Directed Transfer Function Analysis of fMRI Data to Investigate Network Dynamics. - Gopikrishna Deshpande; Stephen LaConte; Scott Peltier; Xiaoping Hu 001 (EMBC, 2006)

Connectivity Analysis of Human Functional MRI Data: From Linear to Nonlinear and Static to Dynamic. - Gopikrishna Deshpande; Stephen LaConte; Scott Peltier; Xiaoping Hu 001 (MIAR, 2006)

Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging data. - Gopikrishna Deshpande; Xiaoping Hu 001; Randall Stilla; Krish Sathian (NeuroImage, 2008)

Object familiarity modulates effective connectivity during haptic shape perception. - Gopikrishna Deshpande; Xiaoping Hu 001; Simon Lacey; Randall Stilla; Krish Sathian (NeuroImage, 2010)

Effect of hemodynamic variability on Granger causality analysis of fMRI. - Gopikrishna Deshpande; Krish Sathian; Xiaoping Hu 001 (NeuroImage, 2010)

Assessing and Compensating for Zero-Lag Correlation Effects in Time-Lagged Granger Causality Analysis of fMRI. - Gopikrishna Deshpande; Krish Sathian; Xiaoping Hu 001 (IEEE Trans. Biomed. Eng., 2010)

Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data. - Gopikrishna Deshpande; Priya Santhanam; Xiaoping Hu 001 (NeuroImage, 2011)

Art for reward's sake: Visual art recruits the ventral striatum. - Simon Lacey; Henrik Hagtvedt; Vanessa M. Patrick; Amy Anderson; Randall Stilla; Gopikrishna Deshpande; Xiaoping Hu 001; João R. Sato; Srinivas Reddy; Krish Sathian (NeuroImage, 2011)

Dual pathways for haptic and visual perception of spatial and texture information. - Krish Sathian; Simon Lacey; Randall Stilla; Gregory O. Gibson; Gopikrishna Deshpande; Xiaoping Hu 001; Stephen LaConte; Christopher Glielmi (NeuroImage, 2011)

Investigating Effective Brain Connectivity from fMRI Data: Past Findings and Current Issues with Reference to Granger Causality Analysis. - Gopikrishna Deshpande; Xiaoping Hu 001 (Brain Connect., 2012)

Phase Synchronization in Brain Networks derived from Correlation between Probabilities of Recurrences in Functional MRI Data. - D. Rangaprakash; Xiaoping Hu 001; Gopikrishna Deshpande (Int. J. Neural Syst., 2013)

Behavioral Relevance of the Dynamics of the Functional Brain Connectome. - Hao Jia; Xiaoping Hu 001; Gopikrishna Deshpande (Brain Connect., 2014)

Brain Networks Shaping Religious Belief. - Dimitrios Kapogiannis; Gopikrishna Deshpande; Frank Krueger; Matthew P. Thornburg; Jordan Henry Grafman (Brain Connect., 2014)

Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity. - Muriah D. Wheelock; Karthik Ramakrishnan Sreenivasan; Kimberly H. Wood; Lawrence W. Ver Hoef; Gopikrishna Deshpande; David C. Knight (NeuroImage, 2014)

Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application. - Guo-Rong Wu 003; Gopikrishna Deshpande; Steven Laureys; Daniele Marinazzo (EMBC, 2015)

Clustering of dynamic functional connectivity features obtained from functional Magnetic Resonance Imaging data. - Vajarala Ashikh; Gopikrishna Deshpande; D. Rangaprakash; D. Narayana Dutt (ICACCI, 2015)

Predicting Purchase Decisions Based on Spatio-Temporal Functional MRI Features Using Machine Learning. - Yunzhi Wang; Veena Chattaraman; Hyejeong Kim; Gopikrishna Deshpande (IEEE Trans. Auton. Ment. Dev., 2015)

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. - Gopikrishna Deshpande; Peng Wang; D. Rangaprakash; Bogdan M. Wilamowski (IEEE Trans. Cybern., 2015)

Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering. - Karthik Ramakrishnan Sreenivasan; Martin Havlicek; Gopikrishna Deshpande (IEEE Trans. Medical Imaging, 2015)

