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Article Type

Original Study

Abstract

Aim To identify the pattern and side of brain plasticity following acute stroke in patients who recovered and assess motor upper limb function using motor-related cortical potentials. Patients and methods Eleven patients diagnosed with acute ischemic stroke were recruited from in patients and stroke clinic within Ain Shams University Hospital. They were assessed after 2 or more weeks from stroke onset and showed power in finger flexors and extensors of two or more according to Medical Research Council; their motor recovery was assessed by using Fugal–Meyer scale. A high-density 64-channel electroencephalogram connected to an event-related potential software detector is used to record motor-related cortical potential by asking the patient to press on a bottom for an average of 130 presses with a free interval of 3–5 s between each press using the index finger of the paretic hand. Motor potential epoch component was filtered and analyzed regarding amplitude and latency using event-related potential lab within a MATLAB software programmed for analyzing event-related potentials with particular attention to lateralized readiness potentials along cortical areas of interest. Results A total of 11 adult patients completed the study. Three (75%) patients with right-side weakness had potential from the intact side, and one (25%) patients had potential from the lesion side. Six (86%) patients with left-side weakness had potential from the intact side, and one (14%) patients had potential from the lesion side. There was a weak nonassociation between the source of potential and the side of weakness (Cramer's V = 0.13, P = 0.65). Conclusion This study investigated brain activity changes during movement intention and execution of index movement using comprehensive EEG analysis method, which combined indicator mammalian ependymin-related proteins (MERPs) and choroidal neovascularization (CNV) time-frequency mapping. EEG changes in time and time-frequency domains showed different topographical features and might provide comprehensive information for studying movement disorders such as those in a poststroke patient.

Keywords

Electroencephalography, evoked potentials, hemiparesis, recovery of function, stroke

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