التفاصيل البيبلوغرافية
| العنوان: |
Resting-State Brain Network Deficits in Multiple Sclerosis Participants: Evidence from Electroencephalography and Graph Theoretical Analysis. |
| المؤلفون: |
Jouzizadeh M; Department of Physics, Babol Noshirvani University of Technology, Babol, Iran., Ghaderi AH; Department of Psychology and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada., Cheraghmakani H; Department of Neurology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran., Baghbanian SM; Department of Neurology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran., Khanbabaie R; Department of Physics, Babol Noshirvani University of Technology, Babol, Iran.; Department of Physics, I.K. Barber School of Arts and Sciences, University of British Columbia, Kelowna, British Columbia, Canada. |
| المصدر: |
Brain connectivity [Brain Connect] 2021 Jun; Vol. 11 (5), pp. 359-367. Date of Electronic Publication: 2021 Mar 29. |
| نوع المنشور: |
Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101550313 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2158-0022 (Electronic) Linking ISSN: 21580014 NLM ISO Abbreviation: Brain Connect Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: New Rochelle, NY : Mary Ann Liebert, Inc. |
| مواضيع طبية MeSH: |
Multiple Sclerosis*/diagnostic imaging, Brain/diagnostic imaging ; Brain Mapping ; Electroencephalography ; Humans ; Magnetic Resonance Imaging |
| مستخلص: |
Background: Multiple sclerosis (MS) is a chronic inflammatory disease leading to demyelination and axonal loss in the central nervous system that causes focal lesions of gray and white matter. However, the functional impairments of brain networks in this disease are still unspecified and need to be clearer. Materials and Methods: In the present study, we investigate the resting-state brain network impairments for MS participants in comparison to a normal group using electroencephalography (EEG) and graph theoretical analysis with a source localization method. Thirty-four age- and gender-matched participants from each MS group and normal group participated in this study. We recorded 5 min of EEG in the resting-state eyes open condition for each participant. One min (15 equal 4-sec artifact-free segments) of the EEG signals were selected for each participant, and the Low-Resolution Electromagnetic Tomography software was employed to calculate the functional connectivity among whole cortical regions in six frequency bands (delta, theta, alpha, beta1, beta2, and beta3). Graph theoretical analysis was used to calculate the clustering coefficient ( CL ), betweenness centrality ( BC ), shortest path length ( SPL ), and small-world propensity ( SWP ) for weighted connectivity matrices. Nonparametric permutation tests were utilized to compare these measures between groups. Results: Significant differences between the MS group and the normal group in the average of BC and SWP were found in the alpha band. The significant differences in the BC were spread over all lobes. Conclusion: These results suggest that the resting-state brain network for the MS group is disrupted in local and global scales, and EEG has the capability of revealing these impairments. |
| فهرسة مساهمة: |
Keywords: EEG; graph theoretical analysis; lagged coherence; multiple sclerosis; sLORETA |
| تواريخ الأحداث: |
Date Created: 20210329 Date Completed: 20211025 Latest Revision: 20211025 |
| رمز التحديث: |
20221213 |
| DOI: |
10.1089/brain.2020.0857 |
| PMID: |
33780635 |
| قاعدة البيانات: |
MEDLINE |
