Investigating brain connectivity heritability in a twin study using diffusion imaging data

NeuroImage

Volumn 100, Issue , 2014, Pages 628-641

  Shen, Kai Kai ^a   Rose, Stephen ^a   Fripp, Jurgen ^a   McMahon, Katie L ^b   de Zubicaray, Greig I ^b   Martin, Nicholas G ^c   Thompson, Paul M ^d   Wright, Margaret J ^c   Salvado, Olivier ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ARTICLE; COHORT ANALYSIS; CONNECTOME; DIFFUSION WEIGHTED IMAGING; DIZYGOTIC TWINS; FEMALE; FRACTIONAL ANISOTROPY; FRONTAL CORTEX; HERITABILITY; HIGH ANGULAR RESOLUTION DIFFUSION IMAGING; HIPPOCAMPUS; HUMAN; MALE; MONOZYGOTIC TWINS; NERVE FIBER; NEUROANATOMY; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PARACENTRAL GYRUS; POSTCENTRAL GYRUS; PRIORITY JOURNAL; PYRAMIDAL TRACT; RIGHT HEMISPHERE; TEST RETEST RELIABILITY; TWINS; WHITE MATTER; BRAIN CORTEX; DIFFUSION TENSOR IMAGING; GENETICS; MYELINATED NERVE; NERVE CELL NETWORK; NERVE TRACT; PHYSIOLOGY; PROCEDURES; YOUNG ADULT;

ADULT; CEREBRAL CORTEX; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; MALE; NERVE FIBERS, MYELINATED; NERVE NET; NEURAL PATHWAYS; TWINS; WHITE MATTER; YOUNG ADULT;

EID: 84904439414     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.06.041     Document Type: Article

References (102)

1. Annett M. A classification of hand preference by association analysis. Br. J. Psychol. 1970, 61:303-321.
2. Avants B.B., Tustison N.J., Song G., Cook P.A., Klein A., Gee J.C. A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage 2011, 54:2033-2044.
3. Bartko J.J. On various intraclass correlation reliability coefficients. Psychol. Bull. 1976, 83:762-765.
4. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Methodol. 1995, 57:289-300.
5. Besseling R.M.H., Jansen J.F.A., Overvliet G.M., Vaessen M.J., Braakman H.M.H., Hofman P.A.M., Aldenkamp A.P., Backes W.H. Tract specific reproducibility of tractography based morphology and diffusion metrics. PLoS ONE 2012, 7:e34125.
6. Bisdas S., Bohning De, Bešenski N., Nicholas J.S., Rumboldt Z. Reproducibility, interrater agreement, and age-related changes of fractional anisotropy measures at 3T in healthy subjects: effect of the applied b-value. Am. J. Neuroradiol. 2008, 29:1128-1133.
7. Boker S., Neale M., Maes H., Wilde M., Spiegel M., Brick T., Spies J., Estabrook R., Kenny S., Bates T., Mehta P., Fox J. OpenMx: an open source extended structural equation modeling framework. Psychometrika 2011, 76:306-317.
8. Bonekamp D., Nagae L.M., Degaonkar M., Matson M., Abdalla W.M.A., Barker P.B., Mori S., Horská A. Diffusion tensor imaging in children and adolescents: reproducibility, hemispheric, and age-related differences. NeuroImage 2007, 34:733-742.
9. Braskie M.N., Jahanshad N., Stein J.L., Barysheva M., McMahon K.L., de Zubicaray G.I., Martin N.G., Wright M.J., Ringman J.M., Toga A.W., Thompson P.M. Common Alzheimer's Disease Risk Variant Within the CLU Gene Affects White Matter Microstructure in Young Adults. J. Neurosci. 2011, 31:6764-6770.
10. 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. Heritability of DTI and MTR in nine-year-old children. NeuroImage 2010, 53:1085-1092.
11. Cannon T.D., van Erp T.G.M., Huttunen M., Lönnqvist J., Salonen O., Valanne L., Poutanen V.-P., Standertskjöld-Nordenstam C.-G., Gur R.E., Yan M. REgional gray matter, white matter, and cerebrospinal fluid distributions in schizophrenic patients, their siblings, and controls. Arch Gen Psychiatry 1998, 55:1084-1091.
