Genetic contributions to the midsagittal area of the corpus callosum

Twin Research and Human Genetics

Volumn 15, Issue 3, 2012, Pages 315-323

  Phillips, Kimberley A ^a,b,c   Rogers, Jeffrey ^d   Barrett, Elizabeth A ^a   Glahn, David C ^e   Kochunov, Peter ^b,f,g  

^a TRINITY UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^c SOUTHWEST FOUNDATION FOR BIOMEDICAL RESEARCH   (United States)

^d BAYLOR COLLEGE OF MEDICINE   (United States)

^e YALE UNIVERSITY   (United States)

^f UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

^g UNIVERSITY OF MARYLAND   (United States)

Author keywords

Baboons; Corpus callosum; Genetics; Heritability; Imaging

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; BABOON; BRAIN DEVELOPMENT; BRAIN SIZE; CONTROLLED STUDY; CORPUS CALLOSUM; FEMALE; FETUS DEVELOPMENT; GENETIC ANALYSIS; GENETIC CORRELATION; GENETIC VARIABILITY; HERITABILITY; IMAGE PROCESSING; MALE; MORPHOMETRICS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PEDIGREE; POSTNATAL GROWTH; PRIORITY JOURNAL;

ANIMALS; CORPUS CALLOSUM; FEMALE; GENE-ENVIRONMENT INTERACTION; MAGNETIC RESONANCE IMAGING; MALE; ORGAN SIZE; PAPIO; QUANTITATIVE TRAIT, HERITABLE;

PAPIO;

EID: 84871382601     PISSN: 18324274     EISSN: None     Source Type: Journal    
DOI: 10.1017/thg.2012.10     Document Type: Article

References (56)

