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Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
Published on: July 2, 2013
Stratification algorithm for repetitive TMS in stroke (START): Results from an exploratory crossover study.
Yin-Liang Lin1, Kelsey A Potter-Baker2, Vishwanath Sankarasubramanian3
1Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Stroke survivors benefit from tailored brain stimulation. A new algorithm (START) uses Fugl-Meyer scores to guide whether inhibitory or facilitatory stimulation best aids upper extremity recovery.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Neuromodulation
Background:
- Contralesional motor cortices play a variable role in stroke recovery.
- Optimal measures to stratify patients for brain stimulation are needed.
- Understanding structural reserve is key for personalized neuromodulation.
Purpose of the Study:
- To establish severity criteria for stratifying stroke patients for contralesional M1 inhibition vs. cPMd facilitation.
- To determine optimal repetitive transcranial magnetic stimulation (rTMS) protocols based on patient impairment.
- To introduce a framework for targeted neuromodulation in upper extremity (UE) motor recovery.
Main Methods:
- Twenty-four chronic stroke participants received inhibitory (1 Hz) M1 rTMS, facilitatory (5 Hz) cPMd rTMS, or sham rTMS.
- Motor performance on a reaching task (RT) was assessed pre- and post-stimulation.
- Baseline UE Fugl-Meyer (UEFM), fractional anisotropy, and motor evoked potentials (MEPs) were measured.
Main Results:
- A UEFM score of 42 effectively stratified patients for differential rTMS response.
- Patients with UEFM > 42 showed greater RT gains with inhibitory M1 rTMS.
- Patients with UEFM ≤ 42 showed greater RT gains with facilitatory cPMd rTMS.
Conclusions:
- The findings support a bimodal theory of motor recovery and introduce the START framework.
- The START algorithm utilizes clinical impairment and white matter integrity for response stratification.
- Further validation is needed to refine targeted neuromodulation treatments for stroke survivors.
