Decoding covert speech from EEG-a comprehensive review
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
[HTML][HTML] Spectrally resolved fast transient brain states in electrophysiological data
The brain is capable of producing coordinated fast changing neural dynamics across
multiple brain regions in order to adapt to rapidly changing environments. However, it is non …
multiple brain regions in order to adapt to rapidly changing environments. However, it is non …
Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG
V Sakkalis - Computers in biology and medicine, 2011 - Elsevier
Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …
main objective of this paper is to present the most modern and widely established …
Partial directed coherence: a new concept in neural structure determination
This paper introduces a new frequency-domain approach to describe the relationships
(direction of information flow) between multivariate time series based on the decomposition …
(direction of information flow) between multivariate time series based on the decomposition …
Nonlinear multivariate analysis of neurophysiological signals
Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …
studying the relationship between simultaneously recorded signals. Recently, advances on …
Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
We consider the question of evaluating causal relations among neurobiological signals. In
particular, we study the relation between the directed transfer function (DTF) and the well …
particular, we study the relation between the directed transfer function (DTF) and the well …
A multi-domain connectome convolutional neural network for identifying schizophrenia from EEG connectivity patterns
CR Phang, F Noman, H Hussain… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Objective: We exploit altered patterns in brain functional connectivity as features for
automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have …
automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have …
Characterizing brain cortical plasticity and network dynamics across the age-span in health and disease with TMS-EEG and TMS-fMRI
Brain plasticity can be conceptualized as nature's invention to overcome limitations of the
genome and adapt to a rapidly changing environment. As such, plasticity is an intrinsic …
genome and adapt to a rapidly changing environment. As such, plasticity is an intrinsic …
Electroencephalographic motor imagery brain connectivity analysis for BCI: a review
M Hamedi, SH Salleh, AM Noor - Neural computation, 2016 - ieeexplore.ieee.org
Recent research has reached a consensus on the feasibility of motor imagery brain-
computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most …
computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most …