Corpus callosum shape analysis with application to dyslexia

[1] Rilling J.K., Insel T.R., The primate neocortex in comparative perspective using magnetic resonance imaging, J. Hum. Evol., 1999, 37, 191–223 http://dx.doi.org/10.1006/jhev.1999.031310.1006/jhev.1999.0313Search in Google Scholar

[2] Olivares R., Michalland S., Aboitiz F., Cross-species and intraspecies morphometric analysis of the corpus callosum, Brain. Behav. Evol., 2000, 55, 37–43 http://dx.doi.org/10.1159/00000664010.1159/000006640Search in Google Scholar

[3] Striedter G.F., Principles of brain evolution, Sinauer Associates, Sunderland, 2005 Search in Google Scholar

[4] Johnson S.B., Casanova M.F., Interhemispheric connectivity: the evolution and nature of the corpus callosum, In: T.B. Westland and R.N. Calton, (Eds.), Handbook on white matter: Structure, function, and changes, Nova Science, Hauppauge, 2009, 3–15 Search in Google Scholar

[5] Williams E.L., Casanova M.F., Autism and dyslexia: a spectrum of cognitive styles as defined by minicolumnar morphometry, Med. Hypotheses, 2009, in press 10.1016/j.mehy.2009.08.003Search in Google Scholar

[6] Wolf M., Proust and the squid: The story and science of the reading brain, HarperCollins, New York, 2007 Search in Google Scholar

[7] Vellutino F.R., Scanlon D.M., Phonological coding, phonological awareness and reading ability: evidence from a longitudinal and experimental study, Merrill-Palmer Q., 1987, 33, 321–363 Search in Google Scholar

[8] Casanova M.F., Araque J., Giedd J., Rumsey J.M., Reduced brain size and gyrification in the brains of dyslexic patients, J. Child Neurol., 2004, 19, 275–281 http://dx.doi.org/10.1177/08830738040190040710.1177/088307380401900407Search in Google Scholar

[9] Casanova M.F., Christensen J.D., Giedd J., Rumsey J.M., Garver D.L., Postel G.C., Magnetic resonance imaging study of brain asymmetries in dyslexic patients, J. Child Neurol., 2005, 20, 842–847 http://dx.doi.org/10.1177/0883073805020010140110.1177/08830738050200101401Search in Google Scholar

[10] Casanova M.F., El-Baz A.S., Giedd J., Rumsey J.M., Switala A.E., Increased white matter gyral depth in dyslexia: implications for corticocortical connectivity, J. Autism Dev. Disord., 2009, in press 10.1007/s10803-009-0817-1Search in Google Scholar

[11] Casanova M.F., Sanders R.D., Goldberg T.E., Bigelow L.B., Christison G., Torrey E.F., et al., Morphometry of the corpus callosum in monozygotic twins discordant for schizophrenia: a magnetic resonance imaging study, J. Neurol. Neurosurg. Psychiatry, 1990, 53, 416–421 http://dx.doi.org/10.1136/jnnp.53.5.41610.1136/jnnp.53.5.416Search in Google Scholar

[12] Di Donato M., Dabic P., Castelvecchio S., Santambrogio C., Brankovic J., Collarini L., et al., Left ventricular geometry in normal and post-anterior myocardial infarction patients: sphericity index and ‘new’ conicity index comparisons, Eur. J. Cardiothorac. Surg., 2006, 29, S225–S230 http://dx.doi.org/10.1016/j.ejcts.2006.03.00210.1016/j.ejcts.2006.03.002Search in Google Scholar

[13] Sabo E., Beck A.H., Montgomery E.A., Bhattacharya B., Meitner P., Wang J.Y., et al., Computerized morphometry as an aid in determining the grade of dysplasia and progression to adenocarcinoma in Barrett’s esophagus, Lab. Invest., 2006, 86, 1261–1271 http://dx.doi.org/10.1038/labinvest.370048110.1038/labinvest.3700481Search in Google Scholar

[14] Casanova M.F., Zito M., Goldberg T.E., Torrey E.F., Bigelow L.B., Sanders R.D., et al., Corpus callosum curvature in schizophrenic twins, Biol. Psychiatry, 1990, 28, 83–84 http://dx.doi.org/10.1016/0006-3223(90)90436-610.1016/0006-3223(90)90436-6Search in Google Scholar

[15] Armstrong E., Curtis M., Buxhoeveden D.P., Fregoe C., Zilles K., Casanova M.F., et al., Cortical gyrification in the rhesus monkey: a test of the mechanical folding hypothesis, Cereb. Cortex, 1991, 1, 426–432 http://dx.doi.org/10.1093/cercor/1.5.42610.1093/cercor/1.5.426Search in Google Scholar

[16] Casanova M.F., Daniel D.G., Goldberg T.E., Suddath R.L., Weinberger D.R., Shape analysis of the middle cranial fossa of schizophrenic patients: a computerized tomographic study, Schizophr. Res., 1989, 2, 333–338 http://dx.doi.org/10.1016/0920-9964(89)90024-810.1016/0920-9964(89)90024-8Search in Google Scholar

