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Estimation of Cortical Connectivity From EEG Using State-Space Models
2010
IEEE Transactions on Biomedical Engineering
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A state-space formulation is introduced for estimating multivariate autoregressive (MVAR) models of cortical connectivity from noisy, scalp recorded EEG. ...
A state equation represents the MVAR model of cortical dynamics while an observation equation describes the physics relating the cortical signals to the measured EEG and the presence of spatially correlated ...
Alex Shackman and Yuval Nir for helpful discussions on performance evaluation using human subject data. ...
doi:10.1109/tbme.2010.2050319
pmid:20501341
pmcid:PMC2923689
fatcat:3in3g56d65e3pptgfoajit73vy
Modeling Effective Connectivity in High-Dimensional Cortical Source Signals
2016
IEEE Journal on Selected Topics in Signal Processing
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The first step in our procedure is to estimate cortical activity from multichannel electroencephalograms (EEG) using anatomically constrained brain imaging methods. ...
These factors are ROI-specific low-rank approximations (or representations) which allow for efficient estimation of connectivity in the high-dimensional cortical source space. ...
Our novel procedure uses multichannel EEG to model and estimate effective connectivity between regions on the brain cortical surface where the number of sources, as modeled by dipoles distributed on a ...
doi:10.1109/jstsp.2016.2600023
fatcat:7vdijcg25vdmxchsb7hd6lrcqy
NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity
2009
Computational Intelligence and Neuroscience
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The use of geometrical constraints on the position of the neural source or sources within the head model generally reduces the solution space (i.e., the set of all possible combinations of the cortical ...
Cortical connectivity estimation aims at describing these interactions as connectivity patterns which hold the direction and strength of the information flow between cortical areas. ...
The use of geometrical constraints on the position of the neural source or sources within the head model generally reduces the solution space (i.e., the set of all possible combinations of the cortical ...
doi:10.1155/2009/275638
pmid:19859564
pmcid:PMC2763412
fatcat:7ksbh55djzdzbencn4teakwv7y
Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm
2014
2014 IEEE Workshop on Statistical Signal Processing (SSP)
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Index Terms-Multivariate autoregressive model, state-space model, EM algorithm, dynamic cortical connectivity, EEG. ...
This paper considers identifying effective cortical connectivity from scalp EEG. ...
Abd-Krim Seghouane from University of Melbourne for valuable comments. This work was supported by the UTM Research University Grant, TIER 1 Q.J130000.2545.06H28. ...
doi:10.1109/ssp.2014.6884605
dblp:conf/ssp/SamdinTSHN14
fatcat:kz3xy6vitbarjhkl4qppk57peu
Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands
2014
Frontiers in Neuroscience
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The performance of predicting fMRI from EEG connectomes is considerably better than predicting EEG from fMRI across all bands, whereas the connectomes derived in low frequency EEG bands resemble best rs-fMRI ...
We relate the covariance matrices of the Hilbert envelope of the source localized EEG signal across bands to the covariance matrices derived from rs-fMRI with the means of statistical prediction based ...
We have used a state of the art approach to estimate the sources from EEG recordings based on beamforming (Brookes et al., 2012) . ...
doi:10.3389/fnins.2014.00258
pmid:25221467
pmcid:PMC4148011
fatcat:srkgcxtatvepbgzvuv2h4p6y4y
Cross Validation for Selection of Cortical Interaction Models From Scalp EEG or MEG
2012
IEEE Transactions on Biomedical Engineering
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A cross-validation (CV) method based on state-space framework is introduced for comparing the fidelity of different cortical interaction models to the measured scalp electroencephalogram (EEG) or magnetoencephalography ...
A state equation models the cortical interaction dynamics and an observation equation represents the scalp measurement of cortical activity and noise. ...
Cross-Validation Analysis of Simulated EEG MVAR and RBF state-space models are fit to the simulated EEG signals from each seizure using both EM and two-stage estimation methods. ...
doi:10.1109/tbme.2011.2174991
pmid:22084038
pmcid:PMC3339867
fatcat:iwvtuuw7uzclnjlyiwnuioiguu
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
2008
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. ...
We develop an expectation-maximization (EM) algorithm to find maximum likelihood estimates of the MVAR model parameters. ...
STATE-SPACE MVAR MODEL FOR EEG/MEG Let y j n and x j n be the j th epoch of l × 1 EEG/MEG measurement data and m × 1 state vector, respectively, at time n. ...
doi:10.1109/isbi.2008.4541226
dblp:conf/isbi/LeungCV08
fatcat:hvfqedvlazexllbigqw4g4vune
NMDA-receptor antibodies alter cortical microcircuit dynamics
2018
Proceedings of the National Academy of Sciences of the United States of America
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Here we show that NMDAR-Abs change intrinsic cortical connections and neuronal population dynamics to alter the spectral composition of spontaneous EEG activity and predispose brain dynamics to paroxysmal ...
