Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation.

Autor:	Sladky V; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Nejedly P; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Mivalt F; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Brinkmann BH; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Kim I; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., St Louis EK; Center for Sleep Medicine, Departments of Neurology and Medicine, Divisions of Sleep Neurology & Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA., Gregg NM; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Lundstrom BN; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Crowe CM; Department of Veterinary Clinical Sciences, University of California, Davis, CA, USA., Attia TP; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Crepeau D; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Balzekas I; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Marks VS; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Wheeler LP; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Cimbalnik J; International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic., Cook M; Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia., Janca R; Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Sturges BK; Department of Veterinary Clinical Sciences, University of California, Davis, CA, USA., Leyde K; Cadence Neuroscience, Seattle, WA, USA., Miller KJ; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA., Van Gompel JJ; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA., Denison T; Department of Bioengineering, Oxford University, Oxford, UK., Worrell GA; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA., Kremen V; Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Rochester, MN, USA.
Jazyk:	angličtina
Zdroj:	Brain communications [Brain Commun] 2022 May 06; Vol. 4 (3), pp. fcac115. Date of Electronic Publication: 2022 May 06 (Print Publication: 2022).
DOI:	10.1093/braincomms/fcac115
Abstrakt:	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. (Published by Oxford University Press on behalf of the Guarantors of Brain 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
Databáze:	MEDLINE
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