[17] Casanova M.F., Goldberg T.E., Suddath R.L., Daniel D.G., Rawlings R., Lloyd D.G., et al., Quantitative shape analysis of the temporal and prefrontal lobes in schizophrenic patients: a magnetic resonance image study, J. Neuropsychiatry Clin. Neurosci., 1990, 2, 363–372 10.1176/jnp.2.4.363Search in Google Scholar

[18] Wang B., Shi C., A novel Fourier descriptor for shape retrieval, Fuzzy systems and knowledge discovery, Springer, New York, 2006, 822–825 10.1007/11881599_101Search in Google Scholar

[19] Qiu A., Crocetti D., Adler M., Mahone E.M., Denckla M.B., Miller M.I., et al., Basal ganglia volume and shape in children with attention deficit hyperactivity disorder, Am. J. Psychiatry, 2009, 166, 74–82 http://dx.doi.org/10.1176/appi.ajp.2008.0803042610.1176/appi.ajp.2008.08030426Search in Google Scholar

[20] Casanova M.F., El-Baz A.S., Mott M., Mannheim G.B., Hassan H., Fahmi R., et al., Reduced gyral window and corpus callosum size in autism: possible macroscopic correlates of a minicolumnopathy, J. Autism Dev. Disord., 2009, 39, 751–764 http://dx.doi.org/10.1007/s10803-008-0681-410.1007/s10803-008-0681-4Search in Google Scholar

[21] Bitter I., Kaufman A.E., Sato M., Penalized-distance volumetric skeleton algorithm, IEEE Trans. Vis. Comput. Graph., 2001, 7, 195–206 http://dx.doi.org/10.1109/2945.94268810.1109/2945.942688Search in Google Scholar

[22] Gagvani N., Silver D., Parameter-controlled volume thinning, Graph. Models Image Process., 1999, 61, 149–164 http://dx.doi.org/10.1006/gmip.1999.049510.1006/gmip.1999.0495Search in Google Scholar

[23] Zhou Y., Toga A.W., Efficient skeletonization of volumetric objects, IEEE Trans. Vis. Comput. Graph., 1999, 5, 196–209 http://dx.doi.org/10.1109/2945.79521210.1109/2945.795212Search in Google Scholar

[24] Tsao Y.F., Fu K.S., A parallel thinning algorithm for 3-D pictures, Computer Graphics and Image Processing, 1981, 17, 315–331 http://dx.doi.org/10.1016/0146-664X(81)90011-310.1016/0146-664X(81)90011-3Search in Google Scholar

[25] Ma C.M., A 3D fully parallel thinning algorithm for generating medial faces, Pattern Recognition Letters, 1995, 16, 83–87 http://dx.doi.org/10.1016/0167-8655(94)00063-910.1016/0167-8655(94)00063-9Search in Google Scholar

[26] Ma C.M., Sonka M., A fully parallel 3D thinning algorithm and its applications, Computer Vision and Image Understanding, 1996, 64, 420–433 http://dx.doi.org/10.1006/cviu.1996.006910.1006/cviu.1996.0069Search in Google Scholar

[27] Svensson S., Nyström I., Sanniti di Baja G., Curve skeletonization of surface-like objects in 3D images guided by voxel classification, Pattern Recognition Letters, 2002, 23, 1419–1426 http://dx.doi.org/10.1016/S0167-8655(02)00102-210.1016/S0167-8655(02)00102-2Search in Google Scholar

[28] Ge Y., Stelts D.R., Wang J., Vining D.J., Computing the centerline of a colon: a robust and efficient method based on 3D skeletons, J. Comput. Assist. Tomogr., 1999, 23, 786–794 http://dx.doi.org/10.1097/00004728-199909000-0002910.1097/00004728-199909000-00029Search in Google Scholar

[29] Deschamps T., Cohen L.D., Fast extraction of minimal paths in 3D images and applications to virtual endoscopy, Med. Image Anal., 2001, 5, 281–299 http://dx.doi.org/10.1016/S1361-8415(01)00046-910.1016/S1361-8415(01)00046-9Search in Google Scholar

[30] Bouix S., Siddiqi K., Tannenbaum A., Flux driven fly throughs, in Computer Vision and Pattern Recognition. 2003, IEEE Computer Society. p. 449–454. Search in Google Scholar

[31] Attali D., Montanvert A., Computing and simplifying 2D and 3D continuous skeletons, Computer Vision and Image Understanding, 1997, 67, 261–273 http://dx.doi.org/10.1006/cviu.1997.053610.1006/cviu.1997.0536Search in Google Scholar

[32] Liu P.-C., Wu F.-C., Ma W.-C., Liang R.-H., Ouhyoung M., Automatic animation skeleton construction using repulsive force field, in Pacific Conference on Computer Graphics and Applications, J. Rokne, R. Klein, and W. Wang, Editors. 2003, IEEE. p. 409–413. Search in Google Scholar

