ArticleFrontiers in neuroinformatics2022
Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved
Article in Frontiers in neuroinformatics, 2022. 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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9 citing papers in PubMed, 19 citations in OpenAlex.
- Evaluation of a New Paracingulate Sulcus Identification and Measurement Protocol.Human brain mapping · 2026Article
- Reassessing Asymmetry Reduction in Psychosis: Cingulate Folding and Gyrification Covariance in Patients with Auditory Hallucinations.Schizophrenia bulletin · 2026Article
- Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas.Scientific reports · 2026Article
- Chemoarchitectural studies of the rat hypothalamus and zona incerta.bioRxiv : the preprint server for biology · 2025Article
- A self-supervised learning framework for discovering cortical folding patterns under genetic influence: Application to the Anterior Cingulate Cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Comparative analysis of the chimpanzee and human brain superficial structural connectivities.Brain structure & function · 2024Article
- Unique longitudinal contributions of sulcal interruptions to reading acquisition in children.bioRxiv : the preprint server for biology · 2024Article
- Segmentation of incident lacunes during the course of ischemic cerebral small vessel diseases.Frontiers in neurology · 2023Article
- Evolutionary signatures in deep white matter architecture: A comparative study of humans and chimpanzees.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
14 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain mapping studies often need to identify brain structures or functional circuits into a set of individual brains. To this end, multiple atlases have been published to represent such structures based on different modalities, subject sets, and techniques. The mainstream approach to exploit these atlases consists in spatially deforming each individual data onto a given atlas using dense deformation fields, which supposes the existence of a continuous mapping between atlases and individuals. However, this continuity is not always verified, and this "iconic" approach has limits. We present in this study an alternative, complementary, "structural" approach, which consists in extracting structures from the individual data, and comparing them without deformation. A "structural atlas" is thus a collection of annotated individual data with a common structure nomenclature. It may be used to characterize structure shape variability across individuals or species, or to train machine learning systems. This study exhibits
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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.