.identifier.wosWOS:000269113000011
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofPsychiatry Research-neuroimaging
dc.rightsAcesso restrito
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.subjectNeuroimagingen
dc.subjectSchizophreniaen
dc.subjectBipolar disorderen
dc.subjectDepressionen
dc.titleAn MRI-based approach for the measurement of the dorsolateral prefrontal cortex in humansen
dc.typeArtigo
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