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Optimal measurement conditions for spatiotemporal eeg/meg source analysis

Hilde M. Huizenga, Dirk J. Heslenfeld, Peter C. M. Molenaar
<span title="">2002</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qnsosrqd6fgupeyjfidmkohdrm" style="color: black;">Psychometrika</a> </i> &nbsp;
Electromagnetic source analysis yields estimates of the sources of the Electro-and/or MagnetoEn-cephaloGram (EEG/MEG) and thus generates a functional description of the human brain.  ...  Key words: spatiotemporal EEG/MEG source analysis, multiresponse nonlinear regression, optimal design, Fedorov exchange We would like to thank Juha Virtanen for his help in collecting the empirical data  ...  Spatiotemporal analysis is based on the multi (T) response nonlinear regression model Y = F(X, 0) + E, where Y, F and E are N by T matrices with measurements, model and noise respectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/bf02294848">doi:10.1007/bf02294848</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lh4uyyu4qndynlcecm3zw6kjry">fatcat:lh4uyyu4qndynlcecm3zw6kjry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170817190924/http://dare.ubvu.vu.nl/bitstream/handle/1871/17302/Huizinga_Psychometrika_67(2)_2002_u.pdf?sequence=2" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/79/91798a45c203235867cb38a0fdfd76c5e8def6b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/bf02294848"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Integration of EEG/MEG with MRI and fMRI

Zhongming Liu, Lei Ding, Bin He
<span title="">2006</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pmtdj6zv2fdcvholrbp6p43mxm" style="color: black;">IEEE Engineering in Medicine and Biology Magazine</a> </i> &nbsp;
In this paper, we review some recent progresses in multimodal neuroimaging, with special emphasis on the integration of EEG, MEG with MRI and fMRI.  ...  Combining EEG/MEG with MRI or/and functional MRI (fMRI) holds promise to significantly increase the spatial resolution of electromagnetic source imaging, and at the same time, allows tracing the rapid  ...  C is the sensor noise covariance matrix, and R is a source covariance matrix derived from fMRI activation maps.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/memb.2006.1657787">doi:10.1109/memb.2006.1657787</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16898658">pmid:16898658</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC1815485/">pmcid:PMC1815485</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l3rfumqwrjehxmuvhfws7x75ka">fatcat:l3rfumqwrjehxmuvhfws7x75ka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191019170806/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC1815485&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c2/7d/c27d471aec97193c2b54a047026b3faca8978a0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/memb.2006.1657787"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1815485" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Estimating evoked dipole responses in unknown spatially correlated noise with EEG/MEG arrays

A. Dogandzic, A. Nehorai
<span title="">2000</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
The electric source is modeled as a collection of current dipoles at fixed locations and the head as a spherical conductor.  ...  We permit the dipoles' moments to vary with time by modeling them as linear combinations of parametric or nonparametric basis functions.  ...  Spatiotemporal EEG/MEG data analysis is based on modeling a source of brain activity by a primary current distributed over a certain region of the cortex.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/78.815475">doi:10.1109/78.815475</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jv2q7lonwjeh5oub7x4ofodubi">fatcat:jv2q7lonwjeh5oub7x4ofodubi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808044433/https://www.cs.hmc.edu/~keller/eeg/Dogandzic.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/6b/096ba28514ca6474f0992dbbed51e8698fefd701.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/78.815475"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A distributed spatio-temporal EEG/MEG inverse solver

Wanmei Ou, Matti S. Hämäläinen, Polina Golland
<span title="">2009</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
We propose a novel ℓ 1 ℓ 2 -norm inverse solver for estimating the sources of EEG/MEG signals.  ...  Based on the standard ℓ 1 -norm inverse solvers, this sparse distributed inverse solver integrates the ℓ 1 -norm spatial model with a temporal model of the source signals in order to avoid unstable activation  ...  Xin Huang for the interesting discussion on SOCP. We also thank Biswajit Bose, Hesheng Liu, and Thomas Yeo for helpful comments on this work, and Dr. Van Leemput for proof reading this draft.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2008.05.063">doi:10.1016/j.neuroimage.2008.05.063</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18603008">pmid:18603008</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2730457/">pmcid:PMC2730457</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tdybrmi5yzedfgbammuiqvjcfe">fatcat:tdybrmi5yzedfgbammuiqvjcfe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706095439/http://people.csail.mit.edu/polina/papers/Ou_NeuroImage-2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7b/ab/7bab4845d25a878488a0f5018c4ce0d95e3aaac3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2008.05.063"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730457" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Distributed Spatio-temporal EEG/MEG Inverse Solver [chapter]

