Estimation of the accuracy of a surface matching technique for registration of EEG and MRI data

Huppertz, Hans‐Jürgen; Otte, M.; Grimm, C; Kristeva-Feige, Rumyana; Mergner, Thomas; Lücking, Carl Hermann

doi:10.1016/s0013-4694(98)00021-2

Cited by 31 publications

(32 citation statements)

References 21 publications

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“…The main aim of this study was to use magnetoencephalography (MEG) to examine the temporal and spa-individual participant's anatomical MRI using a surface matching procedure (Huppertz et al, 1998).…”

Section: Stimulimentioning

confidence: 99%

Coarse threat images reveal theta oscillations in the amygdala: A magnetoencephalography study

Maratos

Mogg

Bradley

et al. 2009

Cognitive, Affective, & Behavioral Neuroscience

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Section: Stimulimentioning

confidence: 99%

Coarse threat images reveal theta oscillations in the amygdala: A magnetoencephalography study

Maratos

Mogg

Bradley

et al. 2009

Cognitive, Affective, & Behavioral Neuroscience

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“…To establish the spatial relationship between the electrode positions and the MRI, the digitized head contour was matched with the head-contour as obtained from MRI by means of a surfacematching algorithm (Huppertz et al 1998). For structural MRI, the 3-D dataset with full head coverage and 1 mm 3 voxels was acquired using a volume-encoded fast low angle shot pulse sequence (FLASH) with TR/TE/alpha ϭ 40 ms/60 ms/40°.…”

Section: Electric Source Reconstructionmentioning

confidence: 99%

Dynamic Synchronization Between Multiple Cortical Motor Areas and Muscle Activity in Phasic Voluntary Movements

Feige

Aertsen

Kristeva-Feige

2000

Journal of Neurophysiology

146

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Feige, Bernd, Ad Aertsen, and Rumyana Kristeva-Feige. Dynamic synchronization between multiple cortical motor areas and muscle activity in phasic voluntary movements. J Neurophysiol 84: 2622-2629, 2000. To study the functional role of synchronized neuronal activity in the human motor system, we simultaneously recorded cortical activity by high-resolution electroencephalography (EEG) and electromyographic (EMG) activity of the activated muscle during a phasic voluntary movement in seven healthy subjects. Here, we present evidence for dynamic beta-range (16 -28 Hz) synchronization between cortical activity and muscle activity, starting after termination of the movement. In the same time range, increased tonic activity in the activated muscle was found. During the movement execution a low-frequency (2-14 Hz) synchronization was found. Using a novel analysis, phase-reference analysis, we were able to extract the EMGcoherent EEG maps for both, low-and high-frequency beta range synchronization. The electrical source reconstruction of the EMGcoherent EEG maps was performed with respect to the individual brain morphology from magnetic resonance imaging (MRI) using a distributed source model (cortical current density analysis) and a realistic head model. The generators of the beta-range synchronization were not only located in the primary motor area, but also in premotor areas. The generators of the low-frequency synchronization were also located in the primary motor and in premotor areas, but with additional participation of the medial premotor area. These findings suggest that the dynamic beta-range synchronization between multiple cortical areas and activated muscles reflects the transition of the collective motor network into a new equilibrium state, possibly related to higher demands on attention, while the low-frequency synchronization is related to the movement execution.

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“…A surface based rigid registration method has been utilised by Huppertz et al [28] for EEG and MRI data by matching the surface from a 3D scanning device to the surface extracted from MRI images. Using this method the average error was found to be 0.3 mm based on the location error of fiducial points of the head surface, namely, the location of electrodes in EEG system.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of atlas-based high-density diffuse optical tomography for imaging of the human visual cortex

Wu¹,

Eggebrecht²,

Ferradal³

et al. 2014

Biomed. Opt. Express

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Image recovery in diffuse optical tomography (DOT) of the human brain often relies on accurate models of light propagation within the head. In the absence of subject specific models for image reconstruction, the use of atlas based models are showing strong promise. Although there exists some understanding in the use of some limited rigid model registrations in DOT, there has been a lack of a detailed analysis between errors in geometrical accuracy, light propagation in tissue and subsequent errors in dynamic imaging of recovered focal activations in the brain. In this work 11 different rigid registration algorithms, across 24 simulated subjects, are evaluated for DOT studies in the visual cortex. Although there exists a strong correlation (R 2 = 0.97) between geometrical surface error and internal light propagation errors, the overall variation is minimal when analysing recovered focal activations in the visual cortex. While a subject specific mesh gives the best results with a 1.2 mm average location error, no single algorithm provides errors greater than 4.5 mm. This work demonstrates that the use of rigid algorithms for atlas based imaging is a promising route when subject specific models are not available.

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Estimation of the accuracy of a surface matching technique for registration of EEG and MRI data

Cited by 31 publications

References 21 publications

Coarse threat images reveal theta oscillations in the amygdala: A magnetoencephalography study

Coarse threat images reveal theta oscillations in the amygdala: A magnetoencephalography study

Dynamic Synchronization Between Multiple Cortical Motor Areas and Muscle Activity in Phasic Voluntary Movements

Quantitative evaluation of atlas-based high-density diffuse optical tomography for imaging of the human visual cortex

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