Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia

• Published in: Schizophrenia research Vol. 271; pp. 394 - 401
• Main Authors: Feng, Shixuan, Huang, Yuanyuan, Li, Hehua, Zhou, Sumiao, Ning, Yuping, Han, Wei, Zhang, Ziyun, Liu, Chenyu, Li, Junhao, Zhong, Liangda, Wu, Kai, Wu, Fengchun
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.09.2024
• Subjects: Adult; Cerebellar Nuclei - diagnostic imaging; Cerebellar Nuclei - physiopathology; Cerebellum; Cerebrum - diagnostic imaging; Cerebrum - physiopathology; Cognitive Dysfunction - diagnostic imaging; Cognitive Dysfunction - etiology; Cognitive Dysfunction - physiopathology; Cognitive performance; Connectome; Dentate nucleus; Dynamic effective connectivity; Female; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Psychiatric/Mental Health; Schizophrenia; Schizophrenia - diagnostic imaging; Schizophrenia - pathology; Schizophrenia - physiopathology; Cerebellum; Schizophrenia; Cognitive performance; Dynamic effective connectivity; Dentate nucleus
• ISSN: 0920-9964; 1573-2509; 1573-2509
• DOI: 10.1016/j.schres.2024.05.003

Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that functional connectivity between the cerebellar dorsal dentate nucleus (dDN) and cerebrum is correlated with psychotic symptoms, and processing speed in SZ patients. Dynamic effective connectivity (dEC) is a reliable indicator of brain functional status. However, the dEC between the dDN and cerebrum in patients with SZ remains largely unknown. Resting-state functional MRI data, symptom severity, and cognitive performance were collected from 74 SZ patients and 53 healthy controls (HC). Granger causality analysis and sliding time window methods were used to calculate dDN-based dEC maps for all subjects, and k-means clustering was performed to obtain several dEC states. Finally, between-group differences in dynamic effective connectivity variability (dECV) and clinical correlations were obtained using two-sample t-tests and correlation analysis. We detected four dEC states from the cerebrum to the right dDN (IN states) and three dEC states from the right dDN to the cerebrum (OUT states), with SZ group having fewer transitions in the OUT states. SZ group had increased dECV from the right dDN to the right middle frontal gyrus (MFG) and left lingual gyrus (LG). Correlations were found between the dECV from the right dDN to the right MFG and symptom severity and between the dECV from the right dDN to the left LG and working memory performance. This study reveals a dynamic causal relationship between cerebellar dDN and the cerebrum in SZ and provides new evidence for the involvement of cerebellar neural circuits in neurocognitive functions in SZ.