12. Cannon T.D., Thompson P.M., van Erp T.G.M., Toga A.W., Poutanen V.-P., Huttunen M., Lonnqvist J., Standerskjold-Nordenstam C.-G., Narr K.L., Khaledy M., Zoumalan C.I., Dail R., Kaprio J. Cortex mapping reveals regionally specific patterns of genetic and disease-specific gray-matter deficits in twins discordant for schizophrenia. PNAS 2002, 99(2002):3228-3233.
13. Cascio C.J., Gerig G., Piven J. Diffusion tensor imaging: application to the study of the developing brain. J. Am. Acad. Child Adolesc. Psychiatry 2007, 46:213-223.
14. Chen X., Blokland G., Strike L., Nichols T. Voxel-wise and Cluster-based Heritability Inferences of fMRI Data 2013, Organization of Human Brain Mapping, Seattle, WA.
15. Chiang M.-C., Barysheva M., Shattuck D.W., Lee A.D., Madsen S.K., Avedissian C., Klunder A.D., Toga A.W., McMahon K.L., de Zubicaray G.I., Wright M.J., Srivastava A., Balov N., Thompson P.M. Genetics of brain fiber architecture and intellectual performance. J. Neurosci. 2009, 29:2212-2224.
16. Chiang M.-C., Barysheva M., Toga A.W., Medland S.E., Hansell N.K., James M.R., McMahon K.L., de Zubicaray G.I., Martin N.G., Wright M.J., Thompson P.M. BDNF gene effects on brain circuitry replicated in 455 twins. NeuroImage 2011, 55:448-454.
17. Chung M.K., Worsley K.J., Paus T., Cherif C., Collins D.L., Giedd J.N., Rapoport J.L., Evans A.C. A unified statistical approach to deformation-based morphometry. NeuroImage 2001, 14:595-606.
18. Ciccarelli O., Parker G.J., Toosy A.T., Wheeler-Kingshott C.A., Barker G.J., Boulby P.A., Miller D.H., Thompson A.J. From diffusion tractography to quantitative white matter tract measures: a reproducibility study. NeuroImage 2003, 18:348-359.
19. de Monasterio-Schrader P., Jahn O., Tenzer S., Wichert S.P., Patzig J., Werner H.B. Systematic approaches to central nervous system myelin. Cell. Mol. Life Sci. 2012, 69:2879-2894.
20. de Zubicaray G.I., Chiang M.-C., McMahon K.L., Shattuck D.W., Toga A.W., Martin N.G., Wright M.J., Thompson P.M. Meeting the challenges of neuroimaging genetics. Brain Imaging Behav. 2008, 2:258-263.
21. Espeseth T., Westlye L.T., Fjell A.M., Walhovd K.B., Rootwelt H., Reinvang I. Accelerated age-related cortical thinning in healthy carriers of apolipoprotein E e{open}4. Neurobiol. Aging 2008, 29:329-340.
22. Eyler L.T., Prom-Wormley E., Panizzon M.S., Kaup A.R., Fennema-Notestine C., Neale M.C., Jernigan T.L., Fischl B., Franz C.E., Lyons M.J., Grant M., Stevens A., Pacheco J., Perry M.E., Schmit JEt, Seidman L.J., Thermenos H.W., Tsuang M.T., Chen C.-H., Thompson W.K., Jak A., Dale A.M., Kremen W.S. Genetic and environmental contributions to regional cortical surface area in humans: a magnetic resonance imaging twin study. Cereb. Cortex 2011, 21:2313-2321.
23. Eyler L.T., Chen C.-H., Panizzon M.S., Fennema-Notestine C., Neale M.C., Jak A., Jernigan T.L., Fischl B., Franz C.E., Lyons M.J., Grant M., Prom-Wormley E., Seidman L.J., Tsuang M.T., Fiecas M.J.A., Dale A.M., Kremen W.S. A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study. Twin Research and Human Genetics 2012, 15:304-314.
24. Farrell J.A.D., Landman B.A., Jones C.K., Smith S.A., Prince J.L., van Zijl P.C.M., Mori S. Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. J. Magn. Reson. Imaging 2007, 26:756-767.
25. Fields R.D. White matter in learning, cognition and psychiatric disorders. Trends Neurosci. 2008, 31:361-370.
26. Fonov V., Evans A.C., Botteron K., Almli C.R., McKinstry R.C., Collins D.L. Unbiased average age-appropriate atlases for pediatric studies. NeuroImage 2011, 2011:313-327.
