Filters








17,683 Hits in 6.9 sec

Estimation of Cortical Connectivity From EEG Using State-Space Models

B L P Cheung, B A Riedner, G Tononi, B Van Veen
2010 IEEE Transactions on Biomedical Engineering  
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

Yuxiao Wang, Chee-Ming Ting, Hernando Ombao
2016 IEEE Journal on Selected Topics in Signal Processing  
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

Laura Astolfi, Andrzej Cichocki, Fabio Babiloni
2009 Computational Intelligence and Neuroscience  
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

S. Balqis Samdin, Chee-Ming Ting, Sh-Hussain Salleh, Mahyar Hamedi, A. B. Mohd Noor
2014 2014 IEEE Workshop on Statistical Signal Processing (SSP)  
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

Fani Deligianni, Maria Centeno, David W. Carmichael, Jonathan D. Clayden
2014 Frontiers in Neuroscience  
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

B. L. P. Cheung, R. Nowak, Hyong Chol Lee, W. Drongelen, B. D. Veen
2012 IEEE Transactions on Biomedical Engineering  
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

Bing Leung, Patrick Cheung, Barry D. Van Veen
2008 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
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

Richard E. Rosch, Sukhvir Wright, Gerald Cooray, Margarita Papadopoulou, Sushma Goyal, Ming Lim, Angela Vincent, A. Louise Upton, Torsten Baldeweg, Karl J. Friston
2018 Proceedings of the National Academy of Sciences of the United States of America  
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

Michael Lenz, Mariachristina Musso, Yannick Linke, Oliver Tüscher, Jens Timmer, Cornelius Weiller, Björn Schelter
2011 Physiological Measurement  
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]

Qing Wang, Pedro Antonio Valdes-Hernandez, Jorge Bosch-Bayard, Naoya Oosugi, Misako Komatsu, Naotaka Fujii, Pedro Antonio Valdes-Sosa
2018 bioRxiv   pre-print
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

Samuel Deslauriers-Gauthier, Rachid Deriche, Andrzej Krol, Barjor Gimi
2019 Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging  
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]

Sahar Allouch, Maxime Yochum, Aya Kabbara, Joan Duprez, Mohamad Khalil, Fabrice Wendling, Mahmoud Hassan, Julien Modolo
2020 bioRxiv   pre-print
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

S. Makeig, C. Kothe, T. Mullen, N. Bigdely-Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado
2012 Proceedings of the IEEE  
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

Qing Wang, Pedro Antonio Valdés-Hernández, Deirel Paz-Linares, Jorge Bosch-Bayard, Naoya Oosugi, Misako Komatsu, Naotaka Fujii, Pedro Antonio Valdés-Sosa
2019 Brain Topography  
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]

Richard E Rosch, Sukhvir Wright, Gerald Cooray, Margarita Papadopoulou, Sushma Goyal, Ming Lim, Angela Vincent, Louise A Upton, Torsten Baldeweg, Karl J Friston
2017 bioRxiv   pre-print
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
« Previous Showing results 1 — 15 out of 17,683 results