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Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group
The analysis of spontaneous EEG activity and evoked potentials is a cornerstone of the
instrumental evaluation of patients with disorders of consciousness (DoC). The past few …
instrumental evaluation of patients with disorders of consciousness (DoC). The past few …
Towards the utilization of EEG as a brain imaging tool
Recent advances in signal analysis have engendered EEG with the status of a true brain
map** and brain imaging method capable of providing spatio-temporal information …
map** and brain imaging method capable of providing spatio-temporal information …
Deep convolutional neural networks for mental load classification based on EEG data
Electroencephalograph (EEG), the representation of the brain's electrical activity, is a widely
used measure of brain activities such as working memory during cognitive tasks. Varying in …
used measure of brain activities such as working memory during cognitive tasks. Varying in …
EEG-ConvTransformer for single-trial EEG-based visual stimulus classification
Different categories of visual stimuli evoke distinct activation patterns in the human brain.
These patterns can be captured with EEG for utilization in application such as Brain …
These patterns can be captured with EEG for utilization in application such as Brain …
A representational similarity analysis of the dynamics of object processing using single-trial EEG classification
The recognition of object categories is effortlessly accomplished in everyday life, yet its
neural underpinnings remain not fully understood. In this electroencephalography (EEG) …
neural underpinnings remain not fully understood. In this electroencephalography (EEG) …
[HTML][HTML] Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data
Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …
revolutionary approach to investigate how the brain encodes information. By considering …
Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI
Brain–computer interfaces (BCIs) allow users to control external devices by their intentions.
Currently, most BCI systems are synchronous. They rely on cues or tasks to which a subject …
Currently, most BCI systems are synchronous. They rely on cues or tasks to which a subject …
A tutorial on data-driven methods for statistically assessing ERP topographies
Dynamic changes in ERP topographies can be conveniently analyzed by means of
microstates, the so-called “atoms of thoughts”, that represent brief periods of quasi-stable …
microstates, the so-called “atoms of thoughts”, that represent brief periods of quasi-stable …
A primer on electroencephalography and event-related potentials for organizational neuroscience
Electroencephalography (EEG) was the first of the noninvasive brain measures in
neuroscience. Technical advances over the last 100 years or so have rendered EEG a true …
neuroscience. Technical advances over the last 100 years or so have rendered EEG a true …
Progression of auditory discrimination based on neural decoding predicts awakening from coma
Auditory evoked potentials are informative of intact cortical functions of comatose patients.
The integrity of auditory functions evaluated using mismatch negativity paradigms has been …
The integrity of auditory functions evaluated using mismatch negativity paradigms has been …