Research Publications

Language Production and Comprehension

Sensory/Perceptual

 

Episodic and Semantic Memory

Brain Morphometry

Genetics

  • Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., . . . Enhancing NeuroImaging Genetics through Meta-Analysis Consortium -Genetics working, g. (2020). The genetic architecture of the human cerebral cortex. Science, 367(6484). doi:10.1126/science.aay6690
  • Sonderby, I. E., Gustafsson, O., Doan, N. T., Hibar, D. P., Martin-Brevet, S., Abdellaoui, A., . . . p11.2 European Consortium, f. t. E.-C. N. V. w. g. (2019). Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry. doi: 10.1038/s41380-019-0358-8
  • Chen, X., Formisano, E., Blokland, G. A. M., Strike, L. T., McMahon, K. L., de Zubicaray, G. I., . . . Nichols, T. E. (2019). Accelerated estimation and permutation inference for ACE modeling. Hum Brain Mapp, 40(12), 3488-3507. doi:10.1002/hbm.24611
  • Couvy-Duchesne, B., Strike, L. T., McMahon, K. L., de Zubicaray, G. I., Thompson, P. M., Martin, N. G., . . . Wright, M. J. (2019). A Fast Method for Estimating Statistical Power of Multivariate GWAS in Real Case Scenarios: Examples from the Field of Imaging Genetics. Behav Genet, 49(1), 112-121. doi:10.1007/s10519-018-9936-9
  • Hwang, L. D., Strike, L. T., Couvy-Duchesne, B., de Zubicaray, G. I., McMahon, K., Breslin, P. A. S., . . . Wright, M. J. (2019). Associations between brain structure and perceived intensity of sweet and bitter tastes. Behav Brain Res, 363, 103-108. doi:10.1016/j.bbr.2019.01.046
  • Jahanshad, N., Faskowitz, J., Roshchupkin, G., Hibar, D. P., Gutman, B. A., Tustison, N. J., . . . Thompson, P. M. (2019). Multi-Site Meta-Analysis of Morphometry. IEEE/ACM Trans Comput Biol Bioinform, 16(5), 1508-1514. doi:10.1109/TCBB.2019.2914905
  • Jia, T., Chu, C., Liu, Y., van Dongen, J., Papastergios, E., Armstrong, N. J., . . . Desrivieres, S. (2019). Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group. Mol Psychiatry. doi:10.1038/s41380-019-0605-z
  • Kochunov, P., Patel, B., Ganjgahi, H., Donohue, B., Ryan, M., Hong, E. L., . . . Nichols, T. E. (2019). Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Front Neuroinform, 13, 16. doi:10.3389/fninf.2019.00016
  • Satizabal, C. L., Adams, H. H. H., Hibar, D. P., White, C. C., Knol, M. J., Stein, J. L., . . . Ikram, M. A. (2019). Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet, 51(11), 1624-1636. doi:10.1038/s41588-019-0511-y
  • Strike, L. T., Hansell, N. K., Couvy-Duchesne, B., Thompson, P. M., de Zubicaray, G. I., McMahon, K. L., & Wright, M. J. (2019). Genetic Complexity of Cortical Structure: Differences in Genetic and Environmental Factors Influencing Cortical Surface Area and Thickness. Cereb Cortex, 29(3), 952-962. doi:10.1093/cercor/bhy002
  • Strike, L. T., Hansell, N. K., Thompson, P. M., de Zubicaray, G. I., McMahon, K. L., Zietsch, B. P., & Wright, M. J. (2019). Absolute and relative estimates of genetic and environmental variance in brain structure volumes. Brain Struct Funct, 224(8), 2805-2821. doi:10.1007/s00429-019-01931-8
  • Writing Committee for the, E.-C. N. V. W. G., van der Meer, D., Sonderby, I. E., Kaufmann, T., Walters, G. B., Abdellaoui, A., . . . Andreassen, O. A. (2019). Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition. JAMA Psychiatry, 1-11. doi:10.1001/jamapsychiatry.2019.3779
  • Couvy-Duchesne, B., Strike, L. T., de Zubicaray, G. I., McMahon, K. L., Thompson, P. M., Hickie, I. B., . . . Wright, M. J. (2018). Lingual Gyrus Surface Area Is Associated with Anxiety-Depression Severity in Young Adults: A Genetic Clustering Approach. eNeuro, 5(1). doi: 10.1523/ENEURO.0153-17.2017
