Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023‏ - mdpi.com
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 …

Towards the utilization of EEG as a brain imaging tool

CM Michel, MM Murray - Neuroimage, 2012‏ - Elsevier
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 …

Real-time neuroimaging and cognitive monitoring using wearable dry EEG

TR Mullen, CAE Kothe, YM Chi, A Ojeda… - IEEE transactions on …, 2015‏ - ieeexplore.ieee.org
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 …

Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography

Y Zhang, W Wu, RT Toll, S Naparstek… - Nature biomedical …, 2021‏ - nature.com
The understanding and treatment of psychiatric disorders, which are known to be
neurobiologically and clinically heterogeneous, could benefit from the data-driven …

Brain–computer interface boosts motor imagery practice during stroke recovery

F Pichiorri, G Morone, M Petti, J Toppi… - Annals of …, 2015‏ - Wiley Online Library
Objective Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its
benefits are debatable. Brain–computer interfaces (BCIs) can provide instantaneous and …

[HTML][HTML] How reliable are MEG resting-state connectivity metrics?

GL Colclough, MW Woolrich, PK Tewarie, MJ Brookes… - Neuroimage, 2016‏ - Elsevier
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 …

Electrophysiological brain connectivity: theory and implementation

B He, L Astolfi, PA Valdés-Sosa… - IEEE transactions on …, 2019‏ - ieeexplore.ieee.org
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

A study of problems encountered in Granger causality analysis from a neuroscience perspective

PA Stokes, PL Purdon - Proceedings of the national academy of sciences, 2017‏ - pnas.org
Granger causality methods were developed to analyze the flow of information between time
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

A Saeedi, M Saeedi, A Maghsoudi, A Shalbaf - Cognitive neurodynamics, 2021‏ - Springer
Deep learning techniques have recently made considerable advances in the field of artificial
intelligence. These methodologies can assist psychologists in early diagnosis of mental …

A review of physical and cognitive interventions in aging

PD Bamidis, AB Vivas, C Styliadis, C Frantzidis… - Neuroscience & …, 2014‏ - Elsevier
Maintaining a healthy brain is a critical factor for the quality of life of elderly individuals and
the preservation of their independence. Challenging aging brains through cognitive training …