Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Functional magnetic resonance imaging (MRI) data are usually registered into standard anatomical space. However, standard atlases, such as LPBA40, the Harvard-Oxford atlas, FreeSurfer, and the Jülich cytoarchitectonic maps all lack important detailed information about small subcortical structures like the substantia nigra and subthalamic nucleus. Here we introduce a new subcortical probabilistic atlas based on ultra-high resolution in-vivo anatomical imaging from 7 T MRI. The atlas includes six important but elusive subcortical nuclei: the striatum, the globus pallidus internal and external segment (GPi/e), the subthalamic nucleus, the substantia nigra, and the red nucleus. With a sample of 30 young subjects and carefully cross-validated delineation protocols, our atlas is able to capture the anatomical variability within healthy populations for each of the included structures at an unprecedented level of detail. All the generated probabilistic atlases are registered to MNI standard space and are publicly available.
Details
Original language | English |
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Pages (from-to) | 40-46 |
Number of pages | 7 |
Journal | NeuroImage |
Volume | 94 |
Publication status | Published - 1 Jul 2014 |
Peer-reviewed | Yes |
External IDs
Scopus | 84898627552 |
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Keywords
Keywords
- Brain/anatomy & histology, Computer Simulation, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Information Storage and Retrieval/methods, Magnetic Resonance Imaging/methods, Male, Models, Anatomic, Models, Biological, Models, Statistical, Reproducibility of Results, Sensitivity and Specificity, Young Adult