ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurorehabilitation
Multidimensional Analysis of Brain Activation Patterns in Different Motor Therapies Using Functional Near-Infrared Spectroscopy
Provisionally accepted- 1Longgang District People's Hospital of Shenzhen, Shenzhen, China
- 2Gannan Medical University, Ganzhou, China
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Objective:This study employed functional near-infrared spectroscopy (fNIRS) to systematically compare the effects of active movement (AM), passive movement (PM), and motor imagery (MI) on sensorimotor cortex excitability across three dimensions: spatial distribution, activation intensity, and temporal dynamics, thereby revealing distinct neural mechanisms underlying different motor therapies. Materials and Methods: Sixteen healthy participants performed AM, PM, and MI tasks under therapist guidance using a block design. fNIRS data covered bilateral primary motor cortex (M1), primary somatosensory cortex (S1), supplementary motor area (SMA), dorsolateral prefrontal cortex (DLPFC), and frontopolar area (FPA). Analytical metrics included: (1) Spatial features: mean Δ[HbO] during 0-30s time windows; (2) Activation intensity: generalized linear model (GLM)-fitted Δ[HbO] during 0-30s; (3) Temporal dynamics: slope values during 2-7s and T-centroid values during 0-60s. Results: Spatially, MI demonstrated the most extensive activation (bilateral DLPFC, SMA, M1, and left FPA; all p<0.05, FDR-corrected), followed by AM (bilateral DLPFC, M1, and left FPA), while PM showed more limited activation (bilateral DLPFC, left S1, and right FPA). In activation intensity, AM exhibited significantly stronger activation than PM and MI in DLPFC channels 27 and 29 (both p < 0.05, uncorrected). Temporally, AM showed steeper slopes in left DLPFC channel 27 (F=10.31, p=0.034, FDR-corrected), while MI demonstrated faster responses in right S1 and SMA (both p=0.03, FDR-corrected), with both PM and MI responding faster than AM in left FPA (p=0.03, FDR-corrected). Conclusion: These findings reveal therapy-specific neural mechanisms: MI broadly engages motor execution and cognitive control networks through mental simulation, AM predominantly activates motor execution networks with DLPFC dominance, and PM recruits sensory-attentional networks via external facilitation. The multidimensional neuroimaging evidence provides a foundation for personalized rehabilitation protocols.
Keywords: Motor therapy, active movement, passive movement, Motor Imagery, fNIRS, cortical excitability
Received: 24 Jul 2025; Accepted: 14 Nov 2025.
Copyright: © 2025 Lin, Xue, Liu, Hong, Xu, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ying Li, jsxskfkf@163.com
Ben-Guo Wang, wbg2001qq@126.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
