The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology / C. Holdgraf, S. Appelhoff, S. Bickel, K. Bouchard, S. D'Ambrosio, O. David, O. Devinsky, B. Dichter, A. Flinker, B.L. Foster, K.J. Gorgolewski, I. Groen, D. Groppe, A. Gunduz, L. Hamilton, C.J. Honey, M. Jas, R. Knight, J. Lachaux, J.C. Lau, C. Lee-Messer, B.N. Lundstrom, K.J. Miller, J.G. Ojemann, R. Oostenveld, N. Petridou, G. Piantoni, A. Pigorini, N. Pouratian, N.F. Ramsey, A. Stolk, N.C. Swann, F. Tadel, B. Voytek, B.A. Wandell, J. Winawer, K. Whitaker, L. Zehl, D. Hermes. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 6:1(2019 Jun 25), pp. 102.1-102.6. [10.1038/s41597-019-0105-7]

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

S. D'Ambrosio;A. Pigorini;
2019

Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.
Settore BIO/09 - Fisiologia
25-giu-2019
Article (author)
File in questo prodotto:
File Dimensione Formato  
bids_holdgraf_2019.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/830416
Citazioni
  • ???jsp.display-item.citation.pmc??? 53
  • Scopus 85
  • ???jsp.display-item.citation.isi??? 75
social impact