Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder

Autoři: Madhurima Bhattacharjee, Ph.D.
Aditi Kathpalia
RNDr. Milan Paluš, Dr. Sc.
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: BHATTACHARJEE, Madhurima, KATHPALIA, Aditi, BRUNOVSKÝ, M., PALUŠ, Milan. Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder. 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. 84-87. ISBN 979-8-3503-1218-8
Dostupné z: doi:10.23919/MEASUREMENT59122.2023.10164427.
DOI: 10.23919/MEASUREMENT59122.2023.10164427
ID: 573671

Abstrakt

This study analyzes causal connections between cross-hemispheric brain regions in individuals diagnosed with major depressive disorder (MDD) through Electroencephalography (EEG) data. A phase-based causality analysis technique is first validated on coupled Rössler systems and then employed on EEG recordings from MDD patients. Our results provide significant insights regarding causal influences in cross-hemispheric brain connectivity of MDD patients who exhibit an early response to medication after commencing treatment.