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 …
[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 …
Time and frequency domain analysis of EEG signals for seizure detection: A review
VK Harpale, VK Bairagi - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Electroencephalography is non-invasive tool used in monitoring brain activities and
diagnosis of many neurological disorders. EEG is a measurement tool to measure electrical …
diagnosis of many neurological disorders. EEG is a measurement tool to measure electrical …
Connectivity differences between consciousness and unconsciousness in non-rapid eye movement sleep: a TMS–EEG study
The neuronal connectivity patterns that differentiate consciousness from unconsciousness
remain unclear. Previous studies have demonstrated that effective connectivity, as assessed …
remain unclear. Previous studies have demonstrated that effective connectivity, as assessed …
Specialized medial prefrontal–amygdala coordination in other-regarding decision preference
Social behaviors recruit multiple cognitive operations that require interactions between
cortical and subcortical brain regions. Interareal synchrony may facilitate such interactions …
cortical and subcortical brain regions. Interareal synchrony may facilitate such interactions …
Topological filtering of dynamic functional brain networks unfolds informative chronnectomics: a novel data-driven thresholding scheme based on orthogonal minimal …
SI Dimitriadis, C Salis, I Tarnanas… - Frontiers in …, 2017 - frontiersin.org
The human brain is a large-scale system of functionally connected brain regions. This
system can be modeled as a network, or graph, by dividing the brain into a set of regions, or …
system can be modeled as a network, or graph, by dividing the brain into a set of regions, or …
The dynamic brain networks of motor imagery: time-varying causality analysis of scalp EEG
Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which
involves a large-scale network that spans multiple brain areas. The corresponding cortical …
involves a large-scale network that spans multiple brain areas. The corresponding cortical …
Early diagnosis of Parkinson's disease using EEG, machine learning and partial directed coherence
APS De Oliveira, MA De Santana… - Research on Biomedical …, 2020 - Springer
Background Parkinson's disease (PD) is a neurodegenerative disease, which has an
upward progression. In advanced stages, motor symptoms cause functional impairment to …
upward progression. In advanced stages, motor symptoms cause functional impairment to …
The time-varying networks in P300: a task-evoked EEG study
P300 is an important event-related potential that can be elicited by external visual, auditory,
and somatosensory stimuli. Various cognition-related brain functions (ie, attention …
and somatosensory stimuli. Various cognition-related brain functions (ie, attention …
[图书][B] Handbook of neuroimaging data analysis
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …
neuroimaging data. It examines the development of novel statistical approaches to model …