Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F23%3A43921226" target="_blank" >RIV/00023752:_____/23:43921226 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10164584" target="_blank" >https://ieeexplore.ieee.org/document/10164584</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164584" target="_blank" >10.23919/MEASUREMENT59122.2023.10164584</a>

Result language

angličtina

Original language name

Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results

Original language description

The ability to predict response to medication treatment of depressed patients, either early in the course of therapy or before treatment even begins can avoid trials of ineffective therapy and save patients from prolonged intervals of suffering. Symptom alleviation requires 4-6 weeks after starting current antidepressive medication. Based on the data basis of the patients and their EEG before and on the 7th day of treatment we apply data mining, causal discovery and machine learning approaches to discover interactive patterns between patient&apos;s brain regions to separate the treatment responders from non-responders. In this paper we report the preliminary results of our international project &quot;Learning Synchronization Patterns in Multivariate Neural Signals for Prediction of Response to Antidepressants&quot;ongoing at the University of Vienna, the Czech Academy of Sciences and the National Institute of Mental Health in the Czech Republic.

Czech name

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Czech description

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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)

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 14th International Conference on Measurement, MEASUREMENT 2023

ISBN

978-80-972629-7-6

ISSN

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e-ISSN

—

Number of pages

4

Pages from-to

80-83

Publisher name

Institute of Measurement Science, SAS

Place of publication

Karlova Ves, Slovensko

Event location

Smolenice Castle

Event date

May 29, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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