Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

David Pascucci; Sebastien Tourbier; Joan Rué-Queralt; Margherita Carboni; Patric Hagmann; Gijs Plomp

doi:10.1038/s41597-021-01116-1

Scientific Data (Jan 2022)

Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

David Pascucci,
Sebastien Tourbier,
Joan Rué-Queralt,
Margherita Carboni,
Patric Hagmann,
Gijs Plomp

Affiliations

David Pascucci: Perceptual Networks Group, University of Fribourg
Sebastien Tourbier: Connectomics Lab, Dept. of Radiology, University Hospital of Lausanne and University of Lausanne (CHUV-UNIL)
Joan Rué-Queralt: Perceptual Networks Group, University of Fribourg
Margherita Carboni: EEG and Epilepsy Unit, University Hospital of Geneva
Patric Hagmann: Connectomics Lab, Dept. of Radiology, University Hospital of Lausanne and University of Lausanne (CHUV-UNIL)
Gijs Plomp: Perceptual Networks Group, University of Fribourg

DOI: https://doi.org/10.1038/s41597-021-01116-1
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 7

Abstract

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Measurement(s) visual evoked potentials • brain activity measurement • diffusion weighted images Technology Type(s) high-density electroencephalography • magnetic resonance imaging Factor Type(s) visual stimulus Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment laboratory environment Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.17074685

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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