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Controversies and progress on standardization of large-scale brain network nomenclature
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473266/ https://www.ncbi.nlm.nih.gov/pubmed/37781138 http://dx.doi.org/10.1162/netn_a_00323 |
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author | Uddin, Lucina Q. Betzel, Richard F. Cohen, Jessica R. Damoiseaux, Jessica S. De Brigard, Felipe Eickhoff, Simon B. Fornito, Alex Gratton, Caterina Gordon, Evan M. Laird, Angela R. Larson-Prior, Linda McIntosh, A. Randal Nickerson, Lisa D. Pessoa, Luiz Pinho, Ana Luísa Poldrack, Russell A. Razi, Adeel Sadaghiani, Sepideh Shine, James M. Yendiki, Anastasia Yeo, B. T. Thomas Spreng, R. Nathan |
author_facet | Uddin, Lucina Q. Betzel, Richard F. Cohen, Jessica R. Damoiseaux, Jessica S. De Brigard, Felipe Eickhoff, Simon B. Fornito, Alex Gratton, Caterina Gordon, Evan M. Laird, Angela R. Larson-Prior, Linda McIntosh, A. Randal Nickerson, Lisa D. Pessoa, Luiz Pinho, Ana Luísa Poldrack, Russell A. Razi, Adeel Sadaghiani, Sepideh Shine, James M. Yendiki, Anastasia Yeo, B. T. Thomas Spreng, R. Nathan |
author_sort | Uddin, Lucina Q. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10473266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104732662023-10-01 Controversies and progress on standardization of large-scale brain network nomenclature Uddin, Lucina Q. Betzel, Richard F. Cohen, Jessica R. Damoiseaux, Jessica S. De Brigard, Felipe Eickhoff, Simon B. Fornito, Alex Gratton, Caterina Gordon, Evan M. Laird, Angela R. Larson-Prior, Linda McIntosh, A. Randal Nickerson, Lisa D. Pessoa, Luiz Pinho, Ana Luísa Poldrack, Russell A. Razi, Adeel Sadaghiani, Sepideh Shine, James M. Yendiki, Anastasia Yeo, B. T. Thomas Spreng, R. Nathan Netw Neurosci Research Article 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. MIT Press 2023-10-01 /pmc/articles/PMC10473266/ /pubmed/37781138 http://dx.doi.org/10.1162/netn_a_00323 Text en © 2023 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Uddin, Lucina Q. Betzel, Richard F. Cohen, Jessica R. Damoiseaux, Jessica S. De Brigard, Felipe Eickhoff, Simon B. Fornito, Alex Gratton, Caterina Gordon, Evan M. Laird, Angela R. Larson-Prior, Linda McIntosh, A. Randal Nickerson, Lisa D. Pessoa, Luiz Pinho, Ana Luísa Poldrack, Russell A. Razi, Adeel Sadaghiani, Sepideh Shine, James M. Yendiki, Anastasia Yeo, B. T. Thomas Spreng, R. Nathan Controversies and progress on standardization of large-scale brain network nomenclature |
title | Controversies and progress on standardization of large-scale brain network nomenclature |
title_full | Controversies and progress on standardization of large-scale brain network nomenclature |
title_fullStr | Controversies and progress on standardization of large-scale brain network nomenclature |
title_full_unstemmed | Controversies and progress on standardization of large-scale brain network nomenclature |
title_short | Controversies and progress on standardization of large-scale brain network nomenclature |
title_sort | controversies and progress on standardization of large-scale brain network nomenclature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473266/ https://www.ncbi.nlm.nih.gov/pubmed/37781138 http://dx.doi.org/10.1162/netn_a_00323 |
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