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. 2022 Nov;35(5-6):651-666.
doi: 10.1007/s10548-022-00915-y. Epub 2022 Sep 22.

Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review

Giada Milani #  1   2 , Annibale Antonioni #  3 , Andrea Baroni  2 , Paola Malerba  4 , Sofia Straudi  5   6
Affiliations

Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review

Giada Milani et al. Brain Topogr. 2022 Nov.

Abstract

Current clinical practice does not leverage electroencephalography (EEG) measurements in stroke patients, despite its potential to contribute to post-stroke recovery predictions. We review the literature on the effectiveness of various quantitative and qualitative EEG-based measures after stroke as a tool to predict upper limb motor outcome, in relation to stroke timeframe and applied experimental tasks. Moreover, we aim to provide guidance on the use of EEG in the assessment of upper limb motor recovery after stroke, suggesting a high potential for some metrics in the appropriate context. We identified relevant papers (N = 16) from databases ScienceDirect, Web of Science and MEDLINE, and assessed their methodological quality with the Joanna Briggs Institute (JBI) Critical Appraisal. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) Framework. Identified works used EEG to identify properties including event-related activation, spectral power in physiologically relevant bands, symmetry in brain dynamics, functional connectivity, cortico-muscular coherence and rhythmic coordination. EEG was acquired in resting state or in relation to behavioural conditions. Motor outcome was mainly evaluated with the Upper Limb Fugl-Meyer Assessment. Despite great variability in the literature, data suggests that the most promising EEG quantifiers for predicting post-stroke motor outcome are event-related measures. Measures of spectral power in physiologically relevant bands and measures of brain symmetry also show promise. We suggest that EEG measures may improve our understanding of stroke brain dynamics during recovery, and contribute to establishing a functional prognosis and choosing the rehabilitation approach.

Keywords: EEG; Motor recovery; Rehabilitation; Stroke; Upper limb motor outcome.

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Conflict of interest statement

The Authors declare that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
Selection process flow-chart of the included studies
Fig. 2
Fig. 2
Included studies according to stroke timeframe and EEG measures
See this image and copyright information in PMC

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