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Longitudinal MRI study links brain morphometry to treatment in schizophrenia spectrum disorders

Longitudinal MRI study links brain morphometry to treatment in schizophrenia spectrum disorders
Photo by KOMMERS / Unsplash
Key Takeaway
Consider that longitudinal MRI associations with treatment and symptoms are observational and do not imply causation.

This is an observational cohort study using longitudinal structural MRI data from 350 individuals with schizophrenia spectrum disorders and 193 healthy controls, totaling 543 subjects from 1293 MRI data points over up to 20 years. The study examined morphometric similarity network dynamics (MIND) in relation to treatment duration, medication, and psychiatric symptoms.

The authors report that MIND features were longitudinally associated with treatment duration and medication in schizophrenia spectrum disorders. These associations were co-localized with hierarchical axes of cortical organization and schizophrenia epicenters. Psychiatric symptoms were associated with alterations in structural similarity, which were also related to treatment duration.

Effect sizes, absolute numbers, and p-values or confidence intervals were not reported in the abstract. The study did not report adverse events or discontinuations.

Limitations include the absence of detailed methodological information in the abstract and the observational nature of the data, which precludes causal inference. The authors acknowledge that certainty was not quantified in the abstract.

Practice relevance is limited to advancing understanding of how brain organization, treatment duration, and medication may shape clinical symptoms in schizophrenia spectrum disorders. Findings should not be generalized beyond the studied population.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Schizophrenia spectrum disorders (SSD) are characterized by altered brain structure, reflecting widespread dysconnectivity across brain-specific networks. However, the role of hierarchical organization on cortical morphometric networks in shaping clinical outcomes over the course of the disease remains unclear. Connectome-derived gradients have increasingly been used to investigate spatial transitions in brain organization. Here, we computed cortical and subcortical Morphometric INverse Divergence (MIND) similarity networks from 1293 structural MRI data of 193 healthy controls (HC) and 350 individuals with SSD followed for up to 20 years. MIND features were calculated for each subject-specific network by computing regional averages and performing gradient decomposition. We found that MIND was longitudinally associated with treatment duration and medication in SSD. These associations were co-localized with hierarchical axes of cortical organization and schizophrenia epicenters. Moreover, psychiatric symptoms were associated with these alterations in structural similarity, which were also related to treatment duration. Collectively, these findings advance our understanding of how brain organization, treatment duration, and medication shape clinical symptoms throughout the course of SSD.
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