Objective: Earlier evidence suggested that structural–functional covariation in schizophrenia patients (SCZ) is associated with cognition, a predictor of functioning. Moreover, studies suggested that functional brain abnormalities of schizophrenia may be related with structural network features. However, only few studies have investigated the relationship between structural–functional covariation and both diagnosis and functioning in SCZ. We hypothesized that structural–functional covariation networks associated with diagnosis are related to real-world functioning in SCZ. Methods: We performed joint Independent Component Analysis on T1 images and resting-state fMRI-based Degree Centrality (DC) maps from 89 SCZ and 285 controls. Structural-functional covariation networks in which we found a main effect of diagnosis underwent correlation analysis to investigate their relationship with functioning. Covariation networks showing a significant association with both diagnosis and functioning underwent univariate analysis to better characterize group-level differences at the spatial level. Results: A structural–functional covariation network characterized by frontal, temporal, parietal and thalamic structural estimates significantly covaried with temporo-parietal resting-state DC. Compared with controls, SCZ had reduced structural–functional covariation within this network (pFDR = 0.005). The same measure correlated positively with both social and occupational functioning (both pFDR = 0.042). Univariate analyses revealed grey matter deviations in SCZ compared with controls within this structural–functional network in hippocampus, cerebellum, thalamus, orbito-frontal cortex, and insula. No group differences were found in DC. Conclusions: Findings support the existence of a phenotypical association between group-level differences and inter-individual heterogeneity of functional deficits in SCZ. Given that only the joint structural/functional analysis revealed this association, structural–functional covariation may be a potentially relevant schizophrenia phenotype.

Joint structural-functional magnetic resonance imaging features are associated with diagnosis and real-world functioning in patients with schizophrenia

Antonucci L. A.
Conceptualization
;
Fazio L.
Writing – Original Draft Preparation
;
Pergola G.
Writing – Review & Editing
;
Blasi G.
Writing – Review & Editing
;
Stolfa G.
Formal Analysis
;
Di Palo P.
Data Curation
;
Monteleone P.
Writing – Review & Editing
;
Bertolino A.
Supervision
;
2022-01-01

Abstract

Objective: Earlier evidence suggested that structural–functional covariation in schizophrenia patients (SCZ) is associated with cognition, a predictor of functioning. Moreover, studies suggested that functional brain abnormalities of schizophrenia may be related with structural network features. However, only few studies have investigated the relationship between structural–functional covariation and both diagnosis and functioning in SCZ. We hypothesized that structural–functional covariation networks associated with diagnosis are related to real-world functioning in SCZ. Methods: We performed joint Independent Component Analysis on T1 images and resting-state fMRI-based Degree Centrality (DC) maps from 89 SCZ and 285 controls. Structural-functional covariation networks in which we found a main effect of diagnosis underwent correlation analysis to investigate their relationship with functioning. Covariation networks showing a significant association with both diagnosis and functioning underwent univariate analysis to better characterize group-level differences at the spatial level. Results: A structural–functional covariation network characterized by frontal, temporal, parietal and thalamic structural estimates significantly covaried with temporo-parietal resting-state DC. Compared with controls, SCZ had reduced structural–functional covariation within this network (pFDR = 0.005). The same measure correlated positively with both social and occupational functioning (both pFDR = 0.042). Univariate analyses revealed grey matter deviations in SCZ compared with controls within this structural–functional network in hippocampus, cerebellum, thalamus, orbito-frontal cortex, and insula. No group differences were found in DC. Conclusions: Findings support the existence of a phenotypical association between group-level differences and inter-individual heterogeneity of functional deficits in SCZ. Given that only the joint structural/functional analysis revealed this association, structural–functional covariation may be a potentially relevant schizophrenia phenotype.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/380389
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