henhaobio
Sign in

Psychiatry Research NeuroimagingNeurosciencePeer-reviewed journal article

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

Wiktor WięcławskiiD, Krzysztof BielskiiD, Martin JániiD, Marek BinderiD, Przemysław AdamczykiD

PDFDOIPreprint

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 is strongly correlated with the intensity of alogia, i.e. poverty of speech and reduction in spontaneous speech, demonstrated by patients. 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.

Citations
5
FWCI
1.21
Field percentile
top 24%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISForlim '24Sendi '21Itahashi '18Forlim '20Zarghami '23Jensen '26
78% semantic matchNeuroscience
Caroline Garcia Forlim, Leonie Klock, Jürgen Gallinat+1 more·Scientific Reports·Nov 1, 2024· 8 citations