Author

Brittany H. Scheid

University of PennsylvaniaORCID 0000-0002-8528-0085Unclaimed 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· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Brian LittiD· 2 shared Kathryn A. DavisiD· 2 shared Akash R. PattnaikiD· 1 shared Alan R. TempletoniD· 1 shared Alfredo LucasiD· 1 shared Andrew Y. RevelliD· 1 shared Arian AshourvaniD· 1 shared Carlos CruchagaiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Brian LittORCID

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3 papers

Recent·Most cited

Epileptiform activity and seizure risk follow long-term non-linear attractor dynamics

Richard Ewald Rosch, Brittany H. Scheid, Kathryn A. Davis, Brian Litt, Arian Ashourvan

This paper uses HAVOK analysis to model nonlinear seizure dynamics and improves multi-day seizure risk forecasting by identifying short-period forcings.

Advanced Science · Apr 7, 2025Peer-reviewedNeuroscience

A Taxonomy of Seizure Spread Patterns, Speed of Spread, and Associations With Structural Connectivity

Andrew Y. Revell, Akash R. Pattnaik, Erin C. Conrad, Nishant Sinha, Brittany H. Scheid, Alfredo Lucas, John M. Bernabei, John Beckerle, Joel M. Stein, Sandhitsu R. Das, Brian Litt, Kathryn A. Davis

The paper develops deep learning algorithms to quantify seizure spread beyond onset zones and finds associations with structural connectivity and surgical outcomes.

bioRxiv · Oct 24, 2022 · PreprintNeuroscience

Synchronized genetic activities in Alzheimer's brains revealed by heterogeneity-capturing network analysis

Sharlee Climer, Alan R. Templeton, Michael R. Garvin, Daniel Jacobson, Matthew J. Lane, Scott Hulver, Brittany H. Scheid, Zheng Chen, Carlos Cruchaga, Weixiong Zhang

The paper introduces Maestro, a network analysis method that identifies synchronized genetic activities in Alzheimer's disease, finding a pattern associated with AD that is significantly more common in cases than controls.

bioRxiv · Jan 28, 2020 · PreprintBioinformatics