Scalp_EEG_HFO/datacite.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "Ece"
    lastname: "Boran"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
    id: "orcid.org/0000-0002-0395-7575"
  -
    firstname: "Johannes"
    lastname: "Sarnthein"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
    id: "orcid.org/0000-0001-9141-381X"
  -
    firstname: "Niklaus"
    lastname: "Krayenbühl"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
  -
    firstname: "Georgia"
    lastname: "Ramantani"
    affiliation: "Neuropädiatrie, Universitäts-Kinderspital Zürich, 8032 Zürich, Switzerland"
    id: "orcid.org/0000-0002-7931-2327"
  -
    firstname: "Tommaso"
    lastname: "Fedele"
    affiliation: "Institute for Cognitive Neuroscience, National Research University Higher School of Economics, 101000 Moscow, Russian Federation"
    id: "orcid.org/0000-0001-7574-8062"

# A name or title to describe the published resource.
title: "High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy"

# Any additional information. It is best practice to supply a description for the resource.
description: "We present an electrophysiological dataset recorded from eleven children. Scalp EEG was recorded before and after epilepsy surgery. In four of these children, we also recorded intraoperative electrocorticography (ECoG). We detected high frequency oscillations (HFO) using a previously validated automatic detector. For each recording, we provide the recorded data and HFO markings. We further provide the approximate locations of recordings and resected area."


# List of keywords the resource should be associated with.
keywords:
  - Epilepsy
  - Electroencephalography (EEG)
  - High frequency oscillations (HFO)
  - Epilepsy surgery
  - Therapy monitoring
  - Antiepileptic drugs (AED)
  - Intraoperative recording
  - Electrocorticography (ECoG)
  - Ripple
  - Fast ripple (FR)
  - Resection area
  - Seizure outcome
  - Automatic HFO detection
  - Electrophysiology
  - High-density ECoG
  - Standard ECoG
  - Spatial sampling
  - Grid
  - Strip
  - Subdural
  - Human
  - Neuroscience

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a LICENSE file to the repository
license:
  name: "Creative Commons Attribution-ShareAlike 4.0 International Public License"
  url: "https://creativecommons.org/licenses/by-sa/4.0/"

## Optional Fields

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "Swiss National Science Foundation, SNSF 320030_176222"
  - "Mach-Gaensslen Stiftung"
  - "Stiftung für wissenschaftliche Forschung an der Universität Zürich"
  - "Forschungskredit der Universität Zürich"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:
  -
    doi: "10.1016/j.clinph.2019.07.008"    
    reftype: "IsSupplementTo"
    name: "High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy."
  -
    doi: "10.1016/j.clinph.2019.07.008"     
    reftype: "IsSupplementTo"
    name: "High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome."
  -
    doi: "10.1038/s41598-017-13064-1"     
    reftype: "Cites"
    name: "Resection of high frequency oscillations predicts seizure outcome in the individual patient."
  -
    doi: "10.1016/j.clinph.2017.03.038"     
    reftype: "Cites"
    name: "Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram."
  -
    doi: "10.1016/j.clinph.2016.06.009"     
    reftype: "Cites"
    name: "Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome."