# 共同第一作者(co-first author); * 通讯作者(corresponding author)
In Press
Cui, Z.#, Su, M.#, Li, L., Shu, H.*, Gong, G.* (2017). Individualized Prediction of Reading Comprehension Ability Using Gray Matter Volume.Cerebral Cortex. In press.[PDF]
Reid, A. T., Hoffstaedter, F., Gong, G., Laird, A. R., Fox, P., Evans, A. C., Eickhoff, S. B. (2016). A seed-based cross-modal comparison of brain connectivity measures. Brain Structure and Function. In press.[PDF]
Xu, B., Su, L., Wang, Z., Fan, Y., Gong, G., Zhu, W., Gao, P., Gao, JH.* (2017). Anomalous diffusion in cerebral glioma assessed using a fractional motion model. Magnetic Resonance in Medicine. In press.[PDF]
Xu, B., Gong, G., Fan, Y., Wu, B., Gao, JH.* (2017). Directional sensitivity of anomalous diffusion in human brain assessed by tensorial fractional motion model. Magnetic Resonance Imaging, 42: 71-81.[PDF]
Li, L., Abutalebi, J., Emmorey, K., Gong, G., Yan, X., Feng, X., Zou, L., Ding, G.* (2017). How bilingualism protects the brain from aging: Insights from bimodal bilinguals. Human Brain Mapping, 38: 4109-24.[PDF]
Wang, X.#, He, C.#, Peelen, MV., Zhong, S., Gong, G., Caramazza, A., Bi, Y.* (2017). Domain Selectivity in the Parahippocampal Gyrus Is Predicted by the Same Structural Connectivity Patterns in Blind and Sighted Individuals. The Journal of Neuroscience, 37: 4705-16.[PDF]
Zhao, C., Gong, G.* (2017). Mapping the effect of the X chromosome on the human brain: Neuroimaging evidence from Turner syndrome. Neuroscience and Biobehavioral Reviews, 80: 263-275.[PDF]
Zhong, S., He, Y., Shu, H., Gong, G.* (2017). Developmental Changes in Topological Asymmetry Between Hemispheric Brain White Matter Networks from Adolescence to Young Adulthood. Cerebral Cortex, 27: 2560-70.[PDF]
Sun, X.#, Song, S.#, Liang, X., Xie, Y., Zhao, C., Zhang, Y., Shu, H.*, Gong, G.* (2017). ROBO1 polymorphisms, callosal connectivity, and reading skills.Human Brain Mapping, 38: 2616-26.[PDF] [Cover]
Xie, S.#, Yang, J.#, Zhang, Z.#, Zhao, C., Bi, Y., Zhao, Q., Pan, H., Gong, G.* (2017). The Effects of the X Chromosome on Intrinsic Functional Connectivity in the Human Brain: Evidence from Turner Syndrome Patients. Cerebral Cortex, 27: 474-484.[PDF]
Yu, Y.#, Liang, X.#, Yu, H., Zhao, W., Lu, Y., Huang, Y., Yin, C.*, Gong, G.*, Han, Y.* (2017). How does white matter microstructure differ between the vascular and amnestic mild cognitive impairment? Oncotarget, 8: 42-50.[PDF]
Chen, Y.#, Liu, Z.#, Zhang, J., Chen, K., Yao, L., Li, X., Xin, L., Gong, G., Zhang, Z. (2017). Precuneus degeneration in nondemented elderly individuals with APOE ɛ4: Evidence from structural and functional MRI analyses. Human Brain Mapping, 38: 271-282.[PDF]
Wu, C. L.#, Zhong, S.#, Chan, Y. C., Chen, H. C., Gong, G., He, Y., & Li, P. (2016). White-Matter Structural Connectivity Underlying Human Laughter-Related Traits Processing. Frontiers in Psychology, 7: 1637.[PDF]
Qing , Z., Gong, G.* (2016). Size matters to function:Brain volume correlates with intrinsic brain activity across healthy individuals. NeuroImage, 139: 271-278.[PDF]