27. Geng X., Prom-Wormley E.C., Perez J., Kubarych T., Styner M., Lin W., Neale M.C., Gilmore J.H. White matter heritability using diffusion tensor imaging in neonatal brains. Twin Res. Hum. Genet. 2012, 15:336-350.
28. Giannelli M., Cosottini M., Michelassi M.C., Lazzarotti G., Belmonte G., Bartolozzi C., Lazzeri M. Dependence of brain DTI maps of Fractional Anisotropy and Mean Diffusivity on the number of diffusion weighting directions. J. Appl. Clin. Med. Phys. 2010, 11:176-190.
29. Giedd J.N., Blumenthal J., Jeffries N.O., Rajapakse J.C., Vaituzis A.C., Liu H., Berry Y.C., Tobin M., Nelson J., Castellanos F.X. Development of the human corpus callosum during childhood and adolescence: a longitudinal MRI study. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 1999, 23:571-588.
30. Giorgio A., Watkins K.E., Chadwick M., James S., Winmill L., Douaud G., De Stefano N., Matthews P.M., Smith S.M., Johansen-Berg H., James A.C. Longitudinal changes in grey and white matter during adolescence. NeuroImage 2010, 49:94-103.
31. Gogtay N., Giedd J.N., Lusk L., Hayashi K.M., Greenstein D., Vaituzis A.C., Nugent Tf, Herman D.H., Clasen L.S., Toga A.W., Rapoport J.L., Thompson P.M. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. 2004, 101:8174-8179.
32. Grimes L.W., Harvey W.R. Estimation of genetic variances and covariances using symmetric differences squared. J. Anim. Sci. 1980, 50:634-644.
33. Hakulinen U., Brander A., Ryymin P., Öhman J., Soimakallio S., Helminen M., Dastidar P., Eskola H. Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain. BMC Med. Imaging 2012, 12:30.
34. Heiervang E., Behrens T.E.J., Mackay C.E., Robson M.D., Johansen-Berg H. Between session reproducibility and between subject variability of diffusion MR and tractography measures. NeuroImage 2006, 33:867-877.
35. Heise V., Filippini N., Ebmeier K.P., Mackay C.E. The APOE ε4 allele modulates brain white matter integrity in healthy adults. Mol. Psychiatry 2011, 16:908-916.
36. Hua K., Zhang J., Wakana S., Jiang H., Li X., Reich D.S., Calabresi P.A., Pekar J.J., van Zijl P.C.M., Mori S. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage 2008, 39:336-347.
37. Huang L., Wang X., Baliki M.N., Wang L., Apkarian A.V., Parrish T.B. Reproducibility of structural, resting-state BOLD and DTI data between identical scanners. PLoS ONE 2012, 7:e47684.
38. Hulshoff Pol H.E., Schnack H.G., Posthuma D., Mandl R.C.W., Baaré W.F., van Oel C., van Haren N.E., Collins D.L., Evans A.C., Amunts K., Bürgel U., Zilles K., de Geus E., Boomsma D.I., Kahn R.S. Genetic contributions to human brain morphology and intelligence. J. Neurosci. 2006, 26:10235-10242.
39. Jahanshad N., Lee A.D., Barysheva M., McMahon K.L., de Zubicaray G.I., Martin N.G., Wright M.J., Toga A.W., Thompson P.M. Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings. NeuroImage 2010, 52:455-469.
40. Jahanshad N., Kohannim O., Toga A.W., McMahon K.L., de Zubicaray G.I., Hansell N.K., Montgomery G.W., Martin N.G., Wright M.J., Thompson P.M. Diffusion imaging protocol effects on genetic associations. IEEE International Symposium on Biomedical Imaging 2012, 944-947.
41. Jahanshad N., Kochunov P.V., Sprooten E., Mandl R.C., Nichols T.E., Almasy L., Blangero J., Brouwer R.M., Curran J.E., de Zubicaray G.I., Duggirala R., Fox P.T., Hong L.E., Landman B.A., Martin N.G., McMahon K.L., Medland S.E., Mitchell M.D., Olvera R.L., Peterson C.P., Starr J.M., Sussmann J.E., Toga A.W., Wardlaw J.M., Wright M.J., Hulshoff Pol H.E., Bastin M.E., McIntosh A.M., Deary I.J., Thompson P.M., Glahn D.C. Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group. NeuroImage 2013, 81:455-469.
