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Frequency Domain Simultaneous Source and Source Coherence Estimation With an Application to MEG

R.P.P.P. Grasman, H.M. Huizenga, L.J. Waldorp, K.B.E. Bocker, P.C.M. Molenaar
2004 IEEE Transactions on Biomedical Engineering  
Frequency domain simultaneous source and source coherence estimation with an application to MEG. IEEE Transactions on Biomedical Engineering, 51(1), 45-55.  ...  We present a method for simultaneous estimation of source location and orientation parameters and cross-spectral parameters to overcome these problems.  ...  ACKNOWLEDGMENT The authors would like to thank C. V. Dolan for his helpful comments. They would also like to thank the anonymous reviewers for their effort and valuable comments.  ... 
doi:10.1109/tbme.2003.820385 pmid:14723493 fatcat:wht75bkntjf5ngxfeznqgb4s4q

Electrophysiological Brain Connectivity: Theory and Implementation

Bin He, Laura Astolfi, Pedro A. Valdes-Sosa, Daniele Marinazzo, Satu Palva, Christian G. Benar, Christoph M. Michel, Thomas Koenig
2019 IEEE Transactions on Biomedical Engineering  
Various connectivity estimators are discussed, and algorithms introduced. Important issues for estimating and mapping brain functional connectivity with electrophysiology are discussed.  ...  This tutorial is aimed at providing an introduction to brain functional connectivity from electrophysiological signals, including electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography  ...  Efforts were also made to estimate sources and connectivity simultaneously from EEG/MEG.  ... 
doi:10.1109/tbme.2019.2913928 pmid:31071012 pmcid:PMC6834897 fatcat:qqxxwzgbkbh37je7ztfjjkpima

Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients

Vladimir Litvak, Alexandre Eusebio, Ashwani Jha, Robert Oostenveld, Gareth R. Barnes, William D. Penny, Ludvic Zrinzo, Marwan I. Hariz, Patricia Limousin, Karl J. Friston, Peter Brown
2010 NeuroImage  
We demonstrate how beamforming makes it possible to localize cortical regions whose activity is coherent with the STN-LFP, extract artefact-free virtual electrode time-series from regions of interest and  ...  We recorded, simultaneously, magnetoencephalographic (MEG) signals and subcortical local field potentials (LFP) in a Parkinson's disease (PD) patient with bilateral deep brain stimulation (DBS) electrodes  ...  Acknowledgments We would like to thank David Bradbury, Janice Glensman, Zoe Chen and James Kilner for their assistance with conducting the experiments and Jan-Mathijs Schoffelen and Stefan Debener for  ... 
doi:10.1016/j.neuroimage.2009.12.115 pmid:20056156 pmcid:PMC3221048 fatcat:zxtaztyvvjfhhnqwyb6j3nkrq4

Beamformer Source Analysis and Connectivity on Concurrent EEG and MEG Data during Voluntary Movements

Muthuraman Muthuraman, Helge Hellriegel, Nienke Hoogenboom, Abdul Rauf Anwar, Kidist Gebremariam Mideksa, Holger Krause, Alfons Schnitzler, Günther Deuschl, Jan Raethjen, Francesco Di Russo
2014 PLoS ONE  
The signal-to-noise ratio (SNR) level of the coherent rhythmic activity at the tapping frequency in MEG and combined MEG+EEG data was significantly higher than EEG alone.  ...  subjects using a beamformer approach called the dynamic imaging of coherent sources (DICS) with subsequent source signal reconstruction and renormalized partial directed coherence analysis (RPDC).  ...  MEG and EEG were recorded simultaneously using an Elekta Neuromag system.  ... 
doi:10.1371/journal.pone.0091441 pmid:24618596 pmcid:PMC3949988 fatcat:ddbaru4cifelzbdtzsamcdam5e

Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics

Bin He, Abbas Sohrabpour, Emery Brown, Zhongming Liu
2018 Annual Review of Biomedical Engineering  
Electrophysiological source imaging estimates the underlying brain electrical sources from EEG and MEG measurements.  ...  Integration of electrophysiological source imaging and functional magnetic resonance imaging could further enhance spatiotemporal resolution and specificity to an extent that is not attainable with either  ...  ACKNOWLEDGEMENTS This work was supported in part by NIH EB021027, NS096761, MH114233, AT009263, EY023101, MH104402, EB008389, HL117664, NSF CBET-1450956, and NSF DGE-1069104.  ... 
doi:10.1146/annurev-bioeng-062117-120853 pmid:29494213 pmcid:PMC7941524 fatcat:xypqgl7snbbnnidrn5ddepj6tu

A review of EEG and MEG for brainnetome research

Xin Zhang, Xu Lei, Ting Wu, Tianzi Jiang
2013 Cognitive Neurodynamics  
Because of EEG/MEG's applicability to brainnetome analyses, the aim of this review is to identify the procedures that can be used to form a network using EEG/MEG data in sensor or source space and to promote  ...  Some potential applications of the EEG/MEG brainnetome are to use newly developed methods to associate the properties of a brainnetome with indices of cognition or disease conditions.  ...  Acknowledgments We appreciate discussions with Rhoda E. and  ... 
doi:10.1007/s11571-013-9274-9 pmid:24624229 pmcid:PMC3945460 fatcat:6jjnffm5zfhtbgovklf45eogja

Optimal spatial filtering for brain oscillatory activity using the Relevance Vector Machine

P. Belardinelli, A. Jalava, J. Gross, J. Kujala, R. Salmelin
2013 Cognitive Processing  
The performance of our frequency-domain RVM method (fdRVM) was compared with that of dynamic imaging of coherent sources (DICS), a frequency-domain spatial filter that employs a minimum variance adaptive  ...  The methods were tested both on simulated and real data. Two types of simulated MEG data sets were generated, one with continuous source activity and the other with transiently active sources.  ...  We simulated two 10-min data sets, one with 'steadystate' (with respect to the time-analysis window) sources S1 S2 S3 S3 S2 S1 and another with 'transient' sources, for the following reasons: (a) Frequency-domain  ... 
doi:10.1007/s10339-013-0568-y pmid:23729235 fatcat:p4arkduc2zbwheb3ohwf6xq6nu

Coherent neural representation of hand speed in humans revealed by MEG imaging

K. Jerbi, J.-P. Lachaux, K. N'Diaye, D. Pantazis, R. M. Leahy, L. Garnero, S. Baillet
2007 Proceedings of the National Academy of Sciences of the United States of America  
We used coherence and phase synchronization to investigate the coupling between the estimated activity throughout the brain and the simultaneously recorded instantaneous hand speed.  ...  Here, we applied magnetoencephalography (MEG) source imaging to the ongoing brain activity in subjects performing a continuous visuomotor (VM) task.  ...  Chavez, and J. Martinerie for helpful discussions and S. Dehaene for comments on an earlier version of the manuscript.  ... 
doi:10.1073/pnas.0609632104 pmid:17442753 pmcid:PMC1863498 fatcat:jui7rg5nvrgcfglk7rbg5jtvqm

EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network

Muthuraman Muthuraman, Vera Moliadze, Kidist Gebremariam Mideksa, Abdul Rauf Anwar, Ulrich Stephani, Günther Deuschl, Christine M. Freitag, Michael Siniatchkin, Francesco Di Russo
2015 PLoS ONE  
Here, EEG (64-channel system) and MEG (275 sensor system) were recorded simultaneously in conditions with eyes open (EO) and eyes closed (EC) in 29 healthy adults.  ...  It remains an open question as to whether the integration of EEG and MEG data would improve the information obtained from the above mentioned parameters.  ...  Dynamic imaging of coherent sources (DICS) is one of the source analysis techniques in the frequency domain.  ... 
doi:10.1371/journal.pone.0140832 pmid:26509448 pmcid:PMC4624977 fatcat:zziebm4nwrca5nx5quqh7kezl4

Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python

Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Jan Kujala
2018 Frontiers in Neuroscience  
DICS is a beamforming technique in the frequency-domain that enables the study of the cortical sources of oscillatory activity and synchronization between brain regions.  ...  In this paper, we describe a full data analysis pipeline for functional connectivity analysis based on dynamic imaging of coherent sources (DICS) of MEG data.  ...  ACKNOWLEDGMENTS We would like to thank Britta Westner, Sarang S. Dalal, Eric Larson, and Alexandre Gramfort for their help with reviewing the code.  ... 
doi:10.3389/fnins.2018.00586 pmid:30271317 pmcid:PMC6146299 fatcat:ngxsrfpggbff5ewkjyaiwoz4r4

Measuring the cortical tracking of speech with optically-pumped magnetometers

Paul de Lange, Elena Boto, Niall Holmes, Ryan M. Hill, Richard Bowtell, Vincent Wens, Xavier De Tiège, Matthew J. Brookes, Mathieu Bourguignon
2021 NeuroImage  
The radial component of the magnetic field was recorded simultaneously with 45-46 OPMs evenly covering the scalp surface and fixed to an additively manufactured helmet which fitted all 4 participants.  ...  We estimated CTS with reconstruction accuracy and coherence, and determined the number of dominant principal components (PCs) to remove from the data (as a preprocessing step) for optimal estimation.  ...  Acknowledgements The SQUID-based and OPM-based MEG projects at the CUB Hôpital Erasme are financially supported by the Fonds Erasme (Brussels, Belgium).  ... 
doi:10.1016/j.neuroimage.2021.117969 pmid:33744453 fatcat:kpd6vx5tvjdrzewdygdj7ezzi4

A Comprehensive Review of Magnetoencephalography (MEG) Studies for Brain Functionality in Healthy Aging and Alzheimer's Disease (AD)

Pravat K. Mandal, Anwesha Banerjee, Manjari Tripathi, Ankita Sharma
2018 Frontiers in Computational Neuroscience  
Neural oscillations were established with their association with neurophysiological activities and the altered rhythmic patterns are believed to be linked directly to the progression of cognitive decline  ...  It is also important to note that MEG data can also be utilized for the same pursuit in combination with other imaging modalities.  ...  ACKNOWLEDGMENTS PKM (Principal Investigator) thanks for financial support from TATA innovation fellowship from Ministry of Science and Technology, Government of India. Sincere thanks to Prof.  ... 
doi:10.3389/fncom.2018.00060 pmid:30190674 pmcid:PMC6115612 fatcat:u2jaxvd6xrf6jfesn4hy7eumdy

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Raoul P.P.P. Grasman, Hilde M. Huizenga, Lourens J. Waldorp, Peter C.M. Molenaar, Koen B.E. Böcker
2005 Digital signal processing (Print)  
., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed.  ...  Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro-or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence  ...  is known to deteriorate with coherent sources.  ... 
doi:10.1016/j.dsp.2004.09.003 fatcat:7mrydao43be6hhep57h5yuwbka

Multimodal alterations of directed connectivity profiles in patients with attention-deficit/hyperactivity disorders

Muthuraman Muthuraman, Vera Moliadze, Lena Boecher, Julia Siemann, Christine M. Freitag, Sergiu Groppa, Michael Siniatchkin
2019 Scientific Reports  
The dynamic characterization of coherent sources and temporal partial directed coherence, as measures of functional and effective connectivity, were applied to multimodal resting EEG and MEG data obtained  ...  We achieved an accuracy of 98% by combining features from all five studied frequency bands.  ...  All authors have approved the submitted version and agreed both to be personally accountable for the author's own contributions and to ensure that questions related to the accuracy or integrity of any  ... 
doi:10.1038/s41598-019-56398-8 pmid:31882672 pmcid:PMC6934806 fatcat:bke3bh5pj5glbf7wx44lcz4dqa

Event-Related Coherence in Visual Cortex and Brain Noise: An MEG Study

Parth Chholak, Semen A. Kurkin, Alexander E. Hramov, Alexander N. Pisarchik
2021 Applied Sciences  
Before coherence and brain noise calculations, MEG data were first transformed from recorded channel data to brain source waveforms by solving the inverse problem.  ...  We found that stronger brain entrainment to the visual stimuli concurred with higher brain noise in both studies.  ...  Acknowledgments: The authors graciously acknowledge the subjects for their contribution to this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11010375 fatcat:axcofvnwkjfoffhkq3qnb3uha4
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