Gray matter matters: Cognitive stability and flexibility in schizophrenia spectrum disorder

心理学 灰色(单位) 精神分裂症谱 认知灵活性 精神分裂症(面向对象编程) 认知 认知心理学 灵活性(工程) 精神科 精神病 数学 医学 统计 放射科
作者
Florentine Herkströter,Anoushiravan Zahedi,Isabel Standke,Udo Dannlowski,Rebekka Lencer,Ricarda I. Schubotz,Ima Trempler
出处
期刊:Psychophysiology [Wiley]
标识
DOI:10.1111/psyp.14596
摘要

Cognitive dysfunction constitutes a core characteristic of schizophrenia spectrum disorders (SZ). Specifically, deficits in updating generative models (i.e., cognitive flexibility) and shielding against distractions (i.e., cognitive stability) are considered critical contributors to cognitive impairment in these patients. Here, we examined the structural integrity of frontostriatal networks and their associations with reduced cognitive stability and flexibility in SZ patients. In a sample of 21 patients diagnosed with SZ and 22 healthy controls, we measured gray matter volume (GMV) using structural MRI. Further, cognitive stability and flexibility were assessed using a switch-drift paradigm, quantifying the successful ignoring of distracters and detection of rule switches. Compared to controls, patients showed significantly smaller GMV in the whole brain and three predefined regions of interest: the medial prefrontal cortex (mPFC), inferior frontal gyrus (IFG), and caudate nucleus (CN). Notably, GMV in these areas positively correlated with correct rule-switch detection but not with ignoring rule-compatible drifts. Further, the volumetric differences between SZ patients and controls were statistically explainable by considering the behavioral performance in the switch-drift task. Our results indicate that morphological abnormalities in frontostriatal networks are associated with deficient flexibility in SZ patients and highlight the necessity of minimizing neurodevelopmental and progressive brain atrophy in this population.

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