ArticleBrain communications2022
Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Kainic acid pig model of hippocampal epilepsy.Scientific reports · 2026Article
- Post-Ictal Sleep Changes in Human Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Safety of Intracranial Neuromodulation in Drug-Resistant Pediatric and Adult Epilepsy.Neurology · 2026Article
- Pathway to Adaptive Neuromodulation: Modeling Epileptogenic Brain States Using SEEG.Epilepsy currents · 2026Article
- Multi-Level Perception Systems in Fusion of Lifeforms: Classification, Challenges and Future Conceptions.Sensors (Basel, Switzerland) · 2026Review
- Thalamocortical seizure onset patterns in drug-resistant focal epilepsy.Brain communications · 2026Article
- Seizure detection using ultra-long-term subcutaneous electroencephalography: A deep learning CNN-BiLSTM approach.Epilepsia · 2026Article
- Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.Journal of neural engineering · 2025Review
- OpenSpindleNet: An open-source deep learning network for reliable sleep spindle detection in scalp and intracranial EEG.Computers in biology and medicine · 2025Article
- Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.Epilepsia · 2025Article
- Modulating limbic circuits in temporal lobe epilepsy: impacts on seizures, memory, mood and sleep.Brain communications · 2025Article
- Neuromorphic neuromodulation: Towards the next generation of closed-loop neurostimulation.PNAS nexus · 2024Review
- Article
- Acute to long-term characteristics of impedance recordings during neurostimulation in humans.Journal of neural engineering · 2024Article
- Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity.PLoS computational biology · 2024Article
- Artificial Intelligence: Fundamentals and Breakthrough Applications in Epilepsy.Epilepsy currents · 2024Review
- Acute to long-term characteristics of impedance recordings during neurostimulation in humans.medRxiv : the preprint server for health sciences · 2024Article
- Case report: Bridging limbic network epilepsy with psychiatric, memory, and sleep comorbidities: case illustrations of reversible psychosis symptoms during continuous, high-frequency ANT-DBS.Frontiers in network physiology · 2024Article
- Individualized Seizure Cluster Prediction Using Machine Learning and Chronic Ambulatory Intracranial EEG.IEEE transactions on nanobioscience · 2023Article
- Impedance Rhythms in Human Limbic System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
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Authors and funding
24 authors.
Funding
Abstract
Early implantable epilepsy therapy devices provided open-loop electrical stimulation without brain sensing, computing, or an interface for synchronized behavioural inputs from patients. Recent epilepsy stimulation devices provide brain sensing but have not yet developed analytics for accurately tracking and quantifying behaviour and seizures. Here we describe a distributed brain co-processor providing an intuitive bi-directional interface between patient, implanted neural stimulation and sensing device, and local and distributed computing resources. Automated analysis of continuous streaming electrophysiology is synchronized with patient reports using a handheld device and integrated with distributed cloud computing resources for quantifying seizures, interictal epileptiform spikes and patient symptoms during therapeutic electrical brain stimulation. The classification algorithms for interictal epileptiform spikes and seizures were developed and parameterized using long-term ambulatory data from nine humans and eight canines with epilepsy, and then implemented prospectively in out-of-sample testing in two pet canines and four humans with drug-resistant epilepsy living in their natural environments. Accurate seizure diaries are needed as the primary clinical outcome measure of epilepsy therapy and to guide brain-stimulation optimization. The brain co-processor system described here enables tracking interictal epileptiform spikes, seizures and correlation with patient behavioural reports. In the future, correlation of spikes and seizures with behaviour will allow more detailed investigation of the clinical impact of spikes and seizures on patients.
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Registered trials
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