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

Autoři: RNDr. Milan Paluš, Dr. Sc.
Aditi Kathpalia
Rok vydání: 2023
Typ publikace: Konferenční příspěvek (mezinárodní konf.)
Periodikum: 2023 14th International Conference on Measurement. Proceedings
Projekty: Struktury synchronizace v mnohorozměrných neurálních signálech: strojové učení a predikce účinnosti antidepresiv
Bibliografická citace: PALUŠ, Milan, KATHPALIA, Aditi, BRUNOVSKÝ, M. EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects. In: DVUREČENSKIJ, A., MAŇKA, J., ŠVEHLÍKOVÁ, J., WITKOVSKÝ, V.-, eds. 2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023, S. 76-79. ISBN 979-8-3503-1218-8
Dostupné z: doi:10.23919/MEASUREMENT59122.2023.10164615.
DOI: 10.23919/MEASUREMENT59122.2023.10164615
ID: 573667
Online záznam: Zobrazit online záznam

Abstrakt

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.