An efficient recognition model is highly recommended while trying to analyze brain signal pattern for Motor Imagery (MI) signal. Therefore, this study aims develop an optimized based on a deep learning approach using Multi-Layer Perceptron (MLP) in order help large community of disability people by allowing them control the wheelchair their MI Brain In paper, dataset used which belong BCI Compe...

Extensive evidence shows that a core neurobiological mechanism of autism spectrum disorder (ASD) involves aberrant neural connectivity. Recent advances in the investigation of brain signal variability have yielded important information about neural network mechanisms. That information has been applied fruitfully to the assessment of aging and mental disorders. Multiscale entropy (MSE) analysis ...

BACKGROUND The adaptability of the human brain to the constantly changing environment is reduced in patients with psychotic disorders, leading to impaired cognitive functions. Brain signal complexity, which may reflect adaptability, can be readily quantified via resting-state functional magnetic resonance imaging (fMRI) signals. We hypothesized that resting-state brain signal complexity is alte...

Neuronal activity associated with visual processing of an unfamiliar face gradually diminishes when it is viewed repeatedly. This process, known as repetition suppression (RS), is involved in the acquisition of familiarity. Current models suggest that RS results from interactions between visual information processing areas located in the occipito-temporal cortex and higher order areas, such as ...

Introduction: In recent years, optical imaging has attracted a lot of attention from scholars as a non- aggressive, efficient method for evaluating the activities of the motor cortex in the brain. Functional near-infrared spectroscopy (fNIRS (is a tool showing the hemodynamic changes in a cortical area of the brain according to optical principles. The present study has been de...

Neuronal brain activity is assumed to be reflected by blood level oxygenation levels, also known as BOLD signal, measured with fMRI. A scan of the literature points both oxygen and carbon dioxide levels effects on The roles (O2 ; hypoxia/hypoxemia, hyperoxia) (CO2 hypocapnia, hypercapnia) in neuronal signal are complex still under investigation [1,2]. Inspiration while varying O2 CO2 air have b...

When considering human neuroimaging data, an appreciation of signal variability represents a fundamental innovation in the way we think about brain signal. Typically, researchers represent the brain's response as the mean across repeated experimental trials and disregard signal fluctuations over time as "noise". However, it is becoming clear that brain signal variability conveys meaningful func...