Search Results - "de Munck, J.C"

In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head by Goncalves, S.I., de Munck, J.C., Verbunt, J.P.A., Bijma, F., Heethaar, R.M., Lopes da Silva, F.

“…In vivo measurements of equivalent resistivities of skull (/spl rho//sub skull/) and brain (/spl rho//sub brain/) are performed for six subjects using an…”
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Inter-rater agreement in glioma segmentations on longitudinal MRI by Visser, M, Müller, D M J, van Duijn, R J M, Smits, M, Verburg, N, Hendriks, E J, Nabuurs, R J A, Bot, J C J, Eijgelaar, R S, Witte, M, van Herk, M B, Barkhof, F, de Witt Hamer, P C, de Munck, J C

“…Tumor segmentation of glioma on MRI is a technique to monitor, quantify and report disease progression. Manual MRI segmentation is the gold standard but very…”
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Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease by Stam, C.J., Jones, B.F., Manshanden, I., van Cappellen van Walsum, A.M., Montez, T., Verbunt, J.P.A., de Munck, J.C., van Dijk, B.W., Berendse, H.W., Scheltens, P.

“…Statistical interdependencies between magnetoencephalographic signals recorded over different brain regions may reflect the functional connectivity of the…”
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Feasibility of clinical Magnetoencephalography (MEG) functional mapping in the presence of dental artefacts by Hillebrand, A, Fazio, P, de Munck, J.C, van Dijk, B.W

“…Highlights ► State-of-the-art MEG signal processing techniques enable the removal of artefacts introduced by orthodontic braces. ► Localisation accuracy of SEF…”
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Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability by Gonçalves, S.I., de Munck, J.C., Pouwels, P.J.W., Schoonhoven, R., Kuijer, J.P.A., Maurits, N.M., Hoogduin, J.M., Van Someren, E.J.W., Heethaar, R.M., Lopes da Silva, F.H.

“…Simultaneous recording of electroencephalogram/functional magnetic resonance images (EEG/fMRI) was applied to identify blood oxygenation level-dependent (BOLD)…”
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Non-linear registration improves statistical power to detect hippocampal atrophy in aging and dementia by Bartel, F, Visser, M, de Ruiter, M, Belderbos, J, Barkhof, F, Vrenken, H, de Munck, J C, van Herk, M

“…To compare the performance of different methods for determining hippocampal atrophy rates using longitudinal MRI scans in aging and Alzheimer's disease (AD)…”
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A study of the brain's resting state based on alpha band power, heart rate and fMRI by de Munck, J.C., Gonçalves, S.I., Faes, Th.J.C., Kuijer, J.P.A., Pouwels, P.J.W., Heethaar, R.M., Lopes da Silva, F.H.

“…Considering that there are several theoretical reasons why fMRI data is correlated to variations in heart rate, these correlations are explored using…”
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Artifact removal in co-registered EEG/fMRI by selective average subtraction by Gonçalves, S.I, Pouwels, P.J.W, Kuijer, J.P.A, Heethaar, R.M, de Munck, J.C

“…Abstract Objective Co-registration of EEG (electroencephalogram) and fMRI (functional magnetic resonance imaging) remains a challenge due to the large…”
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The role of EEG-correlated fMRI in presurgical evaluation of epilepsy surgery by van Houdt, P, Ossenblok, P, Colon, A, Leijten, F, Boon, P, de Munck, J.C

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Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise by de Munck, J.C., Huizenga, H.M., Waldorp, L.J., Heethaar, R.A.

“…The stationary dipole model for the inverse problem of magnetoencephalographic (MEG) and electroencephalographic (EEG) data is extended by including…”
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In vivo measurement of the brain and skull resistivities using an EIT-based method and the combined analysis of SEF/SEP data by Goncalve, S., de Munck, J.C., Verbunt, J.P.A., Heethaar, R.M., da Silva, F.H.L.

“…Results of "in vivo" measurements of the skull and brain resistivities are presented for six subjects. Results are obtained using two different methods, based…”
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Cortically evoked magnetic field characteristics in CRPS I and II by Theuvenet, P.J, de Munck, J.C, Peters, M.J, Lopes da Silva, F.L, van Ree, J.M, Chen, A.C.N

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Artifacts in EEG/fMRI: Challenges and opportunities by de Munck, J.C, van Houdt, P, Verdaasdonk, R.M, Ossenblok, P

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Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model by Huizenga, H.M., de Munck, J.C., Waldorp, L.J., Grasman, R.P.P.P.

“…A method is described to incorporate the spatiotemporal noise covariance matrix into a spatiotemporal source analysis. The essential feature is that the…”
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A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets by de Munck, J.C., Bijma, F., Gaura, P., Sieluzycki, C.A., Branco, M.I., Heethaar, R.M.

“…The standard procedure to determine the brain response from a multitrial evoked magnetoencephalography (MEG) or electroencephalography (EEG) data set is to…”
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A whole head MEG study of the amplitude-modulation-following response: phase coherence, group delay and dipole source analysis by Schoonhoven, R, Boden, C.J.R, Verbunt, J.P.A, de Munck, J.C

“…Objective: The amplitude-modulation-following response (AMFR) is the frequency component detectable in the electroencephalogram (EEG) or magnetoencephalography…”
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Spike cluster analysis in neocortical localization related epilepsy yields clinically significant equivalent source localization results in magnetoencephalogram (MEG) by Van 't Ent, D, Manshanden, I, Ossenblok, P, Velis, D.N, de Munck, J.C, Verbunt, J.P.A, Lopes da Silva, F.H

“…Objective: In magnetoencephalogram (MEG) recordings of patients with epilepsy several types of sharp transients with different spatiotemporal distributions are…”
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A fast method to derive realistic BEM models for E/MEG source reconstruction by van 't Ent, D., de Munck, J.C., Kaas, A.L.

“…A fast method for segmentation of a subject's skin, skull or brain compartment for electroencephalogram (EEG)/magnetoencephalogram (MEG) (E/MEG) source…”
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The boundary element method in the forward and inverse problem of electrical impedance tomography by de Munck, J.C., Faes, T.J.C., Heethaar, R.M.

“…A new formulation of the reconstruction problem of electrical impedance tomography (EIT) is proposed. Instead of reconstructing a complete two-dimensional…”
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A Data and Model-Driven Approach to Explore Inter-Subject Variability of Resting-State Brain Activity Using EEG-fMRI by Goncalves, S.I., Bijma, F., Pouwels, P.W.J., Jonker, M., Kuijer, J.P.A., Heethaar, R.M., Lopes da Silva, F.H., de Munck, J.C.

“…In this paper, we investigate the origin of the large inter-subject-variability of EEG-fMRI correlation patterns. For that purpose, a simplified representation…”
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