ArticleScientific data2021
Standardizing human brain parcellations.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix Factorization.Clinical neuroradiology · 2026Article
- Siibra: a software tool suite for realizing a Multilevel Human Brain Atlas from complex data resources.Nature methods · 2026Article
- A hierarchical framework for cortical and subcortical gray-matter parcellation across rodents, primates, and humans.Nature communications · 2026Article
- Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines (2017-2025: An update) - endorsed by the European Society for Brain Stimulation (ESBS) and by the International Federation for Clinical Neurophysiology (IFCN).Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Review
- Associations between structural brain alterations and dysfunction across cognitive domains in cerebral small vessel disease: A systematic review and meta-analysis.Neuroimage. Reports · 2026Review
- An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026Article
- Metastability of resting-state bold fMRI as a reliable biomarker of individual brain dynamics: An interrogation of within-subject variability as a function of total acquisition time.Network neuroscience (Cambridge, Mass.) · 2026Article
- On the translational potential of atlases in precision oncology.Translational cancer research · 2025Review
- The effective connectome over a century of human life.Communications biology · 2025Article
- st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks.Human brain mapping · 2025Article
- Development of areal-level individualized homologous functional parcellations in youth.Communications biology · 2025Article
- Determining the atlas correspondence of Desikan-Killiany-Tourville and Glasser MMP1 atlases across magnetic field strengths.Journal of neuroscience methods · 2025Article
- Comparison of the Correlation Between Cerebral [Molecular imaging and biology · 2025Article
- Decoding dynamic brain networks in Parkinson's disease with temporal attention.Scientific reports · 2025Article
- A genetically informed brain atlas for enhancing brain imaging genomics.Nature communications · 2025Article
- Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results.Nature communications · 2025Article
- Characterizing changes to individual-specific brain signature with age.Frontiers in aging neuroscience · 2025Article
- MRI-based whole-brain elastography and volumetric measurements to predict brain age.Biology methods & protocols · 2025Article
- Multiscale comparative connectomics.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc .
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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.