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How tasks change whole-brain functional organization to reveal brain-phenotype relationships
Abigail S Greene, Siyuan Gao, Stephanie Noble, Dustin Scheinost, R Todd Constable
Cell Reports, 2020
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Distributed patterns of functional connectivity predict working memory performance in novel healthy and memory-impaired individuals
Emily W Avery, Kwangsun Yoo, Monica D Rosenberg, Abigail S Greene, Siyuan Gao, Duk L Na, Dustin Scheinost, Todd R Constable, Marvin M Chun
Journal of Cognitive Neuroscience, 2020
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Combining Multiple Connectomes Improves Predictive Modeling of Phenotypic Measures
Siyuan Gao, Abigail Greene, R. Todd Constable, Dustin Scheinost
NeuroImage, 2019
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Ten Simple Rules for Predictive Modeling of Individual Differences in Neuroimaging
Dustin Scheinost, Stephanie Noble, Corey Horien, Abigail S Greene, Evelyn Lake, Mehraveh Salehi, Siyuan Gao, Xilin Shen, David O'Connor, Daniel S Barron, Sarah W Yip, Monica D Rosenberg, R. Todd Constable
NeuroImage, 2019
Download: [link]
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Task-induced brain state manipulation improves prediction of individual traits
Abigail Greene, Siyuan Gao, R. Todd Constable, Dustin Scheinost
Nature Communications, 2018
Download: [link]
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RCLens: Interactive Rare Category Exploration and Identification
Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao
IEEE Transactions on Visualization and Computer Graphics, 2017 (oral presentation)
Download: [link] [slides]
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Adaptively Exploring Population Mobility Patterns in Flow Visualization
Fei Wang, Wei Chen, Ye Zhao, Tianyu Gu, Siyuan Gao, Hujun Bao
IEEE Transactions on Intelligent Transportation Systems, 2017
Download: [link]
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Poincare embedding reveals edge-based functional networks of the brain
Siyuan Gao, Gal Mishne, Dustin Scheinost
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
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Inference of Dynamic Graph Changes for Functional Connectome
Dingjue Ji, Junwei Lu, Yiliang Zhang, Siyuan Gao, Hongyu Zhao
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
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A Mass Multivariate, Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences
Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost
3rd Workshop on Connectomics in NeuroImaging (CNI), 2019
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Combining Multiple Behavioral Measures and Multiple Connectomes via Multiway Canonical Correlation Analysis
Siyuan Gao, Xilin Shen, Todd Constable, Dustin Scheinost
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
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A hierarchical manifold learning framework for high-dimensional brain imaging data
Siyuan Gao, Gal Mishne, Dustin Scheinost
International Conference on Information Processing in Medical Imaging (IPMI), 2019
Download: [link] [code]
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Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks
Siyuan Gao, Gal Mishne, Dustin Scheinost
Conference on Cognitive Computational Neuroscience (CCN), 2018
Download: [link]
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Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models
Siyuan Gao, Abigail Greene, R. Todd Constable, Dustin Scheinost
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018
Download: [link] [code]
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Taskāinduced brain state manipulation improves prediction of individual traits
Abigail Greene, Siyuan Gao, R. Todd Constable, Dustin Scheinost
Organization for Human Brain Mapping (OHBM) Annual Meeting, Singapore, 2018 (poster)
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Task Integration For Connectome-based Prediction Via Canonical Correlation Analysis
Siyuan Gao, Abigail Greene, R. Todd Constable, Dustin Scheinost
IEEE International Symposium on Biomedical Imaging (ISBI), 2018
Download: [link]
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Brain state perturbation improves connectome-based predictive modeling of related behaviors
Abigail Greene, Siyuan Gao, R. Todd Constable, Dustin Scheinost
Society for Neuroscience(SfN), 2017
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Connectome-based predictive modeling: the impact of brain state and sex in a developmental cohort
Abigail Greene, Siyuan Gao, R. Todd Constable, Dustin Scheinost
Flux Congress, 2017