Nonlinear analysis of EEGs of patients with major depression during different emotional states
Background Although patients with major depressive disorder (MDD) have dysfunctions in
cognitive behaviors and the regulation of emotions, the underlying brain dynamics of the …
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 …
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 …
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
Objectives Complexity measures have been enormously used in schizophrenia patients to
estimate brain dynamics. However, the conflicting results in terms of both increased and …
estimate brain dynamics. However, the conflicting results in terms of both increased and …
Fractality analysis of frontal brain in major depressive disorder
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 …
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
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 …
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
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 …
common among children and may last into their adulthood. It is known that ADHD affects the …
Brain complexity increases in mania
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 …
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 …
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
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 …
Human brain activity can be studied by analyzing the electroencephalography (EEG) signal …
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