ReviewFrontiers in neuroinformatics2017
Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging.
Review in Frontiers in neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Fetal brain MRI atlases and datasets: A review.NeuroImage · 2024Pooled it
- Machine learning with neuroimaging data to identify autism spectrum disorder: a systematic review and meta-analysis.Neuroradiology · 2021Pooled it
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Digital Atlases to Unlock the Potential of Brain Biorepository Tissues for Interdisciplinary Research.bioRxiv : the preprint server for biology · 2026Article
- Review
- Home numeracy experiences are associated with number-related brain activity and connectivity in early childhood.NPJ science of learning · 2026Article
- A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.PloS one · 2026Article
- Inter-individual alignment of multimodal brain networks with anatomical constraints.Network neuroscience (Cambridge, Mass.) · 2026Article
- Longitudinal diffusion tensor imaging correlates with amyloid burden in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Deep-Diffeomorphic Networks for Conditional Brain Templates.Human brain mapping · 2025Article
- Determining the atlas correspondence of Desikan-Killiany-Tourville and Glasser MMP1 atlases across magnetic field strengths.Journal of neuroscience methods · 2025Article
- JOSA: Joint surface-based registration and atlas construction of brain geometry and function.Medical image analysis · 2024Article
- Quantifying Arm and Leg Movements in 3-Month-Old Infants Using Pose Estimation: Proof of Concept.Sensors (Basel, Switzerland) · 2024Article
- Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Predicting high-level visual areas in the absence of task fMRI.Scientific reports · 2024Article
- Impact of brain parcellation on prediction performance in models of cognition and demographics.Human brain mapping · 2024Article
- A personalized cortical atlas for functional regions of interest.Journal of neurophysiology · 2023Article
- Article
- Deep causal feature extraction and inference with neuroimaging genetic data.Statistics in medicine · 2023Article
- Predicting Motor Outcomes Using Atlas-Based Voxel Features of Post-Stroke Neuroimaging: A Scoping Review.Neurorehabilitation and neural repair · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Brain MRI atlases may be used to characterize brain structural changes across the life course. Atlases have important applications in research, e.g., as registration and segmentation targets to underpin image analysis in population imaging studies, and potentially in future in clinical practice, e.g., as templates for identifying brain structural changes out with normal limits, and increasingly for use in surgical planning. However, there are several caveats and limitations which must be considered before successfully applying brain MRI atlases to research and clinical problems. For example, the influential Talairach and Tournoux atlas was derived from a single fixed cadaveric brain from an elderly female with limited clinical information, yet is the basis of many modern atlases and is often used to report locations of functional activation. We systematically review currently available whole brain structural MRI atlases with particular reference to the implications for population imaging through to emerging clinical practice. We found 66 whole brain structural MRI atlases world-wide. The vast majority were based on T1, T2, and/or proton density (PD) structural sequences, had been derived using parametric statistics (inappropriate for brain volume distributions), had limited supporting clinical or cognitive data, and included few younger (>5 and <18 years) or older (>60 years) subjects. To successfully characterize brain structural features and their changes across different stages of life, we conclude that whole brain structural MRI atlases should include: more subjects at the upper and lower extremes of age; additional structural sequences, including fluid attenuation inversion recovery (FLAIR) and T2
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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.