scholarly journals Individuals at ultra-high risk of psychosis and first-degree relatives of patients with schizophreniaexperience impaired family functionality and social support deficit in comparison to healthy controls

2021 ◽  
pp. 152263
Author(s):  
Xiao-Yan He ◽  
Cai-Lan Hou ◽  
Zhuo-Hui Huang ◽  
Ying-Hua Huang ◽  
Ji-Jie Zhang ◽  
...  
2013 ◽  
Vol 88 (2) ◽  
pp. 149-156 ◽  
Author(s):  
Mirjam J. van Tricht ◽  
Emma C. Harmsen ◽  
Johannes H.T.M. Koelman ◽  
Lo J. Bour ◽  
Thérèse A. van Amelsvoort ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S93-S93
Author(s):  
Irina Falkenberg ◽  
Huai-Hsuan Tseng ◽  
Gemma Modinos ◽  
Barbara Wild ◽  
Philip McGuire ◽  
...  

Abstract Background Studies indicate that people with schizophrenia and first-episode psychosis experience deficits in their ability to accurately detect and display emotions through facial expressions, and that functioning and symptoms are associated with these deficits. This study aims to examine how emotion recognition and facial emotion expression are related to functioning and symptoms in a sample of individuals at ultra-high risk, first-episode psychosis and healthy controls. Methods During fMRI, we combined the presentation of emotional faces with the instruction to react with facial movements predetermined and assigned. 18 patients with first-episode psychosis (FEP), 18 individuals at ultra high risk of psychosis (UHR) and 22 healthy controls (HCs) were examined while viewing happy, sad, or neutral faces and were instructed to simultaneously move the corners of their mouths either (a). upwards or (b). downwards, or (c). to refrain from movement. The subjects’ facial movements were recorded with an MR-compatible video camera. Results Neurofunctional and behavioral response to emotional faces were measured. Analyses have only recently commenced and are ongoing. Full results of the clinical and functional impact of behavioral and neuroimaging results will be presented at the meeting. Discussion Increased knowledge about abnormalities in emotion recognition and behaviour as well as their neural correlates and their impact on clinical measures and functional outcome can inform the development of novel treatment approaches to improve social skills early in the course of schizophrenia and psychotic disorders.


2019 ◽  
Vol 273 ◽  
pp. 296-302 ◽  
Author(s):  
Zhuo-Hui Huang ◽  
Cai-Lan Hou ◽  
Ying-Hua Huang ◽  
Xiao-Yan He ◽  
Qian-Wen Wang ◽  
...  

2020 ◽  
Vol 30 (09) ◽  
pp. 2050047
Author(s):  
Lubin Wang ◽  
Xianbin Li ◽  
Yuyang Zhu ◽  
Bei Lin ◽  
Qijing Bo ◽  
...  

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.


2009 ◽  
Vol 173 (3) ◽  
pp. 163-169 ◽  
Author(s):  
Henning Witthaus ◽  
Christian Kaufmann ◽  
Georg Bohner ◽  
Seza Özgürdal ◽  
Yehonala Gudlowski ◽  
...  

2019 ◽  
Vol 208 ◽  
pp. 293-299
Author(s):  
Miranda Sollychin ◽  
Bradley N. Jack ◽  
Andrea Polari ◽  
Ayaka Ando ◽  
G. Paul Amminger ◽  
...  

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