Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders
Background: Cognitive impairments are found in 80% of patients with schizophrenia. The severity of these impairments significantly affects the recovery of patients in terms of social functioning.Network analysis is the most suitable approach for studying complex relationships among cognitive functio...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Schizophrenia Research: Cognition |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215001321000202 |
| _version_ | 1819115577648611328 |
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| author | Maria Karyakina Alexander Shmukler |
| author_facet | Maria Karyakina Alexander Shmukler |
| author_sort | Maria Karyakina |
| collection | DOAJ |
| description | Background: Cognitive impairments are found in 80% of patients with schizophrenia. The severity of these impairments significantly affects the recovery of patients in terms of social functioning.Network analysis is the most suitable approach for studying complex relationships among cognitive functions. Aim: To build a network model of neurocognitive functions for identifying both the severity of impairments in individual functions and the vertices central to the whole model. Methods: The study included 115 patients with schizophrenia and schizophrenia spectrum disorders and a comparison group, comprising 99 healthy subjects. The severity of clinical symptoms was assessed using the PANSS, CDSS and YMRS, and the SAS and BARS for extrapyramidal symptoms and akathisia. Subjects from the comparison group completed screening questionnaires QIDS-SR and PQ-16. Neurocognitive functions were assessed using the BACS. Results: The patients performed worse than the healthy subjects on all tests. In the cognitive network models of healthy subjects, fewer connections were revealed and the central place was occupied by working memory, the functioning of which depends upon everyday functioning in the community. In the cognitive models of patients there was a greater connectedness of neurocognitive functions. Furthermore, the central place of the networks in patients is occupied by the processing speed, evaluated primarily using the Symbol Coding test, which reflects the dependence of patient activity on lower-order functions. Conclusion: The processing speed deficit is key to schizophrenia and it may be considered a potential endophenotype of the disease. |
| first_indexed | 2024-12-22T05:03:24Z |
| format | Article |
| id | doaj.art-91b8dfdf5ef744eaae96c5dcb6d650a3 |
| institution | Directory Open Access Journal |
| issn | 2215-0013 |
| language | English |
| last_indexed | 2024-12-22T05:03:24Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Schizophrenia Research: Cognition |
| spelling | doaj.art-91b8dfdf5ef744eaae96c5dcb6d650a32022-12-21T18:38:11ZengElsevierSchizophrenia Research: Cognition2215-00132021-12-0126100213Network analysis of cognitive deficit in patients with schizophrenia spectrum disordersMaria Karyakina0Alexander Shmukler1Corresponding author.; Moscow Research Institute of Psychiatry – the branch of FSBI NMRC PN n.a. V.P.Serbsky of the Ministry of Health of Russian Federation, Russian FederationMoscow Research Institute of Psychiatry – the branch of FSBI NMRC PN n.a. V.P.Serbsky of the Ministry of Health of Russian Federation, Russian FederationBackground: Cognitive impairments are found in 80% of patients with schizophrenia. The severity of these impairments significantly affects the recovery of patients in terms of social functioning.Network analysis is the most suitable approach for studying complex relationships among cognitive functions. Aim: To build a network model of neurocognitive functions for identifying both the severity of impairments in individual functions and the vertices central to the whole model. Methods: The study included 115 patients with schizophrenia and schizophrenia spectrum disorders and a comparison group, comprising 99 healthy subjects. The severity of clinical symptoms was assessed using the PANSS, CDSS and YMRS, and the SAS and BARS for extrapyramidal symptoms and akathisia. Subjects from the comparison group completed screening questionnaires QIDS-SR and PQ-16. Neurocognitive functions were assessed using the BACS. Results: The patients performed worse than the healthy subjects on all tests. In the cognitive network models of healthy subjects, fewer connections were revealed and the central place was occupied by working memory, the functioning of which depends upon everyday functioning in the community. In the cognitive models of patients there was a greater connectedness of neurocognitive functions. Furthermore, the central place of the networks in patients is occupied by the processing speed, evaluated primarily using the Symbol Coding test, which reflects the dependence of patient activity on lower-order functions. Conclusion: The processing speed deficit is key to schizophrenia and it may be considered a potential endophenotype of the disease.http://www.sciencedirect.com/science/article/pii/S2215001321000202NeurocognitionSchizophrenia spectrum disordersNetwork analysisProcessing speedWorking memory |
| spellingShingle | Maria Karyakina Alexander Shmukler Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders Schizophrenia Research: Cognition Neurocognition Schizophrenia spectrum disorders Network analysis Processing speed Working memory |
| title | Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| title_full | Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| title_fullStr | Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| title_full_unstemmed | Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| title_short | Network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| title_sort | network analysis of cognitive deficit in patients with schizophrenia spectrum disorders |
| topic | Neurocognition Schizophrenia spectrum disorders Network analysis Processing speed Working memory |
| url | http://www.sciencedirect.com/science/article/pii/S2215001321000202 |
| work_keys_str_mv | AT mariakaryakina networkanalysisofcognitivedeficitinpatientswithschizophreniaspectrumdisorders AT alexandershmukler networkanalysisofcognitivedeficitinpatientswithschizophreniaspectrumdisorders |