Zhao, Y., Chen, X., Zhong, S., Cui, Z.,Gong, G., Dong, Q., & Nan, Y. (2016). Abnormal topological organization of the white matter network in Mandarin speakers with congenital amusia. Scientific reports, 6: 26505.[PDF]
Stam, C. J., van Straaten, E. C., Van Dellen, E., Tewarie, P., Gong, G., Hillebrand, A., Meier, J., Van Mieghem, P. (2016). The relation between structural and functional connectivity patterns in complex brain networks. International Journal of Psychophysiology, 103: 149-60.[PDF]
Cui, Z., Xia, Z., Su, M., Shu, H.,* Gong, G.* (2016). Disrupted White Matter Connectivity Underlying Developmental Dyslexia: A Machine Learning Approach. Human Brain Mapping, 37: 1443-58.[PDF]
Li, S., Xie. Y., Li, H., Li, X., Zhang, Z., Zhao, Q., Xie, S., Gong, G.* (2016). Morphological Changes of Amygdala in Turner Syndrome Patients.CNS Neuroscience & Therapeutics, 22: 194-9.[PDF]
Han, Z., Ma, Y., Gong, G., Huang, R., Song, L., Bi, Y. (2016). White matter pathway supporting phonological encoding in speech production: a multi-modal imaging study of brain damage patients. Brain Structure and Function, 221: 577-89.[PDF]
Ouyang, M., Cheng, H., Mishra, V., Gong, G., Mosconi, MW., Sweeney, J., Peng, Y., Huang, H.(2016). Atypical Age-Dependent Effects of Autism on White Matter Microstructure in Children of 2–7 Years. Human Brain Mapping, 37: 819-32.[PDF]
Qi, T., Gu, B., Ding, G., Gong, G., Lu, C., Peng, D., Malins, JG., Liu, L.(2016).More bilateral,more anterior: Alterations of brain organization in the large-scale structural network in Chinese dyslexia.Neuroimage, 124: 63-74.[PDF]
Xie, S., Zhang, Z., Zhao, Q., Zhang, J., Zhong, S., Bi, Y., He, Y., Pan, H., Gong, G.* (2015). The Effects of X Chromosome Loss on Neuroanatomical and Cognitive Phenotypes During Adolescence: a Multi-modal Structural MRI and Diffusion Tensor Imaging Study. Cerebral Cortex, 25: 2842-2853. [PDF]
Chen, Y.#, Li, P.#, Gu, B.#, Liu, Z., Li, X., Evans, A. C., Gong, G.*, Zhang, Z.* (2015). The effects of an APOE promoter polymorphism on human cortical morphology during nondemented aging. The Journal of Neuroscience, 35: 1423-1431.[PDF]
Zhong, S., He, Y., Gong, G.* (2015). Convergence and divergence across construction methods for human brain white matter networks: An assessment based on individual differences. Human Brain Mapping, 36: 1995-2013.[PDF]
Xie, Y.#, Cui, Z.#, Zhang, Z.#, Sun, Y., Sheng, C., Li, K., Gong, G.*, Han, Y.*, Jia, J.* (2015). Identification of amnestic mild cognitive impairment using multi-modal brain features: A combined structural MRI and diffusion tensor imaging study. Journal of Alzheimer’s Disease, 47: 509-522.[PDF]
Cui, Z., Zhao, C., Gong, G.* (2015). Parallel workflow tools to facilitate human brain MRI post-processing. Frontiers in Neuroscience, 9: 171.[PDF]
Yang, S.*, Hua, P., Shang, X., Cui, Z., Zhong, S., Gong, G.*, William Humphreys, G. (2015). Deficiency of brain structural sub-network underlying post-ischaemic stroke apathy. European Journal of Neurology, 22:341-347.[PDF]
Lin, Q., Dai, Z., Xia, M., Han, Z., Huang, R., Gong, G., Liu, C., Bi, Y., He, Y. (2015). A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults. Scientific Data.[PDF]
