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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Intrahemispheric EEG: A New Perspective for Quantitative EEG Assessment in Poststroke Individuals
Rodrigo Brito1,2, Adriana Baltar1,2, Marina Berenguer-Rocha1
1Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil.
Quantitative electroencephalography (qEEG) analysis revealed altered brain activity post-stroke. The intrahemispheric Power Ratio Index (PRI) effectively identified interhemispheric differences related to motor impairment.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Clinical Neurology
Background:
- Brain activity frequency ratios, like delta/alpha ratio (DAR) and Power Ratio Index (PRI), may change post-stroke.
- Few studies quantify interhemispheric differences using these qEEG indices after stroke.
Purpose of the Study:
- To analyze DAR and PRI within each hemisphere and investigate motor impairment-related interhemispheric frequency oscillations.
- To explore a new perspective for analyzing DAR and PRI in post-stroke patients.
Main Methods:
- Quantitative electroencephalography (qEEG) was used to compute intrahemispheric and cerebral indices (DAR and PRI).
- Forty-seven post-stroke subjects (mild/moderate and severe motor impairment) and 12 healthy controls were studied.
- Interhemispheric frequency oscillations related to motor impairment were investigated.
Main Results:
- Cerebral DAR and PRI showed generalized brain activity slowing in post-stroke patients compared to controls.
- Only the intrahemispheric PRI index detected significant interhemispheric differences in frequency oscillations.
- The DAR index was more sensitive to motor impairment-related frequency oscillations, though it didn't detect interhemispheric differences.
Conclusions:
- The intrahemispheric PRI index may offer insights into therapeutic strategies for interhemispheric asymmetry post-stroke.
- qEEG indices like DAR and PRI can reveal stroke-related brain activity changes and motor impairment correlations.
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