  • Gillespie, N. A., Neale, M. C., Bates, T. C., Eyler, L. T., Fennema-Notestine, C., Vassileva, J., . . . Wright, M. J. (2018). Testing associations between cannabis use and subcortical volumes in two large population-based samples. Addiction. doi: 10.1111/add.14252
  • Sonderby, I. E., Gustafsson, O., Doan, N. T., Hibar, D. P., Martin-Brevet, S., Abdellaoui, A., . . . p11.2 European Consortium, f. t. E.-C. N. V. w. g. (2018). Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry. doi: 10.1038/s41380-018-0118-1
  • Blokland, G. A. M., Wallace, A. K., Hansell, N. K., Thompson, P. M., Hickie, I. B., Montgomery, G. W., . . . Wright, M. J. (2017). Genome-wide association study of working memory brain activation. Int J Psychophysiol, 115, 98-111. doi: 10.1016/j.ijpsycho.2016.09.010
  • Brouwer, R. M., Panizzon, M. S., Glahn, D. C., Hibar, D. P., Hua, X., Jahanshad, N., . . . Hulshoff Pol, H. E. (2017). Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group. Hum Brain Mapp, 38(9), 4444-4458. doi: 10.1002/hbm.23672
  • Guadalupe, T., Mathias, S. R., vanErp, T. G. M., Whelan, C. D., Zwiers, M. P., Abe, Y., . . . Francks, C. (2017). Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging Behav, 11(5), 1497-1514. doi: 10.1007/s11682-016-9629-z
  • Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., . . . Ikram, M. A. (2017). Novel genetic loci associated with hippocampal volume. Nat Commun, 8, 13624. doi: 10.1038/ncomms13624
  • Lee, P. H., Baker, J. T., Holmes, A. J., Jahanshad, N., Ge, T., Jung, J. Y., . . . Smoller, J. W. (2017). Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia. Mol Psychiatry, 22(8), 1224. doi: 10.1038/mp.2017.42
  • Renteria, M. E., Schmaal, L., Hibar, D. P., Couvy-Duchesne, B., Strike, L. T., Mills, N. T., . . . Hickie, I. B. (2017). Subcortical brain structure and suicidal behaviour in major depressive disorder: a meta-analysis from the ENIGMA-MDD working group. Transl Psychiatry, 7(5), e1116. doi: 10.1038/tp.2017.84
  • Schmaal, L., Hibar, D. P., Samann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., . . . Veltman, D. J. (2017). Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry, 22(6), 900-909. doi: 10.1038/mp.2016.60
  • Wang, J., Braskie, M. N., Hafzalla, G. W., Faskowitz, J., McMahon, K. L., de Zubicaray, G. I., . . . Thompson, P. M. (2017). Relationship of a common OXTR gene variant to brain structure and default mode network function in healthy humans. Neuroimage, 147, 500-506. doi: 10.1016/j.neuroimage.2016.12.062
  • de Zubicaray, G., & Fisher, S. E. (2017). Genes, Brain, and Language: A brief introduction to the Special Issue. Brain Lang, 172, 1-2. doi: 10.1016/j.bandl.2017.08.003
  • Adams, H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Renteria, M. E., . . . Thompson, P. M. (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci, 19(12), 1569-1582. doi: 10.1038/nn.4398
  • Couvy-Duchesne, B., Ebejer, J. L., Gillespie, N. A., Duffy, D. L., Hickie, I. B., Thompson, P. M., . . . Wright, M. J. (2016). Head Motion and Inattention/Hyperactivity Share Common Genetic Influences: Implications for fMRI Studies of ADHD. PLoS One, 11(1), e0146271. doi: 10.1371/journal.pone.0146271
  • Lee, P. H., Baker, J. T., Holmes, A. J., Jahanshad, N., Ge, T., Jung, J. Y., . . . Smoller, J. W. (2016). Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia. Mol Psychiatry, 21(12), 1680-1689. doi: 10.1038/mp.2016.164
  • Lupton, M. K., Strike, L., Hansell, N. K., Wen, W., Mather, K. A., Armstrong, N. J., . . . Wright, M. J. (2016). The effect of increased genetic risk for Alzheimer’s disease on hippocampal and amygdala volume. Neurobiol Aging, 40, 68-77. doi: 10.1016/j.neurobiolaging.2015.12.023
