Abigail S. Greene

Orcid: 0000-0001-6011-7903

According to our database1, Abigail S. Greene authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
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Links

On csauthors.net:

Bibliography

2023
Connectome-based machine learning models are vulnerable to subtle data manipulations.
Patterns, July, 2023

2022
Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity.
NeuroImage, 2022

Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth.
J. Cogn. Neurosci., 2022

2021
Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain.
NeuroImage, 2021

2020
There is no single functional atlas even for a single individual: Functional parcel definitions change with task.
NeuroImage, 2020

Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.
J. Cogn. Neurosci., 2020

2019
Ten simple rules for predictive modeling of individual differences in neuroimaging.
NeuroImage, 2019

Combining multiple connectomes improves predictive modeling of phenotypic measures.
NeuroImage, 2019

2018
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Task integration for connectome-based prediction via canonical correlation analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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