WIECLAWSKI, Wiktor, Krzysztof BIELSKI, Martin JÁNI, Marek BINDER and Przemyslaw ADAMCZYK. Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia. Psychiatry Research: Neuroimaging. CLARE: ELSEVIER IRELAND LTD, 2024, vol. 345, December 2024, p. 1-6. ISSN 0925-4927. Available from: https://dx.doi.org/10.1016/j.pscychresns.2024.111883.
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Basic information
Original name Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia
Authors WIECLAWSKI, Wiktor (616 Poland), Krzysztof BIELSKI (616 Poland), Martin JÁNI (703 Slovakia, belonging to the institution), Marek BINDER (616 Poland) and Przemyslaw ADAMCZYK (616 Poland).
Edition Psychiatry Research: Neuroimaging, CLARE, ELSEVIER IRELAND LTD, 2024, 0925-4927.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30215 Psychiatry
Country of publisher Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.300 in 2022
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.pscychresns.2024.111883
UT WoS 001309486700001
Keywords in English Schizophrenia; fMRI; Somatomotor network; Cerebellum; Negative symptoms
Tags 14110222, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 23/9/2024 12:12.
Abstract
Recent fMRI resting-state findings show aberrant functional connectivity within somatomotor network (SMN) in schizophrenia. Moreover, functional connectivity aberrations of the motor system are often reported to be related to the severity of psychotic symptoms. Thus, it is important to validate those findings and confirm their relationship with psychopathology. Therefore, we decided to take an entirely data-driven approach in our fMRI resting-state study of 30 chronic schizophrenia outpatients and 30 matched control subjects. We used independent component analysis (ICA), dual regression, and seed-based connectivity analysis. We found reduced functional connectivity within SMN in schizophrenia patients compared to controls and SMN hypoconnectivity with the cerebellum in schizophrenia patients. The latter was strongly correlated with the severity of alogia, one of the main psychotic symptoms, i.e. poverty of speech and reduction in spontaneous speech,. Our results are consistent with the recent knowledge about the role of the cerebellum in cognitive functioning and its abnormalities in psychiatric disorders, e.g. schizophrenia. In conclusion, the presented results, for the first time clearly showed the involvement of the cerebellum hypoconnectivity with SMN in the persistence and severity of alogia symptoms in schizophrenia.
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