Automatic processing protocol to evaluate the impact of functional network damage and reorganization on cognitive functions after stroke

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F21%3A10430958" target="_blank" >RIV/00216208:11130/21:10430958 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1109/MeMeA52024.2021.9478769" target="_blank" >https://doi.org/10.1109/MeMeA52024.2021.9478769</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MeMeA52024.2021.9478769" target="_blank" >10.1109/MeMeA52024.2021.9478769</a>

Result language

angličtina

Original language name

Automatic processing protocol to evaluate the impact of functional network damage and reorganization on cognitive functions after stroke

Original language description

An ischemic stroke is a local lesion that disrupts the large-scale structural and functional connectivity of the brain. Although local, the ischemic stroke often leads to deficits in cognitive functions which can&apos;t be explained by local brain damage. It is believed that stroke-induced large-scale network alteration represents the mechanisms responsible for a decline in cognitive functions which are dependent on large-scale integration. To gain insight into the pathophysiological principles of how a local lesion results in a global cognitive decline requires a reliable and robust algorithm that can quantify the relationship between cognitive functions and network properties. In this study, we have developed, optimized, and tested a processing pipeline to parameterize complex neuropsychological evaluation and determine the functional connectivity from high-density EEG recordings. The developed algorithm was applied on a cohort of 27 patients who suffered a stroke and who were underwent cognitive examinations and high-density EEG monitoring one and two years after the stroke. The developed automatic algorithm demonstrated that it can reliably estimate functional connectivity and that it is robust against the physiological and technical artifacts. The proposed processing pipeline allows an unbiased and quantitative characterization of cognitive performance and its comparison with functional connectivity alterations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

30105 - Physiology (including cytology)

Project

<a href="/en/project/GA20-25298S" target="_blank" >GA20-25298S: Cellular and network mechanism of high-frequency oscillatory brain activity and pathologically-interconnected neuronal clusters.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

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

Article name in the collection

2021 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021 - Conference Proceedings

ISBN

978-1-66543-023-4

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Piscataway, USA

Event location

Virtual, Lausanne

Event date

Jun 23, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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