Asociace metabolických faktorů a strukturálních změn mozku u psychotických poruch

Kolenič, Marián

Background: Schizophrenia (SZ) and bipolar disorders (BD) are often correctly diagnosed only years after the initial manifestations. Brain imaging may provide support for early differential diagnosis, but is complicated by marked heterogeneity of results between studies. Obesity, dyslipidemia and insulin resistance (IR) are frequent in psychiatric disorders and may contribute to brain alterations/heterogeneity. We studied BD and SZ in different stages of illness and specifically investigated the effects of metabolic parameters on brain structure and function. Methods: In Study 1 we used machine learning algorithm to estimate the individual brain age from MRI scans of 120 participants with first episode schizophrenia (FES) and 114 controls. We calculated the brain age gap (BrainAGE) score by subtracting the chronological age from the brain age. We also performed voxel-based morphometry (VBM) study to localize obesity or psychosis related pathology. In Study 2, we acquired biochemical and cognitive measures from 100 euthymic BD patients and explored the association between IR and memory. In Study 3, we explored differences in BrainAGE in early stages of SZ (43 participants) or BD (96 offspring of BD parents) and healthy controls (HC). In Study 4, we performed MRI cerebellar volume analyses on 648...

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