1. Aboitiz, F., Scheibel, A. B., Fisher, R. S., & Zaidel, E. (1992). Fiber composition of the human corpus callosum. Brain Research, 598, 143-153.
2. Alexander, A. L., Lee, J. E., Lazar,M., Boudos, R., Dubray,M. B., Oakes, T. R.,Miller, J. N., Lu, J., Jeong, E.K., McMahon, W. M., Bigler, E. D., & Lainhart, J. E. (2007). Diffusion tensor imaging of the corpus callosum in autism. NeuroImage, 34, 61-73.
3. Almasy, L., & Blangero, J. (1998).Multipoint quantitative-trait linkage analysis in general pedigrees. American Journal of Human Genetics, 62, 1198-1211.
4. Almasy, L., Dyer, T. D., & Blangero, J. (1997). Bivariate quantitative-trait linkage analysis: Pleiotropy versus co-incident linkages. Genetic Epidemiology, 14, 953-958.
5. Amos,C. I. (1994). Robust variance-components approach for assessing genetic linkage in pedigrees. American Journal of Human Genetics, 54, 535-543.
6. Biegon, A., Eberling, J. L., Richardson, B. C., Roos, M. S., Wong, S. T. S., Reed, B. R., & Jagust, W. J. (1994). Human corpus callosum in aging and Alzheimer's disease: A magnetic resonance imaging study. Neurobiology of Aging, 15, 393-397.
7. Blangero, J.,Williams, J. T., & Almasy, L. (2001).Variance component methods for detecting complex trait loci. Advances in Genetics, 42, 151-181.
8. Bonzano, L., Tacchino, A., Roccatagliata, L., Abbruzzese, G., Mancardi, G. L., & Bove, M. (2008). Callosal contributions to simultaneous bimanual finger movements. The Journal of Neuroscience, 28, 3227-3233.
9. Brouwer, R. M., Mandl, R. C. W., Peper, J. S., van Baal, G. C. M., Kahn, R. S., Boomsma, D. I., & Hulshoff Pol, H. E. (2010). Heritability of DTI and MTR in nine-year-old children. NeuroImage, 53, 1085-1092.
10. Brun, C., Lepore, N., Pennec, X., Chou, Y. Y., Lee, A. D., Barysheva, M., de Zubicaray, G., Meredith, M., McMahon, K., Wright, M. J., Toga, A. W., & Thompson, P. M. (2008). A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method. Medical Image Computing and Computer Assisted Intervention International Conference on Medical Image Computing and Computer Assisted Intervention, 11, 914-921.
11. Cheverud, J. M., Falk, D., Vannier, M., Konigsberg, L., Helmkamp, R. C., & Hildebolt, C. (1990). Heritability of brain size and surface features in rhesusmacaques (Macaca mulatta). Journal of Heredity, 81, 51-57.
12. Chiang, M. C.,Barysheva,M., Lee, A. D.,Madsen, S.,Klunder, A. D., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Meredith, M., Wright, M. J., Srivastava, A., Balov, N., & Thompson, P. M. (2008). Brain fiber architecture, genetics, and intelligence: A high angular resolution diffusion imaging (HARDI) study. Medical Image Computing and Computer Assisted Intervention International Conference on Medical Image Computing and Computer Assisted Intervention, 11, 1060-1067.
13. Chiang,M. C., McMahon, K.L., deZubicaray, G. I.,Martin,N. G.,Hickie, I., Toga,A.W.,Wright,M. J., & Thompson, P.M. (2011). Genetics of white matter development: ADTI study of 705 twins and their siblings aged 12 to 29. Neuroimage, 54, 2308-2317.
14. Deichmann, R.,Good,C., Josephs,O.,Ashburner, J., & Turner, R. (2000). Optimization of 3-D MP-RAGE sequences for structural brain imaging. Neuroimage, 12, 112-127.
15. Di Rocco, M., Biancheri, R., Rossi, A., Filocamo, M., & Torotori-Donati, P. (2004). Genetic disorders affecting whitematter in the pediatric age. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 129B, 85-93.
16. Fears, S., Melega,W. P., Service, S. K., Lee,C., Chen,K., Tu,Z., Jorgensen,M. J., Fairbanks, L. A., Cantor, R. M., Freimer, N. B., & Woods, R. P. (2009). Identifying heritable brain phenotypes in an extended pedigree of vervet monkeys. Journal of Neuroscience, 29, 2867-2875.
17. Hofer, S., & Frahm, J. (2006). Topography of the human corpus callosum revisited - Comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. NeuroImage, 32, 989-994.
18. Hulshoff Pol,H. E., Schnack, H. G., Posthuma, D.,Mandl, R. C., Baare,W. F., van Oel, C., vanHaren, N. E., Collins,D. L., Evans, A. C., Amunts, K., Burgel, U., Zilles, K., de Geus, E., Boomsma,D. I., & Kahn,R. S. (2006).Genetic contributions to human brain morphology and intelligence. Journal of Neuroscience, 26, 10235-10242.
