Distributed brain co-processor for tracking electrophysiology and behavior during electrical brain stimulation
biorxiv(2021)
摘要
Early implantable epilepsy therapy devices provided open-loop electrical stimulation without brain sensing, computing, or an interface for synchronized behavioral inputs from patients. Recent epilepsy stimulation devices provide brain sensing but have not yet developed analytics for accurately tracking and quantifying behavior 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 hand-held 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 9 humans and 8 canines with epilepsy, and then implemented prospectively in out-of-sample testing in 2 pet canines and 4 humans with drug resistant epilepsy living in their natural environments.
### Competing Interest Statement
GW, VK and BB declare intellectual property related to behavioral state classification analytics. GW, BB, and BNL declare intellectual property licensed to Cadence Neuroscience Inc. GW has licensed intellectual property to NeuroOne, Inc. GW and BNL are investigators for the Medtronic Deep Brain Stimulation Therapy for Epilepsy Post-Approval Study (EPAS). VM is a paid summer intern at Med-tronic. GW previously assisted in a Mayo Clinic Medtronic sponsored FDA-IDE for the investiga-tional Medtronic Activa PC+S device. The remaining authors declare that they have no competing interests. The investigational Medtronic Summit RC+STM devices used in this research were provided free of charge as part of NIH Brain Initiative UH2/UH3-NS95495.
* ANT
: Anterior Nucleus Thalamus
AUPRC
: Area Under Precision Recall Curve
AUROC
: Area Under Receiver Operator Curve
CNN
: Convolutional Neural Network
EBS
: Electrical Brain Stimulation
ECoG
: Electrocorticography
FFT
: Fast Fourier Transform
iEEG
: intracranial Electroencephalography
IES
: Interictal Epileptiform Spikes
LSTM
: Long-Short-Term-Memory
NV
: NeuroVista
PRC
: Precision Recall Curve
RC+S™
: investigational Medtronic Summit RC+S™
ROC
: Receiver Operator Curve
STFT
: Short Time Fourier Transform
TLE
: Temporal Lobe Epilepsy
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