Wanmei Ou, Polina Golland, Matti Hämäläinen
<span title="">2008</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We propose a novel ℓ 1 ℓ 2 -norm inverse solver for estimating the sources of EEG/MEG signals.  ...  Based on the standard ℓ 1 -norm inverse solvers, this sparse distributed inverse solver integrates the ℓ 1 -norm spatial model with a temporal model of the source signals in order to avoid unstable activation  ...  Xin Huang for the interesting discussion on SOCP. We also thank Biswajit Bose, Hesheng Liu, and Thomas Yeo for helpful comments on this work, and Dr. Van Leemput for proof reading this draft.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-85988-8_4">doi:10.1007/978-3-540-85988-8_4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gn3rue7cybavbbsifcnaikvreu">fatcat:gn3rue7cybavbbsifcnaikvreu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706095439/http://people.csail.mit.edu/polina/papers/Ou_NeuroImage-2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7b/ab/7bab4845d25a878488a0f5018c4ce0d95e3aaac3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-85988-8_4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG

Bin He, Zhongming Liu
<span title="">2008</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjmncnm4zfdltlh5rxo2xd62xa" style="color: black;">IEEE Reviews in Biomedical Engineering</a> </i> &nbsp;
in the understanding and modeling of neurovascular coupling and in the methodologies for the fMRI-EEG/MEG simultaneous recording.  ...  In this review, we start with an overview of the physiological origins of EEG/MEG and fMRI, as well as their fundamental biophysics and imaging principles, we proceed with a review of the major advances  ...  A more sophisticated approach is based on parametric task manipulations and single-trial EEG-fMRI covariation [150] , [151] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2008.2008233">doi:10.1109/rbme.2008.2008233</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20634915">pmid:20634915</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2903760/">pmcid:PMC2903760</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6hogffiwvrbonmxn2swkyqstde">fatcat:6hogffiwvrbonmxn2swkyqstde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830074950/http://helab.umn.edu///research/RBME-He.08.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/92/42926ded87be4adc7de1bb4d6e7ad095d796f19d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2008.2008233"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2903760" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A technique to consider mismatches between fMRI and EEG/MEG sources for fMRI-constrained EEG/MEG source imaging: a preliminary simulation study

Chang-Hwan Im, Soo Yeol Lee
<span title="2006-10-30">2006</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zuggg3zvsfaatpw6invuoevl7a" style="color: black;">Physics in Medicine and Biology</a> </i> &nbsp;
If one wants to obtain the actual EEG/MEG source locations and uses the fMRI prior information as just an auxiliary tool to enhance focality of the distributed EEG/MEG sources, it is reasonable to weaken  ...  and the EEG/MEG sources.  ...  Acknowledgments This work was supported in part by a grant of the Korea Health 21 R&D Project, Ministry of Health and Welfare, Korea (02-PJ3-PG6-EV07-0002), and in part by a grant (M103KV010016-06K2201  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/0031-9155/51/23/004">doi:10.1088/0031-9155/51/23/004</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/17110766">pmid:17110766</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6be7rurzbg27aqstt6bgeqf4q">fatcat:o6be7rurzbg27aqstt6bgeqf4q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321135527/http://cone.hanyang.ac.kr/BioEST/Kor/papers/pmb6_23_004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/f8/0cf8c2dc52bf72fd4859f0baf51b431e69580ed4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/0031-9155/51/23/004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> iop.org </button> </a>

Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG

Stefan J. Kiebel, Jean Daunizeau, Christophe Phillips, Karl J. Friston
<span title="2008-01-15">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
Most source reconstruction techniques belong to one of two approaches: point source models, which explain the data with a small number of equivalent current dipoles and distributed source or imaging models  ...  Here, we propose a variational Bayesian algorithm that enables the fast Bayesian inversion of dipole models. The approach allows for specification of priors on all the model parameters.  ...  For EEG, a popular head model is based on four concentric spheres, each with homogeneous and isotropic conductivity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2007.09.005">doi:10.1016/j.neuroimage.2007.09.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/17951076">pmid:17951076</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fn4wtg3mcbgc7fewz6klog7y54">fatcat:fn4wtg3mcbgc7fewz6klog7y54</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922001634/http://orbi.ulg.ac.be/bitstream/2268/31288/1/Kiebel%2cNI%2c2007%2cBayesECD.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4c/36/4c3627be61ef3d1e8aeff26a9ad74f99d716f5da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2007.09.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Dynamic decomposition of spatiotemporal neural signals

Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris, Jeff Beck
<span title="2017-05-30">2017</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ch57atmlprauhhbqdf7x4ytejm" style="color: black;">PLoS Computational Biology</a> </i> &nbsp;
temporal and spatiotemporal noise.  ...  The method is based on stochastic differential equations and Gaussian process regression.  ...  The connections between EEG/MEG source reconstruction and GP regression have recently been shown by Solin et al. [17] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.1005540">doi:10.1371/journal.pcbi.1005540</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28558039">pmid:28558039</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5469506/">pmcid:PMC5469506</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q6a27pswjzd7rhovzi4noildtu">fatcat:q6a27pswjzd7rhovzi4noildtu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715025432/https://repository.ubn.ru.nl/bitstream/handle/2066/173169/1/173169.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/f5/20f56611d4d3a46497cbc371a6ac082076af7ef2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.1005540"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469506" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration

Richard N. Henson, Daniel G. Wakeman, Vladimir Litvak, Karl J. Friston
<span title="">2011</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
within a parametric empirical Bayesian (PEB) framework for reconstructing intracranial sources of extracranial electroencephalographic (EEG) and magnetoencephalographic (MEG) data under linear Gaussian  ...  ., 2002 ) enables a simple matrix formulation of the generative model in terms of covariance components (cf, Gaussian process modeling): Consider the linear model We review recent methodological developments  ...  A possible symmetric model for fusion of eeg/Meg data and fMri data (cf.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2011.00076">doi:10.3389/fnhum.2011.00076</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21904527">pmid:21904527</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3160752/">pmcid:PMC3160752</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yfl7moi5erbtrfsa3jkshmhbri">fatcat:yfl7moi5erbtrfsa3jkshmhbri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810070536/http://www.fil.ion.ucl.ac.uk/spm/doc/papers/HensonEtAl_FiHN_11_PEB_MEEG.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/28/9f/289f67fd7c9b7a58f432e9f0a7ece219491aec39.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2011.00076"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160752" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Multimodal imaging reveals the spatiotemporal dynamics of recollection

Zara M. Bergström, Richard N. Henson, Jason R. Taylor, Jon S. Simons
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
We therefore combined fMRI with the excellent temporal resolution of source localised EEG/MEG to investigate the spatiotemporal neural dynamics of recollection. fMRI and EEG/MEG data were collected from  ...  Domain-specific source recollection increased fMRI and EEG/MEG activation in the left lateral prefrontal cortex, which EEG/MEG indicated also to be recruited during a post-recollection stage.  ...  However, this analysis did not reveal any convergent findings between fMRI and EEG/MEG localisation and is therefore not discussed further. 3 EEG/MEG sensor-level statistical analysis A first analysis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2012.11.030">doi:10.1016/j.neuroimage.2012.11.030</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23201363">pmid:23201363</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3590451/">pmcid:PMC3590451</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zpo2iuu4bnc7xpkxdn5x7cgo74">fatcat:zpo2iuu4bnc7xpkxdn5x7cgo74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190311053827/https://core.ac.uk/download/pdf/82766032.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/d4/3bd4ce4200c0c8edf68b58c410056de93017a0e3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2012.11.030"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590451" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics

