Recovery of correlated neuronal sources from EEG: The good and bad ways of using SOBI. - Akaysha C. Tang; Jingyu Liu 001; Matthew T. Sutherland (NeuroImage, 2005)

A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. - Vince D. Calhoun; Tülay Adali; Jingyu Liu 001 (EMBC, 2006)

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. - Akaysha C. Tang; Matthew T. Sutherland; Christopher J. McKinney; Jingyu Liu 001; Yan Wang; Lucas C. Parra; Adam D. Gerson; Paul Sajda (IJCNN, 2006)

Parallel Independent Component Analysis for Multimodal Analysis: Application to FMRI and EEG Data. - Jingyu Liu 001; Vince D. Calhoun (ISBI, 2007)

Extracting principle components for discriminant analysis of FMRI images. - Jingyu Liu 001; Lai Xu 002; Arvind Caprihan; Vince D. Calhoun (ICASSP, 2008)

A constrained coefficient ica algorithm for group difference enhancement. - Jing Sui; Jingyu Liu 001; Lei Wu 013; Andrew Michael; Lai Xu 002; Tülay Adali; Vince D. Calhoun (ICASSP, 2008)

Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls. - Lai Xu 002; Jingyu Liu 001; Tülay Adali; Vince D. Calhoun (ICASSP, 2008)

A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function. - Jingyu Liu 001; Oguz Demirci; Vincent D. Calhoun (IEEE Signal Process. Lett., 2008)

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. - Vince D. Calhoun; Jingyu Liu 001; Tülay Adali (NeuroImage, 2009)

Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls. - Oguz Demirci; Michael C. Stevens 001; Nancy Andreasen; Andrew Michael; Jingyu Liu 001; Tonya White; Godfrey D. Pearlson; Vincent P. Clark; Vince D. Calhoun (NeuroImage, 2009)

Genetic determinants of target and novelty-related event-related potentials in the auditory oddball response. - Jingyu Liu 001; Kent A. Kiehl; Godfrey D. Pearlson; Nora I. Perrone-Bizzozero; Tom Eichele; Vince D. Calhoun (NeuroImage, 2009)

Sparse canonical correlation analysis applied to fMRI and genetic data fusion. - David Boutte; Jingyu Liu 001 (BIBM, 2010)

Correction of copy number variation data using principal component analysis. - Jiayu Chen 003; Jingyu Liu 001; Vince D. Calhoun (BIBM Workshops, 2010)

A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia. - Shashwath A. Meda; Kanchana Jagannathan; Joel Gelernter; Vince D. Calhoun; Jingyu Liu 001; Michael C. Stevens 001; Godfrey D. Pearlson (NeuroImage, 2010)

A pipeline for copy number variation detection based on principal component analysis. - Jiayu Chen 003; Jingyu Liu 001; David Boutte; Vince D. Calhoun (EMBC, 2011)

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. - Jing Sui; Godfrey D. Pearlson; Arvind Caprihan; Tülay Adali; Kent A. Kiehl; Jingyu Liu 001; Jeremy Yamamoto; Vince D. Calhoun (NeuroImage, 2011)

ICA order selection based on consistency: Application to genotype data. - Jiayu Chen 003; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2012)

Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. - Jing Sui; Hao He 002; Jingyu Liu 001; Qingbao Yu; Tülay Adali; Godfrey D. Pearlson; Vince D. Calhoun (EMBC, 2012)

Multifaceted genomic risk for brain function in schizophrenia. - Jiayu Chen 003; Vince D. Calhoun; Godfrey D. Pearlson; Stefan Ehrlich; Jessica A. Turner; Beng-Choon Ho; Thomas H. Wassink; Andrew Michael; Jingyu Liu 001 (NeuroImage, 2012)

A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. - Shashwath A. Meda; Balaji Narayanan 002; Jingyu Liu 001; Nora I. Perrone-Bizzozero; Michael C. Stevens 001; Vince D. Calhoun; David C. Glahn; Li Shen 001; Shannon L. Risacher; Andrew J. Saykin; Godfrey D. Pearlson (NeuroImage, 2012)

Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621]. - Shashwath A. Meda; Balaji Narayanan 002; Jingyu Liu 001; Nora I. Perrone-Bizzozero; Michael C. Stevens 001; Vince D. Calhoun; David C. Glahn; Li Shen 001; Shannon L. Risacher; Andrew J. Saykin; Godfrey D. Pearlson (NeuroImage, 2012)

Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. - Jiayu Chen 003; Vince D. Calhoun; Godfrey D. Pearlson; Nora I. Perrone-Bizzozero; Jing Sui; Jessica A. Turner; Juan R. Bustillo; Stefan Ehrlich; Scott R. Sponheim; José M. Cañive; Beng-Choon Ho; Jingyu Liu 001 (NeuroImage, 2013)

Parallel ICA with multiple references: A semi-blind multivariate approach. - Jiayu Chen 003; Vince D. Calhoun; Alvaro E. Ulloa; Jingyu Liu 001 (EMBC, 2014)

Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. - Yuhui Du; Jingyu Liu 001; Jing Sui; Hao He 002; Godfrey D. Pearlson; Vince D. Calhoun (EMBC, 2014)

Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. - Alvaro Ulloa; Jingyu Liu 001; Victor M. Vergara; Jiayu Chen 003; Vince D. Calhoun; Marios S. Pattichis (EMBC, 2014)

A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images. - Alvaro Ulloa; Paul Rodríguez 001; Jingyu Liu 001; Vince D. Calhoun; Marios S. Pattichis (EMBC, 2014)

A review of multivariate analyses in imaging genetics. - Jingyu Liu 001; Vince D. Calhoun (Frontiers Neuroinformatics, 2014)

A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. - Victor M. Vergara; Alvaro Ulloa; Vince D. Calhoun; David Boutte; Jiayu Chen 003; Jingyu Liu 001 (NeuroImage, 2014)

Parallel group ICA for multimodal biomedical data analyses. - Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun (BIBM, 2015)

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. - Yuhui Du; Godfrey D. Pearlson; Jingyu Liu 001; Jing Sui; Qingbao Yu; Hao He 002; Eduardo Castro; Vince D. Calhoun (NeuroImage, 2015)

Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users. - Victor M. Vergara; Jingyu Liu 001; Eric D. Claus; Kent Hutchison; Vince D. Calhoun (NeuroImage, 2017)

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination. - C. J. Aine; Henry Jeremy Bockholt; Juan R. Bustillo; José M. Cañive; Arvind Caprihan; Charles Gasparovic; Faith M. Hanlon; Jon M. Houck; Rex E. Jung; John Lauriello; Jingyu Liu 001; Andy R. Mayer; et al. (Neuroinformatics, 2017)

Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. - Flor A. Espinoza; Jessica A. Turner; Victor M. Vergara; Robyn L. Miller; Eva Mennigen; Jingyu Liu 001; Maria B. Misiura; Jennifer Ciarochi; Hans J. Johnson; Jeffrey D. Long; Henry Jeremy Bockholt; Vincent A. Magnotta; et al. (Brain Connect., 2018)

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. - Wenxing Hu; Dongdong Lin; Shaolong Cao; Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. - Kuaikuai Duan; Rogers F. Silva; Jiayu Chen 003; Dongdong Lin; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2019)

Association between the oral microbiome and brain resting state connectivity in smokers. - Dongdong Lin; Kent Hutchison; Salvador Portillo; Victor Vegara; Jarrod M. Ellingson; Jingyu Liu 001; Kenneth S. Krauter; Amanda Carroll-Portillo; Vince D. Calhoun (NeuroImage, 2019)

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. - Barnaly Rashid; Jiayu Chen 003; Ishtiaque Rashid; Eswar Damaraju; Jingyu Liu 001; Robyn L. Miller; Oktay Agcaoglu; Theo G. M. van Erp; Kelvin O. Lim; Jessica A. Turner; Daniel H. Mathalon; Judith M. Ford; et al. (NeuroImage, 2019)