Fang, Y., Han, Z., Zhong, S., Gong, G., Song, L., Liu, F., Huang, R., Du, X., Sun, R., Wang, Q., He, Y., Bi, Y. (2015). The semantic anatomical network: Evidence from healthy and brain-damaged patient populations. Human Brain Mapping, 36: 3499-3515.[PDF]
Tang, J., Zhong, S., Chen, Y., Chen, K., Zhang, J., Gong, G., Fleisher, A. S., He, Y., Zhang, Z. (2015). Aberrant white matter networks mediate cognitive impairment in patients with silent lacunar infarcts in basal ganglia territory. Journal of Cerebral Blood Flow and Metabolism, 35: 1426-1434.[PDF]
Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, Z. J., Rollins, N., Gong, G., Cheng, H., Peng, Y., Dong, Q., He, Y. (2015). Development of human brain structural networks through infancy and childhood. Cerebral Cortex, 25: 1389-1404.[PDF]
Bi, Y., Han, Z., Zhong, S., Ma, Y., Gong, G., Huang, R., Song, L., Fang, Y., He, Y., Caramazza, A. (2015). The white matter structural network underlying human tool use and tool understanding. The Journal of Neuroscience, 35: 6822-6835.[PDF]
Wang, Z., Dai, Z., Gong, G., Zhou, C., He, Y. (2015). Understanding Structural-Functional Relationships in the Human Brain: A Large-Scale Network Perspective. The Neuroscientist, 21: 290-305.[PDF]
Yang, S., Hua, P., Shang, X., Cui, Z., Zhong, S., Gong, G., Humphreys, G. W. (2015). A significant risk factor for poststroke depression: the depression-related subnetwork. Journal of Psychiatry and Neuroscience, 40: 140086.[PDF]
Jiang, W., Gong, G., Wu, F., Kong, L., Chen, K., Cui, W., Ren, L., Fan, G., Sun, W., Ma, H., Xu, K., Tang, Y., Wang, F. (2015). The papez circuit in first-episode, treatment-naive adults with major depressive disorder: combined atlas-based tract-specific quantification analysis and voxel-based analysis. PloS One, 10: e0126673.[PDF]
Tewarie, P., Hillebrand, A., van Dellen, E., Schoonheim, M. M., Barkhof, F., Polman, C. H., Beaulieu, C., Gong, G., van Dijk, B. W., Stam, C. J. (2014). Structural degree predicts functional network connectivity: A multimodal resting-state fMRI and MEG study. Neuroimage, 97: 296-307.[PDF]
Liu, Y., Xie, T., He, Y., Duan, Y., Huang, J., Ren, Z., Gong, G., Wang, J., Ye, J., Dong, H., Butzkueven, H., Shi, F. D., Shu, N., Li, K. (2014). Cortical thinning correlates with cognitive change in multiple sclerosis but not in neuromyelitis optica. European Radiology, 24: 2334-2343.[PDF]
Gong, G.* (2013). Local diffusion homogeneity (LDH): an inter-voxel diffusion MRI metric for assessing inter-subject white matter variability. PloS One, 8: e66366.[PDF]
Cui, Z., Zhong, S., Xu, P., He, Y., Gong, G.* (2013). PANDA: a pipeline toolbox for analyzing brain diffusion images. Frontiers in Human Neuroscience, 7: 42.[PDF]
Han, Z., Ma, Y., Gong, G., He, Y., Caramazza, A., Bi, Y. (2013). White matter structural connectivity underlying semantic processing: evidence from brain damaged patients. Brain, 136: 2952-2965.[PDF]
Cao, Q., Shu, N., An, L., Wang, P., Sun, L., Xia, M., Wang, J., Gong, G., Zang, Y., Wang, Y., He, Y. (2013). Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder. The Journal of Neuroscience, 33: 10676-10687.[PDF]