19. Keller, M. C., Medland, S. E., & Duncan, L. E. (2010). Are extended twin family designs worth the trouble? A comparison of the bias, precision, and accuracy of parameters estimated in four twin familymodels. Behavior Genetics, 40, 377-393.
20. Kochunov, P., Castro, C., Davis, D., Dudley, D., Brewer, J., Zhang,Y.,Kroenke,C.D.,Purdy,D.,Fox,P.T., Simerly,C., & Schatten, G. (2010a).Mapping primary gyrogenesis during fetal development in primate brains: High-resolution in utero structuralMRI of fetal brain development in pregnant baboons. Frontal Neuroscience, 4, 20.
21. Kochunov, P., & DuffDavis,M. (2009).Development of structural MR brain imaging protocols to study genetics and maturation. Methods, 50, 136-146.
22. Kochunov, P., Glahn, D., Fox, P. T., Lancaster, J. L., Saleem, K., Shelledy, W., Zilles, K., Thompson, P. M., Coulon, O., Mangin, J. F., Blangero, J., & Rogers, J. (2010b). Genetics of primary cerebral gyrification: Heritability of length, depth and area of primary sulci in an extended pedigree of Papio baboons. Neuroimage, 53, 1126-1134.
23. Kochunov, P., Glahn, D., Lancaster, J., Wincker, P., Smith, S., Thompson, P., Almasy, L., Duggirala, R., Fox, P. T., Blangero, J. (2010c). Genetics of microstructure of cerebral white matter using diffusion tensor imaging. Neuroimage, 15, 1109-1116.
24. Kochunov, P., Lancaster, J., Glahn, D. C., Purdy, D., Laird, A. R., Gao, F., & Fox, P. (2006). A retrospective motion correction protocol for high-resolution anatomical MRI. Human Brain Mapping, 27, 957-962.
25. Kochunov, P., Lancaster, J., Hardies, J., Thompson, P. M., Woods, R. P., Cody, J. D., Hale, D. E., Laird, A., & Fox, P. T. (2005). Mapping structural differences of the corpus callosum in individuals with 18q deletions using targetless regional spatial normalization. Human Brain Mapping, 24, 325-331.
26. Kochunov, P.,Lancaster, J., Thompson,P., Toga,A.W., Brewer, P., Hardies, J., & Fox, P. (2002). An optimized individual target brain in the Talairach coordinate system. Neuroimage, 17, 922-927.
27. Konopka, G., Bomar, J.M.,Winden, K., Coppola, G., Jonsson, Z. O., Gao, F., Peng, S., Preuss, T. M.,Wohlschlegel, J. A., & Geschwind, D. H. (2009). Human-specific transcriptional regulation of CNS development genes by FOXP2. Nature, 462, 213-217.
28. Korgaonkar, A. K.,Grieve, S. M.,Koslow, S. H.,Gabrieli, J. D., Gordon, E., & Williams, L.W. (2011). Loss of white matter integrity inmajor depressive disorder: Evidence using tractbased spatial statistical analysis of diffusion tensor imaging. Human Brain Mapping, 32, 2161-2171.
29. Le Goualher, G., Argenti, A. M., Duyme, M., Baare, W. F., Hulshoff Pol, H. E., Boomsma, D. I., Zouaoui, A., Barillot, C., & Evans, A. C. (2000). Statistical sulcal shape comparisons: Application to the detection of genetic encoding of the central sulcus shape. Neuroimage, 11, 564-574.
30. Leigh, S. R. (2004). Brain growth, life history, and cognition in primate and human evolution. American Journal of Primatology, 62, 139-164.
31. Leigh, S. R., Shah, N. F., & Buchanan, L. S. (2003). Ontogeny and phylogeny in papionin primates. Journal of Human Evolution, 45, 285-316.
32. Lenroot, R. K., & Giedd, J. N. (2008). The changing impact of genes and environment on brain development during childhood and adolescence: Initial findings froma neuroimaging study of pediatric twins. Developmenal Psychopathology, 20, 1161-1175.
33. Lohmann, G., von Cramon, D. Y., & Colchester, A. C. (2008). Deep sulcal landmarks provide an organizing framework for human cortical folding. Cerebral Cortex, 18, 1415-1420.
34. Lohmann, G., von Cramon, D. Y., & Steinmetz, H. (1999). Sulcal variability of twins. Cerebral Cortex, 9, 754-763.
35. Lyn, H., Pierre, P., Bennett, A. J., Fears, S.,Woods, R., & Hopkins, W. D. (2011). Planum temporale gray matter asymmetries in chimpanzees (Pan troglodytes), vervet (Chlorocebus aethiops sabaeus), rhesus (Macaca mulatta), and bonnet (Macaca radiata)monkeys.Neuropsychologia, 49, 2004-2012.
36. Oler, J. A., Fox, A. S., Shelton, S. E., Rogers, J., Dyer, T. D., Davidson, R. J., Shelledy, W., Oakes, T. R., Blangero, J., & Kalin, N. H. (2010).Amygdalar and hippocampal substrates of anxious temperament differ in their heritability. Nature, 466, 864-868.
