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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F22%3A00558868" target="_blank" >RIV/68081731:_____/22:00558868 - isvavai.cz</a>

Alternative codes found

RIV/00159816:_____/22:00077624 RIV/00216305:26220/22:PU146332 RIV/00064203:_____/22:10445340 RIV/00216208:11130/22:10445340

Result on the web

<a href="https://academic.oup.com/braincomms/article/4/3/fcac115/6581724" target="_blank" >https://academic.oup.com/braincomms/article/4/3/fcac115/6581724</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/braincomms/fcac115" target="_blank" >10.1093/braincomms/fcac115</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20601 - Medical engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Brain communications

ISSN

2632-1297

e-ISSN

2632-1297

Volume of the periodical

4

Issue of the periodical within the volume

3

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

fcac115

UT code for WoS article

000814811600002

EID of the result in the Scopus database

2-s2.0-85136094010