Li, S., Wang, B., Xu, P., Lin, Q., Gong, G., Peng, X., Fan, Y., He, Y., Huang, R. (2013). Increased Global and Local Efficiency of Human Brain Anatomical Networks Detected with FLAIR-DTI Compared to Non-FLAIR-DTI. PloS One, 8:e71229.[PDF]
Mishra, V., Cheng, H., Gong, G., He, Y., Dong, Q., Huang, H. (2013). Differences of inter-tract correlations between neonates and children around puberty: a study based on microstructural measurements with DTI. Frontiers in Human Neuroscience, 7: 721.[PDF]
Zhao, Q., Zhang, Z., Xie, S., Pan, H., Zhang, J., Gong, G., Cui, Z. (2013). Cognitive impairment and gray/white matter volume abnormalities in pediatric patients with Turner syndrome presenting with various karyotypes. Journal of Pediatric Endocrinology and Metabolism, 26: 1111-1121.[PDF]
Gong, G., He, Y., Chen, Z., Evans, A. C. (2012). Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex. Neuroimage, 59: 1239-1248.[PDF]
Li, S., Wang, Y., Xu, P., Pu, F., Li, D., Fan, Y., Gong, G.*, Luo, Y.* (2012). Surface morphology of amygdala is associated with trait anxiety. PloS One, 7: e47817.[PDF]
Gong, G., Alexander, R. P., Shi, F., Beaulieu, C., Gross, D. W. (2012). Isolated febrile seizures are not associated with structural abnormalities of the limbic system. Epilepsy Research, 102: 216-220.[PDF]
Liang, X., Wang, J., Yan, C., Shu, N., Xu, K., Gong, G., He, Y. (2012). Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: a resting-state functional MRI study. PloS One, 7: e32766.[PDF]
Gong, G., He, Y., Evans, A. C. (2011). Brain Connectivity: Gender Makes a Difference. The Neuroscientist, 17: 575-591.[PDF]
Yan, C., Gong, G., Wang, J., Wang, D., Liu, D., Zhu, C., Chen, Z., Evans, A. C., Zang, Y., He, Y. (2011). Sex- and Brain Size-Related Small-World Structural Cortical Networks in Young Adults: A DTI Tractography Study. Cerebral Cortex, 21: 449-458.[PDF]
Chen, Z., He, Y., Rosa-Neto, P., Gong, G., Evans, A. C. (2011). Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI. Neuroimage, 56: 235-245.[PDF]
Cao, Q., Sun, L., Gong, G., Lv, Y., Cao, X., Shuai, L., Zhu, C., Zang, Y., Wang, Y. (2010). The macrostructural and microstructural abnormalities of corpus callosum in children with attention deficit/hyperactivity disorder: A combined morphometric and diffusion tensor MRI study. Brain Research, 1310: 172-180.[PDF]
Fan, L., Tang, Y., Sun, B., Gong, G., Chen, Z., Lin, X., Yu, T., Li, Z., Evans, A. C., Liu, S. (2010). Sexual dimorphism and asymmetry in human cerebellum: An MRI-based morphometric study. Brain Research, 1353: 60-73.[PDF]
Gong, G.#, He, Y.#, Concha, L., Lebel, C., Gross, D. W., Evans, A. C., Beaulieu, C. (2009). Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography. Cerebral Cortex, 19: 524-536.[PDF]
Gong, G., Rosa, P., Carbonell, F., Chen, Z., He, Y., Evans, A. C. (2009). Age- and Gender-Related Differences in the Cortical Anatomical Network. The Journal of Neuroscience, 29: 15684-15693.[PDF]
