ArticleScientific reports2023
Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic factors in vagus nerve stimulation for drug-resistant epilepsy. Results from a systematic review and meta-analysis of the literature.Neurosurgical review · 2026Pooled it
- Relative entropy as a biomarker for vagus nerve stimulation response in epilepsy: Insights from intracerebral electroencephalography.Epilepsia open · 2026Article
- Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy.Scientific reports · 2025Article
- Complex network behavior in epileptic patients treated with Vagus Nerve Stimulation (VNS): VNS responders exhibit a unique pattern, different from VNS non-responders and healthy controls.Frontiers in neuroscience · 2025Article
- Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures.Journal of translational medicine · 2024Article
- Entropy of the Canonical Occupancy (Macro) State in the Quantum Measurement Theory.Entropy (Basel, Switzerland) · 2024Article
- Long-term effects of vagus nerve stimulation on EEG aperiodic components in patients with drug-resistant epilepsy.Therapeutic advances in neurological disorders · 2024Article
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10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Vagus nerve stimulation (VNS) is a therapeutic option in drug-resistant epilepsy. VNS leads to ≥ 50% seizure reduction in 50 to 60% of patients, termed "responders". The remaining 40 to 50% of patients, "non-responders", exhibit seizure reduction < 50%. Our work aims to differentiate between these two patient groups in preimplantation EEG analysis by employing several Entropy methods. We identified 59 drug-resistant epilepsy patients treated with VNS. We established their response to VNS in terms of responders and non-responders. A preimplantation EEG with eyes open/closed, photic stimulation, and hyperventilation was found for each patient. The EEG was segmented into eight time intervals within four standard frequency bands. In all, 32 EEG segments were obtained. Seven Entropy methods were calculated for all segments. Subsequently, VNS responders and non-responders were compared using individual Entropy methods. VNS responders and non-responders differed significantly in all Entropy methods except Approximate Entropy. Spectral Entropy revealed the highest number of EEG segments differentiating between responders and non-responders. The most useful frequency band distinguishing responders and non-responders was the alpha frequency, and the most helpful time interval was hyperventilation and rest 4 (the end of EEG recording).
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