Key result
Stroke links to enhanced brain asymmetry vs healthy controls, with baseline features predicting motor improvements.
Why the study?
It is poorly understood to what extent brain asymmetries across different levels of functional organizations are evident in health or altered in brain diseases.
Does short-term brain-computer interface rehabilitation alter brain asymmetry, and can baseline features predict poststroke improvements in stroke patients?
Observational
Does short-term brain-computer interface rehabilitation alter brain asymmetry, and can baseline features predict poststroke improvements in stroke patients?
The CAMBA framework reveals stroke-induced abnormal brain asymmetries and shows that baseline EEG asymmetry features can predict poststroke motor recovery, offering potential prognostic biomarkers.
Should not yet change stroke prognostic practice; hypothesis-generating for EEG asymmetry as recovery biomarker.
Hemispheric asymmetry or lateralization is a fundamental principle of brain organization. However, it is poorly understood to what extent the brain asymmetries across different levels of functional organizations are evident in health or altered in brain diseases. Here, we propose a framework that integrates three degrees of brain interactions (isolated nodes, node-node, and edge-edge) into a unified analysis pipeline to capture the sliding window-based asymmetry dynamics at both the node and hemisphere levels. We apply this framework to resting-state EEG in healthy and stroke populations and investigate the stroke-induced abnormal alterations in brain asymmetries and longitudinal asymmetry changes during poststroke rehabilitation. We observe that the mean asymmetry in patients was abnormally enhanced across different frequency bands and levels of brain interactions, with these abnormal patterns strongly associated with the side of the stroke lesion. Compared to healthy controls, patients displayed significant alterations in asymmetry fluctuations, disrupting and reconfiguring the balance of inter-hemispheric integration and segregation. Additionally, analyses reveal that specific abnormal asymmetry metrics in patients tend to move towards those observed in healthy controls after short-term brain-computer interface rehabilitation. Furthermore, preliminary evidence suggests that baseline clinical and asymmetry features can predict poststroke improvements in the Fugl-Meyer assessment of the lower extremity (mean absolute error of about 2). Overall, these findings advance our understanding of hemispheric asymmetry. Our framework offers new insights into the mechanisms underlying brain alterations and recovery after a brain lesion, may help identify prognostic biomarkers, and can be easily extended to different functional modalities.
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Hao et al. (2023) conducted an observational in Stroke. Stroke vs. Healthy controls was evaluated on Brain asymmetry alterations and longitudinal changes. Stroke patients exhibited abnormally enhanced brain asymmetry compared to healthy controls, and baseline features predicted poststroke motor improvements with a mean absolute error of ~2.
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