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Exploring neurovascular coupling in stroke patients: insights on linear and nonlinear dynamics using transfer entropy
Andrea Rozo1, Shafiul Hasan2, Zhe Zhang3
1Service Aéro-Thermo-Mécanique, Université libre de Bruxelles, Brussels, Belgium.
Journal of Neural Engineering
|April 17, 2025
Summary
Transfer entropy (TE) reveals complex neurovascular coupling (NVC) interactions in stroke patients, analyzing both linear and nonlinear dynamics between electroencephalography (EEG) and cerebral blood flow velocity (CBFV) signals.
Area of Science:
- Neuroscience
- Medical Physics
- Biomedical Engineering
Background:
- Neurovascular coupling (NVC) links neuronal activity and cerebral blood flow, crucial for brain function understanding.
- Current NVC study methods have limitations in temporal resolution and linearity.
- Nonlinear methods like Transfer Entropy (TE) can capture complex interactions.
Purpose of the Study:
- To hypothesize that TE can detect complex linear and nonlinear NVC interactions in stroke patients.
- To analyze TE between electroencephalography (EEG) and cerebral blood flow velocity (CBFV) in stroke and non-stroke settings.
- To correlate NVC interaction dynamics with clinical outcomes in stroke patients.
Main Methods:
- Computed TE between simultaneously recorded EEG and CBFV signals.
- Analyzed TE in ipsilateral stroke, ipsilateral non-stroke, and contralateral settings.
- Performed surrogate analysis to assess TE significance and interaction nature.
Main Results:
- EEG generally influenced CBFV.
- More linear+nonlinear interactions were observed in ipsilateral non-stroke settings and delta band for ipsilateral stroke/contralateral settings.
- Interactions were stronger on the non-stroke side for linear+nonlinear dynamics.
- Interaction strength and nature weakly correlated with clinical outcomes (infarct growth, NIHSS).
Conclusions:
- TE is beneficial for analyzing linear and nonlinear NVC dynamics.
- This approach enhances understanding of NVC implications in stroke severity.
- TE offers a more comprehensive view of brain physiology in pathological states.
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