Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by-nc-nd (c) sociación Española de Psicología Conductual (AEPC), 2023
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/211640

Hypoconnectivity networks in schizophrenia patients: A voxel-wise meta-analysis of Rs-fMRI

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

Background: 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.

Citació

Citació

RUIZ-TORRAS, Silvia, GUDAYOL FERRÉ, Esteve, FERNÁNDEZ-VAZQUEZ, Oscar, CAÑETE-MASSÉ, Cristina, PERÓ, Maribel, GUÀRDIA-OLMOS, Joan. Hypoconnectivity networks in schizophrenia patients: A voxel-wise meta-analysis of Rs-fMRI. _International Journal of Clinical And Health Psychology_. 2023. Vol. 23, núm. 4, pàgs. 100395. [consulta: 21 de gener de 2026]. ISSN: 1697-2600. [Disponible a: https://hdl.handle.net/2445/211640]

Exportar metadades

JSON - METS

Compartir registre