Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies

BL Edlow, J Claassen, ND Schiff… - Nature Reviews Neurology, 2021 - nature.com
Substantial progress has been made over the past two decades in detecting, predicting and
promoting recovery of consciousness in patients with disorders of consciousness (DoC) …

[HTML][HTML] TMS combined with EEG: Recommendations and open issues for data collection and analysis

JC Hernandez-Pavon, D Veniero, TO Bergmann… - Brain Stimulation, 2023 - Elsevier
Transcranial magnetic stimulation (TMS) evokes neuronal activity in the targeted cortex and
connected brain regions. The evoked brain response can be measured with …

Deep learning-based electroencephalography analysis: a systematic review

Y Roy, H Banville, I Albuquerque… - Journal of neural …, 2019 - iopscience.iop.org
Context. Electroencephalography (EEG) is a complex signal and can require several years
of training, as well as advanced signal processing and feature extraction methodologies to …

Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review

R Li, D Yang, F Fang, KS Hong, AL Reiss, Y Zhang - Sensors, 2022 - mdpi.com
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …

Sparse Bayesian learning for end-to-end EEG decoding

W Wang, F Qi, DP Wipf, C Cai, T Yu, Y Li… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Decoding brain activity from non-invasive electroencephalography (EEG) is crucial for brain-
computer interfaces (BCIs) and the study of brain disorders. Notably, end-to-end EEG …

The clinical promise of biomarkers of synapse damage or loss in Alzheimer's disease

M Colom-Cadena, T Spires-Jones, H Zetterberg… - Alzheimer's research & …, 2020 - Springer
Background Synapse damage and loss are fundamental to the pathophysiology of
Alzheimer's disease (AD) and lead to reduced cognitive function. The goal of this review is to …

Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

M Congedo, A Barachant, R Bhatia - Brain-Computer Interfaces, 2017 - Taylor & Francis
Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

[图书][B] Fundamentals of brain network analysis

A Fornito, A Zalesky, E Bullmore - 2016 - books.google.com
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

A deep learning approach for automatic seizure detection in children with epilepsy

A Abdelhameed, M Bayoumi - Frontiers in Computational …, 2021 - frontiersin.org
Over the last few decades, electroencephalogram (EEG) has become one of the most vital
tools used by physicians to diagnose several neurological disorders of the human brain and …

[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …

C Babiloni, RJ Barry, E Başar, KJ Blinowska… - Clinical …, 2020 - Elsevier
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …