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dc.contributor.authorMaggioni, Eleonora
dc.contributor.authorCrespo Facorro, Benedicto 
dc.contributor.authorNenadic, Igor
dc.contributor.authorBenedetti, Francesco
dc.contributor.authorGaser, Christian
dc.contributor.authorSauer, Heinrich
dc.contributor.authorRoiz Santiáñez, Roberto Miguel
dc.contributor.authorPoletti, Sara
dc.contributor.authorMarinelli, Veronica
dc.contributor.authorBellani, Marcella
dc.contributor.authorPerlini, Cinzia
dc.contributor.authorRuggeri, Mirella
dc.contributor.authorAltamura, A. Carlo
dc.contributor.authorDiwadkar, Vaibhav A.
dc.contributor.authorBrambilla, Paolo
dc.contributor.authorENPACT group
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-05-10T12:23:43Z
dc.date.available2018-05-10T12:23:43Z
dc.date.issued2017
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10902/13674
dc.description.abstractINTRODUCTION: Although schizophrenia (SCZ) and bipolar disorder (BD) share elements of pathology, their neural underpinnings are still under investigation. Here, structural Magnetic Resonance Imaging (MRI) data collected from a large sample of BD and SCZ patients and healthy controls (HC) were analyzed in terms of gray matter volume (GMV) using both voxel based morphometry (VBM) and a region of interest (ROI) approach. METHODS: The analysis was conducted on two datasets, Dataset1 (802 subjects: 243 SCZ, 176 BD, 383 HC) and Dataset2, a homogeneous subset of Dataset1 (301 subjects: 107 HC, 85 BD and 109 SCZ). General Linear Model analyses were performed 1) at the voxel-level in the whole brain (VBM study), 2) at the regional level in the anatomical regions emerged from the VBM study (ROI study). The GMV comparison across groups was integrated with the analysis of GMV correlates of different clinical dimensions. RESULTS: The VBM results of Dataset1 showed 1) in BD compared to HC, GMV deficits in right cingulate, superior temporal and calcarine cortices, 2) in SCZ compared to HC, GMV deficits in widespread cortical and subcortical areas, 3) in SCZ compared to BD, GMV deficits in insula and thalamus (p<0.05, cluster family wise error corrected). The regions showing GMV deficits in the BD group were mostly included in the SCZ ones. The ROI analyses confirmed the VBM results at the regional level in most of the clusters from the SCZ vs. HC comparison (p<0.05, Bonferroni corrected). The VBM and ROI analyses of Dataset2 provided further evidence for the enhanced GMV deficits characterizing SCZ. Based on the clinical-neuroanatomical analyses, we cannot exclude possible confounding effects due to 1) age of onset and medication in BD patients, 2) symptoms severity in SCZ patients. CONCLUSION: Our study reported both shared and specific neuroanatomical characteristics between the two disorders, suggesting more severe and generalized GMV deficits in SCZ, with a specific role for insula and thalamus.es_ES
dc.description.sponsorshipFunding: PB was partially funded by grants from the Ministry of Health (RF-2011-02352308). Grant support of EM was provided by the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602450 (IMAGEMEND Project). Part of the present study was conducted at the Hospital Universitario MarqueÂs de Valdecilla, University of Cantabria (Santander, Spain), under the following grant support: Carlos III Health Institute PI020499, PI050427, PI060507, Plan Nacional de Drugs Research Grant 2005- Orden sco/3246/2004, SENY Fundacio Research Grant CI 2005-0308007 and FundacioÂn MarqueÂs de Valdecilla API07/011. We wish to acknowledge IDIVAL Neuroimaging Unit for imaging acquirement and analysis. Part of the study was conducted at the Ospedale San Raffaele, Milano, supported by the European Union EU-FP7-HEALTH-F2-2008-222963 “MOODINFLAME” and by the Italian Ministry of Health RF-2011-02350980 projects. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.format.extent22 p.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Sciencees_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePLoS One. 2017 Nov 14;12(11):e0188000es_ES
dc.titleCommon and distinct structural features of schizophrenia and bipolar disorder: The European Network on Psychosis, Affective disorders and Cognitive Trajectory (ENPACT) studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://dx.doi.org/10.1371/journal.pone.0188000es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1371/journal.pone.0188000
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International