Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2018Epitools, a software suite for presurgical brain mapping in epilepsy : Intracerebral EEG124citations

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Chart of shared publication
Lagarde, Stanislas
1 / 1 shared
Roehri, Nicolas
1 / 1 shared
Villalon, Samuel Medina
1 / 1 shared
Bartolomei, Fabrice
1 / 3 shared
Colombet, Bruno
1 / 1 shared
Pizzo, Francesca
1 / 1 shared
Carron, Romain
1 / 22 shared
Bénar, Christian-G.
1 / 1 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Lagarde, Stanislas
  • Roehri, Nicolas
  • Villalon, Samuel Medina
  • Bartolomei, Fabrice
  • Colombet, Bruno
  • Pizzo, Francesca
  • Carron, Romain
  • Bénar, Christian-G.
OrganizationsLocationPeople

article

Epitools, a software suite for presurgical brain mapping in epilepsy : Intracerebral EEG

  • Lagarde, Stanislas
  • Roehri, Nicolas
  • Paz, Rodrigo
  • Villalon, Samuel Medina
  • Bartolomei, Fabrice
  • Colombet, Bruno
  • Pizzo, Francesca
  • Carron, Romain
  • Bénar, Christian-G.
Abstract

Background In pharmacoresistant epilepsy, exploration with depth electrodes can be needed to precisely define the epileptogenic zone. Accurate location of these electrodes is thus essential for the interpretation of Stereotaxic EEG (SEEG) signals. As SEEG analysis increasingly relies on signal processing, it is crucial to make a link between these results and patient’s anatomy.Our aims were thus to develop a suite of software tools, called "EpiTools", able to i) precisely and automatically localize the position of each SEEG contact and ii) display the results of signal analysis in each patient’s anatomy. New Method The first tool, GARDEL (GUI for Automatic Registration and Depth Electrode Localization), is able to automatically localize SEEG contacts and to label each contact according to a pre-specified nomenclature (for instance that of FreeSurfer or MarsAtlas). The second tool, 3Dviewer,enables to visualize in the 3D anatomy of the patient the origin of signal processing results such as rate of biomarkers, connectivity graphs or Epileptogenicity Index.Results GARDEL was validated in 30 patients by clinicians and proved to be highly reliable to determine within the patient’s individual anatomy the actual location of contacts.Comparison with Existing Methods GARDEL is a fully automatic electrode localization tool needing limited user interaction (only for electrode naming or contact correction). The 3Dviewer is able to read signal processing results and to display them in link with patient’s anatomy.Conclusion EpiTools can help speeding up the interpretation of SEEG data and improving its precision.

Topics
  • impedance spectroscopy