Vagus Nerve Stimulation Elicits Sleep EEG Desynchronization and Network Changes in Responder Patients in Epilepsy.
Simone VespaJolan HeyseLars StumppGiulia LiberatiSusana Ferrao SantosHerbert RooijakkersAntoine NonclercqAndré MourauxPieter van MierloRiëm El TahryPublished in: Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics (2021)
Neural desynchronization was shown as a key mechanism of vagus nerve stimulation (VNS) action in epilepsy, and EEG synchronization measures are explored as possible response biomarkers. Since brain functional organization in sleep shows different synchrony and network properties compared to wakefulness, we aimed to explore the effects of acute VNS on EEG-derived measures in the two different states of vigilance. EEG epochs were retrospectively analyzed from twenty-four VNS-treated epileptic patients (11 responders, 13 non-responders) in calm wakefulness and stage N2 sleep. Weighted Phase Lag Index (wPLI) was computed as connectivity measure of synchronization, for VNS OFF and VNS ON conditions. Global efficiency (GE) was computed as a network measure of integration. Ratios OFF/ON were obtained as desynchronization/de-integration index. Values were compared between responders and non-responders, and between EEG states. ROC curve and area-under-the-curve (AUC) analysis was performed for response classification. In responders, stronger VNS-induced theta desynchronization (p < 0.05) and decreased GE (p < 0.05) were found in sleep, but not in wakefulness. Theta sleep wPLI Ratio OFF/ON yielded an AUC of 0.825, and 79% accuracy as a response biomarker if a cut-off value is set at 1.05. Considering all patients, the VNS-induced GE decrease was significantly more important in sleep compared to awake EEG state (p < 0.01). In conclusion, stronger sleep EEG desynchronization in theta band distinguishes responders to VNS therapy from non-responders. VNS-induced reduction of network integration occurs significantly more in sleep than in wakefulness.
Keyphrases
- resting state
- working memory
- functional connectivity
- end stage renal disease
- physical activity
- sleep quality
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- magnetic resonance
- machine learning
- magnetic resonance imaging
- high glucose
- mesenchymal stem cells
- transcranial magnetic stimulation
- stem cells
- multiple sclerosis
- intensive care unit
- computed tomography
- brain injury
- liver failure
- high density
- patient reported outcomes
- white matter
- patient reported
- stress induced