ArticleNeuroImage2018
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 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
65 citing papers in PubMed.
- Beyond the LUMIR challenge: The pathway to foundational registration models.Medical image analysis · 2026Article
- Condylar position-dependent cerebellar connectivity changes in painful temporomandibular disorder: a brief report.Head & face medicine · 2026Article
- Mapping cerebellar subregional volumes and heterogeneity in schizophrenia spectrum disorders and violence.European archives of psychiatry and clinical neuroscience · 2026Article
- A Digital Anatomical Atlas of the Human Cerebellum at Subfolial Resolution.Human brain mapping · 2026Article
- Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas.Scientific reports · 2026Article
- Posterior cerebellar degeneration associates with executive dysfunction in multiple system atrophy: a voxel-based and atlas-based morphometric study.Clinical parkinsonism & related disorders · 2026Article
- Volumetric signatures of basal ganglia-thalamo-cortical and cerebello-thalamo-cortical networks in Parkinson's disease and its motor subtypes.Frontiers in aging neuroscience · 2026Article
- Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features.Biological psychiatry global open science · 2025Article
- Towards an Informed Choice of Diffusion MRI Image Contrasts for Cerebellar Segmentation.Human brain mapping · 2025Article
- Mapping Cerebellar Morphology in 15q11.2 CNV Carriers Using Normative Modeling.medRxiv : the preprint server for health sciences · 2025Article
- Atrophy of cerebellar lobule VI and primary motor cortex in cervical dystonia - a region of interest-based study.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
- Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers.Brain sciences · 2025Article
- Structural deviations of the posterior fossa and the cerebellum and their cognitive links in a neurodevelopmental deletion syndrome.Molecular psychiatry · 2024Article
- The Human Cerebellum: A Digital Anatomical Atlas at the Level of Individual Folia.bioRxiv : the preprint server for biology · 2024Article
- Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning.Human brain mapping · 2024Article
- The Cerebellum and Cognitive Function: Anatomical Evidence from a Transdiagnostic Sample.Cerebellum (London, England) · 2024Article
- MR Imaging in Ataxias: Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers.Cerebellum (London, England) · 2024Review
- Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes.Cerebellum (London, England) · 2024Article
- Cerebellar volume measures may differentiate multiple sclerosis fallers from non-fallers.Research square · 2024Article
- Smaller Cerebellar Lobule VIIb is Associated with Tremor Severity in Parkinson's Disease.Cerebellum (London, England) · 2024Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
Abstract
The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to regulate emotional responses. Quantitative in-vivo assessment of the cerebellum is important in the study of several neurological diseases including cerebellar ataxia, autism, and schizophrenia. Different structural subdivisions of the cerebellum have been shown to correlate with differing pathologies. To further understand these pathologies, it is helpful to automatically parcellate the cerebellum at the highest fidelity possible. In this paper, we coordinated with colleagues around the world to evaluate automated cerebellum parcellation algorithms on two clinical cohorts showing that the cerebellum can be parcellated to a high accuracy by newer methods. We characterize these various methods at four hierarchical levels: coarse (i.e., whole cerebellum and gross structures), lobe, subdivisions of the vermis, and the lobules. Due to the number of labels, the hierarchy of labels, the number of algorithms, and the two cohorts, we have restricted our analyses to the Dice measure of overlap. Under these conditions, machine learning based methods provide a collection of strategies that are efficient and deliver parcellations of a high standard across both cohorts, surpassing previous work in the area. In conjunction with the rank-sum computation, we identified an overall winning method.
Indexed as
Identifiers
What OpenQuestion holds
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.