Entorhinal verrucae correlate with surface geometry

Translational Neuroscience

Volumn 3, Issue 2, 2012, Pages 123-131

  Augustinack, Jean C ^a   Huber, Kristen E ^a   Postelnicu, Gheorghe M ^b   Frosch, Matthew P ^a   Pienaar, Rudolph ^a,c   Fischl, Bruce ^a,d  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b GOOGLE   (Switzerland)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

3D; Cortex; Curvature; Ex vivo; Gaussian; Mean; Neuroimaging; Parahippocampal; Surface reconstruction

Indexed keywords

ACCURACY; ADULT; AGED; ANATOMICAL VARIATION; APPLICATION SERVICE PROVIDER; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; ENTORHINAL CORTEX; ENTORHINAL VERRUCAE; EX VIVO STUDY; FEMALE; GEOMETRY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; STRUCTURE ANALYSIS; SURFACE PROPERTY; TISSUE STRUCTURE; VALIDATION STUDY;

EID: 84864838348     PISSN: 20813856     EISSN: 20816936     Source Type: Journal    
DOI: 10.2478/s13380-012-0019-8     Document Type: Article

References (39)

1. Retzius G., Das Menschenhirn, Stockholm: Norstedt and Sonhe, 1896
2. Klinger J., Die makroskopische Anatomie der Ammonsformation, Denkschr. Schweiz. Naturforsch., 1948, 78, 82
3. Augustinack J. C., Huber K. E., Postelnicu G. M., Kakunoori S., Wang R., van der Kouwe A. J., et al. Entorhinal verrucae geometry is coincident and correlates with Alzheimer's lesions: a combined neuropathology and high-resolution ex vivo MRI analysis, Acta Neuropathol., 2012, 123, 85-96
4. Simic G., Bexheti S., Kelovic Z., Kos M., Grbic K., Hof P. R., et al., Hemispheric asymmetry, modular variability and age-related changes in the human entorhinal cortex, Neuroscience, 2005, 130, 911-925
5. Van Hoesen G. W., Anatomy of the medial temporal lobe, Magn. Reson. Imaging., 1995, 13, 1047-1055
6. Van Hoesen G. W., Solodkin A., Some modular features of temporal cortex in humans as revealed by pathological changes in Alzheimer's disease, Cereb. Cortex, 1993, 3, 465-475
7. Todd P. H., A geometric model for the cortical folding pattern of simple folded brains, J. Theor. Biol., 1982, 97, 529-538
8. Ball M. J., Lo P., Granulovacuolar degeneration in the ageing brain and in dementia, J. Neuropathol. Exp. Neurol., 1977, 36, 474-487
9. Griffin L. D., The intrinsic geometry of the cerebral cortex, J. Theor. Biol., 1994, 166, 261-273
10. Ronan L., Pienaar R., Williams G., Bullmore E., Crow T. J., Roberts N., et al., Intrinsic curvature: a marker of millimeter-scale tangential cortico-cortical connectivity?, Int. J. Neural Syst., 2011, 21, 351-366
11. Pienaar R., Fischl B., Caviness V., Makris N., Grant P. E., A Methodology for analyzing curvature in the developing brain from preterm to adult, Int. J. Imaging Syst. Technol., 2008, 18, 42-68
12. Armstrong E., Schleicher A., Omran H., Curtis M., Zilles K., The ontogeny of human gyrification, Cereb. Cortex, 1995, 5, 56-63
13. Caviness V. S. Jr., Mechanical model of brain convolutional development, Science, 1975, 189, 18-21
14. Van Essen D. C., Drury H. A., Structural and functional analyses of human cerebral cortex using a surface-based atlas, J. Neurosci., 1997, 17, 7079-7102
15. Harris J. M., Whalley H., Yates S., Miller P., Johnstone E. C., Lawrie S. M., Abnormal cortical folding in high-risk individuals: a predictor of the development of schizophrenia?, Biol. Psychiatry, 2004, 56, 182-189
16. Nordahl C. W., Dierker D., Mostafavi I., Schumann C. M., Rivera S. M., Amaral D. G., et al., Cortical folding abnormalities in autism revealed by surface-based morphometry, J. Neurosci., 2007, 27, 11725-11735
17. Ochiai T., Grimault S., Scavarda D., Roch G., Hori T., Riviere D., et al., Sulcal pattern and morphology of the superior temporal sulcus, Neuroimage, 2004, 22, 706-719
18. Rodriguez-Carranza C., Mukherjee P., Vigneron D., Barkovich J., Studholme C., A system for measuring regional surface folding of the neonatal brain from MRI, Med. Image Comput. Comput. Assist. Interv., 2006, 9, 201-208
