Investigating the Effect of Different Types of Exercise on Upper Limb Functional Recovery in Patients with Right Hemisphere Damage Based on fNIRS
February 9th, 2024
Here, we investigate the effect of functional occupational therapy combined with assisted active or passive motion on the upper limb function of patients with right hemisphere damage and explore the effect of functional near-infrared spectroscopy on brain function remodeling.
We are trying to address upper limb rehabilitation for spinal cord injury patients, and we have studied the effectiveness of assisted active exercise in functional occupational therapy for patients with right hemisphere damage. We currently used head rehabilitation robotics and the near-infrared functional brain imagining technology for our research. Challenges encountered so far include the need for the patient to keep his head stable during fNIRS testing and the need to carefully adjust to the optical and to ensure good quality channel signal.
Our findings suggest that patients should be fully motivated and assisted with active rehabilitation exercise rather than purely passive exercise in the future, as this is more effective in the rehabilitation training for brain function remodeling. To begin, identify the subject and the control group. Move the shoulder, elbow, wrist, thumb, and fingers of the affected limb of the patient for one minute.
Then instruct the patient to actuate the affected hand using the unaffected hand to push a foam roller, lift a wooden peg, lift a small wooden stick, and hold a ball. For assisted active movement, select Smart Mirror Mode and set the time to 10 minutes on the rehabilitation training device. Ask the patient about their feelings and choose from levels one to 10 according to the patient's experience and tolerance.
Then click the start button. As the patient voluntarily performs the grasping action with the unaffected hand, instruct them to observe the movement and try to grasp with the affected hand using the glove. Similarly, instruct the patient to observe the finger movements of the unaffected hand and try to open the fingers of the affected hand.
For passive movement, place the corresponding glove on the affected hand. Using the same device, select passive mode, set the time to 10 minutes, and adjust the intensity levels according to the patient's sensations. After starting the device, let the patient close and open the affected hand for 10 minutes.
To begin, offer functional occupational therapy to the patients and the control group. For fNIRS, open the computer interface and enter the basic information of the subject. Then choose the optode arrangement two by four R two by four L, followed by the 15-30-15 task paradigm and set the assessment time to five.
Place the near infrared system device on the patient according to the optode layout, and adjust the positions of the emitters and detectors. After removing the hair to facilitate close contact with the scalp, click the okay button. Next, click standby, followed by start auto adjust to calibrate all channels to display green.
Then place the glove on the affected hand of the patient. After clicking the start button on the fNIRS computer interface, measure the initial resting phase for 15 seconds as the patient sits quietly avoiding external thoughts. Then click the start button of the hand device and after 30 seconds, click the stop button to end the exercise.
To complete the test, initiate another 15 second rest period. Finally, repeat the rest task rest test five times to complete the fNIRS. After the intervention, the fNIRS data showed a significant difference in the overall means of right hemisphere integral value for the subject and the control group and the experimental group, whereas no significant differences in the centroid values were observed between the two groups.
Overview
This study investigates the impact of functional occupational therapy combined with assisted active or passive motion on upper limb rehabilitation in patients with right hemisphere damage. The research also explores the role of functional near-infrared spectroscopy (fNIRS) in brain function remodeling.
Key Study Components
Area of Science
- Neuroscience
- Rehabilitation
- Functional Imaging
Background
- Upper limb rehabilitation is crucial for patients with neurological impairments.
- Functional occupational therapy aims to enhance motor function and independence.
- fNIRS is a non-invasive imaging technique used to monitor brain activity.
- Challenges in rehabilitation include patient motivation and maintaining stability during assessments.
Purpose of Study
- To evaluate the effectiveness of assisted active exercise in occupational therapy.
- To assess the impact of fNIRS on understanding brain function changes.
- To compare outcomes between patients receiving active versus passive rehabilitation.
Methods Used
- Participants underwent functional occupational therapy sessions.
- Assisted active and passive movements were performed using a rehabilitation device.
- fNIRS was utilized to measure brain activity during rehabilitation exercises.
- Data analysis focused on comparing integral and centroid values between groups.
Main Results
- Significant differences were observed in right hemisphere integral values between the experimental and control groups.
- No significant differences were found in centroid values between the groups.
- Active rehabilitation exercises showed greater effectiveness in promoting brain function remodeling.
- Patient motivation was identified as a key factor in rehabilitation success.
Conclusions
- Assisted active rehabilitation is more beneficial than passive methods for patients with right hemisphere damage.
- fNIRS provides valuable insights into brain activity during rehabilitation.
- Future rehabilitation strategies should focus on enhancing patient engagement and active participation.
Frequently Asked Questions
Executive Industry Relevance
Quantitative assessment of upper limb rehabilitation strategies using fNIRS enables mechanistic de-risking and predictive confidence in neurorehabilitation research. Integrating functional occupational therapy with assisted active movement provides actionable data for target validation and informs early go/no-go decisions in CNS recovery pipelines. This approach supports translational continuity from discovery of intervention effects to preclinical model optimization.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Functional near-infrared spectroscopy (fNIRS) enables objective measurement of brain activation during intervention.
- Comparative analysis of assisted active versus passive movement clarifies mechanistic pathways for motor recovery.
- Data-driven differentiation of intervention efficacy supports biological de-risking and target validation.
- Quantitative outputs inform predictive confidence for advancing rehabilitation modalities.
Screening & Assay Development
- Standardized fNIRS protocols facilitate reproducible assessment of motor cortex activation.
- Validated measurement of Fugl-Meyer Assessment and Barthel Index scores enables reliable functional screening.
- Assay-ready systems support scalable evaluation of neurorehabilitation interventions.
- Quantitative readouts enable cross-comparison of candidate therapies in early-stage pipelines.
Translational & Preclinical Research
- fNIRS-based brain activation mapping aligns with translational biomarker strategies for CNS recovery.
- Functional and behavioral endpoints bridge discovery findings to preclinical model validation.
- Risk-adjusted advancement decisions are supported by objective, reproducible neurofunctional data.
- Mechanistic insights from active versus passive movement inform future therapeutic development.
Pipeline & Workflow Integration
This protocol positions fNIRS-enabled functional assessment at the intersection of early discovery, lead identification, and translational research for neurorehabilitation interventions.
- Discovery Biology: Enables hypothesis testing of intervention mechanisms and clarifies neuroplasticity pathways.
- Screening: Provides reproducible, quantitative outputs for functional and neuroimaging endpoints.
- Analytics: Delivers integral and centroid values for robust statistical comparison of intervention groups.
- Translational Research: Supports biomarker alignment and continuity from human data to preclinical models.
- Enterprise Reuse: Establishes a standardized, scalable platform for evaluating CNS-targeted rehabilitation strategies.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in neurorehabilitation research.
- Operational Value: Standardizes neurofunctional assessment and supports reproducibility across studies.
- Strategic Value: Informs early go/no-go decisions and enhances capital efficiency in CNS intervention pipelines.
- Portfolio Impact: Enables risk-adjusted prioritization of candidate rehabilitation modalities.
Implementation Considerations
- Requires expertise in neuroimaging, rehabilitation robotics, and quantitative assessment.
- Demands access to fNIRS instrumentation and validated rehabilitation devices.
- Necessitates cross-team standardization of protocols and data analysis workflows.
- Adaptation may be needed for different neurological injury models or patient populations.
- Signal quality and patient compliance are critical for reliable data acquisition.