[33] Hynd G.W., Hall J., Novey E.S., Eliopulos D., Black K., Gonzalez J.J., et al., Dyslexia and corpus callosum morphology, Arch. Neurol., 1995, 52, 32–38 10.1001/archneur.1995.00540250036010Search in Google Scholar

[34] Rumsey J.M., Casanova M.F., Mannheim G.B., Patronas N., DeVaughn N., Hamburger S.D., et al., Corpus callosum morphology, as measured with MRI, in dyslexic men, Biol. Psychiatry, 1996, 39, 769–775 http://dx.doi.org/10.1016/0006-3223(95)00225-110.1016/0006-3223(95)00225-1Search in Google Scholar

[35] Viola P., Wells W.M., III, Alignment by maximization of mutual information, Proceedings of the International Conference on Computer Vision, 1995, 5, 20–23 Search in Google Scholar

[36] Hassouna M.S., Farag A.A., Variational curve skeletons using gradient vector flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31, 2257–2274 http://dx.doi.org/10.1109/TPAMI.2008.27110.1109/TPAMI.2008.271Search in Google Scholar PubMed

[37] Tsai A., Yezzi A., Jr., Wells W., Tempany C., Tucker D., Fan A., et al., A shape-based approach to the segmentation of medical imagery using level sets, IEEE Trans. Med. Imaging, 2003, 22, 137–154 http://dx.doi.org/10.1109/TMI.2002.80835510.1109/TMI.2002.808355Search in Google Scholar PubMed

[38] Cootes T.F., Taylor C.J., A mixture model for representing shape variation, Image and Vision Computing, 1999, 17, 567–573 http://dx.doi.org/10.1016/S0262-8856(98)00175-910.1016/S0262-8856(98)00175-9Search in Google Scholar

[39] Benjamini Y., Hochberg Y., Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Stat. Soc. B, 1995, 57, 289–300 10.1111/j.2517-6161.1995.tb02031.xSearch in Google Scholar

[40] Casanova M.F., Buxhoeveden D.P., Cohen M., Switala A.E., Roy E., Minicolumnar pathology in dyslexia, Ann. Neurol., 2002, 52, 108–110 http://dx.doi.org/10.1002/ana.1022610.1002/ana.10226Search in Google Scholar

[41] El-Zehiry N.Y., Casanova M.F., Hassan H., Farag A.A. Effect of minicolumnar disturbance on dyslexic brains: an MRI study. in Biomedical imaging: Macro to nano. 2006: IEEE. Search in Google Scholar

[42] Abd El Munim H., Fahmi R., El-Zehiry N.Y., Farag A.A., Casanova M.F., Volumetric MRI analysis of dyslexic subjects using a level-set framework, In: J.S. Suri and A.A. Farag, (Eds.), Deformable models: Theory and biomaterial applications, Springer, New York, 2007, 461–492 Search in Google Scholar

[43] Von Plessen K., Lundervold A., Duta N., Heiervang E., Klauschen F., Smievoll A.I., et al., Less developed corpus callosum in dyslexic subjects: a structural MRI study, Neuropsychologia, 2002, 40, 1035–1044 http://dx.doi.org/10.1016/S0028-3932(01)00143-910.1016/S0028-3932(01)00143-9Search in Google Scholar

[44] Robichon F., Habib M., Abnormal callosal morphology in male adult dyslexics: relationships to handedness and phonological abilities, Brain Lang., 1998, 62, 127–146 http://dx.doi.org/10.1006/brln.1997.189110.1006/brln.1997.1891Search in Google Scholar PubMed

[45] Habib M., The neurological basis of developmental dyslexia: an overview and working hypothesis, Brain, 2000, 123, 2373–2399 http://dx.doi.org/10.1093/brain/123.12.237310.1093/brain/123.12.2373Search in Google Scholar PubMed

[46] Robichon F., Bouchard P., Démonet J.-F., Habib M., Developmental dyslexia: re-evaluation of the corpus callosum in male adults, Eur. Neurol., 2000, 43, 233–237 http://dx.doi.org/10.1159/00000818210.1159/000008182Search in Google Scholar PubMed

[47] Duara R., Kushch A., Gross-Glenn K., Barker W.W., Jallad B., Pascal S., et al., Neuroanatomic differences between dyslexic and normal readers on magnetic resonance imaging scans, Arch. Neurol., 1991, 48, 410–416 10.1001/archneur.1991.00530160078018Search in Google Scholar PubMed

[48] Cowell P.E., Jernigan T.L., Denenberg V.H., Tallal P., Language and learning impairment and prenatal risk: An MRI study of the corpus callosum and cerebral volume, J. Med. Speech-Lang. Pathol., 1995, 3, 1–13 Search in Google Scholar

[49] Pennington B.F., Filipek P.A., Lefly D., Churchwell J., Kennedy D.N., Simon J.H., et al., Brain morphometry in reading-disabled twins, Neurology, 1999, 53, 723–729 10.1212/WNL.53.4.723Search in Google Scholar PubMed