fNIRS-triggered TMS
DeviceThe firing of TMS will be triggered according to fNIRS signal intensity.
NCT Number: NCT07088107
Stroke is a type of cerebrovascular disease, and the primary characteristic of post-stroke brains is pathological changes in cerebral hemodynamics. Therefore, hemodynamic signals may provide straightforward information for guiding post-stroke neuromodulation therapy. Transcranial magnetic stimulation (TMS), a non-invasive neurostimulation modality, has been extensively used in post-stroke rehabilitation. However, current TMS-based neuromodulation therapy demonstrates a large treatment response variability due to its open-loop nature. To address this challenge, the research team will develop a novel form of closed-loop neurofeedback interfaces which controls the timing of TMS pulses precisely based on neural biomarkers from functional near-infrared spectroscopy (fNIRS) and test the accuracy of the adaptive neurofeedback system in healthy adults. After establishing the TMS-based neurofeedback interface, a proof-of-concept study enrolling postacute stroke patients will be performed to evaluate the efficacy of the TMS neurofeedback interface in enhancing motor control of the hemiplegic upper extremity and cortical excitability of the ipsilesional motor cortex. These findings will verify whether the proposed fNIRS-controlled TMS neurofeedback interface can be clinically feasible as a form of post-stroke neuromodulation therapy. Additionally, the results will significantly contribute to the scientific understanding of how neuromodulation improves hemodynamic signals in a closed-loop manner, thereby enhancing functional recovery in poststroke survivors.
Interested in participating?
Request Info18 year–80 year
All sexes
Interventional
Not applicable
Hong Kong Polytechnic University, Hong Kong
Stroke is a type of cerebrovascular disease, and the primary characteristic of post-stroke brains is pathological changes in cerebral hemodynamics. Therefore, hemodynamic signals may provide straightforward information for guiding post-stroke neuromodulation therapy. Transcranial magnetic stimulation (TMS), a non-invasive neurostimulation modality, has been extensively used in post-stroke rehabilitation. However, current TMS-based neuromodulation therapy demonstrates a large treatment response variability due to its open-loop nature. To address this challenge, the research team will develop a novel form of closed-loop neurofeedback interfaces which controls the timing of TMS pulses precisely based on neural biomarkers from functional near-infrared spectroscopy (fNIRS) and test the accuracy of the adaptive neurofeedback system in healthy adults. After establishing the TMS-based neurofeedback interface, a proof-of-concept study enrolling postacute stroke patients will be performed to evaluate the efficacy of the TMS neurofeedback interface in enhancing motor control of the hemiplegic upper extremity and cortical excitability of the ipsilesional motor cortex. These findings will verify whether the proposed fNIRS-controlled TMS neurofeedback interface can be clinically feasible as a form of post-stroke neuromodulation therapy. Additionally, the results will significantly contribute to the scientific understanding of how neuromodulation improves hemodynamic signals in a closed-loop manner, thereby enhancing functional recovery in poststroke survivors.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Participants who meet the following criteria will be included:
Exclusion criteria
Patients who meet any of the following criteria will be excluded:
Healthy participants should be aged between 18 and 80, with no known history of neurological diseases. They should not have any moderate-to-severe chronic illness, such as uncontrolled hypertension, heart disease or renal failure.
The firing of TMS will be triggered according to fNIRS signal intensity.
Time frame: Baseline
Motor Evoked Potentials (MEPs) are electrical signals generated by stimulating the motor cortex and recorded from the peripheral muscle (e.g., a hand muscle). This is a measure of corticospinal excitability.
Contact information is provided by the study sponsor or research team.
The Hong Kong Polytechnic University
Other
Development and Validation of an Adaptive Neurofeedback Interface Using Transcranial Magnetic Stimulation to Modulate Cortical Excitability
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