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Quantitative EEG (qEEG) has been used as an effective tool in the diagnosis and prognosis of brain-related diseases. In the literature, a variety of qEEG parameters have been proven informative in the prognosis of stroke. In addition, it has been demonstrated that changes in certain qEEG parameters during traditional/task-specific rehabilitation approaches are correlated with clinical outcomes of functional motor recovery. Repetitive transcranial magnetic stimulation (rTMS) has been proposed as a non-invasive and therapeutic treatment used to accelerate and enhance the recovery process of motor function in stroke patients. Many studies have reported that inhibiting contralesional rTMS may have positive effects in stroke patients with severe upper extremity motor impairment. In this context, the aim of the proposed study is to investigate whether there is a correlation between the change in qEEG parameters and the improvement of motor functions associated with rTMS treatment and to provide an electrophysiological prognostic biomarker of inhibiting contralesional rTMS for stroke patients.
Full description
50 stroke patients will receive inhibiting contralesional rTMS at 1 Hz frequency. Upper extremity motor functions will be assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Brunnstrom stages, modified Ashworth Scale (MAS) before and after treatment. The resting-state EEGs will be measured six time during the course of the treatment (Before/After 1. Session, Before/After 5. Session, Before/After 10. Session (end of the treatment)).
The main questions it aims to answer are:
50 stroke patients will receive inhibiting contralesional rTMS at 1 Hz frequency. Upper extremity motor functions will be assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE), Brunnstrom stages, modified Ashworth Scale (MAS) before and after treatment. The resting-state EEGs will be measured six time during the course of the treatment (Before/After 1. Session, Before/After 5. Session, Before/After 10. Session (end of the treatment)).
The main questions it aims to answer are:
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50 participants in 1 patient group
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Onan Guren, PhD; Ayhan Askin, MD
Data sourced from clinicaltrials.gov
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