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 (p(FDR) = 0.005). The same measure correlated positively with both social and occupational functioning (both p(FDR) = 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.

Antonucci, L., Fazio, L., Pergola, G., Blasi, G., Stolfa, G., Di Palo, P., et al. (2022). Joint structural-functional magnetic resonance imaging features are associated with diagnosis and real-world functioning in patients with schizophrenia. SCHIZOPHRENIA RESEARCH, 240, 193-203 [10.1016/j.schres.2021.12.029].

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

Siracusano, A;Di Lorenzo, G;Niolu, C
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 (p(FDR) = 0.005). The same measure correlated positively with both social and occupational functioning (both p(FDR) = 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.
2022
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/25 - PSICHIATRIA
English
Structural MRI
Resting-state fMRI
Degree centrality
Schizophrenia
Real-world functioning
jICA
Antonucci, L., Fazio, L., Pergola, G., Blasi, G., Stolfa, G., Di Palo, P., et al. (2022). Joint structural-functional magnetic resonance imaging features are associated with diagnosis and real-world functioning in patients with schizophrenia. SCHIZOPHRENIA RESEARCH, 240, 193-203 [10.1016/j.schres.2021.12.029].
Antonucci, L; Fazio, L; Pergola, G; Blasi, G; Stolfa, G; Di Palo, P; Mucci, A; Rocca, P; Brasso, C; di Giannantonio, M; Giordano, G; Monteleone, P; Pompili, M; Siracusano, A; Bertolino, A; Galderisi, S; Maj, M; Italian Network for Research on, P; Di Lorenzo, G; Niolu, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/309303
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