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

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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.

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International Journal of Clinical And Health Psychology, 2023, vol. 23, num.4, 100395

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cc-by-nc-nd (c) sociación Española de Psicología Conductual (AEPC), 2023

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Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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