Controversies and progress on standardization of large-scale brain network nomenclature

Author:

Uddin Lucina Q.1ORCID,Betzel Richard F.2,Cohen Jessica R.3,Damoiseaux Jessica S.4,De Brigard Felipe5,Eickhoff Simon B.6,Fornito Alex7,Gratton Caterina8,Gordon Evan M.9,Laird Angela R.10,Larson-Prior Linda11,McIntosh A. Randal12,Nickerson Lisa D.13,Pessoa Luiz14,Pinho Ana Luísa15,Poldrack Russell A.16,Razi Adeel7,Sadaghiani Sepideh17,Shine James M.18,Yendiki Anastasia19,Yeo B. T. Thomas20,Spreng R. Nathan21

Affiliation:

1. Department of Psychiatry and Biobehavioral Sciences and Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA

2. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA

3. Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA

4. Institute of Gerontology and Department of Psychology, Wayne State University, Detroit, MI, USA

5. Department of Philosophy, Duke University, Durham, NC, USA

6. Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

7. Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia

8. Department of Psychology, Northwestern University, Evanston, IL, USA

9. Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA

10. Department of Physics, Florida International University, Miami, FL, USA

11. Deptartment of Psychiatry and Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA

12. Institute for Neuroscience and Neurotechnology, Simon Fraser University, Vancouver, BC, Canada

13. Department of Psychiatry, McLean Hospital, Boston, MA, USA

14. Department of Psychology, University of Maryland, College Park, MD, USA

15. Brain and Mind Institute, Western University, London, Ontario, Canada

16. Department of Psychology, Stanford University, Stanford, CA, USA

17. Department of Psychology, University of Illinois, Urbana Champaign, IL, USA

18. Brain and Mind Center, University of Sydney, Sydney, Australia

19. Department of Radiology, Massachusetts General Hospital, Boston, MA, USA

20. Department of Electrical and Computer Engineering, National University of Singapore, Singapore

21. Department of Neurology and Neurosurgery, McGill University, Montreal, Canada

Abstract

Abstract Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level of macroscale organization of the brain, is beginning to confront the challenges associated with developing a taxonomy of its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy of NETworks (WHATNET) was formed in 2020 as an Organization for Human Brain Mapping (OHBM)–endorsed best practices committee to provide recommendations on points of consensus, identify open questions, and highlight areas of ongoing debate in the service of moving the field toward standardized reporting of network neuroscience results. The committee conducted a survey to catalog current practices in large-scale brain network nomenclature. A few well-known network names (e.g., default mode network) dominated responses to the survey, and a number of illuminating points of disagreement emerged. We summarize survey results and provide initial considerations and recommendations from the workgroup. This perspective piece includes a selective review of challenges to this enterprise, including (1) network scale, resolution, and hierarchies; (2) interindividual variability of networks; (3) dynamics and nonstationarity of networks; (4) consideration of network affiliations of subcortical structures; and (5) consideration of multimodal information. We close with minimal reporting guidelines for the cognitive and network neuroscience communities to adopt.

Funder

NIMH

NIH

NSF

Canada First Research Excellence Fund

Canadian Institute of Health Research

Natural Sciences and Engineering Research Council of Canada

NIA

Fonds de recherche du Québec – Santé

Publisher

MIT Press

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,General Neuroscience

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