The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI
Open accessAbstract
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.
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Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Amunts, K., Kedo, O., Kindler, M., Pieperhoff, P., Mohlberg, H., Shah, N. J., Habel, U., Schneider, F., & Zilles, K. (2005) · Anatomy and Embryology · doi:10.1007/s00429-005-0025-5 · Cited by 1,264
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., Sommer, K., Reishofer, G., Yen, K., Fazekas, F., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.049 · Cited by 801
Cortical folding patterns and predicting cytoarchitecture
Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm225 · Cited by 737
Deistung, A., Schäfer, A., Schweser, F., Biedermann, U., Turner, R., & Reichenbach, J. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.055 · Cited by 442
Self-citationDevlin, J. T., & Poldrack, R. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.055 · Cited by 195
Lenglet, C., Abosch, A., Yacoub, E., De Martino, F., Sapiro, G., & Harel, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029153 · Cited by 164 · cited 1×
“…of ultra-high field 7 T MRI probability atlas maps (e.g., Abosch iatum; GPe: globus pallidus external segment; GPi: globus pallidus internal segment; STh: et al., 2010; Eapen et al., 2011; Forstmann et al., 2012; Keuken et al., 2013; Kwon et al., 2012; Lenglet et al., 2012;Mansfield et al., 2011).”
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Metadata
- Authors
- Keuken, M. C., Bazin, P.-L., Crown, L., Hootsmans, J., Laufer, A., Müller-Axt, C., Sier, R., van der Putten, E. J., Schäfer, A., Turner, R., & Forstmann, B. U.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 94
- Pages
- 40-46
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2129503911
- Cited by
- 223
- References
- 8
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Keuken, M. C., Bazin, P.-L., Crown, L., Hootsmans, J., Laufer, A., Müller-Axt, C., Sier, R., van der Putten, E. J., Schäfer, A., Turner, R., & Forstmann, B. U. (2014). Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. NeuroImage. https://doi.org/10.1016/j.neuroimage.2014.03.032
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