  • Roshchupkin, G. V., Gutman, B. A., Vernooij, M. W., Jahanshad, N., Martin, N. G., Hofman, A., . . . Adams, H. H. (2016). Heritability of the shape of subcortical brain structures in the general population. Nat Commun, 7, 13738. doi: 10.1038/ncomms13738
  • Schmaal, L., Veltman, D. J., van Erp, T. G., Samann, P. G., Frodl, T., Jahanshad, N., . . . Hibar, D. P. (2016). Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry, 21(6), 806-812. doi: 10.1038/mp.2015.69
  • Schmaal, L., Veltman, D. J., van Erp, T. G., Samann, P. G., Frodl, T., Jahanshad, N., . . . Hibar, D. P. (2016). Response to Dr Fried & Dr Kievit, and Dr Malhi et al. Mol Psychiatry, 21(6), 726-728. doi: 10.1038/mp.2016.9
  • Shan, Z. Y., Vinkhuyzen, A. A. E., Thompson, P. M., McMahon, K. L., Blokland, G. A. M., de Zubicaray, G. I., . . . Reutens, D. C. (2016). Genes influence the amplitude and timing of brain hemodynamic responses. Neuroimage, 124(Pt A), 663-671. doi: 10.1016/j.neuroimage.2015.09.016
  • Shen, K. K., Dore, V., Rose, S., Fripp, J., McMahon, K. L., de Zubicaray, G. I., . . . Salvado, O. (2016). Heritability and genetic correlation between the cerebral cortex and associated white matter connections. Hum Brain Mapp, 37(6), 2331-2347. doi: 10.1002/hbm.23177
  • Yang, Z., Zuo, X. N., McMahon, K. L., Craddock, R. C., Kelly, C., de Zubicaray, G. I., . . . Wright, M. J. (2016). Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain. Cereb Cortex, 26(5), 2341-2352. doi: 10.1093/cercor/bhw027
  • Hibar, D.P. and ENIGMA2 consortium authors. (2015). Common genetic variants influence human subcortical brain structures. Nature, 520(7546), 224-229.
  • Couvy-Duchesne, B., Blokland, G.A., Hickie, I.B., Thompson, P.M., Martin, N.G., de Zubicaray, G.I., McMahon, K.L., & Wright, M.J. (2014). Heritability of head motion during resting state functional MRI in 462 healthy twins. Neuroimage, 102 Pt 2, 424-434.
  • Dennis, E.L., Jahanshad, N., Braskie, M.N., Warstadt, N.M., Hibar, D.P., Kohannim, O., Nir, T.M., McMahon, K.L., de Zubicaray, G.I., Montgomery, G.W., Martin, N.G., Toga, A.W., Wright, M.J., & Thompson, P.M. (2014). Obesity gene NEGR1 associated with white matter integrity in healthy young adults. Neuroimage, 102 Pt 2, 548-557.
  • Shen, K.K., Rose, S., Fripp, J., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Thompson, P.M., Wright, M.J., & Salvado, O. (2014). Investigating brain connectivity heritability in a twin study using diffusion imaging data. Neuroimage, 100, 628-641.
  • Prasad, G., S. H. Joshi, N. Jahanshad, J. Villalon-Reina, I. Aganj, C. Lenglet, G. Sapiro, K. L. McMahon, G. I. de Zubicaray, N. G. Martin, M. J. Wright, A. W. Toga and P. M. Thompson (2014). “Automatic clustering and population analysis of white matter tracts using maximum density paths.” Neuroimage, 97, 284-295.
  • Kochunov, P., N. Jahanshad, E. Sprooten, T. E. Nichols, R. C. Mandl, L. Almasy, T. Booth, R. M. Brouwer, J. E. Curran, G. I. de Zubicaray, R. Dimitrova, R. Duggirala, P. T. Fox, L. Elliot Hong, B. A. Landman, H. Lemaitre, L. M. Lopez, N. G. Martin, K. L. McMahon, B. D. Mitchell, R. L. Olvera, C. P. Peterson, J. M. Starr, J. E. Sussmann, A. W. Toga, J. M. Wardlaw, M. J. Wright, S. N. Wright, M. E. Bastin, A. M. McIntosh, D. I. Boomsma, R. S. Kahn, A. den Braber, E. J. de Geus, I. J. Deary, H. E. Hulshoff Pol, D. E. Williamson, J. Blangero, D. van ‘t Ent, P. M. Thompson and D. C. Glahn (2014). “Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.” Neuroimage 95C: 136-150.
