Phase Dynamics and Directed EEG Connectivity in Treatment of Major Depressive Disorder

Authors: Anupam Ghosh, Madhurima Bhattacharjee, Aditi Kathpalia, M. Brunovský, Milan Paluš
Publication year: 2023
Publication type: Konferenční příspěvek (mezinárodní konf.)
Periodical: 2023 14th International Conference on Measurement. Proceedings
Projects: Learning Synchronization Patterns in Multivariate Neural Signals for Prediction of Response to Antidepressants
Bibliographic citation: GHOSH, Anupam, BHATTACHARJEE, Madhurima, KATHPALIA, Aditi, BRUNOVSKÝ, M., PALUŠ, Milan. Phase Dynamics and Directed EEG Connectivity 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. 88-91. ISBN 979-8-3503-1218-8
Dostupné z: doi:10.23919/MEASUREMENT59122.2023.10164557.
DOI: 10.23919/MEASUREMENT59122.2023.10164557
ID: 573672
Online record: View online record

Abstract

In this paper, we infer the direction of information transfer between interacting subsystems using a cross-dependence index derived from the phase dynamics of coupled subsystems. First, we apply this method to unidirectionally coupled Rössler oscillators. This index always has a higher value along the direction of coupling than that opposite to the coupling. Finally, we employ this method in analysis of EEG signals. The aim of this analysis is to identify the direction of information transfer in the brain in patients suffering from depression and quantify its changes during the treatment process.