Neural correlates of positive and negative symptoms through the illness course: an fMRI study in early psychosis and chronic schizophrenia.

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ID: 58965
2019
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Abstract
Psychotic illness is associated with cognitive control deficits and abnormal recruitment of neural circuits subserving cognitive control. It is unclear to what extent this dysfunction underlies the development and/or maintenance of positive and negative symptoms typically observed in schizophrenia. In this study we compared fMRI activation on a standard Stroop task and its relationship with positive and negative symptoms in early psychosis (EP, N = 88) and chronic schizophrenia (CHR-SZ, N = 38) patients. CHR-SZ patients showed reduced frontal, striatal, and parietal activation across incongruent and congruent trials compared to EP patients. Higher positive symptom severity was associated with reduced activation across both trial types in supplementary motor area (SMA), middle temporal gyrus and cerebellum in EP, but not CHR-SZ patients. Higher negative symptom severity was associated with reduced cerebellar activation in EP, but not in CHR-SZ patients. A negative correlation between negative symptoms and activation in SMA and precentral gyrus was observed in EP patients and in CHR-SZ patients. The results suggest that the neural substrate of positive symptoms changes with illness chronicity, and that cognitive control related neural circuits may be most relevant in the initial development phase of positive symptoms. These findings also highlight a changing role for the cerebellum in the development and later maintenance of both positive and negative symptoms.
Reference Key
vanes2019neuralscientific Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Vanes, Lucy D;Mouchlianitis, Elias;Patel, Krisna;Barry, Erica;Wong, Katie;Thomas, Megan;Szentgyorgyi, Timea;Joyce, Dan;Shergill, Sukhwinder;
Journal Scientific reports
Year 2019
DOI
10.1038/s41598-019-51023-0
URL
Keywords
depression replication neuroticism bifactor measurement models interpersonal functioning

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