Nonlinear analysis of EEGs of patients with major depression during different emotional states

SA Akar, S Kara, S Agambayev, V Bilgiç - Computers in biology and …, 2015 - Elsevier
Background Although patients with major depressive disorder (MDD) have dysfunctions in
cognitive behaviors and the regulation of emotions, the underlying brain dynamics of the …

Nonlinear analysis of EEG in major depression with fractal dimensions

SA Akar, S Kara, S Agambayev… - 2015 37th annual …, 2015 - ieeexplore.ieee.org
Major depressive disorder (MDD) is a psychiatric mood disorder characterized by cognitive
and functional impairments in attention, concentration, learning and memory. In order to …

Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression

M Čukić, M Stokić, S Radenković… - … journal of methods …, 2020 - Wiley Online Library
Objectives Biomarkers of major depressive disorder (MDD), its phases and forms have long
been sought. Objectives were to examine whether the complexity of EEG activity, measured …

Investigation of the noise effect on fractal dimension of EEG in schizophrenia patients using wavelet and SSA-based approaches

SA Akar, S Kara, F Latifoğlu, V Bilgic - Biomedical Signal Processing and …, 2015 - Elsevier
Objectives Complexity measures have been enormously used in schizophrenia patients to
estimate brain dynamics. However, the conflicting results in terms of both increased and …

Fractality analysis of frontal brain in major depressive disorder

M Ahmadlou, H Adeli, A Adeli - International Journal of Psychophysiology, 2012 - Elsevier
EEGs of the frontal brain of patients diagnosed with major depressive disorder (MDD) have
been investigated in recent years using linear methods but not based on nonlinear methods …

Fractal-based classification of electroencephalography (EEG) signals in healthy adolescents and adolescents with symptoms of schizophrenia

H Namazi, E Aghasian, TS Ala - Technology and Health Care, 2019 - content.iospress.com
Brain activity analysis is an important research area in the field of human neuroscience.
Moreover, a subcategory in this field is the classification of brain activity in terms of different …

Complexity and memory-based comparison of the brain activity between ADHD and healthy subjects while playing a serious game

NM Dawi, K Kuca, O Krejcar, H Namazi - Fractals, 2021 - World Scientific
Attention deficit hyperactivity disorder (ADHD) is a mental health disorder that is very
common among children and may last into their adulthood. It is known that ADHD affects the …

Brain complexity increases in mania

B Bahrami, R Seyedsadjadi, B Babadi… - Neuroreport, 2005 - journals.lww.com
An important challenge in measuring whole brain activation is to develop a measure that
could distinguish between normal and abnormal mood states. The application of chaos …

Complexity analysis of EEG data in persons with depression subjected to transcranial magnetic stimulation

K Lebiecka, U Zuchowicz… - Frontiers in …, 2018 - frontiersin.org
Aim: The aim of this work was to study the neurophysiological effect of repetitive transcranial
magnetic stimulation (rTMS) applied to the left dorsolateral prefrontal cortex (DLPFC) in 8 …

Complexity-based classification of EEG signal in normal subjects and patients with epilepsy

H Namazi, E Aghasian, TS Ala - Technology and Health Care, 2020 - content.iospress.com
Abstract Analysis of human brain activity is an important topic in human neuroscience.
Human brain activity can be studied by analyzing the electroencephalography (EEG) signal …