Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group

A Comanducci, M Boly, J Claassen, M De Lucia… - Clinical …, 2020 - Elsevier
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 …

Towards the utilization of EEG as a brain imaging tool

CM Michel, MM Murray - Neuroimage, 2012 - Elsevier
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 …

Deep convolutional neural networks for mental load classification based on EEG data

Z Jiao, X Gao, Y Wang, J Li, H Xu - Pattern Recognition, 2018 - Elsevier
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 …

EEG-ConvTransformer for single-trial EEG-based visual stimulus classification

S Bagchi, DR Bathula - Pattern Recognition, 2022 - Elsevier
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 …

A representational similarity analysis of the dynamics of object processing using single-trial EEG classification

B Kaneshiro, M Perreau Guimaraes, HS Kim… - Plos one, 2015 - journals.plos.org
The recognition of object categories is effortlessly accomplished in everyday life, yet its
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

G Marsicano, C Bertini, L Ronconi - Neuroscience & Biobehavioral …, 2024 - Elsevier
Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
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

MH Lee, S Fazli, J Mehnert, SW Lee - Pattern Recognition, 2015 - Elsevier
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 …

A tutorial on data-driven methods for statistically assessing ERP topographies

T Koenig, M Stein, M Grieder, M Kottlow - Brain topography, 2014 - Springer
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 …

A primer on electroencephalography and event-related potentials for organizational neuroscience

RI Tivadar, MM Murray - Organizational Research Methods, 2019 - journals.sagepub.com
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 …

Progression of auditory discrimination based on neural decoding predicts awakening from coma

A Tzovara, AO Rossetti, L Spierer, J Grivel, MM Murray… - Brain, 2013 - academic.oup.com
Auditory evoked potentials are informative of intact cortical functions of comatose patients.
The integrity of auditory functions evaluated using mismatch negativity paradigms has been …