Dysconnectivity of the cerebellum and somatomotor network
correlates with the severity of alogia in chronic schizophrenia

J 2024

Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia

WIECLAWSKI, Wiktor, Krzysztof BIELSKI, Martin JÁNI, Marek BINDER, Przemyslaw ADAMCZYK et. al.

Základní údaje

Originální název

Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia

Autoři

WIECLAWSKI, Wiktor (616 Polsko), Krzysztof BIELSKI (616 Polsko), Martin JÁNI (703 Slovensko, domácí), Marek BINDER (616 Polsko) a Przemyslaw ADAMCZYK (616 Polsko)

Vydání

Psychiatry Research: Neuroimaging, CLARE, ELSEVIER IRELAND LTD, 2024, 0925-4927

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30215 Psychiatry

Stát vydavatele

Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.300 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1016/j.pscychresns.2024.111883

UT WoS

001309486700001

Klíčová slova anglicky

Schizophrenia; fMRI; Somatomotor network; Cerebellum; Negative symptoms

Štítky

14110222, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 9. 2024 12:12, Mgr. Tereza Miškechová

Anotace

V originále

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.

Citovat

WIECLAWSKI, Wiktor, Krzysztof BIELSKI, Martin JÁNI, Marek BINDER a 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, roč. 345, December 2024, s. 1-6. ISSN 0925-4927. Dostupné z: https://dx.doi.org/10.1016/j.pscychresns.2024.111883.

@article{2436018,
   author = {Wieclawski, Wiktor and Bielski, Krzysztof and Jáni, Martin and Binder, Marek and Adamczyk, Przemyslaw},
   article_location = {CLARE},
   article_number = {December 2024},
   doi = {http://dx.doi.org/10.1016/j.pscychresns.2024.111883},
   keywords = {Schizophrenia; fMRI; Somatomotor network; Cerebellum; Negative symptoms},
   language = {eng},
   issn = {0925-4927},
   journal = {Psychiatry Research: Neuroimaging},
   title = {Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia},
   url = {https://www.sciencedirect.com/science/article/pii/S0925492724001069?via%3Dihub},
   volume = {345},
   year = {2024}
}

TY  - JOUR
ID  - 2436018
AU  - Wieclawski, Wiktor - Bielski, Krzysztof - Jáni, Martin - Binder, Marek - Adamczyk, Przemyslaw
PY  - 2024
TI  - Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia
JF  - Psychiatry Research: Neuroimaging
VL  - 345
IS  - December 2024
SP  - 1-6
EP  - 1-6
PB  - ELSEVIER IRELAND LTD
SN  - 09254927
KW  - Schizophrenia
KW  - fMRI
KW  - Somatomotor network
KW  - Cerebellum
KW  - Negative symptoms
UR  - https://www.sciencedirect.com/science/article/pii/S0925492724001069?via%3Dihub
N2  - 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.
ER  -

WIECLAWSKI, Wiktor, Krzysztof BIELSKI, Martin JÁNI, Marek BINDER a Przemyslaw ADAMCZYK. Dysconnectivity of the cerebellum and somatomotor network correlates with the severity of alogia in chronic schizophrenia. \textit{Psychiatry Research: Neuroimaging}. CLARE: ELSEVIER IRELAND LTD, 2024, roč.~345, December 2024, s.~1-6. ISSN~0925-4927. Dostupné z: https://dx.doi.org/10.1016/j.pscychresns.2024.111883.

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