Aberrant single-subject morphological cerebellar connectome in chronic insomnia
Background: To systematically investigate the topological organisation of morphological networks of the cerebellum using structural MRI and examine their clinical relevance in chronic insomnia (CI). Methods: One hundred and one patients with CI and 102 healthy controls (HCs) were recruited in this s...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158223001833 |
| _version_ | 1797740840303460352 |
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| author | Yuqin Ma Shishun Fu Xi Ye Yuping Yang Yi Yin Guang Xu Mengchen Liu Guihua Jiang |
| author_facet | Yuqin Ma Shishun Fu Xi Ye Yuping Yang Yi Yin Guang Xu Mengchen Liu Guihua Jiang |
| author_sort | Yuqin Ma |
| collection | DOAJ |
| description | Background: To systematically investigate the topological organisation of morphological networks of the cerebellum using structural MRI and examine their clinical relevance in chronic insomnia (CI). Methods: One hundred and one patients with CI and 102 healthy controls (HCs) were recruited in this study. Individual morphological networks of the cerebellum were constructed based on regional grey matter volume, and topologically characterised using weighted graph theory-based network approaches. Between-group comparisons were performed using permutation tests, and Spearman’s correlation was used to examine the relationships between topological alterations and clinical variables. Results: Compared with HCs, patients with CI exhibited a lower normalised clustering coefficient. Locally, CI patients exhibited lower nodal efficiency in the cerebellar lobule VIIb and vermis regions, but higher nodal efficiency in the right cerebellar lobule VIIIa regions. No correlations were observed between network alterations and clinical variables. Conclusions: Individual morphological network analysis provides a new strategy for investigating cerebellar morphometric changes in CI, and our findings may have important implications in establishing diagnostic and categorical biomarkers. |
| first_indexed | 2024-03-12T14:18:12Z |
| format | Article |
| id | doaj.art-362f740d0c5442ca86614bfa352f75bc |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-03-12T14:18:12Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-362f740d0c5442ca86614bfa352f75bc2023-08-20T04:37:53ZengElsevierNeuroImage: Clinical2213-15822023-01-0139103492Aberrant single-subject morphological cerebellar connectome in chronic insomniaYuqin Ma0Shishun Fu1Xi Ye2Yuping Yang3Yi Yin4Guang Xu5Mengchen Liu6Guihua Jiang7Guangzhou Medical University, Guangzhou 51495, PR ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR ChinaInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510317, PR ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR ChinaDepartment of Neurology, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China; Corresponding author at: Guangdong Second Provincial General Hospital, No.466 Road XinGang, Guangzhou 510317, PR China.Background: To systematically investigate the topological organisation of morphological networks of the cerebellum using structural MRI and examine their clinical relevance in chronic insomnia (CI). Methods: One hundred and one patients with CI and 102 healthy controls (HCs) were recruited in this study. Individual morphological networks of the cerebellum were constructed based on regional grey matter volume, and topologically characterised using weighted graph theory-based network approaches. Between-group comparisons were performed using permutation tests, and Spearman’s correlation was used to examine the relationships between topological alterations and clinical variables. Results: Compared with HCs, patients with CI exhibited a lower normalised clustering coefficient. Locally, CI patients exhibited lower nodal efficiency in the cerebellar lobule VIIb and vermis regions, but higher nodal efficiency in the right cerebellar lobule VIIIa regions. No correlations were observed between network alterations and clinical variables. Conclusions: Individual morphological network analysis provides a new strategy for investigating cerebellar morphometric changes in CI, and our findings may have important implications in establishing diagnostic and categorical biomarkers.http://www.sciencedirect.com/science/article/pii/S2213158223001833Chronic insomniaCerebellumGraph theoryGrey matterMorphological network |
| spellingShingle | Yuqin Ma Shishun Fu Xi Ye Yuping Yang Yi Yin Guang Xu Mengchen Liu Guihua Jiang Aberrant single-subject morphological cerebellar connectome in chronic insomnia NeuroImage: Clinical Chronic insomnia Cerebellum Graph theory Grey matter Morphological network |
| title | Aberrant single-subject morphological cerebellar connectome in chronic insomnia |
| title_full | Aberrant single-subject morphological cerebellar connectome in chronic insomnia |
| title_fullStr | Aberrant single-subject morphological cerebellar connectome in chronic insomnia |
| title_full_unstemmed | Aberrant single-subject morphological cerebellar connectome in chronic insomnia |
| title_short | Aberrant single-subject morphological cerebellar connectome in chronic insomnia |
| title_sort | aberrant single subject morphological cerebellar connectome in chronic insomnia |
| topic | Chronic insomnia Cerebellum Graph theory Grey matter Morphological network |
| url | http://www.sciencedirect.com/science/article/pii/S2213158223001833 |
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