Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
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 …

Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research

C Pernet, MI Garrido, A Gramfort, N Maurits… - Nature …, 2020 - nature.com
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 …

Psychological and physiological effects of a green wall on occupants: A cross-over study in virtual reality

S Yeom, H Kim, T Hong - Building and Environment, 2021 - Elsevier
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 …

[HTML][HTML] # EEGManyLabs: Investigating the replicability of influential EEG experiments

YG Pavlov, N Adamian, S Appelhoff, M Arvaneh… - cortex, 2021 - Elsevier
There is growing awareness across the neuroscience community that the replicability of
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

G Vanhollebeke, S De Smet, R De Raedt, C Baeken… - Neurobiology of …, 2022 - Elsevier
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 …

Introducing RELAX: An automated pre-processing pipeline for cleaning EEG data-Part 1: Algorithm and application to oscillations

NW Bailey, M Biabani, AT Hill, A Miljevic… - Clinical …, 2023 - Elsevier
Objective Electroencephalographic (EEG) data are often contaminated with non-neural
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

NW Bailey, AT Hill, M Biabani, OW Murphy… - Clinical …, 2023 - Elsevier
Objective Electroencephalography (EEG) is often used to examine neural activity time-
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 …

[HTML][HTML] The data-processing multiverse of event-related potentials (ERPs): A roadmap for the optimization and standardization of ERP processing and reduction …

PE Clayson, SA Baldwin, HA Rocha, MJ Larson - NeuroImage, 2021 - Elsevier
In studies of event-related brain potentials (ERPs), numerous decisions about data
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 …