Author

Daniel S. Barron

Yale UniversityORCID 0000-0002-0686-6337Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Assay:imaging· 5 Approach:statistical model· 4 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Robert Todd ConstableiD· 3 shared Dustin ScheinostiD· 2 shared John Harrison KrystaliD· 2 shared Mehraveh SalehiiD· 2 shared Abigail S. GreeneiD· 1 shared Amin KarbasiiD· 1 shared Bangshan LiuiD· 1 shared Catherine J. HarmeriD· 1 shared

Activity by Year

2018-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersNeuroscience

Robert Todd ConstableORCID

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Author profile →

5 papers

Recent·Most cited

Ketamine Effects on Energy Metabolism, Functional Connectivity and Working Memory in Healthy Humans

Naomi R Driesen, Péter Hermán, Margaret A. Rowland, Garth J. Thompson, Maolin Qiu, George Shiyao He, Sarah Kathryn Fineberg, Daniel S. Barron, Lars E. Helgeson, Cheryl Lacadie, Robert M. Chow, Ralitza V. Gueorguieva, Teo-Carlo Straun, John Harrison Krystal, Fahmeed Hyder

This study examines how subanesthetic ketamine affects brain metabolism, functional connectivity, and working memory in healthy humans using multimodal fMRI.

bioRxiv · Feb 21, 2023 · PreprintNeuroscience

State-specific individualized functional networks form a predictive signature of brain state

Mehraveh Salehi, Amin Karbasi, Daniel S. Barron, Dustin Scheinost, Robert Todd Constable

The paper develops a state- and subject-specific functional network parcellation method to predict brain state with up to 97% accuracy using fMRI data.

NeuroImage · Sep 28, 2019Peer-reviewedNeuroscience

Task-Based Functional Connectomes Predict Cognitive Phenotypes Across Psychiatric Disease

Daniel S. Barron, Siyuan Gao, Javid Dadashkarimi, Abigail S. Greene, Marisa N. Spann, Stephanie Noble, Evelyn M. R. Lake, John Harrison Krystal, Robert Todd Constable, Dustin Scheinost

The paper uses task-based functional MRI connectomes to predict cognitive phenotypes across psychiatric diseases and shows differences in connectomes by disease category and symptom severity.

bioRxiv · May 16, 2019 · PreprintNeuroscience

Altered brain function in anorexia nervosa and bulimia nervosa: A hierarchical series of task-based fMRI meta-analyses

Bangshan Liu, Jin Liu, Yumeng Ju, Mi Wang, Tiebang Liu, Yan Zhang, Lingjiang Li, Marc Nicholas Potenza, Daniel S. Barron

This paper conducts a meta-analysis of fMRI studies on anorexia nervosa and bulimia nervosa, finding limited convergence in brain activity across different tasks and patient groups.

bioRxiv · Feb 14, 2019 · PreprintNeuroscience

Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

Daniel S. Barron, Mehraveh Salehi, Michael D Browning, Catherine J. Harmer, Robert Todd Constable, Eugene Paul Duff

The paper uses fMRI data to predict emotional valence and pharmacologic effects of antidepressants, finding consistent emotional valence patterns but inconsistent drug-placebo discrimination.

NeuroImage Clinical · Jan 1, 2018Peer-reviewedNeuroscience