Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/211640
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dc.contributor.authorRuiz-Torras, Silvia-
dc.contributor.authorGudayol Ferré, Esteve-
dc.contributor.authorFernández-Vazquez, Oscar-
dc.contributor.authorCañete-Massé, Cristina-
dc.contributor.authorPeró, Maribel-
dc.contributor.authorGuàrdia-Olmos, Joan, 1958--
dc.date.accessioned2024-05-21T19:27:12Z-
dc.date.available2024-05-21T19:27:12Z-
dc.date.issued2023-07-21-
dc.identifier.issn1697-2600-
dc.identifier.urihttp://hdl.handle.net/2445/211640-
dc.description.abstractBackground: In recent years several meta-analyses regarding resting-state functional connectivity in patients with schizophrenia have been published. The authors have used different data analysis techniques: regional homogeneity, seed-based data analysis, independent component analysis, and amplitude of low frequencies. Hence, we aim to perform a meta-analysis to identify connectivity networks with different activation patterns between people diagnosed with schizophrenia and healthy controls using voxel-wise analysis. Method: We collected primary studies exploring whole brain connectivity by functional magnetic resonance imaging at rest in patients with schizophrenia compared with healthy controls. We identified 25 studies included high-quality studies that included 1285 patients with schizophrenia and 1279 healthy controls. Results: The results indicate hypoactivation in the right precentral gyrus and the left superior temporal gyrus of patients with schizophrenia compared with healthy controls. Conclusions: These regions have been linked with some clinical symptoms usually present in Plea with schizophrenia, such as auditory verbal hallucinations, formal thought disorder, and the comprehension and production of gestures.-
dc.format.extent11 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier España-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.ijchp.2023.100395-
dc.relation.ispartofInternational Journal of Clinical And Health Psychology, 2023, vol. 23, num.4, 100395-
dc.relation.urihttps://doi.org/10.1016/j.ijchp.2023.100395-
dc.rightscc-by-nc-nd (c) sociación Española de Psicología Conductual (AEPC), 2023-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.sourceArticles publicats en revistes (Psicologia Social i Psicologia Quantitativa)-
dc.subject.classificationImatges per ressonància magnètica-
dc.subject.classificationEsquizofrènia-
dc.subject.classificationNeurobiologia-
dc.subject.otherMagnetic resonance imaging-
dc.subject.otherSchizophrenia-
dc.subject.otherNeurobiology-
dc.titleHypoconnectivity networks in schizophrenia patients: A voxel-wise meta-analysis of Rs-fMRI-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec741543-
dc.date.updated2024-05-21T19:27:17Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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