Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Ontological Dimensions of Cognitive-Neural Mappings

Taylor Bolt, Jason S. Nomi, Rachel Arens, Shruti G. Vij, Michael Riedel, Taylor Salo, Angela R. Laird, Simon B. Eickhoff, Lucina Q. Uddin
doi: https://doi.org/10.1101/524520
Taylor Bolt
1Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: tsb46@miami.edu
Jason S. Nomi
2Department of Psychology, University of Miami, Coral Gables, FL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Arens
3Department of Neuroscience, Kenyon College, Gambier, OH, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shruti G. Vij
4Philips Research, Boston, MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Riedel
5Department of Physics, Florida International University, Miami, FL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Taylor Salo
6Department of Psychology, Florida International University, Miami, FL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Angela R. Laird
5Department of Physics, Florida International University, Miami, FL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Simon B. Eickhoff
7Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
8Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lucina Q. Uddin
2Department of Psychology, University of Miami, Coral Gables, FL, USA
9Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

The growing literature reporting results of cognitive-neural mappings has increased calls for an adequate organizing ontology, or taxonomy, of these mappings. This enterprise is non-trivial, as relevant dimensions that might contribute to such an ontology are not yet agreed upon. We propose that any candidate dimensions should be evaluated on their ability to explain observed differences in functional neuroimaging activation patterns. In this study, we use a large sample of task-based functional magnetic resonance imaging (task-fMRI) results and a data-driven strategy to identify these dimensions. First, using a data-driven dimension reduction approach and multivariate distance matrix regression (MDMR), we quantify the variance among activation maps that is explained by existing ontological dimensions. We find that ‘task paradigm’ categories explain the most variance among task-activation maps than other dimensions, including latent cognitive categories. Surprisingly, ‘study ID’, or the study from which each activation map was reported, explained close to 50% of the variance in activation patterns. Using a clustering approach that allows for overlapping clusters, we derived data-driven latent activation states, associated with re-occurring configurations of the canonical fronto-parietal/salience, sensory-motor, and default mode network activation patterns. Importantly, with only four data-driven latent dimensions, one can explain greater variance among activation maps than all conventional ontological dimensions combined. These latent dimensions may inform a data-driven cognitive ontology, and suggest that current descriptions of cognitive processes and the tasks used to elicit them do not accurately reflect activation patterns commonly observed in the human brain.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted January 18, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Ontological Dimensions of Cognitive-Neural Mappings
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Ontological Dimensions of Cognitive-Neural Mappings
Taylor Bolt, Jason S. Nomi, Rachel Arens, Shruti G. Vij, Michael Riedel, Taylor Salo, Angela R. Laird, Simon B. Eickhoff, Lucina Q. Uddin
bioRxiv 524520; doi: https://doi.org/10.1101/524520
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Ontological Dimensions of Cognitive-Neural Mappings
Taylor Bolt, Jason S. Nomi, Rachel Arens, Shruti G. Vij, Michael Riedel, Taylor Salo, Angela R. Laird, Simon B. Eickhoff, Lucina Q. Uddin
bioRxiv 524520; doi: https://doi.org/10.1101/524520

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8762)
  • Bioengineering (6479)
  • Bioinformatics (23341)
  • Biophysics (11750)
  • Cancer Biology (9149)
  • Cell Biology (13247)
  • Clinical Trials (138)
  • Developmental Biology (7416)
  • Ecology (11369)
  • Epidemiology (2066)
  • Evolutionary Biology (15087)
  • Genetics (10399)
  • Genomics (14009)
  • Immunology (9121)
  • Microbiology (22040)
  • Molecular Biology (8779)
  • Neuroscience (47367)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3704)
  • Plant Biology (8050)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2208)
  • Systems Biology (6016)
  • Zoology (1249)