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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30105 - Physiology (including cytology)

Projekt

<a href="/cs/project/GA20-25298S" target="_blank" >GA20-25298S: Buněčné mechanizmy vysokofrekvenčních mozkových oscilací a patologicky propojených neuronálních shluků.</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-66543-023-4

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, USA

Místo konání akce

Virtual, Lausanne

Datum konání akce

23. 6. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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