Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
Multiple, not just Beta-Gamma, phase-amplitude couplings are associated with Parkinson's disease and related intervention effects.
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Kazemi Alireza, Nouri Salar, Mirian Maryam S, Lee Soojin, McKeown Martin J
Аннотация
OBJECTIVE: 1) To evaluate the importance of various EEG Phase Amplitude Couplings (PACs) in predicting motor vigor (MV) in Parkinson's Disease (PD). 2) To determine the effects of dopaminergic medication and non-invasive galvanic vestibular stimulation (GVS) on MV-related PACs.
METHODS: EEG data from 18 PD patients in comparison to 20 HC controls, executing a simple overlearned handgrip task was used, to identify PD-specific alterations. A deep learning model, PACNET, based on the VGG-16 architecture, was used to predict MV from a visual representation of different PACs.
RESULTS: Delta-Beta, Theta-, Alpha-, and Beta-Gamma PACs were important for MV prediction. In PD subjects, GVS affected Delta-Beta, and Theta-, Beta- Gamma PAC's role in MV prediction in a stimulation-specific manner. Delta-Beta and Theta-Gamma PACs were more relevant for PD patients' MV prediction after L-dopa medication.
CONCLUSIONS: Multiple PACs are important for MV in Parkinson's disease. Therapeutic interventions affect PAC/MV associations.
SIGNIFICANCE: Multiple PACs, not just Beta-Gamma, are important for MV in PD and may serve as targets for neuromodulation strategies. A combined assessment of PACs could be a valuable biomarker for both disease evaluation and therapeutic effects in PD.
METHODS: EEG data from 18 PD patients in comparison to 20 HC controls, executing a simple overlearned handgrip task was used, to identify PD-specific alterations. A deep learning model, PACNET, based on the VGG-16 architecture, was used to predict MV from a visual representation of different PACs.
RESULTS: Delta-Beta, Theta-, Alpha-, and Beta-Gamma PACs were important for MV prediction. In PD subjects, GVS affected Delta-Beta, and Theta-, Beta- Gamma PAC's role in MV prediction in a stimulation-specific manner. Delta-Beta and Theta-Gamma PACs were more relevant for PD patients' MV prediction after L-dopa medication.
CONCLUSIONS: Multiple PACs are important for MV in Parkinson's disease. Therapeutic interventions affect PAC/MV associations.
SIGNIFICANCE: Multiple PACs, not just Beta-Gamma, are important for MV in PD and may serve as targets for neuromodulation strategies. A combined assessment of PACs could be a valuable biomarker for both disease evaluation and therapeutic effects in PD.