2 citations · 2 across the 1 of their papers we have counts for
4 papers
Transfer entropy applied on EEG in depression reveals aberrated dynamics
Milena Cukic, Slavoljub Radenkovic, Miodrag Stokic +1
We applied transfer entropy analysis on samples of electroencephalogram recorded from patients diagnosed with major depressive disorder and matched healthy controls. This is the fi…
The Shift in brain-state induced by tDCS: an EEG study
Milena Cukic, Miodrag Stokic, Slavoljub Radenkovic +2
Transcranial direct current stimulation (tDCS) is known to have a modulatory effect on neural tissue and that it is polarity specific. It is also shown that tDCS demonstrated the l…
Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression
Čukić Milena, Stokić Miodrag, Radenković Slavoljub +3
Biomarkers of Major Depressive Disorder(MDD), its phases and forms have long been sought. Research indicates that the complexity measures of the cortical electrical activity (EEG)…
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression
Milena Cukic, David Pokrajac, Miodrag Stokic +3
Reliable diagnosis of depressive disorder is essential for both optimal treatment and prevention of fatal outcomes. In this study, we aimed to elucidate the effectiveness of two no…