TMS-EEG_brain_connectivity_BIDS/datacite.yml

authors:
  -
    firstname: Giacomo
    lastname: Bertazzoli
    affiliation: 'CIMeC - University of Trento'
    id: 'ORCID: 0000-0003-1624-2576'
  -
    firstname: Romina
    lastname: Esposito
    affiliation: 'CIMeC - University of Trento'
    id: 'ORCID: 0000-0002-7407-9917'
  -
    firstname: Vittorio
    lastname: Iacovella
    affiliation: 'CIMeC - University of Trento'
    id: 'ORCID: 0000-0002-0853-1573'
  -
    firstname: Marta
    lastname: Bortoletto
    affiliation: 'IRCCS Centro S Giovanni di Dio Fatebenefratelli, Brescia IT'
    id: 'ORCID: 0000-0002-8489-8043'
  -
    firstname: Carlo
    lastname: Miniussi
    affiliation: 'CIMeC - University of Trento'
    id: 'ORCID: 0000-0002-5436-4745'
title: 'Concurrent Transcranial Magnetic Stimulation (TMS) and Electroencephalography (EEG) for the exploration of brain connectivity'
description: 'Concurrent TMS-EEG was used to record the brain response to single TMS pulses i.e. TMS-evoked potentials (TEPs) on healthy young subjects. TMS was delivered on the parietal and prefrontal nodes of the default-mode network (DMN) extracted from the fMRI of each participant. For each subject, the dataset contains the TMS-EEG recording for each area (IPL, DLPFC - right,left hemisphere), structural, functional and diffusion-tensor MR imaging data.  '
keywords:
  - Neuroscience
  - Electrophysiology
  - 'Magnetic stimulation'
  - TMS-EEG
  - TMS
  - EEG
  - 'Effective connectivity'
  - Connectivity
  - DTI
  - fMRI
  - MRI
  - BIDS
  - EEG-BIDS
license:
  name: 'Creative Commons CC0 1.0 Public Domain Dedication'
  url: 'https://creativecommons.org/publicdomain/zero/1.0/'
funding:
  - 'This work was supported by the Center of Mind/Brain Sciences - CIMeC – University of Trento by Fondazione Caritro'
references:
  -
    id: doi.org/10.1016/j.neuroimage.2021.118272
    reftype: article
    citation: 'Giacomo Bertazzoli, Romina Esposito, Tuomas P. Mutanen, Clarissa Ferrari, Risto J. Ilmoniemi, Carlo Miniussi, Marta Bortoletto, The impact of artifact removal approaches on TMS–EEG signal, NeuroImage(2021), doi:https://doi.org/10.1016/j.neuroimage.2021.118272'
resourcetype: Dataset
templateversion: 1.2