EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

@article{Courellis2017EEGBasedQO,
  title={EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks},
  author={Hristos S. Courellis and Tim R. Mullen and Howard Poizner and Gert Cauwenberghs and John Rehner Iversen},
  journal={Frontiers in Neuroscience},
  year={2017},
  volume={11}
}
Quantification of dynamic causal interactions among brain regions constitutes an important component of conducting research and developing applications in experimental and translational neuroscience. Furthermore, cortical networks with dynamic causal connectivity in brain-computer interface (BCI) applications offer a more comprehensive view of brain states implicated in behavior than do individual brain regions. However, models of cortical network dynamics are difficult to generalize across… 

Ld-EEG Effective Brain Connectivity in Patients With Cheyne-Stokes Respiration

TLDR
A framework for the assessment of cortico-cortical interactions from Electroencephalographic signals acquired using low-density caps and block-design paradigms, arising from endogenous triggers is presented, combining ICA-decomposition, unsupervised clustering, MVAR modelling and a permutation-bootstrap strategy for evaluating significant connectivity differences between conditions.

Using a Novel Approach to Assess Dynamic Cortical Connectivity Changes Following Neurofeedback Training in Children on the Autism Spectrum

Epileptic source connectivity analysis based on estimating of dynamic time series of regions of interest

TLDR
The proposed ROI time series estimation directly affects the quality of connectivity analysis, leading to the best possible seizure onset zone (SOZ) localization verified by electrocorticography and post-operational results.

Cortical network and connectivity underlying hedonic olfactory perception

TLDR
The findings suggest that, after the odor onset different, bidirectional interactions occur between the OFC and other brain regions associated with emotion recognition/categorization and memory according to the stimulus valence, unveiling how the hedonic olfactory network dynamically changes based on odor valence.

Network Brain-Computer Interface (nBCI): An Alternative Approach for Cognitive Prosthetics

TLDR
It is suggested that network science is a natural language in which to formulate and apply robust tools to quantify time-varying and task-dependent brain states predictive of cognitive performance and that nBCI could provide a powerful approach for future applications in cognitive prosthetics.

A Novel Methodology to Study Synchrony, Causality and Delay in EEG Data

TLDR
A new methodology for studying synchrony in EEG data is presented, which includes synchrony detection and a novel mechanism to estimate delay magnitude and sign - hence causality - between narrow bandwidth signals and achieves a superior performance in causality estimation.

Fast and robust Block-Sparse Bayesian learning for EEG source imaging

Brain connectivity evaluation during selective attention using EEG-based brain-computer interface

ABSTRACTAttentional deficits may be caused by neurological diseases, including Attention-Deficit/Hyperactivity Disorder (ADHD), Alzheimer’s disease (AD), Traumatic Brain Injuries (TBI), etc. This w...

References

SHOWING 1-10 OF 53 REFERENCES

A bayesian spatiotemporal model for multi-subject EEG source dynamics and effective connectivity

TLDR
A Bayesian spatiotemporal model for multi-subject source-localized EEG which provides group inferences on the spatial locations and causal relationships among localized sources and can be generalized to other non-ICA approaches for separation and localization of dipolar sources, such as beamforming.

Causal analysis of cortical networks involved in reaching to spatial targets

  • J. IversenA. Ojeda H. Poizner
  • Biology, Psychology
    2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2014
TLDR
This work model causal interactions of distributed cortical source activity derived from non-invasively recorded EEG using a combination of ICA, minimum-norm distributed source localization (cLORETA), and dynamical modeling within the Source Information Flow Toolbox (SIFT).

Dynamics of event‐related causality in brain electrical activity

TLDR
The ERC approach is demonstrated through its application to human electrocorticographic recordings (ECoG) of a simple language task and reveals frequency‐dependent interactions, particularly in high gamma (>60 Hz) frequencies, between brain regions known to participate in the recorded language task.

The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study

TLDR
The data demonstrate that spontaneous BOLD fluctuations within the DMN are associated with different EEG-bands and strengthen the conclusion that this network is characterized by a specific electrophysiological signature created by combination of different brain rhythms subserving different putative functions.

Real-time neuroimaging and cognitive monitoring using wearable dry EEG

TLDR
This paper is the first validated application of real-time cortical connectivity analysis and cognitive state classification from highdensity wearable dry EEG to 64-channel dry EEG, addressing a need for robust real- time measurement and interpretation of complex brain activity in the dynamic environment of the wearable setting.

Improved recognition of error related potentials through the use of brain connectivity features

TLDR
Evidence that the use of connectivity features improve the performance of an EEG based BCI is provided, and it is shown that brain connectivity at theta band around 200ms after stimuli carry highly discriminant information between error and correct trials.

A review on functional and structural brain connectivity in numerical cognition

TLDR
These specifications of brain connectivity augment the triple-code model of number processing and calculation with respect to how gray matter areas associated with specific number-related representations may work together.

Functional Brain Connectivity as a New Feature for P300 Speller

TLDR
The functional connectivity quantified by the phase locking value (PLV) was introduced to characterize the evoked responses (ERPs) obtained in the case of target and non-targets visual stimuli and showed an overall improvement of the performance of the P300-speller when using Peak picking, the area and frequency based features.

Decoding and cortical source localization for intended movement direction with MEG.

TLDR
It is suggested that it is possible to study cortical representation of specific movement information using MEG, and such studies may aid in presurgical localization of optimal sites for implanting electrodes for BCI systems.

EEG Gamma Band Oscillations Differentiate the Planning of Spatially Directed Movements of the Arm Versus Eye: Multivariate Empirical Mode Decomposition Analysis

TLDR
Multivariate empirical mode decomposition (MEMD), a data-driven approach that does not employ predefined basis functions, is used for the analysis of nonstationary electroencephalographic (EEG) signals, yielding the best classification of the different movement conditions.
...