期刊
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
卷 271, 期 8, 页码 1475-1485出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00406-021-01300-9
关键词
Neurological soft signs; Ultra-high risk; Grey matter volume; Voxel-based morphometry; Transition
资金
- National Health and Medical Research Council (NHMRC), Australia [970598, 981112, 350241]
- Ian Potter Foundation, Melbourne
- Woods Family Trust, Melbourne
- Victorian Health Promotion Foundation, Melbourne
- NHMRC Senior Principal Research Fellowships [628386, 1105825]
- Brain and Behavior Research Foundation (NARSAD) Distinguished Investigator Award [18722]
- NHMRC Senior Principal Research Fellowship
- Brain and Behavior Research Foundation (NARSAD) Distinguished Investigator Award (US)
- NHMRC Principal Research Fellowship [1136829]
- National Institute of Health Research (NIHR) Senior Fellowship Award
- China Scholarship Council
- NHMRC Early Career Fellowship [1088785]
- NHMRC Senior Research Fellowship [1137687]
- NHMRC Career Development Fellowship [1148793]
- NHMRC Investigator Grant [1177370]
- Brain and Behavior Research Foundation (NARSAD) Young Investigator Award [21660]
- University of Melbourne Dame Kate Campbell Fellowship
- National Key Research and Development Programme [2016YFC0906402]
- National Health and Medical Research Council of Australia [1177370, 1136829] Funding Source: NHMRC
The study found a relationship between severity of neurological soft signs (NSS) and grey matter volume (GMV) in individuals at ultra-high risk for psychosis, particularly those who later transitioned to a psychotic disorder. While NSS showed little overall variation with GMV, sensory integration deficits were associated with lower GMV in specific brain areas in those who later developed psychosis.
Increased severity of neurological soft signs (NSS) in schizophrenia have been associated with abnormal brain morphology in cerebello-thalamo-cortical structures, but it is unclear whether similar structures underlie NSS prior to the onset of psychosis. The present study investigated the relationship between severity of NSS and grey matter volume (GMV) in individuals at ultra-high risk for psychosis (UHR) stratified for later conversion to psychosis. Structural T1-weighted MRI scans were obtained from 56 antipsychotic-naive UHR individuals and 35 healthy controls (HC). The UHR individuals had follow-up data (mean follow-up: 5.2 years) to ascertain clinical outcome. Using whole-brain voxel-based morphometry, the relationship between NSS and GMV at baseline was assessed in UHR, HC, as well as individuals who later transitioned (UHR-P, n = 25) and did not transition (UHR-NP, n = 31) to psychosis. NSS total and subscale scores except motor coordination were significantly higher in UHR compared to HC. Higher signs were also found in UHR-P, but not UHR-NP. Total NSS was not associated with GMV in the whole sample or in each group. However, in UHR-P individuals, greater deficits in sensory integration was associated with lower GMV in the left cerebellum, right insula, and right middle frontal gyrus. In conclusion, NSS are present in UHR individuals, particularly those who later transitioned to a psychotic disorder. While these signs show little overall variation with GMV, the association of sensory integration deficits with lower GMV in UHR-P suggests that certain brain areas may be implicated in the development of specific neurological abnormalities in the psychosis prodrome.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据