4.6 Article

Neurological Soft Signs Predict Auditory Verbal Hallucinations in Patients With Schizophrenia

期刊

SCHIZOPHRENIA BULLETIN
卷 47, 期 2, 页码 433-443

出版社

OXFORD UNIV PRESS
DOI: 10.1093/schbul/sbaa146

关键词

neurological soft signs; auditory verbal hallucinations; MRI; regional homogeneity; gray matter volume

资金

  1. German Research Foundation (DFG) [DFG HI 1928/2-1, WO 1883/2-1, WO 1883/6-1]

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The study found significant associations between neurological soft signs and auditory verbal hallucinations in schizophrenia patients, but not with delusions. The integration function of neurological soft signs was positively correlated with the severity of auditory verbal hallucinations. This suggests important interrelationships between sensorimotor integration abilities, brain structure and function, and auditory verbal hallucination symptom expression.
Neurological soft signs (NSS) are well documented in individuals with schizophrenia (SZ), yet so far, the relationship between NSS and specific symptom expression is unclear. We studied 76 SZ patients using magnetic resonance imaging (MRI) to determine associations between NSS, positive symptoms, gray matter volume (GMV), and neural activity at rest. SZ patients were hypothesisdriven stratified according to the presence or absence of auditory verbal hallucinations (AVH; n = 34 without vs 42 with AVH) according to the Brief Psychiatric Rating Scale. Structural MR1 data were analyzed using voxelbased morphometry, whereas intrinsic neural activity was investigated using regional homogeneity (ReHo) measures. Using ANCOVA, AVH patients showed significantly higher NSS in motor and integrative functions (IF) compared with non-hallucinating (nAVH) patients. Partial correlation revealed that NSS IF were positively associated with AVH symptom severity in AVH patients. Such associations were not confirmed for delusions. In regionof-interest ANCOVAs comprising the left middle and superior temporal gyri, right paracentral lobule, and right inferior parietal lobule (IPL) structure and function, significant differences between AVH and nAVH subgroups were not detected. In a binary logistic regression model, IF scores and right IPL ReHo were significant predictors of AVH. These data suggest significant interrelationships between sensorimotor integration abilities, brain structure and function, and AVH symptom expression.

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