A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

The brain can be decomposed into large-scale functional networks, but the specific spatial topographies of these networks and the names used to describe them vary across studies. Such discordance has hampered interpretation and convergence of research findings across the field. We have developed the Network Correspondence Toolbox (NCT) to permit researchers to examine and report spatial correspondence between their novel neuroimaging results and multiple widely used functional brain atlases. We provide several exemplar demonstrations to illustrate how researchers can use the NCT to report their own findings. The NCT provides a convenient means for computing Dice coefficients with spin test permutations to determine the magnitude and statistical significance of correspondence among user-defined maps and existing atlas labels. The adoption of the NCT will make it easier for network neuroscience researchers to report their findings in a standardized manner, thus aiding reproducibility and facilitating comparisons between studies to produce interdisciplinary insights.

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Publication Details

Journal
Nature Communications
Published
2025-03-25
DOI
https://doi.org/10.1038/s41467-025-58176-9
Citations
42
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
60.11

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article

A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

Simon Bodo Eickhoff, Aihuiping Xue, James M. Shine, B.T. Thomas Yeo et al.
42 citations
Nature Communications
Functional Brain Connectivity Studies
60.11
article

A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

Simon Bodo Eickhoff, Aihuiping Xue, James M. Shine, B.T. Thomas Yeo, Lisa D. H. Nickerson, Jessica R. Cohen, Sepideh Sadaghiani, Adeel Razi, Felipe De Brigard, Angela R. Laird, Linda Larson‐Prior, Evan M. Gordon, Ana Lúısa Pinho, Caterina Gratton, Ru Kong, R. Nathan Spreng, Anastasia Yendiki, Jessica S. Damoiseaux, Richard F. Betzel, Lucina Q. Uddin, Avram J. Holmes
article en
42 citations

Abstract

The brain can be decomposed into large-scale functional networks, but the specific spatial topographies of these networks and the names used to describe them vary across studies. Such discordance has hampered interpretation and convergence of research findings across the field. We have developed the Network Correspondence Toolbox (NCT) to permit researchers to examine and report spatial correspondence between their novel neuroimaging results and multiple widely used functional brain atlases. We provide several exemplar demonstrations to illustrate how researchers can use the NCT to report their own findings. The NCT provides a convenient means for computing Dice coefficients with spin test permutations to determine the magnitude and statistical significance of correspondence among user-defined maps and existing atlas labels. The adoption of the NCT will make it easier for network neuroscience researchers to report their findings in a standardized manner, thus aiding reproducibility and facilitating comparisons between studies to produce interdisciplinary insights.

Nature CommunicationsVol. 16(1)
Rutgers, The State University of New Jersey (US), University of North Carolina at Chapel Hill (US), Western University (CA), The University of Sydney (AU), Harvard University (US), University of Illinois Urbana-Champaign (US), University of California, Los Angeles (US), National University of Singapore (SG), Duke University (US), Wayne State University (US), Florida International University (US), McLean Hospital (US), Massachusetts General Hospital (US), Mallinckrodt (United States) (US), Neurobehavioral Systems (US), Indiana University Bloomington (US), Heinrich Heine University Düsseldorf (DE), McGill University (CA), Monash University (AU), University of Arkansas for Medical Sciences (US)
National Institute on Drug Abuse, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 0%
Functional Brain Connectivity Studies
60.11
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