  • Jin, Y., Y. Shi, L. Zhan, B. Gutman, G. I. de Zubicaray, K. L. McMahon, M. J. Wright, A. W. Toga and P. M. Thompson (2014). “Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics.” Neuroimage, 100, 75-90.
  • Thompson, P. M., J. L. Stein, S. E. Medland, D. P. Hibar, A. A. Vasquez, M. E. Renteria, R. Toro, N. Jahanshad, G. Schumann, B. Franke, M. J. Wright, N. G. Martin, I. Agartz, M. Alda, S. Alhusaini, L. Almasy, J. Almeida, K. Alpert, N. C. Andreasen, O. A. Andreassen, L. G. Apostolova, K. Appel, N. J. Armstrong, B. Aribisala, M. E. Bastin, M. Bauer, C. E. Bearden, O. Bergmann, E. B. Binder, J. Blangero, H. J. Bockholt, E. Boen, C. Bois, D. I. Boomsma, T. Booth, I. J. Bowman, J. Bralten, R. M. Brouwer, H. G. Brunner, D. G. Brohawn, R. L. Buckner, J. Buitelaar, K. Bulayeva, J. R. Bustillo, V. D. Calhoun, D. M. Cannon, R. M. Cantor, M. A. Carless, X. Caseras, G. L. Cavalleri, M. M. Chakravarty, K. D. Chang, C. R. Ching, A. Christoforou, S. Cichon, V. P. Clark, P. Conrod, G. Coppola, B. Crespo-Facorro, J. E. Curran, M. Czisch, I. J. Deary, E. J. de Geus, A. den Braber, G. Delvecchio, C. Depondt, L. de Haan, G. I. de Zubicaray, D. Dima, R. Dimitrova, S. Djurovic, H. Dong, G. Donohoe, R. Duggirala, T. D. Dyer, S. Ehrlich, C. J. Ekman, T. Elvsashagen, L. Emsell, S. Erk, T. Espeseth, J. Fagerness, S. Fears, I. Fedko, G. Fernandez, S. E. Fisher, T. Foroud, P. T. Fox, C. Francks, S. Frangou, E. M. Frey, T. Frodl, V. Frouin, H. Garavan, S. Giddaluru, D. C. Glahn, B. Godlewska, R. Z. Goldstein, R. L. Gollub, H. J. Grabe, O. Grimm, O. Gruber, T. Guadalupe, R. E. Gur, R. C. Gur, H. H. Goring, S. Hagenaars, T. Hajek, G. B. Hall, J. Hall, J. Hardy, C. A. Hartman, J. Hass, S. N. Hatton, U. K. Haukvik, K. Hegenscheid, A. Heinz, I. B. Hickie, B. C. Ho, D. Hoehn, P. J. Hoekstra, M. Hollinshead, A. J. Holmes, G. Homuth, M. Hoogman, L. E. Hong, N. Hosten, J. J. Hottenga, H. E. Hulshoff Pol, K. S. Hwang, C. R. Jack, Jr., M. Jenkinson, C. Johnston, E. G. Jonsson, R. S. Kahn, D. Kasperaviciute, S. Kelly, S. Kim, P. Kochunov, L. Koenders, B. Kramer, J. B. Kwok, J. Lagopoulos, G. Laje, M. Landen, B. A. Landman, J. Lauriello, S. M. Lawrie, P. H. Lee, S. Le Hellard, H. Lemaitre, C. D. Leonardo, C. S. Li, B. Liberg, D. C. Liewald, X. Liu, L. M. Lopez, E. Loth, A. Lourdusamy, M. Luciano, F. Macciardi, M. W. Machielsen, G. M. Macqueen, U. F. Malt, R. Mandl, D. S. Manoach, J. L. Martinot, M. Matarin, K. A. Mather, M. Mattheisen, M. Mattingsdal, A. Meyer-Lindenberg, C. McDonald, A. M. McIntosh, F. J. McMahon, K. L. McMahon, E. Meisenzahl, I. Melle, Y. Milaneschi, S. Mohnke, G. W. Montgomery, D. W. Morris, E. K. Moses, B. A. Mueller, S. Munoz