ArticleFrontiers in neurology2019
MRI Atlas of the Human Deep Brain.
Article in Frontiers in neurology, 2019. 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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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
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Who cites it
9 citing papers in PubMed.
- The Extremely Brilliant Brain: An Isotropic Microscale Human Brain Dataset.bioRxiv : the preprint server for biology · 2026Article
- Identification and characterization of the thalamic ventral posterior complex by 11.7T ex vivo diffusion tensor imaging.Brain structure & function · 2025Article
- An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis.Scientific data · 2024Article
- Deep brain stimulation of the subthalamic nucleus in severe Parkinson's disease: relationships between dual-contact topographic setting and 1-year worsening of speech and gait.Acta neurochirurgica · 2023Observational
- Advances in Technical Aspects of Deep Brain Stimulation Surgery.Stereotactic and functional neurosurgery · 2023Review
- Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain.Frontiers in neuroscience · 2021Article
- Puberty, A Sensitive Window of Hypothalamic Development and Plasticity.Endocrinology · 2021Review
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- Anatomical brain structures normalization for deep brain stimulation in movement disorders.NeuroImage. Clinical · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Mastering detailed anatomy of the human deep brain in clinical neurosciences is challenging. Although numerous pioneering works have gathered a large dataset of structural and topographic information, it is still difficult to transfer this knowledge into practice, even with advanced magnetic resonance imaging techniques. Thus, classical histological atlases continue to be used to identify structures for stereotactic targeting in functional neurosurgery. Physicians mainly use these atlases as a template co-registered with the patient's brain. However, it is possible to directly identify stereotactic targets on MRI scans, enabling personalized targeting. In order to help clinicians directly identify deep brain structures relevant to present and future medical applications, we built a volumetric MRI atlas of the deep brain (MDBA) on a large scale (infra millimetric). Twelve hypothalamic, 39 subthalamic, 36 telencephalic, and 32 thalamic structures were identified, contoured, and labeled. Nineteen coronal, 18 axial, and 15 sagittal MRI plates were created. Although primarily designed for direct labeling, the anatomic space was also subdivided in twelfths of AC-PC distance, leading to proportional scaling in the coronal, axial, and sagittal planes. This extensive work is now available to clinicians and neuroscientists, offering another representation of the human deep brain ([https://hal.archives-ouvertes.fr/] [hal-02116633]). The atlas may also be used by computer scientists who are interested in deciphering the topography of this complex region.
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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.