Patterns of effective connectivity during memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults. - Benjamin M. Hampstead; M. Khoshnoodi; W. Yan; Gopikrishna Deshpande; Krish Sathian (NeuroImage, 2016)

Functional connectivity of the left and right hippocampi: Evidence for functional lateralization along the long-axis using meta-analytic approaches and ultra-high field functional neuroimaging. - Jennifer L. Robinson; Nouha Salibi; Gopikrishna Deshpande (NeuroImage, 2016)

Olfactory Network Differences in Master Sommeliers: Connectivity Analysis Using Granger Causality and Graph Theoretical Approach. - Karthik Ramakrishnan Sreenivasan; Xiaowei Zhuang; Sarah J. Banks; Virendra Mishra; Zhengshi Yang; Gopikrishna Deshpande; Dietmar Cordes (Brain Connect., 2017)

Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. - Sreenath P. Kyathanahally; Yun Wang; Vince D. Calhoun; Gopikrishna Deshpande (Frontiers Neuroinformatics, 2017)

A Realistic Framework for Investigating Decision Making in the Brain With High Spatiotemporal Resolution Using Simultaneous EEG/fMRI and Joint ICA. - Sreenath P. Kyathanahally; Ana Franco-Watkins; Xiaoxia Zhang; Vince D. Calhoun; Gopikrishna Deshpande (IEEE J. Biomed. Health Informatics, 2017)

Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning. - Xinyu Zhao; D. Rangaprakash; Bowen Yuan; Thomas S. Denney Jr.; Jeffrey S. Katz; Michael N. Dretsch; Gopikrishna Deshpande (Frontiers Appl. Math. Stat., 2018)

Probabilistic Methods in Computational Neuroscience. - Jing Zhang 010; Tianming Liu 001; Gopikrishna Deshpande (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networks. - Sinan Zhao; D. Rangaprakash; Peipeng Liang; Gopikrishna Deshpande (Brain Informatics, 2019)

Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment. - D. Rangaprakash; Toluwanimi Odemuyiwa; D. Narayana Dutt; Gopikrishna Deshpande (Brain Informatics, 2020)

Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework. - N. Chaitra; P. A. Vijaya; Gopikrishna Deshpande (Biomed. Signal Process. Control., 2020)

DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders. - Mohammed A. Syed; Zhi Yang; D. Rangaprakash; Xiaoping Hu 001; Michael N. Dretsch; Jeffrey S. Katz; Thomas S. Denney; Gopikrishna Deshpande (Neuroinformatics, 2020)

Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. - Da Yan 001; Shengbin Wu; Mirza Tanzim Sami; Abdullateef Ibrahim Almudaifer; Zhe Jiang 001; Haiquan Chen; D. Rangaprakash; Gopikrishna Deshpande; Yueen Ma 001 (IEEE BigData, 2021)

Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. - Yueen Ma 001; Da Yan 001; Cheng Long 001; D. Rangaprakash; Gopikrishna Deshpande (IJCNN, 2021)

Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. - Madhura Ingalhalikar; Sumeet Shinde; Arnav Karmarkar; Archith Rajan; D. Rangaprakash; Gopikrishna Deshpande (IEEE Trans. Biomed. Eng., 2021)

Stress-Induced Changes in Effective Connectivity During Regulation of the Emotional Response to Threat. - Adam M. Goodman; Muriah D. Wheelock; Nathaniel G. Harnett; Elizabeth S. Davis; Sylvie Mrug; Gopikrishna Deshpande; David C. Knight (Brain Connect., 2022)

Functional parcellation of the hippocampus based on its layer-specific connectivity with default mode and dorsal attention networks. - Gopikrishna Deshpande; Xinyu Zhao; Jennifer L. Robinson (NeuroImage, 2022)

Interpretable Deep Learning for Neuroimaging-Based Diagnostic Classification. - Gopikrishna Deshpande; Janzaib Masood; Nguyen Huynh; Thomas S. Denney; Michael N. Dretsch (IEEE Access, 2024)

A Reliable Clinical Decision Support System for Posttraumatic Stress Disorder Using Functional Magnetic Resonance Imaging Data. - Jhilik Bhattacharya; Anika Gupta; Michael N. Dretsch; Thomas S. Denney Jr.; Gopikrishna Deshpande (IEEE Trans. Artif. Intell., 2024)