A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning. - Tian Ge; Keith M. Kendrick; Jianfeng Feng (PLoS Comput. Biol., 2009)

Find synaptic topology from spike trains. - Tian Ge; Wenlian Lu; Jianfeng Feng (IJCNN, 2010)

Granger Causality: Its Foundation and Applications in Systems Biology. - Tian Ge; Jianfeng Feng (Handbook of Research on Computational and Systems Biology, 2011)

Granger causality with signal-dependent noise. - Qiang Luo; Tian Ge; Jianfeng Feng (NeuroImage, 2011)

Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing. - Tian Ge; Jianfeng Feng; Fabian Grabenhorst; Edmund T. Rolls (NeuroImage, 2012)

Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. - Tian Ge; Jianfeng Feng; Derrek P. Hibar; Paul M. Thompson; Thomas E. Nichols (NeuroImage, 2012)

Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems. - Tian Ge; Wei Lin 003; Jianfeng Feng (IEEE Trans. Autom. Control., 2012)

Genetics of the connectome. - Paul M. Thompson; Tian Ge; David C. Glahn; Neda Jahanshad; Thomas E. Nichols (NeuroImage, 2013)

Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise. - Qiang Luo; Tian Ge; Fabian Grabenhorst; Jianfeng Feng; Edmund T. Rolls (PLoS Comput. Biol., 2013)

Imaging genetics - towards discovery neuroscience. - Tian Ge; Gunter Schumann; Jianfeng Feng (Quant. Biol., 2013)

Some novel models and methods for neuroimaging data analysis. - Tian Ge (2013)

Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction. - Bernd Taschler; Tian Ge; Kerstin Bendfeldt; Nicole Müller-Lenke; Timothy D. Johnson; Thomas E. Nichols (MICCAI (2), 2014)

A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. - Tian Ge; Thomas E. Nichols; Debashis Ghosh; Elizabeth C. Mormino; Jordan W. Smoller; Mert R. Sabuncu (NeuroImage, 2015)

Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration. - Tong Tong 001; Iman Aganj; Tian Ge; Jonathan R. Polimeni; Bruce Fischl (NeuroImage, 2017)

Global signal regression strengthens association between resting-state functional connectivity and behavior. - Jingwei Li 003; Ru Kong; Raphaël Liégeois; Csaba Orban; Yanrui Tan; Nanbo Sun; Avram J. Holmes; Mert R. Sabuncu; Tian Ge; B. T. Thomas Yeo (NeuroImage, 2019)