37. Pennington, B. F., Filipek, P. A., Lefly, D., Chhabildas, N., Kennedy, D. N., Simon, J. H., Filley, C. M., Galaburda, A., & DeFries, J. C. (2000). A twin MRI study of size variations in the human brain. Journal of Cognitive Neuroscience, 12, 223-232.
38. Peper, J. S., Brouwer, R. M., Boomsma, D. I., Kahn, R. S., & Hulshoff Pol, H. E. (2007). Genetic influences on human brain structure: A review of brain imaging studies in twins. Human Brain Mapping, 28, 464-473.
39. Pfefferbaum, A., Sullivan, E. V., Swan, G. E., & Carmella, D. (2000). Brain structure in men remains highly heritable in the seventh and eighth decades of life. Neurobiology of Aging, 21, 63-74.
40. Phillips, K., & Kochunov, P. (2011). Tracking development of the corpus callosum in fetal and early postnatal baboons using magnetic resonance imaging. The Open Neuro imaging Journal, 5, 179-185.
41. Phillips, K. A., Sherwood, C. C., & Lilak, A. L. (2007). Corpus callosum morphology in capuchin monkeys is influenced by sex and handedness. PLoS ONE, 2, 1-7.
42. Pierre, P. J.,Hopkins,W.D., Taglialatela, J.P., Lees,C. J., & Bennett, A. J. (2008). Age-related neuroanatomical differences from the juvenile period to adulthood in mother-reared macaques (Macaca radiata). Brain Research, 126, 56-60.
43. Posthuma, D., de Geus, E. J., Baare, W. F., Hulshoff Pol, H. E., Kahn, R. S., & Boomsma, D. I. (2002). The association between brain volume and intelligence is of genetic origin.Nature Neuroscience, 5, 83-84.
44. Raff, M. (1996). Neural development: Mysterious no more? Science, 274, 1063.
45. Rogers, J., Kochunov, P., Lancaster, J., Shelledy, W., Glahn, D., Blangero, J., & Fox, P. (2007). Heritability of brain volume, surface area, and shape: An MRI study in an extended pedigree of baboons. Human Brain Mapping, 28, 576-583.
46. Rogers, J., Kochunov, P., Zilles, K., Shelledy, W., Lancaster, J., Thompson, P., Duggirala, R., Blangero, J., Fox, P. T., & Glahn, D. C. (2010). On the genetic architecture of cortical folding and brain volume in primates. Neuroimage, 53, 1103-1108.
47. Sanchez, M. M.,Hearn, E. F., Do, D., Rilling, J. K., & Herndon, J. G. (1998).Differential rearing affects corpus callosum size and cognitive function of rhesus monkeys. Brain Research, 812, 38-49.
48. Scamvougeras, A., Kigar, D. L., Jones, D., Weinberger, D. R., & Witelson, S. F. (2003). Size of the human corpus callosum is genetically determined: An MRI study inmono and dizygotic twins. Neuroscience Letters, 338, 91-94.
49. Semendeferi, K., Lu, A., Schenker, N., & Damasio, H. (2002). Humans and great apes share a large frontal cortex. Nature Neuroscience, 5, 272-276.
50. Sherwood, C. C.,Raghanti,M. A.,Stimpson, C.D.,Spocter,M. A., Uddin,M., Boddy, A. M.,Wildman,D. E., Bonar, C. J., Lewandowski, A. H., Phillips, K. A., Erwin, J. M., & Hof, P. R. (2010). Inhibitory interneurons of the human prefrontal cortex display conserved evolution of the phenotype and related genes. Proceedings of the Royal Society B, 277, 1011-1020.
51. Smith, S., Jenkinson, M., Woolrich, M., Beckmann, C., Behrens, T., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., & Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23, 208-219.
52. Smith, S M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17, 143-155.
53. Thompson, P., Cannon, T. D., Narr, K. L., van Erp, T., Poutanen, V.-P., Huttunen, M., Lönnqvist, J., Standertskj öld-Nordenstam, C. G., Kaprio, J., Khaledy, M., Dail, R., Zoumalan, C. I., & Toga, A. W. (2001). Genetic influences on brain structure. Nature Neuroscience, 4, 1253-1258.
54. Toga, A. W., & Thompson, P. (2005). Genetics of brain structure and intelligence. Annual Review of Neuroscience, 28, 1-23.
55. Wang, Q., Deng, W., Huang, C., Li, M., Ma, X., Wang, Y. et al. (2011). Abnormalities in connectivity of white-matter tracts in patientswith familial and non-familial schizophrenia. Psychological Medicine, 41, 1691-1700.
56. Zahr, N. M., Rohlfing, T., Pfefferbaum, A., & Sullivan, E. V. (2009). Problem solving, workingmemory, andmotor correlates of association and commissural fiber bundles in normal aging: A quantitative fiber tracking study. Neuroimage, 44, 1050-1062.