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 subjects. EEG recordings are done before and after epilepsy surgery. For ECoG recordings, we used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector and did visual validation. For each recording, we provided the recorded data and FR markings. We also 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."