Author

Nishant Sinha

University of PennsylvaniaORCID 0000-0002-2090-4889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alfredo LucasiD· 2 shared Joel M. SteiniD· 2 shared Kathryn A. DavisiD· 2 shared Peter N. TayloriD· 2 shared Sandhitsu R. DasiD· 2 shared Yujiang WangiD· 2 shared Akash R. PattnaikiD· 1 shared Andrew Matthew BlamireiD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Alfredo LucasORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Mapping Whole-Brain Factors of Microstructural Similarity with Diffusion MRI

Marc Jaskir, Alfredo Lucas, Daniel J. Zhou, William K.S. Ojemann, Justin Chin, Mariam Josyula, Nina Petillo, Emily Zhang, Briana Macedo, Nishant Sinha, Tyler M. Moore, Sandhitsu R. Das, Joel M. Stein, Matthew Cieslak, Theodore Daniel Satterthwaite, Kathryn A. Davis

The paper identifies shared dimensions of variation in diffusion MRI statistics and maps spatial patterns of microstructural similarity across the brain.

bioRxiv · Aug 20, 2026 · PreprintNeuroscience

A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis

Yiming Huang, Nishant Sinha, Anil Wipat, Jaume Bacardit

This paper develops a computational method to select a robust gene expression biomarker panel for stress sensing in Bacillus subtilis using machine learning, gene regulatory networks, and co-expression networks.

Synthetic and Systems Biotechnology · Dec 13, 2022Peer-reviewedSystems Biology

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

Node abnormality predicts seizure outcome and relates to long-term relapse after epilepsy surgery

Nishant Sinha, Yujiang Wang, Nádia Moreira da Silva, Anna Miserocchi, Andrew W. McEvoy, Jane de Tisi, Sjoerd B. Vos, Gavin Paul Winston, John Sidney Duncan, Peter N. Taylor

The paper uses structural brain networks and clinical data to predict seizure outcomes and relapse after epilepsy surgery, finding that more abnormal nodes correlate with worse outcomes.

bioRxiv · Sep 1, 2019 · PreprintNeuroscience

White matter microstructural properties in bipolar disorder and its relationship to the spatial distribution of lithium in the brain

Joe Necus, Nishant Sinha, Fiona Elizabeth Smith, Peter E. Thelwall, Carly Jay Flowers, Peter N. Taylor, Andrew Matthew Blamire, David A. Cousins, Yujiang Wang

This study examines how lithium treatment in bipolar disorder affects white matter integrity and finds a positive association between lithium distribution and fractional anisotropy.

Journal of Affective Disorders · Apr 18, 2019Peer-reviewedNeuroscience