Maniega, T. W. Muhleisen, B. Muller-Myhsok, B. Mwangi, M. Nauck, K. Nho, T. E. Nichols, L. G. Nilsson, A. C. Nugent, L. Nyberg, R. L. Olvera, J. Oosterlaan, R. A. Ophoff, M. Pandolfo, M. Papalampropoulou-Tsiridou, M. Papmeyer, T. Paus, Z. Pausova, G. D. Pearlson, B. W. Penninx, C. P. Peterson, A. Pfennig, M. Phillips, G. B. Pike, J. B. Poline, S. G. Potkin, B. Putz, A. Ramasamy, J. Rasmussen, M. Rietschel, M. Rijpkema, S. L. Risacher, J. L. Roffman, R. Roiz-Santianez, N. Romanczuk-Seiferth, E. J. Rose, N. A. Royle, D. Rujescu, M. Ryten, P. S. Sachdev, A. Salami, T. D. Satterthwaite, J. Savitz, A. J. Saykin, C. Scanlon, L. Schmaal, H. G. Schnack, A. J. Schork, S. C. Schulz, R. Schur, L. Seidman, L. Shen, J. M. Shoemaker, A. Simmons, S. M. Sisodiya, C. Smith, J. W. Smoller, J. C. Soares, S. R. Sponheim, E. Sprooten, J. M. Starr, V. M. Steen, S. Strakowski, L. Strike, J. Sussmann, P. G. Samann, A. Teumer, A. W. Toga, D. Tordesillas-Gutierrez, D. Trabzuni, S. Trost, J. Turner, M. Van den Heuvel, N. J. van der Wee, K. van Eijk, T. G. van Erp, N. E. van Haren, D. van ‘t Ent, M. J. van Tol, M. C. Valdes Hernandez, D. J. Veltman, A. Versace, H. Volzke, R. Walker, H. Walter, L. Wang, J. M. Wardlaw, M. E. Weale, M. W. Weiner, W. Wen, L. T. Westlye, H. C. Whalley, C. D. Whelan, T. White, A. M. Winkler, K. Wittfeld, G. Woldehawariat, C. Wolf, D. Zilles, M. P. Zwiers, A. Thalamuthu, P. R. Schofield, N. B. Freimer, N. S. Lawrence, W. Drevets and E. C. I. C. S. Y. S. G. Alzheimer’s Disease Neuroimaging Initiative (2014). “The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.” Brain Imaging and Behavior, 8, 153-182.
  • Roussotte, F. F., N. Jahanshad, D. P. Hibar, E. R. Sowell, O. Kohannim, M. Barysheva, N. K. Hansell, K. L. McMahon, G. I. de Zubicaray, G. W. Montgomery, N. G. Martin, M. J. Wright, A. W. Toga, C. R. Jack, Jr., M. W. Weiner, P. M. Thompson and Adni (2014). “A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: replication in elderly and young populations.” Human Brain Mapping, 35, 1226-1236.
  • Blokland, G. A., McMahon, K. L., Thompson, P. M., Hickie, I. B., Martin, N. G., de Zubicaray, G. I., & Wright, M. J. (2014). Genetic effects on the cerebellar role in working memory: Same brain, different genes? Neuroimage, 86, 392-403.
  • Shan, Z., Wright, M.J., Thompson, P.M., McMahon, K.L., Blokland, G.A., de Zubicaray, G.I., Martin, N.G., Vinkhuyzen, A.A., & Reutens, D.C. (2014). Modeling of the hemodynamic responses in block design fmri studies. Modeling of the hemodynamic responses in block design fMRI studies. Journal of Cerebral Blood Flow and Metabolism, 34(2), 316-324.
  • Dennis, E.L., Jahanshad, N., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Hickie, I.B., Toga, A.W., Wright, M.J., & Thompson, P.M. (2013). Development of insula connectivity between ages 12 and 30 revealed by high angular resolution diffusion imaging. Human Brain Mapping, 35, 1790-800.