Scanning the Issue. - Ian F. Akyildiz; Massimiliano Pierobon; Sasitharan Balasubramaniam; Jiankang Zhang 001; Taihai Chen; Shida Zhong; Jingjing Wang 001; Wenbo Zhang 011; Xin Zuo; Robert G. Maunder; Lajos Hanzo; Jiayu Chen 003; et al. (Proc. IEEE, 2019)

Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. - Jiayu Chen 003; Jingyu Liu 001; Vince D. Calhoun (Proc. IEEE, 2019)

aNy-way Independent Component Analysis. - Kuaikuai Duan; Vince D. Calhoun; Jingyu Liu 001; Rogers F. Silva (EMBC, 2020)

Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. - Haleh Falakshahi; Victor M. Vergara; Jingyu Liu 001; Daniel H. Mathalon; Judith M. Ford; James Voyvodic; Bryon A. Mueller; Aysenil Belger; Sarah C. McEwen; Steven G. Potkin; Adrian Preda; Hooman Rokham; et al. (IEEE Trans. Biomed. Eng., 2020)

N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. - Md Abdur Rahaman; Daniel H. Mathalon; Hyo Jong Lee; Wenhao Jiang; Bryon A. Mueller; Ole A. Andreassen; Ingrid Agartz; Scott R. Sponheim; Andrew R. Mayer; Julia M. Stephen; Rex E. Jung; Jessica A. Turner; et al. (IEEE Trans. Biomed. Eng., 2020)

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. - Thomas DeRamus; Armin Iraji; Zening Fu; Rogers F. Silva; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002; Yuhui Du; Jingyu Liu 001; Vince D. Calhoun (BIBE, 2021)

Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort. - Britny Farahdel; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (BIBM, 2021)

Environmental and genome-wide association study on children anxiety and depression. - Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (BIBM, 2021)

Federation of Brain Age Estimation in Structural Neuroimaging Data. - Sunitha Basodi; Rajikha Raja; Bhaskar Ray; Harshvardhan Gazula; Jingyu Liu 001; Eric Verner; Vince D. Calhoun (EMBC, 2021)

Multimodal Brain Age Prediction with Feature Selection and Comparison. - Bhaskar Ray; Kuaikuai Duan; Jiayu Chen 003; Zening Fu; Pranav Suresh; Sarah Johnson; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2021)

Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD. - Pranav Suresh; Bhaskar Ray; Kuaikuai Duan; Jiayu Chen 003; Gido Schoenmacker; Barbara Franke; Jan K. Buitelaar; Emma Sprooten; Alejandro Arias-Vasquez; Jessica A. Turner; Jingyu Liu 001 (EMBC, 2021)

The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. - Julia M. Stephen; Isabel Solis; J. Janowich; M. Stern; Michaela R. Frenzel; Jacob A. Eastman; Mackenzie S. Mills; Christine M. Embury; N. M. Coolidge; Elizabeth Heinrichs-Graham; Andy R. Mayer; Jingyu Liu 001; et al. (NeuroImage, 2021)

A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. - Yuntong Bai; Yun Gong; Jianchao Bai; Jingyu Liu 001; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2021)

Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. - Zening Fu; Mustafa S. Salman; Jingyu Liu 001; Vince D. Calhoun (EMBC, 2022)

Decentralized Brain Age Estimation Using MRI Data. - Sunitha Basodi; Rajikha Raja; Bhaskar Ray; Harshvardhan Gazula; Anand D. Sarwate; Sergey M. Plis; Jingyu Liu 001; Eric Verner; Vince D. Calhoun (Neuroinformatics, 2022)

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. - Chan Aek Panichvatana; Jiayu Chen 003; Bradley T. Baker; Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2023)

Any-Way Independent Component Analysis with Reference. - Kuaikuai Duan; Rogers F. Silva; Jingyu Liu 001; Oktay Agcaoglu; Vince D. Calhoun (ISBI, 2023)

Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. - Armin Iraji; Jiayu Chen 003; Ashkan Faghiri; Zening Fu; Jingyu Liu 001; Juan R. Bustillo; Tülay Adali; Mukesh Dhamala; Vince D. Calhoun (ISBI, 2023)

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. - Pranav Suresh; Bhaskar Ray; Bishal Thapaliya; Britny Farahdel; Behnam Kazemivash; Jiayu Chen 003; Kuaikuai Duan; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2023)

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. - Riyasat Ohib; Bishal Thapaliya; Pratyush Gaggenapalli; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (CoRR, 2023)

Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Zening Fu; Jingyu Liu 001; Yuhui Du; Elizabeth Mormino; David H. Salat; Vince D. Calhoun; Robyn L. Miller (Brain Connect., 2023)

Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory. - Pranav Nadigapu Suresh; Behnam Kazemivash; Dawn M. Jensen; Vince D. Calhoun; Jingyu Liu 001 (BHI, 2024)

Brain community detection in the general children population. - Britny Farahdel; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2024)

Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks. - Behnam Kazemivash; Pranav Suresh; Jingyu Liu 001; Dong Hye Ye; Vince D. Calhoun (EMBC, 2024)

Graph-based deep learning models in the prediction of early-stage Alzheimers. - Bishal Thapaliya; Zundong Wu; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2024)

Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence. - Ram Sapkota; Bishal Thapaliya; Pranav Suresh; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (ICASSP, 2024)

Replication and Refinement of Brain Age Model for Adolescent Development. - Bhaskar Ray; Jiayu Chen 003; Zening Fu; Pranav Suresh; Bishal Thapaliya; Britny Farahdel; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2024)

A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. - Rekha Saha; Debbrata K. Saha; Md Abdur Rahaman; Zening Fu; Jingyu Liu 001; Vince D. Calhoun (Brain Connect., 2024)

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. - Riyasat Ohib; Bishal Thapaliya; Gintare Karolina Dziugaite; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (CoRR, 2024)

ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. - Bishal Thapaliya; Anh Nguyen; Yao Lu; Tian Xie; Igor Grudetskyi; Fudong Lin; Antonios Valkanas; Jingyu Liu 001; Deepayan Chakraborty; Bilel Fehri (CoRR, 2024)

Efficient federated learning for distributed neuroimaging data. - Bishal Thapaliya; Riyasat Ohib; Eloy Geenjaar; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (Frontiers Neuroinformatics, 2024)

Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N∼8K) Analysis. - Aline Kotoski; Jingyu Liu 001; Robin Morris; Vince D. Calhoun (IEEE Trans. Biomed. Eng., 2024)

Predictive Modeling of Mood Using Functional Network Connectivity: Differential Impacts in Exercise + Smart and Control Groups. - Meenu Ajith; Dawn M. Aycock; Erin B. Tone; Jingyu Liu 001; Maria B. Misiura; Rebecca Ellis; Sergey M. Plis; Tricia Z. King; Vonetta M. Dotson; Vince D. Calhoun (ISBI, 2025)

Linking Multi-Scale Brain Connectivity with Vigilance, Working Memory, and Behavior in Adolescents. - Prerana Bajracharya; Ram Ballem; Jiayu Chen 003; Pablo Andrés-Camazón; Nigar Khasayeva; Vince D. Calhoun; Jingyu Liu 001; Armin Iraji (ISBI, 2025)

Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks. - Qiang Li 046; Jingyu Liu 001; Vince D. Calhoun (ISBI, 2025)

SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity. - Bishal Thapaliya; Esra Akbas; Ram Sapkota; Bhaskar Ray; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2025)

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. - Bishal Thapaliya; Esra Akbas; Jiayu Chen 003; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. - Bishal Thapaliya; Robyn L. Miller; Jiayu Chen 003; Yu-Ping Wang 002; Esra Akbas; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)