Systematic review: Resting state functional MRI as a biomarker for non-invasive brain stimulation in upper limb recovery post-stroke

Aziz, M., Baig, S., Hai, W. et al. (3 more authors) (2025) Systematic review: Resting state functional MRI as a biomarker for non-invasive brain stimulation in upper limb recovery post-stroke. Neurological Sciences. ISSN 1590-1874

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Item Type: Article
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© The Author(s) 2025. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Stroke rehabilitation; Non-invasive brain stimulation (NIBS); Transcranial magnetic stimulation (TMS); Functional connectivity; Resting-state fMRI (rs-fMRI); Arm weakness recovery
Dates:
  • Accepted: 30 April 2025
  • Published (online): 2 June 2025
  • Published: 2 June 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
Funder
Grant number
Efficacy and Mechanism Evaluation programme
NIHR133169
Depositing User: Symplectic Sheffield
Date Deposited: 06 Jun 2025 08:57
Last Modified: 06 Jun 2025 08:57
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10072-025-08224-5
Open Archives Initiative ID (OAI ID):

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