Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia
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 (d...
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Published in | Schizophrenia research Vol. 271; pp. 394 - 401 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.09.2024
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Online Access | Get full text |
ISSN | 0920-9964 1573-2509 1573-2509 |
DOI | 10.1016/j.schres.2024.05.003 |
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Abstract | 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. |
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AbstractList | 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. 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.BACKGROUNDSchizophrenia (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.METHODSResting-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.RESULTSWe 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.CONCLUSIONSThis 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. AbstractBackgroundSchizophrenia (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. MethodsResting-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. ResultsWe 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. ConclusionsThis 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. |
Author | Han, Wei Wu, Fengchun Li, Junhao Wu, Kai Ning, Yuping Liu, Chenyu Feng, Shixuan Zhang, Ziyun Zhou, Sumiao Li, Hehua Zhong, Liangda Huang, Yuanyuan |
Author_xml | – sequence: 1 givenname: Shixuan surname: Feng fullname: Feng, Shixuan organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 2 givenname: Yuanyuan surname: Huang fullname: Huang, Yuanyuan organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 3 givenname: Hehua surname: Li fullname: Li, Hehua organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 4 givenname: Sumiao surname: Zhou fullname: Zhou, Sumiao organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 5 givenname: Yuping surname: Ning fullname: Ning, Yuping organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 6 givenname: Wei surname: Han fullname: Han, Wei organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 7 givenname: Ziyun surname: Zhang fullname: Zhang, Ziyun organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 8 givenname: Chenyu surname: Liu fullname: Liu, Chenyu organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 9 givenname: Junhao surname: Li fullname: Li, Junhao organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 10 givenname: Liangda surname: Zhong fullname: Zhong, Liangda organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 11 givenname: Kai surname: Wu fullname: Wu, Kai email: kaiwu@scut.edu.cn organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China – sequence: 12 givenname: Fengchun surname: Wu fullname: Wu, Fengchun email: 13580380071@163.com organization: Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China |
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Keywords | Cerebellum Schizophrenia Cognitive performance Dynamic effective connectivity Dentate nucleus |
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Snippet | Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that functional connectivity between the cerebellar dorsal... AbstractBackgroundSchizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that functional connectivity between the... |
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SubjectTerms | 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 |
Title | Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia |
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