Advances in electrical source imaging: a review of the current approaches, applications and challenges

I Zorzos, I Kakkos, EM Ventouras, GK Matsopoulos - Signals, 2021 - mdpi.com
Brain source localization has been consistently implemented over the recent years to
elucidate complex brain operations, pairing the high temporal resolution of the EEG with the …

Real-time deep neurolinguistic learning enhances noninvasive neural language decoding for brain–machine interaction

JH Jeong, JH Cho, BH Lee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Electroencephalogram (EEG)-based brain–machine interface (BMI) has been utilized to
help patients regain motor function and has recently been validated for its use in healthy …

A survey of brain network analysis by electroencephalographic signals

C Luo, F Li, P Li, C Yi, C Li, Q Tao, X Zhang, Y Si… - Cognitive …, 2022 - Springer
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

[HTML][HTML] EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as …

M Kapitány-Fövény, M Vetró, G Révy, D Fabó… - Journal of Psychiatric …, 2024 - Elsevier
Background Objective diagnostic approaches need to be tested to enhance the efficacy of
depression detection. Non-invasive EEG-based identification represents a promising area …

Contextual acquisition of concrete and abstract words: behavioural and electrophysiological evidence

N Mkrtychian, D Gnedykh, E Blagovechtchenski… - Brain sciences, 2021 - mdpi.com
Abstract and concrete words differ in their cognitive and neuronal underpinnings, but the
exact mechanisms underlying these distinctions are unclear. We investigated differences …

Neural mechanisms underlying competition-induced optimal decisions in individuals with high entrepreneurial intention

Z Liu, J Ma, S Shi, Z Liu - Biological Psychology, 2024 - Elsevier
In a rapidly changing and uncertain business environment, individuals with high
entrepreneurial intention (HEI) inevitably need to compete or cooperate with others to …

Pre-to Postoperative Longitudinal Follow-up of Phoneme Perception in Glioma Patients: Evidence from the Mismatch Negativity and P300

Y Criel, E Baert, JP Kalala Okito, G Hallaert… - Aphasiology, 2024 - Taylor & Francis
ABSTRACT Background and Aims Glioma growth in eloquent language areas induces
adaptive activation changes in the language network. The present study aimed to (1) …

Overlapping connectivity patterns during semantic processing of abstract and concrete words revealed with multivariate Granger Causality analysis

M Fahimi Hnazaee, E Khachatryan, S Chehrazad… - Scientific reports, 2020 - nature.com
Abstract, unlike concrete, nouns refer to notions beyond our perception. Even though there
is no consensus among linguists as to what exactly constitutes a concrete or abstract word …

Simulation study on high spatio-temporal resolution acousto-electrophysiological neuroimaging

R Schoeters, T Tarnaud, L Martens… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Acousto-electrophysiological neuroimaging (AENI) is a technique hypothesized to
record electrophysiological activity of the brain with millimeter spatial and sub-millisecond …

Robust Bayesian estimation of multiscale brain source activity using MEG data

J Lin, J Wang, C Cai - 2024 IEEE Biomedical Circuits and …, 2024 - ieeexplore.ieee.org
Robust estimation of multiscale brain source activity has long been a challenge task. The
challenge is not only from the reconstruction of thousands of complex brain sources from few …