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Comparative Study
| Published: March 11, 2025
A Comparative Study of Neuro-Cognition, Social Cognition and Functional Behaviour between Schizophrenic Patients and the Normal Population
PhD Scholar, School of Psychology, Gujarat University, Gujarat, India
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Head & Associate Professor, Department of Psychology, Shree Sahajanand Arts & Commerce College, Ahmedabad, Gujarat, India
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Associate Professor, National Forensic Science University (NFSU)
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Assistant Professor, National Forensic Science University (NFSU)
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Assistant Professor, National Forensic Science University (NFSU)
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DIP: 18.01.174.20251301
DOI: 10.25215/1301.174
ABSTRACT
The aim of the present study was to understand and compare the effects of neurocognition, social cognitive profile, and work behaviour patterns on interpersonal relationships between people suffering from schizophrenia and the normal population. A total sample of 50 participants: 25 patients suffering from schizophrenia recruited from the hospital for mental health, Ahmadabad and 25 normal people collected from the community in Ahmedabad. Schizophrenic participants were screened using PANSS. The NIMHANS Neuropsychological Battery is used to measure cognitive functioning; the Edinburg Social Cognition Test is used to measure social cognition; and the Work Behaviour Inventory is used to measure functional behaviour. For analysis, descriptive statistics, the t test, and correlation were used. The result found that in neuro-cognition as well as functional behaviour, normal groups performed significantly better when compared to schizophrenic groups. Similarly, in social cognition, normal groups performed better than schizophrenic groups. Additionally, the present study found positive relationships between each and every domain, which we discuss in detail. The results of the present study support previous research showing that normal populations performed better than schizophrenic populations.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2025, Chaudhary, N.V., Pandya, Y.R., Tripathi, R., Sharmanath, P., & Parmar, V.
Received: February 27, 2025; Revision Received: March 07, 2025; Accepted: March 11, 2025
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.174.20251301
10.25215/1301.174
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Published in Volume 13, Issue 1, January-March, 2025
