EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects

0573667 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
Paluš, Milan - Kathpalia, Aditi - Brunovský, M.
EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects.
2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 76-79. ISBN 979-8-3503-1218-8.
[MEASUREMENT 2023: International Conference on Measurement /14./. Smolenice (SK), 29.05.2023-31.05.2023]
R&D Projects: GA ČR(CZ) GF21-14727K
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Brain Connectivity * EEG * Imaginary Coherence * Major Depressive Disorder * Antidepressant Treatment
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164615

Brain connectivity, extracted from EEG is considered for quantitative characterization of changes in brain function due to a mental disease and its treatment. Weighted imaginary coherence is chosen as a connectivity measure reflecting true brain interactions without distortions due to scalp conductivity and a common reference electrode. This measure is used in analyses of EEG data from patients suffering from major depressive disorder and its potential in prediction of efficacy of antidepressant treatment is demonstrated.
Permanent Link: https://hdl.handle.net/11104/0344051