Author

Stephanie Fountain‐Zaragoza

Medical University of South Carolina

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2

Frequent Co-Authors

Heena R. ManglaniiD· 2 shared Ruchika Shaurya PrakashiD· 2 shared Anita ShankariD· 1 shared Jacqueline A. NicholasiD· 1 shared Monica D. RosenbergiD· 1 shared Rebecca AndridgeiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersNeuroscience

Heena R. ManglaniORCID

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2 papers

Recent·Most cited

NeuroscienceBrain ConnectivityPeer-reviewedJul 26, 2021

Employing connectome-based models to predict working memory in multiple sclerosis

Heena R. Manglani, Stephanie Fountain‐Zaragoza, Anita Shankar…·Ruchika Shaurya Prakash

This paper uses connectome-based predictive modeling to predict working memory in multiple sclerosis patients, finding that models from healthy adults perform better than those trained on MS data.

16 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 2, 2021

Defining a Connectome-Based Predictive Model of Attentional Control in Aging

Stephanie Fountain‐Zaragoza, Heena R. Manglani, Monica D. Rosenberg…·Ruchika Shaurya Prakash

The paper develops a connectome-based predictive model of attentional control in aging using functional brain networks and validates it across independent samples.

1 citation

humanimaging

𝕏 PostBluesky