objective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative electroencephalography (qeeg) recordings in order to highlight abnormalities and to characterize this group. method: in this study, spectrogram was used as a tool for evaluating qeeg in 15 children with autism disorders (13 boys and 2 girls aged between 6 to 11 years old) and i...

Electroencephalogram (EEG) is the recording of electrical activity through various electrode sensors placed on the scalp. The electrical signal is recorded as waves that can be classified as normal or abnormal. Different types of normal waves can indicate various states or activity levels of the functioning of the brain. Abnormal electricity of the brain may represent many brain disorders, whic...

introduction: in this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. epilepsy is considered as a dynamical change in nonlinear and complex brain system. the ability of the proposed measure for characterizing the normal and epileptic eeg signals when the signal is short or is...

Brain–computer interfacing has been applied in a range of domains including rehabilitation, neuro-prosthetics, and neurofeedback. Neuroimaging techniques provide insight into the structural functional aspects brain. There is need to identify, map understand various areas brain together with their functionally active roles for accurate efficient design brain–computer interface. In this review, a...

abstract introduction: there is limited knowledge available on the metabolism of glucose in the brain, an insulin insensitive organ. insulin receptors hybridize with insulin like growth factor receptor (igf-i) to transduce the signals in different areas of the brain. in this article we aimed at investigating whether the expression of igf-i receptor and igf-i binding proteins (igfbp1) is changed...

Background: Muscle fatigue has been known to influence brain activity, but very little is known about how cortical centers respond to muscle fatigue.Objective: This study was conducted to investigate the effects of muscle contraction and fatigue induced by two different percents of maximal voluntary contraction (MVC) on Electroencephalography (EEG) signals.Material and Methods: In t...

Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. Epilepsy is considered as a dynamical change in nonlinear and complex brain system. The ability of the proposed measure for characterizing the normal and epileptic EEG signals when the signal is short or is...