schizophrenic psychosis
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2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Rekha Sahu ◽  
Satya Ranjan Dash ◽  
Lleuvelyn A. Cacha ◽  
R. R. Poznanski ◽  
Shantipriya Parida

Schizophrenia ◽  
2020 ◽  
pp. 28-60
Author(s):  
Andrew Crider

Schizophrenia ◽  
2020 ◽  
pp. 28-60
Author(s):  
Andrew Crider

2020 ◽  
Vol 288 ◽  
pp. 113001 ◽  
Author(s):  
M. Fischer ◽  
A.N. Coogan ◽  
F. Faltraco ◽  
J. Thome

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S146-S147
Author(s):  
Arija Maat ◽  
Sebastian Therman ◽  
Hanna Swaab ◽  
Tim Ziermans

Abstract Background Autism and schizophrenia spectrum disorders both represent severely disabling neurodevelopmental disorders with marked impairments in social functioning. Despite an increased incidence of psychosis in autism, and substantial overlap in symptoms and cognitive markers, it is unclear whether such phenotypes are specifically related to risk for psychosis or perhaps reflect more general, idiosyncratic autism traits. Attenuated positive symptoms (APS) currently constitute the best and most-replicated clinical predictors of schizophrenic psychosis, and are common in clinical youth with and without autism. The aims of this study were to test the hypothesis that facial affect processing is impaired in adolescents with APS and to explore whether such deficits are more indicative of psychotic or autistic phenotypes on a categorical and dimensional level. Methods Fifty-three adolescents with APS and 81 typically developing controls (aged 12–18) were included. The APS group consisted of adolescents with (n = 21) and without (n = 32) a diagnosis of autism spectrum disorder. Facial affect recognition and ‘lower-level’ cognitive skills, namely pattern and face recognition, were assessed with the Amsterdam Neuropsychological Tasks. For associations with schizotypal and autistic-like traits the Schizotypal Personality Questionnaire and Social Communication questionnaire were used and one-dimensional factor scores were generated with confirmatory factor analysis. Results Our preliminary findings suggest that APS in adolescents is not associated with impairments in pattern, face, or emotion recognition. However, the APS group with autism spectrum disorder generally showed slower reaction times for face/emotional stimuli and they were significantly worse in recognizing fearful expressions than APS participants without autism spectrum disorder and controls. There were no dimensional correlations with schizotypal traits and marginal correlations between autistic-like traits and speed of recognizing faces. Discussion Contrary to our expectations, APS demonstrated limited use in identifying cognitive deficits typical to schizophrenic psychosis. A more autistic-like profile may be characterized by slower reaction times to facial stimuli, suggesting that more complicated and dynamic social cognitive stimuli have a better chance of discerning between autistic and psychotic-like phenotypes.


2020 ◽  
Vol 26 ◽  
pp. 102232
Author(s):  
Aleksandra Aleksandrowicz ◽  
Florence Hagenmuller ◽  
Helene Haker ◽  
Karsten Heekeren ◽  
Anastasia Theodoridou ◽  
...  

2019 ◽  
Vol 43 (4) ◽  
pp. 158-166 ◽  
Author(s):  
Giorgianna L. Passerello ◽  
James E. Hazelwood ◽  
Stephen Lawrie

Aims and methodSchizophrenia is a psychotic disorder that is stereotypically stigmatised as untreatable and associated with violence. Several authorities have suggested that changing the name, for example to psychosis, would reduce such stigmatisation. We aimed to compare attitudes to schizophrenia and psychosis on Twitter to see if psychosis was associated with less negative attitudes. Tweets containing the terms ‘schizophrenia’, ‘schizophrenic’, ‘psychosis’ or ‘psychotic’ were collected on www.twitter.com and were captured with NCapture. On NVivo, tweets were coded into categories based on user type, tweet content, attitude and stigma type by two independent raters. We compared the content and attitudes of tweets referring to schizophrenia/schizophrenic and psychosis/psychotic.ResultsA total of 1120 tweets referring to schizophrenia/schizophrenic and 1080 referring to psychosis/psychotic were identified over two 7-day periods; 424 original tweets for schizophrenia and 416 original tweets for psychosis were included in the analysis. Psychosis was significantly more commonly included in tweets expressing negative attitudes (n=131, 31.5%) than schizophrenia (n=41, 9.7%) (χ² = 237.03, P < 0.0001). Of the personal opinions or dyadic interactions, 125 (53.4%) in the psychosis data set were stigmatising, compared with 33 (24.6%) of those in the schizophrenia set (χ² = 44.65, P < 0.0001).Clinical implicationsThe terms psychosis/psychotic are associated with a significantly higher number of tweets with negative content than schizophrenia/schizophrenic. Together with other evidence, this suggests that changing the name of schizophrenia to psychosis will not reduce negative attitudes toward the condition.Declaration of interestS.L. has received personal fees from Otsuka and Sunovion, and personal and research fees from Janssen.


2017 ◽  
Vol 45 (124) ◽  
pp. 253-270
Author(s):  
Torsten Andreasen ◽  
Knut Ove Eliassen ◽  
Frederik Tygstrup

Robert Harris’ novel The Fear Index (2012) takes place over 24 hours on May 6 2010 where the life of eccentric former physicist Alex Hoffmann – now hedge fund owner and developer of trading algorithms – is threatened while the market collapses. It is unclear whether the trader suffers from a schizophrenic psychosis or whether his algorithm VIXAL-4 has actually overpowered him. The fund’s portfolio is “all out of shape” and Hoffmann’s personality “had grown lopsided”, as the algorithmic monster prevails via the complete breakdown of both the market and its maker. Via an analysis of The Fear Index and its references to romantic literature, the article examines the consequences of trade via algorithmic operations beyond human perception and cognition for the relation between cultural imagination and the future.


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