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153 results on '"Ossenblok, Pauly"'

2. Image Fusion to Guide Decision-Making Towards Minimally Invasive Epilepsy Treatment

Author

Ossenblok, Pauly, Meesters, Stephan, van Hoof, Raf, Colon, Albert, Wagner, Louis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Castillo-Secilla, Daniel, editor, Herrera, Luis Javier, editor, and Pomares, Héctor, editor

Published
2021
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3. Data-Driven EEG Informed Functional MRI Combined with Network Analysis Successfully Identifies the Seizure Onset Zone

Author

Ossenblok, Pauly, Colon, Albert, Geerts, Liesbeth, Boon, Paul, van Houdt, Petra, de Munck, Jan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Castillo-Secilla, Daniel, editor, Herrera, Luis Javier, editor, and Pomares, Héctor, editor

Published
2021
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4. Brain Connectivity Measures via Direct Sub-Finslerian Front Propagation on the 5D Sphere Bundle of Positions and Directions

Author

Portegies, Jorg, Meesters, Stephan, Ossenblok, Pauly, Fuster, Andrea, Florack, Luc, Duits, Remco, Hege, Hans-Christian, Series Editor, Hoffman, David, Series Editor, Johnson, Christopher R., Series Editor, Polthier, Konrad, Series Editor, Rumpf, Martin, Series Editor, Bonet-Carne, Elisenda, editor, Grussu, Francesco, editor, Ning, Lipeng, editor, Sepehrband, Farshid, editor, and Tax, Chantal M. W., editor

Published
2019
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34. Netwerkinteracties van interictale epileptiforme ontladingen gemeten met diepte-elektroden

Author

Meesters, Stephan, Ossenblok, Pauly, Colon, Albert, Wagner, Louis, Boon, Paul J., Schijns, Olaf, Florack, Luc, Fuster, Andrea, RS: MHeNs - R3 - Neuroscience, and MUMC+: MA Med Staf Spec Neurochirurgie (9)

Abstract

De standaard klinische beoordeling van het EEG gemeten met diepte-elektroden richt zich voornamelijk op aanvalsactiviteit. Dit EEG bevat echter veelvuldig interictale epileptiforme ontladingen, die gekenmerkt worden door een complex spatiotemporeel patroon. In deze bijdrage wordt een kwantitatieve analyse gepresenteerd die dergelijke complexe ontladingen groepeert en lokaliseert1 . Dit blijkt extra informatie te bieden die bepalend kan zijn voor de operatiestrategie.

Published
2017

40. Stability metrics for optic radiation tractography: Towards damage prediction after resective surgery

Author

Meesters, Stephan (author), Ossenblok, Pauly (author), Wagner, Louis (author), Schijns, Olaf (author), Boon, Paul (author), Florack, Luc (author), Vilanova Bartroli, A. (author), Duits, Remco (author), Meesters, Stephan (author), Ossenblok, Pauly (author), Wagner, Louis (author), Schijns, Olaf (author), Boon, Paul (author), Florack, Luc (author), Vilanova Bartroli, A. (author), and Duits, Remco (author)

Abstract

Background An accurate delineation of the optic radiation (OR) using diffusion MR tractography may reduce the risk of a visual field deficit after temporal lobe resection. However, tractography is prone to generate spurious streamlines, which deviate strongly from neighboring streamlines and hinder a reliable distance measurement between the temporal pole and the Meyer's loop (ML-TP distance). New method Stability metrics are introduced for the automated removal of spurious streamlines near the Meyer's loop. Firstly, fiber-to-bundle coherence (FBC) measures can identify spurious streamlines by estimating their alignment with the surrounding streamline bundle. Secondly, robust threshold selection removes spurious streamlines while preventing an underestimation of the extent of the Meyer's loop. Standardized parameter selection is realized through test–retest evaluation of the variability in ML-TP distance. Results The variability in ML-TP distance after parameter selection was below 2 mm for each of the healthy volunteers studied (N = 8). The importance of the stability metrics is illustrated for epilepsy surgery candidates (N = 3) for whom the damage to the Meyer's loop was evaluated by comparing the pre- and post-operative OR reconstruction. The difference between predicted and observed damage is in the order of a few millimeters, which is the error in measured ML-TP distance. Comparison with existing method(s) The stability metrics are a novel method for the robust estimate of the ML-TP distance. Conclusions The stability metrics are a promising tool for clinical trial studies, in which the damage to the OR can be related to the visual field deficit that may occur after epilepsy surgery., Comp Graphics & Visualisation

Published
2017
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41. Visualization of synchronized stereoencephalographic recordings in a 3D smart image to aid presurgical evaluation of epilepsy

Author

Ossenblok Pauly, Meesters Stephan, Fuster Andrea, Wagner Louis, Schijns Olaf, Van Houdt Petra, and Colon Albert

Subjects
Epilepsy, Computer science, business.industry, Biomedical Engineering, Neuroscience (miscellaneous), medicine, Computer vision, Artificial intelligence, medicine.disease, business, Computer Science Applications, Image (mathematics), Visualization
Published
2014
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49. Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?

Author

Shouliang Qi, Meesters, Stephan, Nicolay, Klaas, ter Haar Romeny, Bart M., and Ossenblok, Pauly

Subjects
NEUROSCIENCES, BRAIN, BIOLOGICAL neural networks, MAGNETIC resonance imaging, CENTRAL nervous system
Abstract

Structural brain networks constructed based on diffusion-weighted MRI (dMRI) have provided a systems perspective to explore the organization of the human brain. Some redundant and nonexistent fibers, however, are inevitably generated in whole brain tractography. We propose to add one critical step while constructing the networks to remove these fibers using the linear fascicle evaluation (LiFE) method, and study the differences between the networks with and without LiFE optimization. For a cohort of nine healthy adults and for 9 out of the 35 subjects from Human Connectome Project, the T1-weighted images and dMRI data are analyzed. Each brain is parcellated into 90 regions-of-interest, whilst a probabilistic tractography algorithm is applied to generate the original connectome. The elimination of redundant and nonexistent fibers from the original connectome by LiFE creates the optimized connectome, and the random selection of the same number of fibers as the optimized connectome creates the non-optimized connectome. The combination of parcellations and these connectomes leads to the optimized and non-optimized networks, respectively. The optimized networks are constructed with six weighting schemes, and the correlations of different weighting methods are analyzed. The fiber length distributions of the non-optimized and optimized connectomes are compared. The optimized and non-optimized networks are compared with regard to edges, nodes and networks, within a sparsity range of 0.75-0.95. It has been found that relatively more short fibers exist in the optimized connectome. About 24.0% edges of the optimized network are significantly different from those in the non-optimized network at a sparsity of 0.75. About 13.2% of edges are classified as false positives or the possible missing edges. The strength and betweenness centrality of some nodes are significantly different for the non-optimized and optimized networks, but not the node efficiency. The normalized clustering coefficient, the normalized characteristic path length and the small-worldness are higher in the optimized network weighted by the fiber number than in the non-optimized network. These observed differences suggest that LiFE optimization can be a crucial step for the construction of more reasonable and more accurate structural brain networks. [ABSTRACT FROM AUTHOR]

Published
2016
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