Title
Neuroplasticity-driven technology-Assisted physiotherapy in cerebral dysfunction: A review of current evidence and clinical applications
Authors
Nand Kishor Prasad Sah*, Himani Rathi, Shipra Gangwar, Ranjit Tiwari, Simran Saxena & Pratibha Singh
Affiliation
Department of Physiotherapy, Teerthanker Mahaveer University, Moradabad, India; *Corresponding author
Nand Kishor Prasad Sah - E-mail: nandkishore.physiotherapy@tmu.ac.in
Himani Rathi - E-mail: himani.physiotherapy@tmu.ac.in
Shipra Gangwar - E-mail: shipra.physiotherapy@tmu.ac.in
Ranjit Tiwari - E-mail: ranjit.physiotherapy@tmu.ac.in
Simran Saxena - E-mail: simransaxena.physiotherapy@tmu.ac.in
Pratibha Singh - E-mail: pratibhasingh.physiotherapy@tmu.ac.in
Article Type
Review
Date
Received June 1, 2026; Revised June 30, 2026; Accepted June 30, 2026, Published June 30, 2026
Abstract
Long-term motor and functional disability following cerebral dysfunction remains a major global rehabilitation challenge despite advances in conventional physiotherapy approaches. Therefore, it is of interest to synthesise existing evidence on neuroplasticity and technology-based physiotherapy interventions for cerebral dysfunction and to evaluate their mechanistic foundations, clinical effectiveness and translational potential. Technology-based modalities such as robotic exoskeletons, VR systems, BCIs and non-invasive neuro-stimulation enhance cortical reorganisation, motor relearning and functional independence compared with traditional physiotherapy. Neuroplasticity-driven and technology-assisted physiotherapy represent a paradigm shift in the management of cerebral dysfunction, as evidenced by large-scale randomised controlled trials. Technology-assisted physiotherapy increases the neurorehabilitation outcomes regarding stroke, traumatic brain injury and cerebral palsy.
Keywords
Neuroplasticity; cerebral dysfunction; technology-assisted rehabilitation; virtual reality; brain-computer interface
Citation
Sah et al. Bioinformation 22(6): 3534-3538 (2026)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
