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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 …
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
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 …
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
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 …
Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks
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 …
awareness (SA), which could also be affected by their perceived workloads. Recognising …
Brain functional and effective connectivity based on electroencephalography recordings: A review
Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
accidents in the human-robot interaction condition. So far, the focus of workload research is …