42. Jansen J.F.A., Kooi M.E., Kessels A.G.H., Nicolay K., Backes W.H. Reproducibility of quantitative cerebral T2 relaxometry, diffusion tensor imaging, and 1H magnetic resonance spectroscopy at 3.0 Tesla. Investig. Radiol. 2007, 42:327-337.
43. Jeurissen B., Leemans A., Tournier J.-D., Jones D.K., Sijbers J. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Hum. Brain Mapp. 2013, 34:2747-2766.
44. Jones D.K. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn. Reson. Med. 2004, 51:807-815.
45. Jones D.K., Horsfield M.A., Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn. Reson. Med. 1999, 42:515-525.
46. Joshi A.A., Leporé N., Joshi S.H., Lee A.D., Barysheva M., Stein J.L., McMahon K.L., Johnson K., de Zubicaray G.I., Martin N.G., Wright M.J., Toga A.W., Thompson P.M. The contribution of genes to cortical thickness and volume. NeuroReport 2011, 22:101-105.
47. Kanchibhotla S.C., Mather K.A., Wen W., Schofield P.R., Kwok J.B.J., Sachdev P.S. Genetics of ageing-related changes in brain white matter integrity-a review. Ageing Res. Rev. 2013, 12:391-401.
48. Karlsgodt K.H., Kochunov P., Winkler A.M., Laird A.R., Almasy L., Duggirala R., Olvera R.L., Fox P.T., Blangero J., Glahn D.C. A multimodal assessment of the genetic control over working memory. J. Neurosci. 2010, 30:8197-8202.
49. Kennedy K.M., Rodrigue K.M., Land S.J., Raz N. BDNF Val66Met polymorphism influences age differences in microstructure of the corpus callosum. Front. Hum. Neurosci. 2009, 3:19.
50. Kittler J., Illingworth J. Minimum error thresholding. Pattern Recogn. 1986, 19:41-47.
51. Kochunov O., Glahn D.C., Lancaster J.L., Winkler A.M., Smith S., Thompson P.M., Almasy L., Duggirala R., Fox P.T., Blangero J. Genetics of microstructure of cerebral white matter using diffusion tensor imaging. NeuroImage 2010, 53:1109-1116.
52. Landman B.A., Farrell J.A.D., Jones C.K., Smith S.A., Prince J.L., Mori S. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. NeuroImage 2007, 36:1123-1138.
53. Lawson C.L., Hanson R.J. Solving Least Squares Problems 1995, SIAM, Philadelphia.
54. Leemans A., Jones D.K. The B-matrix must be rotated when correcting for subject motion in DTI data. Magn. Reson. Med. 2009, 61:1136-1349.
55. Lenroot R.K., Schmitt J.E., Ordaz S.J., Wallace G.L., Neale M.C., Lerch J.P., Kendler K.S., Evans A.C., Giedd J.N. Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence. Hum. Brain Mapp. 2009, 30:163-174.
56. Leow A.D., Zhu S., Zhan L., McMahon K., de Zubicaray G.I., Meredith M., Wright M.J., Toga A.W., Thompson P.M. The tensor distribution function. Magn. Reson. Med. 2009, 61:205-214.
57. Lin C.-P., Wedeen V.J., Chen J.-H., Yao C., Tseng W.-Y.I. Validation of diffusion spectrum magnetic resonance imaging with manganese-enhanced rat optic tracts and ex vivo phantoms. NeuroImage 2003, 19:482-495.
58. Luders E., Thompson P.M., Toga A.W. The development of the corpus callosum in the healthy human brain. J. Neurosci. 2010, 30:10985-10990.
59. Makris N., Goldstein J.M., Kennedy D., Hodge S.M., Caviness V.S., Faraone S.V., Tsuang M.T., Seidman L.J. Decreased volume of left and total anterior insular lobule in schizophrenia. Schizophr. Res. 2006, 83:155-171.
60. Markov V., Krug A., Krach S., Jansen A., Eggermann T., Zerres K., Stöcker T., Shah N.J., Nöthen M.M., Treutlein J., Rietschel M., Kircher T. Impact of schizophrenia-risk gene dysbindin 1 on brain activation in bilateral middle frontal gyrus during a working memory task in healthy individuals. Human Brain Mapping 2010, 31:266-275.
