Abigail S. Greene

According to our database, Abigail S. Greene authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Connectome-based machine learning models are vulnerable to subtle data manipulations.

Matthew Rosenblatt, Raimundo X. Rodriguez, Margaret L. Westwater, Wei Dai, Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost

Patterns, July, 2023

2022

Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity.

Link Tejavibulya, Hannah Peterson, Abigail S. Greene, Siyuan Gao, Max Rolison, Stephanie Noble, Dustin Scheinost

NeuroImage, 2022

Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth.

Ka I. Ip, Lucinda M. Sisk, Corey Horien, May I. Conley, Kristina M. Rapuano, Monica D. Rosenberg, Abigail S. Greene, Dustin Scheinost, R. Todd Constable, B. J. Casey, Arielle Baskin-Sommers, Dylan G. Gee

J. Cogn. Neurosci., 2022

2021

Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain.

Wenjing Luo, Abigail S. Greene, R. Todd Constable

NeuroImage, 2021

2020

There is no single functional atlas even for a single individual: Functional parcel definitions change with task.

Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable

NeuroImage, 2020

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, R. Todd Constable, Marvin M. Chun

J. Cogn. Neurosci., 2020

2019

Ten simple rules for predictive modeling of individual differences in neuroimaging.

Dustin Scheinost, Stephanie Noble, Corey Horien, Abigail S. Greene, Evelyn M. R. Lake, Mehraveh Salehi, Siyuan Gao, Xilin Shen, David O'Connor, Daniel S. Barron, Sarah W. Yip, Monica D. Rosenberg, R. Todd Constable

NeuroImage, 2019

Combining multiple connectomes improves predictive modeling of phenotypic measures.

Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost

NeuroImage, 2019

2018

Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models.

Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Task integration for connectome-based prediction via canonical correlation analysis.

Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018