Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
Abstract The Organization for Human Brain Map** (OHBM) has been active in advocating
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
Psychological and physiological effects of a green wall on occupants: A cross-over study in virtual reality
Social change due to COVID-19 has had negative impacts on the mental health of people
who live indoors. One of the possible solutions to these problems is to introduce biophilic …
who live indoors. One of the possible solutions to these problems is to introduce biophilic …
[HTML][HTML] # EEGManyLabs: Investigating the replicability of influential EEG experiments
There is growing awareness across the neuroscience community that the replicability of
findings about the relationship between brain activity and cognitive phenomena can be …
findings about the relationship between brain activity and cognitive phenomena can be …
[HTML][HTML] The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies
Whereas the link between psychosocial stress and health complications has long been
established, the influence of psychosocial stress on brain activity is not yet completely …
established, the influence of psychosocial stress on brain activity is not yet completely …
Introducing RELAX: An automated pre-processing pipeline for cleaning EEG data-Part 1: Algorithm and application to oscillations
Objective Electroencephalographic (EEG) data are often contaminated with non-neural
artifacts which can confound experimental results. Current artifact cleaning approaches …
artifacts which can confound experimental results. Current artifact cleaning approaches …
RELAX part 2: A fully automated EEG data cleaning algorithm that is applicable to Event-Related-Potentials
Objective Electroencephalography (EEG) is often used to examine neural activity time-
locked to stimuli presentation, referred to as Event-Related Potentials (ERP). However, EEG …
locked to stimuli presentation, referred to as Event-Related Potentials (ERP). However, EEG …
Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG
M Klug, NA Kloosterman - Human Brain Map**, 2022 - Wiley Online Library
Removing power line noise and other frequency‐specific artifacts from electrophysiological
data without affecting neural signals remains a challenging task. Recently, an approach was …
data without affecting neural signals remains a challenging task. Recently, an approach was …
[HTML][HTML] The data-processing multiverse of event-related potentials (ERPs): A roadmap for the optimization and standardization of ERP processing and reduction …
In studies of event-related brain potentials (ERPs), numerous decisions about data
processing are required to extract ERP scores from continuous data. Unfortunately, the …
processing are required to extract ERP scores from continuous data. Unfortunately, the …
[HTML][HTML] EEG Integrated Platform Lossless (EEG-IP-L) pre-processing pipeline for objective signal quality assessment incorporating data annotation and blind source …
JA Desjardins, S van Noordt, S Huberty… - Journal of Neuroscience …, 2021 - Elsevier
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 …
researchers gain access to vast computational resources; however, the field currently lacks …