61. Martin J.H., Friel K.M., Salimi I., Chakrabarty S. Activity- and use-dependent plasticity of the developing corticospinal system. Neurosci. Biobehav. Rev. 2007, 31:1125-1135.
62. McLachlan G.J., Peel D. Finite Mixture Models 2000, Wiley, New York.
63. Mori S., Wakana S., van Zijl P.C.M., Nagae-Poetscher L.M. MRI Atlas of Human White Matter 2005, Elsevier, ISBN 0080456162.
64. Mueller S.G., Schuff N., Raptentsetsang S., Elman J., Weiner M.W. Selective effect of Apo e4 on CA3 and dentate in normal aging and Alzheimer's disease using high resolution MRI at 4T. NeuroImage 2008, 42:42-48.
65. Neale M.C., Boker S.M., Xie G., Maes H.H. Mx: Statistical Modeling 2006, Department of Psychiatry, VCU, Richmond, VA.
66. Panizzon M.S., Fennema-Notestine C., Eyler L.T., Jernigan T.L., Prom-Wormley E., Neale M., Jacobson K., Lyons M.J., Grant M.D., Franz C.E., Xian H., Tsuang M., Fischl B., Seidman L., Dale A., Kremen W.S. Distinct genetic influences on cortical surface area and cortical thickness. Cereb. Cortex 2009, 19:2728-2735.
67. Paul L.K. Developmental malformation of the corpus callosum: a review of typical callosal development and examples of developmental disorders with callosal involvement. J. Neurodev. Disord. 2011, 3:3-27.
68. Paul L.K., Brown W.S., Adolphs R., Tyszka J.M., Richards L.J., Mukherjee P., Sherr E.H. Agenesis of the corpus callosum: genetic, developmental and functional aspects of connectivity. Nat. Rev. Neurosci. 2007, 8:287-299.
69. Pfefferbaum A., Sullivan E.V., Carmelli D. Genetic regulation of regional microstructure of the corpus callosum in late life. Neuroreport 2001, 12:1677-1681.
70. Pfefferbaum A., Adalsteinsson E., Sullivan E.V. Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain. J. Magn. Reson. Imaging 2003, 18:427-433.
71. Pujol J., Vendrell P., Junqué C., Martí-Vilalta J.L., Capdevila A. When does human brain development end? Evidence of corpus callosum growth up to adulthood. Ann. Neurol. 1993, 34:71-75.
72. Raffelt D., Tournier J.-D., Fripp J., Crozier S., Connelly A., Salvado O. Symmetric diffeomorphic registration of fiber orientation distributions. NeuroImage 2011, 56:1171-1180.
73. Raffelt D., Tournier J.-D., Rose S., Ridgway G.R., Henderson R., Crozier S., Salvado O., Connelly A. Apparent fibre density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage 2012, 59:3976-3994.
74. Rajapakse J.C., Giedd J.N., Rumsey J.M., Vaituzis A.C., Hamburger S.D., Rapoport J.L. Regional MRI measurements of the corpus callosum: a methodological and developmental study. Brain Dev. 1996, 18:379-388.
75. Rohlfing T., Rademacher M.H., Pfefferbaum A. Volume reconstruction by inverse interpolation: application to interleaved MR motion correction. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2008 2008, 798-806.
76. Ryan L., Walther K., Bendlin B.B., Lue L.-F., Walker D.G., Glisky E.L. Age-related differences in white matter integrity and cognitive function are related to APOE status. NeuroImage 2011, 54:1565-1577.
77. Schmitt J.E., Lenroot R.K., Wallace G.L., Ordaz S., Taylor K.N., Kabani N., Greenstein D., Lerch J.P., Kendler K.S., Neale M.C., Giedd J.N. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb. Cortex 2008, 18:1737-1747.
78. Shrout P.E., Fleiss J.L. Intraclass correlations: uses in assessing rater reliability. Psychol. Bull. 1979, 86:420-428.
79. Sowell E.R., Thompson P.M., Tessner K.D., Toga A.W. Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation. J. Neurosci. 2001, 21:8819-8829.
80. Sullivan E.V., Pfefferbaum A. Diffusion tensor imaging and aging. Neurosci. Biobehav. Rev. 2006, 30:749-761.
81. Thompson P.M., Giedd J.N., Woods R.P., MacDonald D., Evans A.C., Toga A.W. Growth patterns in the developing brain detected by using continuum mechanical tensor maps. Nature 2000, 404:190-193.
