Effects of disease duration and antipsychotics on brain age in schizophrenia
Alejandro Roig-Herrero, Luis M. San-Jos\'e-Revuelta, Rafael Navarro-Gonz\'alez, Rodrigo de Luis-Garc\'ia, Vicente Molina

TL;DR
This study investigates whether accelerated brain aging in schizophrenia is influenced by disease duration or antipsychotic medication, finding that medication alone does not account for increased brain age gaps, highlighting the need for longitudinal research.
Contribution
It compares brain age gaps in first-episode psychosis patients and controls using two models, and assesses medication effects, providing evidence that medication does not solely explain accelerated brain aging.
Findings
Accelerated brain aging is observed in schizophrenia but not explained by antipsychotic medication.
Two different models consistently show no significant difference in brain age gap due to medication.
Longitudinal studies are needed to understand the progression of brain aging in schizophrenia.
Abstract
Accelerated brain aging has been consistently reported in patients with schizophrenia. Over the past decade, these findings have been replicated using the Brain Age paradigm, which applies machine learning techniques to estimate brain age from neuroimaging data. This approach yields a single index, the Brain Age Gap, defined as the difference between predicted and chronological age. Nevertheless, both the progressive nature of this phenomenon and the potential role of antipsychotic medication remain unclear. To investigate its progression, we compared the Brain Age Gap between individuals experiencing a first episode of psychosis and healthy controls using ANCOVA, adjusting for age, sex, body mass index, and estimated total intracranial volume. To enhance the robustness of our findings, we employed two distinct models: a transformer-inspired model based on harmonized volumetric brain…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Schizophrenia research and treatment · Neural dynamics and brain function
