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 …

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 …

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 …

Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks

Q Li, KKH Ng, CM Simon, CY Yiu, M Lyu - Knowledge-Based Systems, 2023 - Elsevier
The rate of human errors would increase as air traffic control officers (ATCOs) lose situation
awareness (SA), which could also be affected by their perceived workloads. Recognising …

Brain functional and effective connectivity based on electroencephalography recordings: A review

J Cao, Y Zhao, X Shan, H Wei, Y Guo… - Human brain …, 2022 - Wiley Online Library
Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …

A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes

L Faes, G Mijatovic, Y Antonacci… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
While the standard network description of complex systems is based on quantifying the link
between pairs of system units, higher-order interactions (HOIs) involving three or more units …

EEG based dynamic functional connectivity analysis in mental workload tasks with different types of information

K Guan, Z Zhang, X Chai, Z Tian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accurate evaluation of operators' mental workload in human-machine systems plays an
important role in ensuring the correct execution of tasks and the safety of operators …

Interictal SEEG resting‐state connectivity localizes the seizure onset zone and predicts seizure outcome

H Jiang, V Kokkinos, S Ye, A Urban, A Bagić… - Advanced …, 2022 - Wiley Online Library
Localization of epileptogenic zone currently requires prolonged intracranial recordings to
capture seizure, which may take days to weeks. The authors developed a novel method to …

ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework

M Bakhtyari, S Mirzaei - Biomedical Signal Processing and Control, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental behavioral disorder.
It is common in children, can be carried over into adulthood, and is associated with …

Cross-task cognitive workload recognition based on EEG and domain adaptation

Y Zhou, Z Xu, Y Niu, P Wang, X Wen… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Cognitive workload recognition is pivotal to maintain the operator's health and prevent
accidents in the human-robot interaction condition. So far, the focus of workload research is …