  • Braskie, M. N., Kohannim, O., Jahanshad, N., Chiang, M. C., Barysheva, M., Toga, A. W., Ringman, J. M., Montgomery, G. W., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., & Thompson, P. M. (2013). Relation between variants in the neurotrophin receptor gene, NTRK3, and white matter integrity in healthy young adults. NeuroImage, 82, 146-153.
  • Jahanshad, N., Kochunov, P., Sprooten, E., Mandl, R.C., Nichols, T.E., Almassy, 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., Mitchel, B.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, S.E., McIntosh, A.M., Deary, I.J., Thompson, P.M., & Glahn, D.C. (2013). Multi-­site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group. NeuroImage, 81, 455-69.
  • Jahanshad, N., Rajagopalan, P., Hua, X., Hibar, D.P., Nir, T.M., Toga, A.W., Jack, C.R. Jr, Saykin, A.J., Green, R.C., Weiner, M.W., Medland, S.E., Montgomery, G.W., Hansell, N.K., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Wright, M.J., Thompson, P.M., Alzheimer’s Disease Neuroimaging Initiative. (2013). Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity Proceedings of the National Academy of Science USA, 110(12), 4768-4773.
  • Dennis, E. L., Jahanshad, N., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., Thompson, P. M. (2013). Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults. NeuroImage, 64, 671-684.
  • Liu, F., van der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, M.M., Hysi, P.G., Wollstein, A., Lao, O., de Bruijne, M., Ikram, M.A., van der Lugt, A., Rivadeneira, F., Uitterlinden, A.G., Hofman, A., Niessen, W.J., Homuth, G., de Zubicaray, G., McMahon, K.L., Thompson, P.M., Daboul, A., Puls, R., Hegenscheid, K., Bevan, L., Pausova, Z., Medland, S.E., Montgomery, G.W., Wright, M.J., Wicking, C., Boehringer, S., Spector, T.D., Paus, T., Martin, N.G., Biffar, R., & Kayser. M. (2012). A genome-wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genetics, 8(9):e1002932.
  • Braskie, M.N., Jahanshad, N., Toga, A.W., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Wright, M.J., & Thompson, P.M. (2012). How a common variant in the growth factor receptor gene, NTRK1, affects white matter. Bioarchitecture, 2(5).
  • Hibar, D. P., Stein, J. L., Ryles, A. B., Kohannim, O., Jahanshad, N., Medland, S. E., Hansell, N. K., McMahon, K. L., de Zubicaray, G. I., Montgomery, G. W., Martin, N. G., Wright, M. J., Saykin, A. J., Jack, C. R. Jr., Weiner, M. W., Toga, A. W., Thompson, P. M., & the Alzheimer’s Disease Neuroimaging Initiative. (2012). Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N = 1345 young and elderly subjects. Brain Imaging and Behaviour. Aug 18.
  • Kohannim, O., Hibar, D. P., Stein, J. L., Jahanshad, N., Hua, X., Rajagopalan, P., Toga, A. W., Jack, C. R. Jr., Weiner, M. W., de Zubicaray, G. I., McMahon, K. L., Hansell, N. K., Martin, N. G., Wright, M. J., Thompson, P. M., & Alzheimer’s Disease Neuroimaging Initiative. (2012). Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression. Frontiers in Neuroscience, 6:115.
  • Blokland, G. A. M., McMahon, K. L., de Zubicaray, G. I., & Wright, M. J. (2012). Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies. Twin Research and Human Genetics, 15, 351-371.
  • Hibar, D. P., Jahanshad, N., Stein, J. L., Kohannim, O., Toga, A. W., Medland, S. E., Hansell, N. K., McMahon, K. L., de Zubicaray, G. I., Montgomery, G., Martin, N .G, Wright, M. J., & Thompson, P. M. (2012). Alzheimer’s Disease Risk Gene, GAB2, is Associated with Regional Brain Volume Differences in 755 Young Healthy Twins. Twin Research and Human Genetics, 15, 286-295.
  • Chiang, M-C., Barysheva, M., McMahon, K., de Zubicaray, G., Johnson, K., Montgomery, G., Martin, N., Toga, A. Wright, M., Shapshak, P., & Thompson, P. (2012). Gene network effects on brain microstructure and intellectual performance identified in 472 twins. Journal of Neuroscience, 32, 8732-8745.
