scholarly journals Cerebellar networks in individuals at ultra high-risk of psychosis: Impact on postural sway and symptom severity

2014 ◽  
Vol 35 (8) ◽  
pp. 4064-4078 ◽  
Author(s):  
Jessica A. Bernard ◽  
Derek J. Dean ◽  
Jerillyn S. Kent ◽  
Joseph M. Orr ◽  
Andrea Pelletier-Baldelli ◽  
...  
Keyword(s):  
High Risk ◽  
Symptom Severity ◽  
Postural Sway ◽  
Ultra High Risk

Discriminative Analysis of Symptom Severity and Ultra-High Risk of Schizophrenia Using Intrinsic Functional Connectivity

2020 ◽  
Vol 30 (09) ◽  
pp. 2050047
Author(s):  
Lubin Wang ◽  
Xianbin Li ◽  
Yuyang Zhu ◽  
Bei Lin ◽  
Qijing Bo ◽  
...  
Keyword(s):  
High Risk ◽  
Functional Connectivity ◽  
Symptom Severity ◽  
Large Scale ◽  
Brain Networks ◽  
Brain Regions ◽  
Support Vector ◽  
Healthy Controls ◽  
Intrinsic Functional Connectivity ◽  
Ultra High Risk

Past studies have consistently shown functional dysconnectivity of large-scale brain networks in schizophrenia. In this study, we aimed to further assess whether multivariate pattern analysis (MVPA) could yield a sensitive predictor of patient symptoms, as well as identify ultra-high risk (UHR) stage of schizophrenia from intrinsic functional connectivity of whole-brain networks. We first combined rank-based feature selection and support vector machine methods to distinguish between 43 schizophrenia patients and 52 healthy controls. The constructed classifier was then applied to examine functional connectivity profiles of 18 UHR individuals. The classifier indicated reliable relationship between MVPA measures and symptom severity, with higher classification accuracy in more severely affected schizophrenia patients. The UHR subjects had classification scores falling between those of healthy controls and patients, suggesting an intermediate level of functional brain abnormalities. Moreover, UHR individuals with schizophrenia-like connectivity profiles at baseline presented higher rate of conversion to full-blown illness in the follow-up visits. Spatial maps of discriminative brain regions implicated increases of functional connectivity in the default mode network, whereas decreases of functional connectivity in the cerebellum, thalamus and visual areas in schizophrenia. The findings may have potential utility in the early diagnosis and intervention of schizophrenia.

scholarly journals Cannabis use and symptom severity in individuals at ultra high risk for psychosis: a meta-analysis

2017 ◽  
Vol 136 (1) ◽  
pp. 5-15 ◽  
Author(s):  
R. Carney ◽  
J. Cotter ◽  
J. Firth ◽  
T. Bradshaw ◽  
A. R. Yung
Keyword(s):  
High Risk ◽  
Symptom Severity ◽  
Meta Analysis ◽  
Cannabis Use ◽  
Ultra High Risk
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