volume 133 pages 111016

Effectiveness of non-invasive vagal nerve stimulation in Parkinson’s disease: A comprehensive systematic review and meta-analysis

Publication typeJournal Article
Publication date2025-03-01
scimago Q2
wos Q3
SJR0.654
CiteScore3.9
Impact factor1.8
ISSN09675868, 15322653
Abstract
BackgroundParkinson’s disease (PD) is a debilitating neurodegenerative disorder characterized by movement impairments. Vagus nerve stimulation (VNS) is a non-invasive brain stimulation technique that has shown promise in treating various neurological conditions, including PD. This systematic review aimed to evaluate the existing evidence on the efficacy of nVNS in managing PD symptoms.
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Abouelmagd M. E. et al. Effectiveness of non-invasive vagal nerve stimulation in Parkinson’s disease: A comprehensive systematic review and meta-analysis // Journal of Clinical Neuroscience. 2025. Vol. 133. p. 111016.
GOST all authors (up to 50) Copy
Abouelmagd M. E., Yousef O., Ibrahim I. A., Elshahat A. Effectiveness of non-invasive vagal nerve stimulation in Parkinson’s disease: A comprehensive systematic review and meta-analysis // Journal of Clinical Neuroscience. 2025. Vol. 133. p. 111016.
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RIS Copy
TY - JOUR
DO - 10.1016/j.jocn.2024.111016
UR - https://linkinghub.elsevier.com/retrieve/pii/S0967586824005551
TI - Effectiveness of non-invasive vagal nerve stimulation in Parkinson’s disease: A comprehensive systematic review and meta-analysis
T2 - Journal of Clinical Neuroscience
AU - Abouelmagd, Moaz Elsayed
AU - Yousef, Obai
AU - Ibrahim, Ismail A.
AU - Elshahat, Ahmed
PY - 2025
DA - 2025/03/01
PB - Elsevier
SP - 111016
VL - 133
PMID - 39733649
SN - 0967-5868
SN - 1532-2653
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Abouelmagd,
author = {Moaz Elsayed Abouelmagd and Obai Yousef and Ismail A. Ibrahim and Ahmed Elshahat},
title = {Effectiveness of non-invasive vagal nerve stimulation in Parkinson’s disease: A comprehensive systematic review and meta-analysis},
journal = {Journal of Clinical Neuroscience},
year = {2025},
volume = {133},
publisher = {Elsevier},
month = {mar},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0967586824005551},
pages = {111016},
doi = {10.1016/j.jocn.2024.111016}
}