  • Stein, J. et al. (2012). Identification of common variants associated with human hippocampal and intracranial volumes. Nature Genetics, 44, 552–561.
  • Dennis, E.L., Jahanshad, N., Rudie, J.D., Brown, J.A., Johnson, K., McMahon, K.L., de Zubicaray, G.I., Montgomery, G., Martin, N.G., Wright, M.J., Bookheimer, S.Y., Dapretto, M., Toga, A.W., Thompson, P.M. (2011). Altered Structural Brain Connectivity in Healthy Carriers of the Autism Risk Gene, CNTNAP2. Brain Connectivity, 2011, 447-59..
  • Braskie, M., Jahanshad, N., Stein, J., Barysheva, M., Johnson, K., McMahon, K., de Zubicaray, G., Martin, N., Wright, M., Ringman, J., Toga, A., & Thompson, P. (2012) Relationship of a variant in the NTRK1 gene to white matter microstructure in young adults. Journal of Neuroscience, 32, 5964-5972.
  • Kohannim, O., Jahanshad, N., Braskie, M., Stein, J., Chiang, M-C., Reese, A.H., Hibar, D.P., Toga, A., McMahon, K., de Zubicaray, G., Medland., S.E., Montgomery, G.W., Martin, N., Wright, M., & Thompson, P. (2011). Predicting white matter integrity from multiple common genetic variants. Neuropsychopharmacology, 37, 2012-2019.
  • Jahanshad, N., Kohannim, O., Hibar, D., Stein, J., McMahon, K., de Zubicaray, G., Medland, S., Montgomery, G., Whitfield, J., Martin, N., Wright, M., Toga, A., & Thompson, P. (2012). Brain structure in healthy adults is related to serum transferrin and the H63D HFE polymorphism. Proceedings of the National Academy of Science USA, 109, E851-9.
  • Blokland, G., A., McMahon, K. L., Thompson, P.M., Martin, N.G., de Zubicaray, G.I., & Wright, M.J. (2011). Heritability of working memory brain activation. Journal of Neuroscience, 31, 10882-10890.
  • Braskie, M., Jahanshad, N., Stein, J., Barysheva, M., McMahon, K., de Zubicaray, G., Martin, N., Wright, M., Ringman, J., Toga, A., & Thompson, P. (2011). Common Alzheimer’s disease risk variant within the CLU gene affects white matter microstructure in young adults.Journal of Neuroscience, 31, 6764-6770.
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  • Chiang, M.C., McMahon, K., de Zubicaray, G., Martin, N., Hickie, I., Toga, A., Wright, M., & Thompson, P. (2011). Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29. NeuroImage, 54, 2308-2317.
  • Chiang, M.C., Barysheva, M., Toga, A.W., Medland, S., Hansell, N., James, M., McMahon, K., de Zubicaray, G.I., Martin, N.G., Wright, M., & Thompson, P.M. (2011). BDNF gene effects on brain circuitry replicated in 455 twins. NeuroImage, 55, 448-454.
  • Jahanshad, N., Lee, A.D., Barysheva, M., McMahon, K., de Zubicaray, G.I., Martin, N.G., Wright, M.,Toga, A.W., & Thompson, P.M. (2010). Genetic influences on brain asymmetry: A DTI study of 374 twins and siblings. NeuroImage, 52, 455-69.
  • Brun, C. Lepore, N., Pennec, X., Lee, A.D., Barysheva, M., Madsen, S.K., Avedissian, C., Chou, Y-Y., de Zubicaray, G.I., McMahon, K., Wright, M., Toga, A.W., & Thompson, P.M. (2009). Mapping the regional influence of genetics on brain structure variability: A tensor-based morphometry study. NeuroImage, 48, 37-49.
  • 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. (2009). Genetics of brain fiber architecture and intellectual performance. Journal of Neuroscience, 29, 2212-2224.
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  • Blokland, G., A., McMahon, K. L., Hoffman, J., Zhu, G., Meredith, M., Martin, N.G., Thompson, P.M., de Zubicaray, G.I., & Wright, M.J. (2008). Quantifying the heritability of task-related brain activation and performance during the N-back working memory task: a twin fMRI study. Biological Psychology, 79, 70–79, Special Issue, Genetics and Imaging in Neuroscience.

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