ArticleHuman brain mapping2026
A Digital Anatomical Atlas of the Human Cerebellum at Subfolial Resolution.
Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Advancing Cerebro-cerebellar Network Imaging with Ultra-high Field (7T) MRI: Progress and Future Challenges.Cerebellum (London, England) · 2026Review
- Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.NeuroImage · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Interest in the cerebellum has surged with the emerging consensus that it supports diverse functions that are topographically arranged across the cerebellar cortex. Further refinement of these in vivo structure-function relationships is limited by the resolution of existing atlases. Here we present a digital atlas derived from a recent reconstruction of the human cerebellar cortical surface with a mean inter-vertex spacing of 0.16 mm, sufficient to accurately trace the contours of the subfolia, while being consistent with the Schmahmann et al. atlas at the lobular level. We also present ARCUS, a diffeomorphic atlas-to-subject registration approach that yields an atlas-derived, lobule-labeled cerebellar cortical sheet with macroscale folding geometry in individual subjects from standard-resolution MRI. Publicly released, this atlas offers an anatomical ground-truth reference in both volumetric and surface representations at unprecedented granularity, enabling novel and more precise analyses and visualizations of cerebellar data.
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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.