Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • M C Keuken - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • P-L Bazin - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • L Crown - , Cognitive Science Center Amsterdam (Autor:in)
  • J Hootsmans - , Cognitive Science Center Amsterdam (Autor:in)
  • A Laufer - , Cognitive Science Center Amsterdam (Autor:in)
  • C Müller-Axt - , Professur Kognitive und Klinische Neurowissenschaft, Cognitive Science Center Amsterdam (Autor:in)
  • R Sier - , Cognitive Science Center Amsterdam (Autor:in)
  • E J van der Putten - , Cognitive Science Center Amsterdam (Autor:in)
  • A Schäfer - , Professur für Landschaftsarchitektur, Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • R Turner - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • B U Forstmann - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)40-46
Seitenumfang7
FachzeitschriftNeuroImage
Jahrgang94
PublikationsstatusVeröffentlicht - 1 Juli 2014
Peer-Review-StatusJa

Externe IDs

Scopus 84898627552

Schlagworte

Schlagwörter

  • 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

Bibliotheksschlagworte