82. Thompson P.M., Cannon T.D., Narr K.L., van Erp T., Poutanen V.-P., Huttunen M., Lönnqvist J., Standertskjöld-Nordenstam C.-G., Kaprio J., Khaledy M., Dail R., Zoumalan C.I., Toga A.W. Genetic influences on brain structure. Nat. Neurosci. 2001, 4:1253-1258.
83. Tournier J.-D., Calamante F., Gadian D.-G., Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 2004, 23:1176-1185.
84. Tournier J.-D., Calamante F., Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. NeuroImage 2007, 35:1459-1472.
85. Tournier J.-D., Yeh C.-H., Calamante F., Cho K.-H., Connelly A., Lin C.-P. Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. NeuroImage 2008, 42:617-625.
86. Tournier J.-D., Calamante F., Connelly A. MRtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 2012, 22:53-66.
87. Tuch D.S. Q-ball imaging. Magn. Reson. Med. 2004, 52:1358-1372.
88. Tuch D.S., Reese T.G., Wiegell M.R., Makris N., Belliveau J.W., Wedeen V.J. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn. Reson. Med. 2002, 48:577-582.
89. Tustison N.J., Avants B.B., Cook P.A., Zheng Y., Egan A., Yushkevich P.A., Gee J.C. N4ITK: improved N3 bias correction. IEEE Trans. Med. Imaging 2010, 29:1310-1320.
90. Tustison N.J., Avants B.B., Cook P.A., Kim J., Whyte J., Gee J.C., Stone J.R. Logical circularity in voxel-based analysis: normalization strategy may induce statistical bias. Hum. Brain Mapp. 2014, 35:745-759.
91. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 2002, 15:273-289.
92. Visscher P.M. Power of the classical twin design revisited. Twin Res. 2004, 7:505-512.
93. Voineskos A.N., Lerch J.P., Felsky D., Shaikh S., Rajji T.K., Miranda D., Lobaugh N.J., Mulsant B.H., Pollock B.G., Kennedy J.L. The brain-derived neurotrophic factor val66met polymorphism and prediction of neural risk for alzheimer disease. Arch Gen Psychiatry 2011, 68:198-206.
94. Vollmar C., O'Muircheartaigh J., Barker G.J., Symms M.R., Thompson P., Kumari V., Duncan J.S., Richardson M.P., Koepp M.J. Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0T scanners. NeuroImage 2010, 51:1384-1394.
95. Wakana S., Caprihan A., Panzenboeck M.M., Fallon J.H., Perry M., Gollub R.L., Hua K., Zhang J., Jiang H., Dubey P., Blitz A., van Zijl P., Mori S. Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage 2007, 36:630-644.
96. Wedeen V.J., Hagmann P., Tseng W.-Y.I., Reese T.G., Weisskoff R.M. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn. Reson. Med. 2005, 54:1377-1386.
97. Winkler A.M., Kochunov P., Blangero J., Almasy L., Zilles K., Fox P.T., Duggirala R., Glahn D.C. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies. NeuroImage 2010, 53:1135-1146.
98. Wishart H.A., Saykin A.J., McAllister T.W., Rabin L.A., McDonald B.C., Flashman L.A., Roth R.M., Mamourian A.C., Tsongalis G.J., Rhodes C.H. Regional brain atrophy in cognitively intact adults with a single APOE epsilon4 allele. Neurology 2006, 67:1221-1224.
99. Wozniak J.R., Lim K.O. Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging. Neurosci. Biobehav. Rev. 2006, 30:762-774.
100. Wright M.J., Martin N.G. Brisbane Adolescent Twin Study: outline of study methods and research projects. Aust. J. Psychol. 2004, 56:65-78.
101. Zaitsev M., Hennig J., Speck O. Point spread function mapping with parallel imaging techniques and high acceleration factors: fast, robust, and flexible method for echo-planar imaging distortion correction. Magn. Reson. Med. 2004, 52:1156-1166.
102. Zhan L., Leow A.D., Aganj I., Lenglet C., Sapiro G., Yacoub E., Harel N., Toga A.W., Thompson P.M. Differential information content in staggered multiple shell HARDI measured by the tensor distribution function. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2011, 305-309.