activity
20182020
most citedEEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

136 citations · 237 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2020★ 2 cited

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…

q-bio.NC2019★ 13 cited

The role of physiological complexity changes in resting-state EEG in clinical effectiveness of rTMS and tDCS in treatments of resistant depression

Milena Cukic

The present literature about possible mechanisms behind the effectivity of noninvasive electromagnetic stimulation in major depressive disorder (MDD) is not very rich. Despite exte…

q-bio.NC2018★ 3 cited

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…

q-bio.NC2018★ 80 cited

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)…

q-bio.NC2018★ 3 cited

The comparison of Higuchi fractal dimension and Sample Entropy analysis of sEMG: effects of muscle contraction intensity and TMS

Milena B. Cukic, Mirjana M. Platisa, Aleksandar Kalauzi +2

The aim of the study was to examine how the complexity of surface electromyogram (sEMG) signal, estimated by Higuchi fractal dimension (HFD) and Sample Entropy (SampEn), change dep…

stat.ML2018★ 136 cited

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…