Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study
The neuropsychiatric symptoms are common in Wilson's disease (WD) patients. However, it remains unclear about the associated functional brain networks. In this study, source localization-based functional connectivity analysis of close-eye resting-state electroencephalography (EEG) were implemen...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
|
| Series: | Neurobiology of Disease |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0969996124002924 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846162795747344384 |
|---|---|
| author | Ru-Kai Chen Chan Zhang Jian-Wei Lin Wu-Xiang Shi Yu-Rong Li Wan-Jin Chen Nai-Qing Cai |
| author_facet | Ru-Kai Chen Chan Zhang Jian-Wei Lin Wu-Xiang Shi Yu-Rong Li Wan-Jin Chen Nai-Qing Cai |
| author_sort | Ru-Kai Chen |
| collection | DOAJ |
| description | The neuropsychiatric symptoms are common in Wilson's disease (WD) patients. However, it remains unclear about the associated functional brain networks. In this study, source localization-based functional connectivity analysis of close-eye resting-state electroencephalography (EEG) were implemented to assess the characteristics of functional networks in 17 WD patients with neurological involvements and 17 healthy controls (HCs). The weighted phase-lag index (wPLI) was subsequently calculated in source space across five different frequency bands and the resulting connectivity matrix was transformed into a weighted graph whose structure was measured by five graphical analysis indicators, which were finally correlated with clinical scores. Compared to HCs, WD patients revealed disconnected sub-networks in delta, theta and alpha bands. Moreover, WD patients exhibited significantly reduced global clustering coefficients and small-worldness in all five frequency bands. In WD group, the severity of neurological symptoms and structural brain abnormalities were significantly correlated with disrupted functional networks. In conclusion, our study demonstrated that functional network deficits in WD can reflect the severity of their neurological symptoms and structural brain abnormalities. Resting-state EEG may be used as a marker of brain injury in WD. |
| format | Article |
| id | doaj-art-dbca2ffd15e7434b9f0d98ddef47f499 |
| institution | Kabale University |
| issn | 1095-953X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neurobiology of Disease |
| spelling | doaj-art-dbca2ffd15e7434b9f0d98ddef47f4992024-11-20T05:06:28ZengElsevierNeurobiology of Disease1095-953X2024-11-01202106692Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram studyRu-Kai Chen0Chan Zhang1Jian-Wei Lin2Wu-Xiang Shi3Yu-Rong Li4Wan-Jin Chen5Nai-Qing Cai6Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China; Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, ChinaDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450000, Henan, China; NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, ChinaDepartment of Infectious Diseases, Xianyou County General Hospital, Putian 351200, ChinaDepartment of Fujian Provincial Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou University, Fuzhou 350108, Fujian, China; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, ChinaDepartment of Fujian Provincial Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou University, Fuzhou 350108, Fujian, China; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, ChinaDepartment of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China; Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China; Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou 350005, China; Corresponding author at: Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China; Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China; Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou 350005, China; Corresponding author at: Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.The neuropsychiatric symptoms are common in Wilson's disease (WD) patients. However, it remains unclear about the associated functional brain networks. In this study, source localization-based functional connectivity analysis of close-eye resting-state electroencephalography (EEG) were implemented to assess the characteristics of functional networks in 17 WD patients with neurological involvements and 17 healthy controls (HCs). The weighted phase-lag index (wPLI) was subsequently calculated in source space across five different frequency bands and the resulting connectivity matrix was transformed into a weighted graph whose structure was measured by five graphical analysis indicators, which were finally correlated with clinical scores. Compared to HCs, WD patients revealed disconnected sub-networks in delta, theta and alpha bands. Moreover, WD patients exhibited significantly reduced global clustering coefficients and small-worldness in all five frequency bands. In WD group, the severity of neurological symptoms and structural brain abnormalities were significantly correlated with disrupted functional networks. In conclusion, our study demonstrated that functional network deficits in WD can reflect the severity of their neurological symptoms and structural brain abnormalities. Resting-state EEG may be used as a marker of brain injury in WD.http://www.sciencedirect.com/science/article/pii/S0969996124002924Wilson's diseaseFunctional connectivityResting-state electroencephalography |
| spellingShingle | Ru-Kai Chen Chan Zhang Jian-Wei Lin Wu-Xiang Shi Yu-Rong Li Wan-Jin Chen Nai-Qing Cai Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study Neurobiology of Disease Wilson's disease Functional connectivity Resting-state electroencephalography |
| title | Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study |
| title_full | Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study |
| title_fullStr | Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study |
| title_full_unstemmed | Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study |
| title_short | Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study |
| title_sort | altered cortical functional networks in wilson s disease a resting state electroencephalogram study |
| topic | Wilson's disease Functional connectivity Resting-state electroencephalography |
| url | http://www.sciencedirect.com/science/article/pii/S0969996124002924 |
| work_keys_str_mv | AT rukaichen alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT chanzhang alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT jianweilin alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT wuxiangshi alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT yurongli alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT wanjinchen alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy AT naiqingcai alteredcorticalfunctionalnetworksinwilsonsdiseasearestingstateelectroencephalogramstudy |