Atrial Excitation Assuming Uniform Propagation

M, Dam; Oosterom, A. van

doi:10.1046/j.1540.8167.90307.x

Cited by 21 publications

(8 citation statements)

References 25 publications

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“…This was first observed in an application to the relatively simple atrial activation sequence, frequently involving just the “focus” in the sinus node region. 56 Subsequently, it also proved to be effective in applications to the ventricles.…”

Section: Discussionmentioning

confidence: 99%

“…The nature of this data is summarized below. More details can be found in previous publications, 1 , 13 , 35 , 56 in which essentially the same material was used.…”

Section: Methodsmentioning

confidence: 99%

“…The first subject (NH) is a healthy subject. 56 This subject was included to illustrate intermediate and final results of the described inverse procedure. The other two subjects are added to illustrate clinical applications.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Non-Invasive Imaging of Cardiac Activation and Recovery

Dam

Oostendorp

Linnenbank³

et al. 2009

Ann Biomed Eng

148

157

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Abstract-The sequences of activation and recovery of the heart have physiological and clinical relevance. We report on progress made over the last years in the method that images these timings based on an equivalent double layer on the myocardial surface serving as the equivalent source of cardiac activity, with local transmembrane potentials (TMP) acting as their strength. The TMP wave forms were described analytically by timing parameters, found by minimizing the difference between observed body surface potentials and those based on the source description. The parameter estimation procedure involved is non-linear, and consequently requires the specification of initial estimates of its solution. Those of the timing of depolarization were based on the fastest route algorithm, taking into account properties of anisotropic propagation inside the myocardium. Those of recovery were based on electrotonic effects. Body surface potentials and individual geometry were recorded on: a healthy subject, a WPW patient and a Brugada patient during an Ajmaline provocation test. In all three cases, the inversely estimated timing agreed entirely with available physiological knowledge. The improvements to the inverse procedure made are attributed to our use of initial estimates based on the general electrophysiology of propagation. The quality of the results and the required computation time permit the application of this inverse procedure in a clinical setting.

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Section: Discussionmentioning

confidence: 99%

“…The nature of this data is summarized below. More details can be found in previous publications, 1 , 13 , 35 , 56 in which essentially the same material was used.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Non-Invasive Imaging of Cardiac Activation and Recovery

Dam

Oostendorp

Linnenbank³

et al. 2009

Ann Biomed Eng

148

157

View full text Add to dashboard Cite

show abstract

“…At this stage any pair of vertices is connected at least via the surface edges, but ‘shortcuts’ through the volume generally exist. The optimal route is computed by means of a standard ‘all pairs shortest path’ algorithm like Floyd–Warshall [60]; cf. figure 4 a .…”

Section: Neural Activity Model and Signal Expressionmentioning

confidence: 99%

Towards a model-based integration of co-registered electroencephalography/functional magnetic resonance imaging data with realistic neural population meshes

Bojak

Oostendorp

Reid

et al. 2011

Phil. Trans. R. Soc. A.

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Brain activity can be measured with several non-invasive neuroimaging modalities, but each modality has inherent limitations with respect to resolution, contrast and interpretability. It is hoped that multimodal integration will address these limitations by using the complementary features of already available data. However, purely statistical integration can prove problematic owing to the disparate signal sources. As an alternative, we propose here an advanced neural population model implemented on an anatomically sound cortical mesh with freely adjustable connectivity, which features proper signal expression through a realistic head model for the electroencephalogram (EEG), as well as a haemodynamic model for functional magnetic resonance imaging based on blood oxygen level dependent contrast (fMRI BOLD). It hence allows simultaneous and realistic predictions of EEG and fMRI BOLD from the same underlying model of neural activity. As proof of principle, we investigate here the influence on simulated brain activity of strengthening visual connectivity. In the future we plan to fit multimodal data with this neural population model. This promises novel, model-based insights into the brain's activity in sleep, rest and task conditions.

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“…5 The distance matrix (all-pairs shortest path) is computed using Johnson's algorithm 3 as implemented by David Gleich in the toolbox MATLABBGL (available at MATLAB Central file exchange). First, a point x 1 is randomly selected.…”

Section: Random Distribution Of Phase Singularitiesmentioning

confidence: 99%

Eikonal-based initiation of fibrillatory activity in thin-walled cardiac propagation models

Herlin

Jacquemet

2011

Chaos

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Reentrant arrhythmias can be simulated in electrophysiological models of electrical impulse propagation governed by a reaction-diffusion system. To facilitate the initiation of a large number of independent episodes of simulated arrhythmias with controllable level of complexity, a new approach is proposed for thin-walled geometries in which depolarization wave dynamics is essentially two-dimensional. Points representing phase singularities are first randomly distributed over the epicardial surface and are assigned a topological charge (direction of rotation). A qualitatively-correct phase map is then reconstructed on the whole surface by interpolation. The eikonal-diffusion equation is used to iteratively regularize the phase map based on a priori information on wavefront propagation. An initial condition for the reaction-diffusion model is created from the resulting phase map with multiple functional/anatomical reentries. Results in an atrial model demonstrate the ability to generate statistical realizations of the same dynamics and to vary the level of complexity measured by the number of phase singularities. A library of 100 simulations with an average number of phase singularities ranging from 1 to 10 is created. An extension to volumetric patient-specific atrial models including fiber orientation and a fast conducting system is presented to illustrate possible applications.

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Atrial Excitation Assuming Uniform Propagation

Cited by 21 publications

References 25 publications

Non-Invasive Imaging of Cardiac Activation and Recovery

Non-Invasive Imaging of Cardiac Activation and Recovery

Towards a model-based integration of co-registered electroencephalography/functional magnetic resonance imaging data with realistic neural population meshes

Eikonal-based initiation of fibrillatory activity in thin-walled cardiac propagation models

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