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| Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies AM Winkler, P Kochunov, J Blangero, L Almasy, K Zilles, PT Fox, ... Neuroimage 53 (3), 1135-1146, 2010 | 1272 | 2010 |
| ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts AR Laird, PM Fox, CJ Price, DC Glahn, AM Uecker, JL Lancaster, ... Human brain mapping 25 (1), 155-164, 2005 | 933 | 2005 |
| Common genetic variants influence human subcortical brain structures DP Hibar, JL Stein, ME Renteria, A Arias-Vasquez, S Desrivières, ... Nature 520 (7546), 224-229, 2015 | 866 | 2015 |
| Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control subjects via the enhancing neuro imaging genetics through meta analysis (ENIGMA) consortium TGM Van Erp, E Walton, DP Hibar, L Schmaal, W Jiang, DC Glahn, ... Biological psychiatry 84 (9), 644-654, 2018 | 771 | 2018 |
| Identification of common variants associated with human hippocampal and intracranial volumes JL Stein, SE Medland, AA Vasquez, DP Hibar, RE Senstad, AM Winkler, ... Nature genetics 44 (5), 552-561, 2012 | 714 | 2012 |
| The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data PM Thompson, JL Stein, SE Medland, DP Hibar, AA Vasquez, ... Brain imaging and behavior 8, 153-182, 2014 | 690 | 2014 |
| The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), eaay6690, 2020 | 662 | 2020 |
| Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group S Kelly, N Jahanshad, A Zalesky, P Kochunov, I Agartz, C Alloza, ... Molecular psychiatry 23 (5), 1261-1269, 2018 | 640 | 2018 |
| Genetic control over the resting brain DC Glahn, AM Winkler, P Kochunov, L Almasy, R Duggirala, MA Carless, ... Proceedings of the National Academy of Sciences 107 (3), 1223-1228, 2010 | 543 | 2010 |
| ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries PM Thompson, N Jahanshad, CRK Ching, LE Salminen, SI Thomopoulos, ... Translational psychiatry 10 (1), 100, 2020 | 522 | 2020 |
| Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study CD Whelan, A Altmann, JA Botía, N Jahanshad, DP Hibar, J Absil, ... Brain 141 (2), 391-408, 2018 | 449 | 2018 |
| A comparison of label‐based review and ALE meta‐analysis in the Stroop task AR Laird, KM McMillan, JL Lancaster, P Kochunov, PE Turkeltaub, ... Human brain mapping 25 (1), 6-21, 2005 | 413 | 2005 |
| Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group N Jahanshad, PV Kochunov, E Sprooten, RC Mandl, TE Nichols, ... Neuroimage 81, 455-469, 2013 | 407 | 2013 |
| Fractional anisotropy of water diffusion in cerebral white matter across the lifespan P Kochunov, DE Williamson, J Lancaster, P Fox, J Cornell, J Blangero, ... Neurobiology of aging 33 (1), 9-20, 2012 | 379 | 2012 |
| Novel genetic loci associated with hippocampal volume DP Hibar, HHH Adams, N Jahanshad, G Chauhan, JL Stein, E Hofer, ... Nature communications 8 (1), 13624, 2017 | 316 | 2017 |
| Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging P Kochunov, PM Thompson, JL Lancaster, G Bartzokis, S Smith, T Coyle, ... Neuroimage 35 (2), 478-487, 2007 | 298 | 2007 |
| White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group LS Van Velzen, S Kelly, D Isaev, A Aleman, LI Aftanas, J Bauer, BT Baune, ... Molecular psychiatry 25 (7), 1511-1525, 2020 | 293 | 2020 |
| Column‐based model of electric field excitation of cerebral cortex PT Fox, S Narayana, N Tandon, H Sandoval, SP Fox, P Kochunov, ... Human brain mapping 22 (1), 1-14, 2004 | 283 | 2004 |
| NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ... NeuroImage: Clinical 28, 102375, 2020 | 259 | 2020 |
Peter T. FoxResearch Imaging Institute, University of Texas Health Science Center at San AntonioVerified email at uthscsa.edu
