Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00573671" target="_blank" >RIV/67985807:_____/23:00573671 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164427" target="_blank" >http://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164427</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164427" target="_blank" >10.23919/MEASUREMENT59122.2023.10164427</a>
Alternative languages
Result language
angličtina
Original language name
Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GF21-14727K" target="_blank" >GF21-14727K: Learning Synchronization Patterns in Multivariate Neural Signals for Prediction of Response to Antidepressants</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 14th International Conference on Measurement. Proceedings
ISBN
979-8-3503-1218-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
84-87
Publisher name
Institute of Measurement Science, SAS / IEEE
Place of publication
Bratislava
Event location
Smolenice
Event date
May 29, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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