Towards the utilization of EEG as a brain imaging tool
Recent advances in signal analysis have engendered EEG with the status of a true brain
map** and brain imaging method capable of providing spatio-temporal information …
map** and brain imaging method capable of providing spatio-temporal information …
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 …
Real-time neuroimaging and cognitive monitoring using wearable dry EEG
Goal: We present and evaluate a wearable high-density dry-electrode EEG system and an
open-source software framework for online neuroimaging and state classification. Methods …
open-source software framework for online neuroimaging and state classification. Methods …
Brain–computer interface boosts motor imagery practice during stroke recovery
Objective Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its
benefits are debatable. Brain–computer interfaces (BCIs) can provide instantaneous and …
benefits are debatable. Brain–computer interfaces (BCIs) can provide instantaneous and …
Wiener–Granger causality: a well established methodology
For decades, the main ways to study the effect of one part of the nervous system upon
another have been either to stimulate or lesion the first part and investigate the outcome in …
another have been either to stimulate or lesion the first part and investigate the outcome in …
Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
The understanding and treatment of psychiatric disorders, which are known to be
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
[HTML][HTML] How reliable are MEG resting-state connectivity metrics?
MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …
unavailable in fMRI. However, there are a wide range of available network estimation …
A study of problems encountered in Granger causality analysis from a neuroscience perspective
PA Stokes, PL Purdon - … of the national academy of sciences, 2017 - National Acad Sciences
Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …
series. These methods have become more widely applied in neuroscience. Frequency …
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Deep learning techniques have recently made considerable advances in the field of artificial
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …