Neural Mechanisms for Integrating Information from Multiple Senses. - Barry E. Stein; Paul J. Laurienti; Terrence R. Stanford; Mark T. Wallace (IEEE International Conference on Multimedia and Expo (I), 2000)

Dietary Caffeine Consumption Modulates fMRI Measures. - Paul J. Laurienti; Aaron S. Field; Jonathan H. Burdette; Joseph A. Maldjian; Yi-Fen Yen; Dixon M. Moody (NeuroImage, 2002)

The single-epoch fMRI design: validation of a simplified paradigm for the collection of subjective ratings. - Tetsuo Koyama; John G. McHaffie; Paul J. Laurienti; Robert C. Coghill (NeuroImage, 2003)

An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. - Joseph A. Maldjian; Paul J. Laurienti; Robert A. Kraft; Jonathan H. Burdette (NeuroImage, 2003)

Precentral gyrus discrepancy in electronic versions of the Talairach atlas. - Joseph A. Maldjian; Paul J. Laurienti; Jonathan H. Burdette (NeuroImage, 2004)

Nonrigid Registration of Images with Different Topologies using Embedded Maps. - Christopher L. Wyatt; Paul J. Laurienti (EMBC, 2006)

Estimation of false discovery rates for wavelet-denoised statistical parametric maps. - Srikanth Ryali; Ramon Casanova; Paul J. Laurienti; Ann M. Peiffer; Joseph A. Maldjian (NeuroImage, 2006)

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. - Ramon Casanova; Ryali Srikanth; Aaron H. Baer; Paul J. Laurienti; Jonathan H. Burdette; Satoru Hayasaka; Lynn Flowers; Frank Wood; Joseph A. Maldjian (NeuroImage, 2007)

Power and sample size calculation for neuroimaging studies by non-central random field theory. - Satoru Hayasaka; Ann M. Peiffer; Christina E. Hugenschmidt; Paul J. Laurienti (NeuroImage, 2007)

Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults. - Ann M. Peiffer; Joseph A. Maldjian; Paul J. Laurienti (Int. J. Biomed. Imaging, 2008)

The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis. - Ramon Casanova; Srikanth Ryali; John T. Serences; Lucie Yang; Robert A. Kraft; Paul J. Laurienti; Joseph A. Maldjian (NeuroImage, 2008)

Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS. - Joseph A. Maldjian; Aaron H. Baer; Robert A. Kraft; Paul J. Laurienti; Jonathan H. Burdette (Neuroinformatics, 2009)

Reproducibility of Graph Metrics in fMRI Networks. - Qawi K. Telesford; Ashley R. Morgan; Satoru Hayasaka; Sean L. Simpson; William Barret; Robert A. Kraft; Jennifer L. Mozolic; Paul J. Laurienti (Frontiers Neuroinformatics, 2010)

Applying capacity analyses to psychophysical evaluation of multisensory interactions. - Christina E. Hugenschmidt; Satoru Hayasaka; Ann M. Peiffer; Paul J. Laurienti (Inf. Fusion, 2010)

Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data. - Satoru Hayasaka; Paul J. Laurienti (NeuroImage, 2010)

The Ubiquity of Small-World Networks. - Qawi K. Telesford; Karen E. Joyce; Satoru Hayasaka; Jonathan H. Burdette; Paul J. Laurienti (Brain Connect., 2011)

The Brain as a Complex System: Using Network Science as a Tool for Understanding the Brain. - Qawi K. Telesford; Sean L. Simpson; Jonathan H. Burdette; Satoru Hayasaka; Paul J. Laurienti (Brain Connect., 2011)

Assessing the consistency of community structure in complex networks - Matthew Steen; Satoru Hayasaka; Karen E. Joyce; Paul J. Laurienti (CoRR, 2011)

Ethics in 15 min per Week. - Ann M. Peiffer; Christina E. Hugenschmidt; Paul J. Laurienti (Sci. Eng. Ethics, 2011)

An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks. - Sean L. Simpson; Malaak Nasser Moussa; Paul J. Laurienti (NeuroImage, 2012)

Erratum to "An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks" [NeuroImage 60/2 (2012) 1117-1126]. - Sean L. Simpson; Malaak Nasser Moussa; Paul J. Laurienti (NeuroImage, 2012)

Complexity in a brain-inspired agent-based model. - Karen E. Joyce; Paul J. Laurienti; Satoru Hayasaka (Neural Networks, 2012)

Registration of Images With Varying Topology Using Embedded Maps. - Xiaoxing Li; Xiaojing Long; Paul J. Laurienti; Christopher L. Wyatt (IEEE Trans. Medical Imaging, 2012)

A permutation testing framework to compare groups of brain networks. - Sean L. Simpson; Robert G. Lyday; Satoru Hayasaka; Anthony P. Marsh; Paul J. Laurienti (Frontiers Comput. Neurosci., 2013)

Defining nodes in complex brain networks. - Matthew Lawrence Stanley; Malaak Nasser Moussa; Brielle Paolini; Robert G. Lyday; Jonathan H. Burdette; Paul J. Laurienti (Frontiers Comput. Neurosci., 2013)

