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Predicting the Location of Entorhinal Cortex from MRI
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Fischl B.1, Stevens A.A.1, Rajendran N.5, Yeo B.T.T.2, Greve D.N.1, Van Leemput K.1, Polimeni J.R.1, Kakunoori S.1, Buckner R.L.1, Pacheco J.6, Salat D.H.1, Melcher J.4, Frosch M.P.3, Hyman B.T.3, Grant P.E.1, Rosen B.R.1, van der Kouwe A.J.W.1, Wiggins G.C.7, Wald L.L.1, Augustinack J.C.1
Institution: |
1Athinoula A Martinos Center, Department of Radiology, MGH, Harvard Medical School, Charlestown, MA 02129, USA. fischl@nmr.mgh.harvard.edu 2MIT Computer Science and AI Lab, Cambridge, MA 02139, USA. 3Department of Neurology, MGH, Harvard Medical School, USA. 4Department of Otology and Laryngology, MGH, Harvard Medical School, USA. 5RUSH Alzheimer's Disease Center, RUSH University Medical Center, 600 S. Paulina, Suite 1044, Chicago, IL 60612, USA. 6Department of Psychology, The University of Texas at Austin, USA. 7Center for Biomedical Imaging, NYU Medical Center, New York, NY, USA. |
Publisher: |
Neuroimage |
Publication Date: |
Aug-2009 |
Volume Number: |
47 |
Issue Number: |
1 |
Pages: |
8-17 |
Citation: |
Neuroimage. 2009 Aug 1;47(1):8-17. |
PubMed ID: |
19376238 |
PMCID: |
PMC2738987 |
Keywords: |
Morphometry, MRI, Alzheimer's disease |
Appears in Collections: |
NA-MIC |
Sponsors: |
P41 RR14075 (RR) funded by NCRR NIH HHS R01 EB001550 (EB) funded by NIBIB NIH HHS R01 NS052585-01 (NS) funded by NINDS NIH HHS R01 EB006758 (EB) funded by NIBIB NIH HHS U24 RR021382 (RR) funded by NCRR NIH HHS U54 EB005149 (EB) funded by NIBIB NIH HHS |
Generated Citation: |
Fischl B., Stevens A.A., Rajendran N., Yeo B.T.T., Greve D.N., Van Leemput K., Polimeni J.R., Kakunoori S., Buckner R.L., Pacheco J., Salat D.H., Melcher J., Frosch M.P., Hyman B.T., Grant P.E., Rosen B.R., van der Kouwe A.J.W., Wiggins G.C., Wald L.L., Augustinack J.C. Predicting the Location of Entorhinal Cortex from MRI. Neuroimage. 2009 Aug 1;47(1):8-17. PMID: 19376238. PMCID: PMC2738987. |
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Entorhinal cortex (EC) is a medial temporal lobe area critical to memory formation and spatial navigation that is among the earliest parts of the brain affected by Alzheimer's disease (AD). Accurate localization of EC would thus greatly facilitate early detection and diagnosis of AD. In this study, we used ultra-high resolution ex vivo MRI to directly visualize the architectonic features that define EC rostrocaudally and mediolaterally, then applied surface-based registration techniques to quantify the variability of EC with respect to cortical geometry, and made predictions of its location on in vivo scans. The results indicate that EC can be localized quite accurately based on cortical folding patterns, within 3 mm in vivo, a significant step forward in our ability to detect the earliest effects of AD when clinical intervention is most likely to be effective.
Additional Material
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