19. Yeo B. T., Yu P., Grant P. E., Fischl B., Golland P., Shape analysis with overcomplete spherical wavelets, Med. Image Comput. Comput. Assist. Interv., 2008, 11, 468-476
20. Yu P., Grant P. E., Qi Y., Han X., Segonne F., Pienaar R., et al., Cortical surface shape analysis based on spherical wavelets, IEEE Trans. Med. Imaging., 2007, 26, 582-597
21. Penttila J., Paillere-Martinot M. L., Martinot J. L., Ringuenet D., Wessa M., Houenou J., et al., Cortical folding in patients with bipolar disorder or unipolar depression, J. Psychiatry Neurosci., 2009, 34, 127-135
22. Sallet P. C., Elkis H., Alves T. M., Oliveira J. R., Sassi E., Campi de Castro C., et al., Reduced cortical folding in schizophrenia: an MRI morphometric study, Am. J. Psychiatry, 2003, 160, 1606-1613
23. Shim G., Jung W. H., Choi J. S., Jung M. H., Jang J. H., Park J. Y., et al., Reduced cortical folding of the anterior cingulate cortex in obsessivecompulsive disorder, J. Psychiatry Neurosci., 2009, 34, 443-449
24. Thompson P. M., Lee A. D., Dutton R. A., Geaga J. A., Hayashi K. M., Eckert M. A., et al., Abnormal cortical complexity and thickness profiles mapped in Williams syndrome, J. Neurosci., 2005, 25, 4146-4158
25. Van Essen D. C., Dierker D., Snyder A. Z., Raichle M. E., Reiss A. L., Korenberg J., Symmetry of cortical folding abnormalities in Williams syndrome revealed by surface-based analyses, J. Neurosci., 2006, 26, 5470-5483
26. Whittle S., Allen N. B., Fornito A., Lubman D. I., Simmons J. G., Pantelis C., et al., Variations in cortical folding patterns are related to individual differences in temperament, Psychiatry Res., 2009, 172, 68-74
27. Wisco J. J., Kuperberg G., Manoach D., Quinn B. T., Busa E., Fischl B., et al., Abnormal cortical folding patterns within Broca's area in schizophrenia: evidence from structural MRI, Schizophr. Res., 2007, 94, 317-327
28. Yoon U., Lee J. M., Im K., Shin Y. W., Cho B. H., Kim I. Y., et al., Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia, Neuroimage, 2007, 34, 1405-1415
29. Dale A. M., Fischl B., Sereno M. I., Cortical surface-based analysis. I. Segmentation and surface reconstruction, Neuroimage, 1999, 9, 179-194
30. Fischl B., Sereno M. I., Dale A. M., Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system, Neuroimage, 1999, 9, 195-207
31. Fischl B., Sereno M. I., Tootell R. B., Dale A. M., High-resolution intersubject averaging and a coordinate system for the cortical surface, Hum. Brain Mapp., 1999, 8, 272-284
32. Lorensen W. E., Cline H. E., Marching cubes: a high resolution 3D surface construction algorithm, Computer Graphics, 1987, 21
33. Solodkin A., Van Hoesen G. W., Entorhinal cortex modules of the human brain, J. Comp. Neurol., 1996, 365, 610-617
34. Van Hoesen G. W., Augustinack J. C., Dierking J., Redman S. J., Thangavel R., The parahippocampal gyrus in Alzheimer's disease. Clinical and preclinical neuroanatomical correlates, Ann. NY Acad. Sci., 2000, 911254-911274
35. Augustinack J. C., van der Kouwe A. J., Blackwell M. L., Salat D. H., Wiggins C. J., Frosch M. P., et al., Detection of entorhinal layer II using 7Tesla magnetic resonance imaging, Ann. Neurol., 2005, 57, 489-494
36. van der Kouwe A. J., Benner T., Dale A. M., Real-time rigid body motion correction and shimming using cloverleaf navigators, Magn. Reson. Med., 2006, 56, 1019-1032
37. van der Kouwe A. J., Benner T., Salat D. H., Fischl B., Brain morphometry with multiecho MPRAGE, Neuroimage, 2008, 40, 559-569
38. Wiggins G. C., Potthast A., Triantafyllou C., Wiggins C. J., Wald L. L., Eight-channel phased array coil and detunable TEM volume coil for 7 T brain imaging, Magn. Reson. Med., 2005, 54, 235-240
39. Wiggins G. C., Triantafyllou C., Potthast A., Reykowski A., Nittka M., Wald L. L., 32-channel 3 Tesla receive-only phased-array head coil with soccer-ball element geometry, Magn. Reson. Med., 2006, 56, 216-223