ArticleNature methods2024
A cortical surface template for human neuroscience.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Brain Mechanisms of Lexicality in Bilingual Emotion Processing.bioRxiv : the preprint server for biology · 2026Article
- Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Hidden folds reveal brain organization.eLife · 2026Article
- Cortical functional hierarchy disruption following subcortical stroke.BMC medicine · 2026Article
- BoneDat, a database of standardized bone morphology for in silico analyses.Scientific data · 2025Article
- Spurious correlations in surface-based functional brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The effect of spherical projection on spin tests for brain maps.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surface.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Neuroimaging data analysis relies on normalization to standard anatomical templates to resolve macroanatomical differences across brains. Existing human cortical surface templates sample locations unevenly because of distortions introduced by inflation of the folded cortex into a standard shape. Here we present the onavg template, which affords uniform sampling of the cortex. We created the onavg template based on openly available high-quality structural scans of 1,031 brains-25 times more than existing cortical templates. We optimized the vertex locations based on cortical anatomy, achieving an even distribution. We observed consistently higher multivariate pattern classification accuracies and representational geometry inter-participant correlations based on onavg than on other templates, and onavg only needs three-quarters as much data to achieve the same performance compared with other templates. The optimized sampling also reduces CPU time across algorithms by 1.3-22.4% due to less variation in the number of vertices in each searchlight.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.