Clinical NeurophysiologyNeurosciencePeer-reviewed journal article
Abnormal mu rhythm state-related cortical and corticospinal responses in chronic stroke
Miles WischnewskiiD, Zachary J. HaighiD, Taylor A. BergeriD, Jonna Rotteveel, Tessa van Oijen, Nipun D. PereraiD, Sina ShirinpouriD, Ivan AlekseichukiD, Rachel L. HaweiD, Alexander OpitziD
Abstract
The motor cortexs activity is state-dependent. Specifically, the sensorimotor mu rhythm phase relates to fluctuating levels of primary motor cortex (M1) excitability, previously demonstrated in young and healthy volunteers. However, it is unknown whether this observation is generalizable to individuals with brain lesions after a stroke. We investigated the phase relationship between the mu rhythm and cortical excitability by combining real-time processing of electroencephalography (EEG) signals and transcranial magnetic stimulation (TMS) of M1. In 11 chronic subcortical stroke survivors and 12 similar-aged healthy volunteers, we applied TMS to M1 at the peak, falling, trough, and rising phase of the sensorimotor mu oscillation. As outcome measures, we investigated the M1-to-muscle excitability by measuring motor-evoked potentials (MEPs) and local cortical activation by measuring TMS-evoked potentials (TEPs). We found that M1-to-muscle excitability in stroke survivors and older volunteers shows a phase-dependency similar to that in young healthy adults. That is, MEPs were increased and decreased at the trough and peak of the mu rhythm, respectively. However, individuals with stronger stroke-related motor symptoms showed a decreased phase preference. Further, phase-dependency was abolished in the local cortical activity, as measured with EEG, in the stroke-affected hemisphere, in contrast to the non-affected hemisphere as well as either hemisphere in healthy volunteers. Altogether, these results shed light on the state-dependency of motor cortex excitability after stroke. Our results indicate that the strength of phase preference of TMS motor responses could indicate the severity of motor impairment. These results could enable the development of improved TMS paradigms for recovery of motor impairment after stroke.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 7
- FWCI
- 2.51
- Field percentile
- top 10%
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