EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00573667" target="_blank" >RIV/67985807:_____/23:00573667 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164615" target="_blank" >https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164615</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164615" target="_blank" >10.23919/MEASUREMENT59122.2023.10164615</a>
Alternative languages
Result language
angličtina
Original language name
EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects
Original language description
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.
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
76-79
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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