Academic Journal
BOLD signal variability as potential new biomarker of functional neurological disorders
| العنوان: | BOLD signal variability as potential new biomarker of functional neurological disorders |
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| المؤلفون: | Ayla Schneider, Samantha Weber, Anna Wyss, Serafeim Loukas, Selma Aybek |
| المصدر: | NeuroImage: Clinical, Vol 43, Iss , Pp 103625- (2024) |
| بيانات النشر: | Elsevier, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Neurology. Diseases of the nervous system |
| مصطلحات موضوعية: | Conversion disorders, Longitudinal, Prognostic, Biomarker, Insula, Supplementary motor area, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429 |
| الوصف: | Background: Functional neurological disorder (FND) is a common neuropsychiatric condition with established diagnostic criteria and effective treatments but for which the underlying neuropathophysiological mechanisms remain incompletely understood. Recent neuroimaging studies have revealed FND as a multi-network brain disorder, unveiling alterations across limbic, self-agency, attentional/salience, and sensorimotor networks. However, the relationship between identified brain alterations and disease progression or improvement is less explored. Methods: This study included resting-state functional magnetic resonance imaging (fMRI) data from 79 patients with FND and 74 age and sex-matched healthy controls (HC). First, voxel-wise BOLD signal variability was computed for each participant and the group-wise difference was calculated. Second, we investigated the potential of BOLD signal variability to serve as a prognostic biomarker for clinical outcome in 47 patients who attended a follow-up measurement after eight months. Results: The results demonstrated higher BOLD signal variability in key networks, including the somatomotor, salience, limbic, and dorsal attention networks, in patients compared to controls. Longitudinal analysis revealed an increase in BOLD signal variability in the supplementary motor area (SMA) in FND patients who had an improved clinical outcome, suggesting SMA variability as a potential state biomarker. Additionally, higher BOLD signal variability in the left insula at baseline predicted a worse clinical outcome. Conclusion: This study contributes to the understanding of FND pathophysiology, emphasizing the dynamic nature of neural activity and highlighting the potential of BOLD signal variability as a valuable research tool. The insula and SMA emerge as promising regions for further investigation as prognostic and state markers. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2213-1582 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2213158224000640; https://doaj.org/toc/2213-1582 |
| DOI: | 10.1016/j.nicl.2024.103625 |
| URL الوصول: | https://doaj.org/article/f9b1687643fd400fad83f0936791fd8e |
| رقم الانضمام: | edsdoj.f9b1687643fd400fad83f0936791fd8e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22131582 |
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| DOI: | 10.1016/j.nicl.2024.103625 |