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EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects

Result 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.

Keywords

Brain ConnectivityEEGImaginary CoherenceMajor Depressive DisorderAntidepressant Treatment

The result's identifiers

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

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

  • e-ISSN

  • 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

Basic information

Result type

D - Article in proceedings

D

OECD FORD

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Year of implementation

2023