State-dependent reallocation of cognitive resources is impaired in schizophrenia and may be underlined by alterationsin brain local-connectivity. Increasing evidence suggests local connectivity reductions from rest to taskin healthy individuals, while insufficient information is available for schizophrenia spectrum. Resting-state and stop-signal task fMRI scans of 107 healthy controls and 32 patients with DSM-IV-TR schizophrenia or schizoaffective disorder were analyzed. As primary aim we measured within-group shifts in local-connectivity from rest to task as voxel-wise Regional Homogeneity (ReHo-shift). Secondary aims were to test: i) Between-groups differences in ReHo-rest, ReHo-task and ReHo-shift; ii) ReHo covariations with task performance (=shorter reaction times) and severity of symptoms (SAPS/SANS scores). Age, sex, and education were accounted for as covariates. Motion, global-signal-regression, antipsychotic dosage and smoothing associations with ReHo were evaluated. Rest-to-task ReHo reductions occurred in both groups on a whole-brain level (False-Discovery-Rate p=0.05). Trends of greater ReHo reductions in patients versus controls were observed. Controls performed better than patients (p<0.001). ReHo negatively correlated with performance in both groups. ReHo-shift predicted worse performance in controls, but better performance in patients (uncorrected p=0.05). ReHo reductions correlated with severity of symptoms. State-dependent reconfigurations in local-connectivity provide new links between neurobiology and behavioral/clinical features of the schizophrenia spectrum.

(2022). State-dependent reductions of local brain connectivity in schizophrenia and their relation to performance and symptoms: a functional magnetic resonance imaging study [journal article - articolo]. In PSYCHIATRY RESEARCH. NEUROIMAGING. Retrieved from http://hdl.handle.net/10446/228429

State-dependent reductions of local brain connectivity in schizophrenia and their relation to performance and symptoms: a functional magnetic resonance imaging study

Scalabrini, Andrea;
2022

Abstract

State-dependent reallocation of cognitive resources is impaired in schizophrenia and may be underlined by alterationsin brain local-connectivity. Increasing evidence suggests local connectivity reductions from rest to taskin healthy individuals, while insufficient information is available for schizophrenia spectrum. Resting-state and stop-signal task fMRI scans of 107 healthy controls and 32 patients with DSM-IV-TR schizophrenia or schizoaffective disorder were analyzed. As primary aim we measured within-group shifts in local-connectivity from rest to task as voxel-wise Regional Homogeneity (ReHo-shift). Secondary aims were to test: i) Between-groups differences in ReHo-rest, ReHo-task and ReHo-shift; ii) ReHo covariations with task performance (=shorter reaction times) and severity of symptoms (SAPS/SANS scores). Age, sex, and education were accounted for as covariates. Motion, global-signal-regression, antipsychotic dosage and smoothing associations with ReHo were evaluated. Rest-to-task ReHo reductions occurred in both groups on a whole-brain level (False-Discovery-Rate p=0.05). Trends of greater ReHo reductions in patients versus controls were observed. Controls performed better than patients (p<0.001). ReHo negatively correlated with performance in both groups. ReHo-shift predicted worse performance in controls, but better performance in patients (uncorrected p=0.05). ReHo reductions correlated with severity of symptoms. State-dependent reconfigurations in local-connectivity provide new links between neurobiology and behavioral/clinical features of the schizophrenia spectrum.
articolo
Damiani, Stefano; Tarchi, Livio; La-Torraca-Vittori, Paolo; Scalabrini, Andrea; Castellini, Giovanni; Ricca, Valdo; Fusar-Poli, Paolo; Politi, Pierluigi
(2022). State-dependent reductions of local brain connectivity in schizophrenia and their relation to performance and symptoms: a functional magnetic resonance imaging study [journal article - articolo]. In PSYCHIATRY RESEARCH. NEUROIMAGING. Retrieved from http://hdl.handle.net/10446/228429
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