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Abstract Background Mild cognitive impairment (MCI) is an intermediate stage between normal cognitive aging and dementia. People with MCI have a higher risk of developing dementia than normal healthy people. Improving th...

Abstract Background A standardized protocol for electroencephalography (EEG) under standing sedation for the investigation of epilepsy in foals is needed. Hypothesis/Objectives To evaluate a modified standardized EEG pro...

Abstract Background Psychopathic characteristics are associated with an elevated risk for violent behavior and are therefore of interest in research studies. Despite extensive research, the role of emotional and attentio...

"This paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computat...

Abstract Background In the neurorehabilitation framework of treadmill-based robot-assisted gait training (t-RAGT), a threefold relationship among physiotherapist (Pht), patient (Pt), and the selected robotic device shoul...

This study presents a novel machine learning approach to assess human well-being through the analysis of brain wave activities. We developed a Random Forest classifier to categorize brain wave patterns into three states ...

Language and action systems are functionally coupled in the brain as demonstrated by converging evidence using Functional magnetic resonance imaging (fMRI), electroencephalography (EEG), transcranial magnetic stimulation...

Abstract Background The diagnosis of idiopathic epilepsy (IE) in dogs is based on exclusion of other potential causes of seizures. Recently, a novel magnetic resonance imaging (MRI) sequence that utilizes a variant of th...

Electroencephalography (EEG) is a crucial technique for interpreting neurocognitive functions and the underlying neural information. Despite its advantages, such as high portability, cost-effectiveness and exceptional te...

In this study, Tc-99m Hexamethylpropyleneamine oxime (HMPAO) brain perfusion single photon emission computed tomography (SPECT) was performed in patients with aluminum intoxication (AI) and expectable aluminum neurotoxic...

Abstract Human social behaviors involve complex interactions between individuals, and understanding how interbrain neural activity reflects and predicts these interactions is critical for advancing social cognitive neuro...

Objective: This paper tackles the cross-sessions variability of electroencephalography-based brain-computer interfaces (BCIs) in order to avoid the lengthy recalibration step of the decoding method before every use. Meth...

Abstract BackgroundChronic musculoskeletal pain (CMP) imposes a significant psychological, physical, and emotional burden on millions of adults in the United States. A challenge in treating CMP is its tendenc...

A baseline or control state is fundamental to the understanding of most complex systems. Defining a baseline state in the human brain, arguably our most complex system, poses a particular challenge. Many suspect that lef...

"Brain Computer Interface (BCI) or Brain Machine Interfaces (BMI), has proved the feasibility of a distinct non-biological communication channel to transmit information from the Central Nervous System (CNS) to a computer...

"Electroencephalography (EEG) system validation faces a fundamental challenge: the absence of ground truth when measuring human subjects. Physical head phantoms provide controlled testing environments with known signals;...

"Identificar la actividad cerebral epiléptica utilizando señales de electroencefalografía (EEG) en tiempo real es un problema difícil. Los métodos modernos de detección basados en técnicas avanzadas de aprendizaje...

Materias / palabras clave: neurotherapy, electroencephalography, biofeedback, eeg biofeedback, neuroregulation, qeeg; Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry