Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.

Frishkoff, Gwen and Sydes, Jason and Mueller, Kurt and Frank, Robert and Curran, Tim and Connolly, John and Kilborn, Kerry and Molfese, Dennis and Perfetti, Charles and Malony, Allen (2011) Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data. Stand Genomic Sci, 5 (2). 211 - 223.

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (1MB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

We present MINEMO (Minimal Information for Neural ElectroMagnetic Ontologies), a checklist for the description of event-related potentials (ERP) studies. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. The database then stores these entries in RDF (Resource Description Framework), along with summary metrics, i.e., spatial and temporal metadata. Together these spatial, temporal, and functional metadata provide a complete description of ERP data and the context in which these data were acquired. The RDF files then serve as inputs to ontology-based labeling and meta-analysis. Our ultimate goal is to represent ERPs using a rich semantic structure, so results can be queried at multiple levels, to stimulate novel hypotheses and to promote a high-level, integrative account of ERP results across diverse study methods and paradigms.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Frishkoff, Gwen
Sydes, Jason
Mueller, Kurt
Frank, Robert
Curran, Tim
Connolly, John
Kilborn, Kerry
Molfese, Dennis
Perfetti, Charlesperfetti@pitt.eduPERFETTI
Malony, Allen
Date: 30 November 2011
Date Type: Publication
Journal or Publication Title: Stand Genomic Sci
Volume: 5
Number: 2
Page Range: 211 - 223
DOI or Unique Handle: 10.4056/sigs.2025347
Schools and Programs: Dietrich School of Arts and Sciences > Linguistics
Dietrich School of Arts and Sciences > Psychology
Refereed: Yes
Uncontrolled Keywords: Ontology, data sharing, database, electrophysiology, event-related potentials, experiment metadata, neuroscience, standardization
Funders: NIBIB NIH HHS (R01 EB007684-04), NIBIB NIH HHS (R01 EB007684-03), NIBIB NIH HHS (R01 EB007684-01A2), NIBIB NIH HHS (R01 EB007684-02), NIBIB NIH HHS (R01 EB007684)
Date Deposited: 31 Oct 2016 16:39
Last Modified: 23 Sep 2020 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/30023

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item