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Nikita van der Vinne

Nikita van der Vinne
Research Institute Brainclinics & Synaeda Psycho Medisch Centrum

Doctor of Philosophy

About

10
Publications
16,915
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230
Citations
Citations since 2017
9 Research Items
218 Citations
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Publications

Publications (10)
Article
Using pre-treatment biomarkers to guide patients to the preferred antidepressant medication treatment could be a promising approach to enhance its current modest response and remission rates. This open-label prospective study assessed the feasibility of using such pre-treatment biomarkers, by using previously identified EEG features (paroxysmal act...
Article
Full-text available
Introduction: Frontal alpha asymmetry (FAA) is a proposed prognostic biomarker in major depressive disorder (MDD), conventionally acquired with electroencephalography (EEG). Although small studies attributed trait-like properties to FAA, a larger sample is needed to reliably asses this characteristic. Furthermore, to use FAA to predict treatment r...
Article
Background: MDD patients with abnormal EEG patterns seem more likely to be non-responsive to the antidepressants escitalopram and venlafaxine, but not sertraline, than patients without EEG abnormalities. This finding suggests that patients with both MDD and abnormal EEGs may differentially respond to antidepressant treatment. In the current study,...
Article
Full-text available
Background Frontal alpha asymmetry (FAA) has frequently been reported as potential discriminator between depressed and healthy individuals, although contradicting results have been published. The aim of the current study was to provide an up to date meta-analysis on the diagnostic value of FAA in major depressive disorder (MDD) and to further inves...
Article
Full-text available
This paper studies whether and how information and communication technology (ICT) changes self-construal and cultural values in a developing country. Ethiopian children were given laptops in the context of an ICT for development scheme. We compared children who used laptops (n = 69) with a control group without laptops (n = 76) and a second control...

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Projects

Project (1)
Project
According to Arns et al (2015) antidepressant response seems to depend on frontal alpha asymmetry patterns. Through EEG we'll try to locate biomarkers predicting treatment response.