Based on local field potential recordings in a mouse model, we first validate a dynamic causal model of NMDAR-Ab effects on cortical microcircuitry. ...
We thank the patients and their families for their contribution to this study and two anonymous reviewers for their constructive feedback on an earlier version of this manuscript. ...
doi:10.1073/pnas.1804846115
fatcat:k5bz6vo36zdvbfqvtxszymploe
Joint EEG/fMRI state space model for the detection of directed interactions in human brains—a simulation study
2011
Physiological Measurement
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A nonlinear state space model is used to distinguish between the underlying brain states and the (simulated) EEG/fMRI measurements. ...
Model parameters are estimated using an expectation-maximization algorithm, which exploits the partial linearity of our model. ...
Acknowledgments This work was supported by the German Science Foundation (Ti315/4-2) and the Excellence Initiative of the German Federal and State Governments. ...
doi:10.1088/0967-3334/32/11/s01
pmid:22027197
fatcat:zax65lzsdfdajkhjgusmdn4wsy
EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons
[article]
2018
bioRxiv
pre-print
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As a demonstration of the possibilities that EECoG-Comp brings, we preliminarily show how resting state connectivity between EEG electrodes misleadingly proxies the more plausible pattern of cortical functional ...
connectivity calculated directly from ESI solutions. ...
of China (NSFC) with funding No. 61871105, 61673090, and 81330032, and CNS Programme of UESTC with No. ...
doi:10.1101/350199
fatcat:icgozd2jmnbcvkfb52ii7wkjfq
Estimation of axonal conduction speed and the inter hemispheric transfer time using connectivity informed maximum entropy on the mean
2019
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
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In CIMEM, a Bayesian network is built using the structural connectivity information between cortical regions. ...
EEG signals are then used as evidence into this network to compute the posterior probability of a connection being active at a particular time. ...
METHODS Our strategy to estimate the IHTT is built on a generative model of the EEG measurements which incorporates both the cortical surface and the underlying white matter connections. ...
doi:10.1117/12.2511736
dblp:conf/mibam/Deslauriers-Gauthier19
fatcat:kwepbpilsnhx3hsrdliidcczmi
Mean-field modeling of brain-scale dynamics for the evaluation of EEG source-space networks
[article]
2020
bioRxiv
pre-print
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We aim at presenting a proof-of-concept of the interest of COALIA in the network neuroscience field, and its potential use in optimizing the EEG source-space network estimation pipeline. ...
Using a bottom-up approach, the model bridges cortical micro-circuitry and large-scale network dynamics. ...
In this study, we used the model to simulate cortical-level sources from which scalp-EEG signals were generated, and then evaluated the effects of EEG channels density, two source reconstruction algorithms ...
doi:10.1101/2020.09.16.299305
fatcat:bj2no2iztfexber2boa642fira
Evolving Signal Processing for Brain–Computer Interfaces
2012
Proceedings of the IEEE
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While performance of current BCI modeling methods is slowly increasing, current performance levels do not yet support widespread uses. ...
in user cognitive state, intent, and response to events are of increasing interest. ...
Acknowledgment The authors would like to thank Zeynep Akalin Acar for use of her EEG simulation (Fig. 1) and Jason Palmer and Clemens Brunner for useful discussions. ...
doi:10.1109/jproc.2012.2185009
fatcat:ebed3ribeneptnatoxaoyzn4xm
EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons—Applications to Connectivity Studies
2019
Brain Topography
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Concurrent electroencephalography (EEG) and electrocorticography (ECoG) experiments (EECoG) are useful for this purpose, especially primate models due to their flexibility and translational value for human ...
These preliminary results may stimulate the development of improved ESI connectivity estimators but require the availability of more EECoG data sets to obtain neurobiologically valid inferences. ...
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, ...
doi:10.1007/s10548-019-00708-w
pmid:31209695
pmcid:PMC6592977
fatcat:3q6w7ciqn5dlzp3vbj3upqajgu
NMDA-receptor antibodies alter cortical microcircuit dynamics
[article]
2017
bioRxiv
pre-print
Preserved Fulltext
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Here, we show that NMDAR-Ab change intrinsic cortical connections and neuronal population dynamics to alter the spectral composition of spontaneous EEG activity, and predispose to paroxysmal EEG abnormalities ...
Based on local field potential recordings in a mouse model, we first validate a dynamic causal model of NMDAR-Ab effects on cortical microcircuitry. ...
The model space was designed to distinguish between sets of models where time constant, inhibitory connections, excitatory connections, or modulatory connections explained variations among conditions. ...
doi:10.1101/160309
fatcat:gltzcl6kbnc2fh6dr6pawz75ii
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