The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack. - Karen E. Joyce; Satoru Hayasaka; Paul J. Laurienti (PLoS Comput. Biol., 2013)

Age-Related Differences in Advantageous Decision Making Are Associated with Distinct Differences in Functional Community Structure. - Malaak Nasser Moussa; Michael J. Wesley; Linda J. Porrino; Satoru Hayasaka; Antoine Bechara; Jonathan H. Burdette; Paul J. Laurienti (Brain Connect., 2014)

Functional Brain Networks Formed Using Cross-Sample Entropy Are Scale Free. - Walter S. Pritchard; Paul J. Laurienti; Jonathan H. Burdette; Satoru Hayasaka (Brain Connect., 2014)

A two-part mixed-effects modeling framework for analyzing whole-brain network data. - Sean L. Simpson; Paul J. Laurienti (NeuroImage, 2015)

Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses. - Sean L. Simpson; Paul J. Laurienti (Brain Connect., 2016)

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. - Guorong Wu 001; Brent C. Munsell; Paul J. Laurienti; Moo K. Chung (CNI@MICCAI, 2018)

Tensor-based vs. matrix-based rank reduction in dynamic brain connectivity. - Fatemeh Mokhtari; Rhiannon E. Mayhugh; Christina E. Hugenschmidt; Walter Jack Rejeski; Paul J. Laurienti (Image Processing, 2018)

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. - Fatemeh Mokhtari; Walter Jack Rejeski; Yingying Zhu 004; Guorong Wu 001; Sean L. Simpson; Jonathan H. Burdette; Paul J. Laurienti (NeuroImage, 2018)

Revealing Functional Connectivity by Learning Graph Laplacian. - Minjeong Kim; Amr Moussa; Peipeng Liang; Daniel Kaufer; Paul J. Laurienti; Guorong Wu 001 (MICCAI (3), 2019)

Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. - Minjeong Kim; Xiaofeng Zhu 001; Zi-Wen Peng; Peipeng Liang; Daniel Kaufer; Paul J. Laurienti; Guorong Wu 001 (MICCAI (3), 2019)

Dynamic Functional Magnetic Resonance Imaging Connectivity Tensor Decomposition: A New Approach to Analyze and Interpret Dynamic Brain Connectivity. - Fatemeh Mokhtari; Paul J. Laurienti; Walter Jack Rejeski; Grey Ballard (Brain Connect., 2019)

Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state. - Fatemeh Mokhtari; Milad I. Akhlaghi; Sean L. Simpson; Guorong Wu 001; Paul J. Laurienti (NeuroImage, 2019)

A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks. - Anqi Chen; Defu Yang; Chenggang Yan 001; Zi-Wen Peng; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (ISBI, 2020)

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. - Jiazhou Chen; Guoqiang Han; Hongmin Cai; Junbo Ma; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2020)

Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. - Yi Lin; Jia Hou; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2020)

Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. - Zhuobin Huang; Hongmin Cai; Tingting Dan; Yi Lin; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2021)

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. - Ramon Casanova; Robert G. Lyday; Mohsen Bahrami; Jonathan H. Burdette; Sean L. Simpson; Paul J. Laurienti (Frontiers Neuroinformatics, 2021)

Joint hub identification for brain networks by multivariate graph inference. - Defu Yang; Xiaofeng Zhu 001; Chenggang Yan 001; Zi-Wen Peng; Maria Bagonis; Paul J. Laurienti; Martin Styner; Guorong Wu 001 (Medical Image Anal., 2021)

Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks. - Yi Lin; Defu Yang; Jia Hou; Chengang Yan; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (NeuroImage, 2021)

Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. - Jiazhou Chen; Guoqiang Han; Hongmin Cai; Defu Yang; Paul J. Laurienti; Martin Styner; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2021)

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. - Tingting Dan; Hongmin Cai; Zhuobin Huang; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (MICCAI (8), 2022)

Altered default mode network associated with pesticide exposure in Latinx children from rural farmworker families. - Mohsen Bahrami; Sean L. Simpson; Jonathan H. Burdette; Robert G. Lyday; Sara A. Quandt; Haiying Chen; Thomas A. Arcury; Paul J. Laurienti (NeuroImage, 2022)

Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold. - Defu Yang; Jiazhou Chen; Chenggang Yan 001; Minjeong Kim; Paul J. Laurienti; Martin Styner; Guorong Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. - Tingting Dan; Zhuobin Huang; Hongmin Cai; Paul J. Laurienti; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2022)

HoloBrain: A Harmonic Holography for Self-organized Brain Function. - Huan Liu 017; Tingting Dan; Zhuobin Huang; Defu Yang; Won Hwa Kim; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (IPMI, 2023)

Brain Network Analysis: A Review on Multivariate Analytical Methods. - Mohsen Bahrami; Paul J. Laurienti; Heather Shappell; Sean L. Simpson (Brain Connect., 2023)

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Hyuna Cho; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (CoRR, 2024)