Progressive reduction of auditory evoked gamma in first episode schizophrenia but not clinical high risk individuals

2019 ◽  
Vol 208 ◽  
pp. 145-152 ◽  
Author(s):  
Naoya Oribe ◽  
Yoji Hirano ◽  
Elisabetta del Re ◽  
Larry J. Seidman ◽  
Raquelle I. Mesholam-Gately ◽  
...  
2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S246-S246
Author(s):  
Qijing Bo ◽  
Zhen Mao ◽  
Qing Tian ◽  
Weidi Li ◽  
Lei Zhao ◽  
...  

Abstract Background Many robust studies on prepulse inhibition (PPI) were conducted in patients with schizophrenia, and, increasingly, evidence has indicated individuals who are at clinical high risk for psychosis (CHR). The specificity of the PPI is insufficient with the classic paradigm. The current study investigated an improved perceived spatial separation PPI (PSSPPI) paradigm in CHR individuals, compared with patients of first-episode schizophrenia (FES) and healthy controls (HC), and the relationship between PPI, demographics, clinical characteristics, and cognitive performance. Methods We included 53 FESs, 55 CHR individuals, and 53 HCs. CHRs were rated on the Structured Interview for Prodromal Syndromes (SIPS). The prepulse inhibition measures of perceived spatial co-location PPI (PSCPPI) and PSSPPI paradigms were applied using 60- and 120-ms lead intervals. The MATRICS Consensus Cognitive Battery (MCCB) was used to assess neurocognitive functions. Results Compared with HC, the CHR group had lower PSSPPI level (ISI=60 ms, P<0.001; ISI=120 ms, P<.001). PSSPPI showed a large effect size (ES) between CHR and HC (ISI=60 ms, ES=0.91; ISI=120 ms, ES=0.98); on PSSPPI using 60-ms lead interval, ES ranged from small to large from CHR to FES. PPI deficits in CHR were unrelated to demographics, clinical characteristics, and cognition. Discussion CHR individuals show a sensorimotor gating deficit similar to FES patients on PSSPPI of the startle response, with greater sensitivity than the classic PPI paradigm. PSSPPI appears a promising objective approach for identifying individuals at clinical high risk for psychosis related to a high risk of transition to schizophrenia.


2018 ◽  
Vol 49 (11) ◽  
pp. 1929-1936 ◽  
Author(s):  
Angel On Ki Chu ◽  
Wing Chung Chang ◽  
Sherry Kit Wa Chan ◽  
Edwin Ho Ming Lee ◽  
Christy Lai Ming Hui ◽  
...  

AbstractBackgroundCognitive impairment is a core feature of schizophrenia and has been observed in both familial (FHR) and clinical high-risk (CHR) samples. Nonetheless, there is a paucity of research directly contrasting cognitive profiles in these two high-risk states and first-episode schizophrenia. This study aimed to compare cognitive functions in patients with first-episode schizophrenia-spectrum disorder (FES), their unaffected siblings (FHR), CHR individuals and healthy controls.MethodA standardized battery of cognitive assessments was administered to 69 FES patients, 71 help-seeking CHR individuals without family history of psychotic disorder, 50 FHR participants and 68 controls. FES and CHR participants were recruited from territory-wide early intervention service for psychosis in Hong Kong. CHR status was ascertained using Comprehensive Assessment of At-Risk Mental State.ResultsAmong four groups, FES patients displayed the largest global cognitive impairment and had medium-to-large deficits across all cognitive tests relative to controls. CHR and FHR participants significantly underperformed in most cognitive tests than controls. Among various cognitive tests, digit symbol coding demonstrated the greatest magnitude of impairment in FES and CHR groups compared with controls. No significant difference between two high-risk groups was observed in global cognition and all individual cognitive tests except digit symbol coding which showed greater deficits in CHR than in FHR participants.ConclusionClinical and familial risk groups experienced largely comparable cognitive impairment that was intermediate between FES and controls. Digit symbol coding may have the greatest discriminant capacity in distinguishing FES and CHR from healthy controls, and between two high-risk samples.


2018 ◽  
Vol 44 (suppl_1) ◽  
pp. S138-S138
Author(s):  
On Ki Chu ◽  
Wing Chung Chang ◽  
Hoi Ching Lee ◽  
Suet In Chan ◽  
Sanyin Chiu ◽  
...  

2014 ◽  
Vol 158 (1-3) ◽  
pp. 45-51 ◽  
Author(s):  
Kristen A. Woodberry ◽  
Rachael A. Serur ◽  
Sean B. Hallinan ◽  
Raquelle I. Mesholam-Gately ◽  
Anthony J. Giuliano ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S61-S62
Author(s):  
Zhao Lei ◽  
Bo Qijing ◽  
Mao Zhen ◽  
Wang Chuanyue

Abstract Background Cognitive dysfunction is acknowledged as one of the most pivotal symptoms in schizophrenia. Although many studies have assessed cognitive functioning in first-episode schizophrenia (FES), the pattern and severity of impairment across cognitive domains remain unclear. Moreover, few studies have directly compared the pattern of cognitive performance between FES and subjects at clinical high risk for psychosis (CHR). The objective of the study was to examine the cognitive profile of Chinese patients with FES and to compare that to the profile of patients with subjects at CHR and healthy controls (HC). Methods We applied the MATRICS Consensus Cognitive Battery to evaluate the cognitive function of 56 first-episode patients with schizophrenia aged between 19–32 years old), 42 cases of clinical high risk for psychosis (aged between 18–28 years old) and 62 healthy controls (aged between 21–29 years old).All data were analyzed using SPSS 20.0 statistical software. Results FES showed impaired performance across all MCCB domains relative to HC(P<0.05). With the exception of relative preservation of reasoning and problem solving (P=0.21) and social cognition (P=0.16)in CHR, the MCCB domain scores were similar in CHR and FES. Discussion The findings suggest that the pattern, magnitude, and distribution of severity of impairment in CHR were similar to that observed in FES. However, early in the illness, there may be relative sparing of reasoning and problem solving and social cognition.


2019 ◽  
Vol 14 (5) ◽  
pp. 1840-1849
Author(s):  
Guodong Wang ◽  
Hailong Lyu ◽  
Renrong Wu ◽  
Jianjun Ou ◽  
Furong Zhu ◽  
...  

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