Wang, F., Kalmar, J. H., He, Y., Jackowski, M., Chepenik, L. G., Edmiston, E. E., Tie, K., Gong, G., Shah, M. P., Jones, M., Uderman, J., Constable, R. T., Blumberg, H. P. (2009). Functional and Structural Connectivity Between the Perigenual Anterior Cingulate and Amygdala in Bipolar Disorder. Biological Psychiatry, 66: 516-521.[PDF]
He, Y., Chen, Z., Gong, G., Evans, A. C. (2009). Neuronal Networks in Alzheimer's Disease. The Neuroscientist, 15: 333-350.[PDF]
Gong, G., Shi, F., Concha, L., Beaulieu, C., Gross, D. W. (2008). Insights into the sequence of structural consequences of convulsive status epilepticus: A longitudinal MRI study. Epilepsia, 49: 1941-1945.[PDF]
Gong, G., Concha, L., Beaulieu, C., Gross, D. W. (2008). Thalamic diffusion and volumetry in temporal lobe epilepsy with and without mesial temporal sclerosis. Epilepsy Research, 80: 184-193.[PDF]
Wang, F., Jackowski, M., Kalmar, J. H., Chepenik, L. G., Tie, K., Qiu, M., Gong, G., Pittman, B. P., Jones, M. M., Shah, M. P., Spencer, L., Papademetris, X., Constable, R. T., Blumberg, H. P. (2008). Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging. British Journal of Psychiatry, 193: 126-129.[PDF]
Ma, N., Li, L., Shu, N., Liu, J., Gong, G., He, Z., Li, Z., Tan, L., Stone, W. S., Zhang, Z., Xu, L., Jiang, T. (2007). White Matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder. American Journal of Psychiatry, 164: 823-826.[PDF]
Xiao, J., Xie, S., Ye, J., Liu, H., Gan, X., Gong, G., Jiang, X. (2007). Detection of abnormal visual cortex in children with amblyopia by voxel-based morphometry. American Journal of Ophthalmology, 143: 489-493.[PDF]
Xie, S., Gong, G., Xiao, J., Ye, J., Liu, H., Gan, X., Jiang, Z., Jiang, X. (2007). Underdevelopment of optic radiation in children with amblyopia: A tractography study. American Journal of Ophthalmology, 143: 642-646.[PDF]
Li, L., Ma, N., Li, Z., Tan, L., Liu, J., Gong, G., Shu, N., He, Z., Jiang, T., Xu, L. (2007). Prefrontal white matter abnormalities in young adult with major depressive disorder: A diffusion tensor imaging study. Brain Research, 1168: 124-128.[PDF]
Xie, S., Xiao, J., Gong, G., Zang, Y., Wang, Y., Wu, H., Jiang, X. (2006). Voxel-based detection of white matter abnormalities in mild Alzheimer disease. Neurology, 66: 1845-1849.[PDF]
Hao, Y., Liu, Z., Jiang, T., Gong, G., Liu, H., Tan, L., Kuang, F., Xu, L., Yi, Y., Zhang, Z. (2006). White matter integrity of the whole brain is disrupted in first-episode schizophrenia. Neuroreport, 17: 23-26.[PDF]
He, Y., Zang, Y., Jiang, T., Gong, G., Xie, S., Xiao, J. (2006). Handedness-related functional connectivity using low-frequency blood oxygenation level-dependent fluctuations. Neuroreport, 17: 5-8.[PDF]
Gong, G.#, Jiang, T.#, Zhu, C.#, Zang, Y., Wang, F., Xie, S., Xiao, J., Gu, X. (2005). Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging. Human Brain Mapping, 24: 92-98.[PDF]
Gong, G., Jiang, T., Zhu, C., Zang, Y., He, Y., Xie, S., Xiao, J. (2005). Side and handedness effects on the cingulum from diffusion tensor imaging. Neuroreport, 16: 1701-1705.[PDF]
Xie, S., Xiao, J., Wang, Y., Wu, H., Gong, G., Jiang, X. (2005). Evaluation of bilateral cingulum with tractography in patients with Alzheimer's disease. Neuroreport, 16: 1275-1278.[PDF]