Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

Artifact Subspace Reconstruction (ASR) is an adaptive method for the online or offline
correction of artifacts comprising multichannel electroencephalography (EEG) recordings. It …

Background The methods available for pre-processing EEG data are rapidly evolving as
researchers gain access to vast computational resources; however, the field currently lacks …

Background Neurofeedback (NF) has gained increasing interest among non-
pharmacological treatments for Attention Deficit Hyperactivity Disorder (ADHD). NF training …

Spectral analysis of repeatedly evoked potentials (EPs) is challenging since recordings
contain a superposition of evoked signals and spontaneous activity. We developed a novel …

Electroencephalographic (EEG) recordings are contaminated by instrumental,
environmental, and biological artifacts, resulting in low signal-to-noise ratio. Artifact …

Purpose Chronic low back pain (cLBP) affects a quarter of a population during its lifetime.
The most severe cases include patients not responding to interventions such as 5-week …

Symbolic numerical magnitude processing is crucial to arithmetic development, and it is
thought to be supported by the functional activation of several brain-interconnected …

Electro-encephalography (EEG) and electro-oculography (EOG) are methods of
electrophysiological monitoring that have potentially fruitful applications in neuroscience …