Skip to main content
construction release_alert
Profile editing will be unavailable for Scholars@Duke profiles from June 11-24, 2026 as manual profile data entry transitions to Elements. More information about the transition.
cancel
Journal cover image

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

Publication ,  Journal Article
Keuken, MC; Bazin, P-L; Crown, L; Hootsmans, J; Laufer, A; Müller-Axt, C; Sier, R; van der Putten, EJ; Schäfer, A; Turner, R; Forstmann, BU
Published in: Neuroimage
July 1, 2014

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.

Duke Scholars

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

July 1, 2014

Volume

94

Start / End Page

40 / 46

Location

United States

Related Subject Headings

  • Young Adult
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Neurology & Neurosurgery
  • Models, Statistical
  • Models, Biological
  • Models, Anatomic
  • Male
  • Magnetic Resonance Imaging
  • Information Storage and Retrieval
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Keuken, M. C., Bazin, P.-L., Crown, L., Hootsmans, J., Laufer, A., Müller-Axt, C., … Forstmann, B. U. (2014). Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. Neuroimage, 94, 40–46. https://doi.org/10.1016/j.neuroimage.2014.03.032
Keuken, M. C., P. -. L. Bazin, L. Crown, J. Hootsmans, A. Laufer, C. Müller-Axt, R. Sier, et al. “Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI.Neuroimage 94 (July 1, 2014): 40–46. https://doi.org/10.1016/j.neuroimage.2014.03.032.
Keuken MC, Bazin P-L, Crown L, Hootsmans J, Laufer A, Müller-Axt C, et al. Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. Neuroimage. 2014 Jul 1;94:40–6.
Keuken, M. C., et al. “Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI.Neuroimage, vol. 94, July 2014, pp. 40–46. Pubmed, doi:10.1016/j.neuroimage.2014.03.032.
Keuken MC, Bazin P-L, Crown L, Hootsmans J, Laufer A, Müller-Axt C, Sier R, van der Putten EJ, Schäfer A, Turner R, Forstmann BU. Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. Neuroimage. 2014 Jul 1;94:40–46.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

July 1, 2014

Volume

94

Start / End Page

40 / 46

Location

United States

Related Subject Headings

  • Young Adult
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Neurology & Neurosurgery
  • Models, Statistical
  • Models, Biological
  • Models, Anatomic
  • Male
  • Magnetic Resonance Imaging
  • Information Storage and Retrieval