Yuanyuan Chen, Matthew H. Davis, Friedemann Pulvermüller, Olaf Hauk
<span title="">2015</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rvtepewc6vewtddjhxdnivd43q" style="color: black;">Journal of Cognitive Neuroscience</a> </i> &nbsp;
Using a parametric approach, we analyzed the spatiotemporal response patterns of occipitotemporal cortex for orthographic, lexical, and semantic variables in three psycholinguistic tasks: silent reading  ...  We used EEG/MEG recordings to assess whether, when, and how task contexts modify early retrieval of specific psycholinguistic information in occipitotemporal cortex, an area likely to contribute to early  ...  of EEG/MEG source space, as shown in Figure 1 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/jocn_a_00815">doi:10.1162/jocn_a_00815</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25848683">pmid:25848683</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uksbuu5uvazdk27a6cr62pmhy">fatcat:3uksbuu5uvazdk27a6cr62pmhy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321061755/http://www.mrc-cbu.cam.ac.uk/wp-content/uploads/2013/02/chen.jocn2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/c1/88c115a2d8319f4bf7170cd633693d45d84a8fee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/jocn_a_00815"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Denis Brunet, Micah M. Murray, Christoph M. Michel
<span title="">2011</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
, and source imaging based on distributed inverse solutions.  ...  We describe global measures of field strength and field similarities, temporal segmentation based on topographic variations, topographic analysis in the frequency domain, topographic statistical analysis  ...  The way to overcome this problem is to perform a non-parametric randomization test based on the GMD values.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2011/813870">doi:10.1155/2011/813870</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21253358">pmid:21253358</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3022183/">pmcid:PMC3022183</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/te6rmontjbc6pelq625hlswrxi">fatcat:te6rmontjbc6pelq625hlswrxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503095122/http://downloads.hindawi.com/journals/cin/2011/813870.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a9/88/a9884e376d044d6aec5df762ff389404b9ac3ac7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2011/813870"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022183" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A method for spatiotemporal mapping of event-related modulation of cortical rhythmic activity

H. Laaksonen, J. Kujala, R. Salmelin
<span title="">2008</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
Comparison of this multidipole model with the original signal yields a quantitative measure of goodness for the identified source areas and the analysis approach in general.  ...  We demonstrate the usability of erDICS on simulated and real MEG data.  ...  In EEG/MEG the forward problem, i.e., calculation of electromagnetic field when the source currents are known, has a unique solution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2008.04.175">doi:10.1016/j.neuroimage.2008.04.175</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18538584">pmid:18538584</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hku4hrquyjf2hpradzi4pogssi">fatcat:hku4hrquyjf2hpradzi4pogssi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808152900/http://neuro.hut.fi/~jjkujala/pdfs/laaksonen_et_al_Neuroimage2008.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/c6/a5c669378f93b412a7a7667f7bda3a4e139eac44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2008.04.175"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Ant Colony System Optimization for Spatiotemporal Modelling of Combined EEG and MEG Data

Eugene A. Opoku, S. Ejaz Ahmed, Yin Song, Farouk S. Nathoo
<span title="2021-03-11">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
Electroencephalography/Magnetoencephalography (EEG/MEG) source localization involves the estimation of neural activity inside the brain volume that underlies the EEG/MEG measures observed at the sensor  ...  We demonstrate improved performance of the ACS-ICM algorithm as compared to existing methodology for the same spatiotemporal model.  ...  The authors of [22] address the added value of combining EEG and MEG data for distributed source localization, building on the flexibility of parametric empirical Bayes, namely for EEG-MEG data fusion  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e23030329">doi:10.3390/e23030329</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33799662">pmid:33799662</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7999289/">pmcid:PMC7999289</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bkvrrvst5zdtdg4pf5erwartly">fatcat:bkvrrvst5zdtdg4pf5erwartly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210410184946/https://res.mdpi.com/d_attachment/entropy/entropy-23-00329/article_deploy/entropy-23-00329-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f7/58/f758cfd60afc8c5fde31765a71a8ac2cee4be1a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e23030329"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999289" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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