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Abstract #1725

Investigation of resting state dynamics of cerebellar functional connectivity in schizophrenia

Shukti Ramkiran1,2,3, Ravichandran Rajkumar1,2,3, N. Jon Shah*1,4,5,6, and Irene Neuner*1,2,3
1Institute of Neuroscience and Medicine - 4 (INM-4), Forschungszentrum Jülich, Jülich, Germany, 2Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, 3Center for Computational Life Sciences, RWTH Aachen University, Aachen, Germany, 4Institute of Neuroscience and Medicine 11 (INM - 11), Forschungszentrum Jülich, Jülich, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany, 6Department of Nuclear Medicine, RWTH Aachen University, Aachen, Germany

Synopsis

Keywords: Psychiatric Disorders, Psychiatric Disorders, Schizophrenia, Dynamic Functional Connectivity, Cerebellum

Motivation: The complex nature of schizophrenia and its unclear pathophysiology drive our research. We aim to delve into altered brain communication, especially the cerebellum, during transitions between mental states for deeper insights.

Goal(s): Our goal was to investigate cerebellar communication dynamics in schizophrenia to better understand its pathophysiology.

Approach: We used dynamic ICA analysis to study resting-state cerebello-cortical temporal dynamics.

Results: We observed implications in the dynamics of the cerebello-frontal and cerebello-occipital connections potentially indicative of higher social sensitivity and deficits in cognitive inhibition, and highlighting the role of the cerebellum as modulator between different brain circuits.

Impact: The identification of resting state temporal dynamic changes in cerebello-frontal and cerebello-occipital circuits in schizophrenia provides crucial pathophysiological insights, inspiring further research on the role of the cerebellum as a brain circuit modulator, promising advancements in treatment strategies and outcomes.

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