Author

Joshua Cape

University of Wisconsin–MadisonORCID 0000-0002-1471-1650Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Konasale M. R. PrasadiD· 3 shared Nicholas D. TheisiD· 3 shared Jonathan E. RubiniD· 2 shared Jyotika BahugunaiD· 2 shared Satish IyengariD· 2 shared Ella O’Rourke· 1 shared Jonathan Rubin A· 1 shared Ouyang Bowei· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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3 shared papersNeuroscience

Konasale M. R. PrasadORCID

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3 papers

Recent·Most cited

NeuroscienceNeuropsychopharmacologyPeer-reviewedSep 12, 2026

Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses

Nicholas D. Theis, Jonathan Rubin A, Ella O’Rourke…·Konasale M. R. Prasad

The paper examines dynamic brain network changes in early psychoses using maximum entropy models, finding temporally unstable network configurations linked to cognitive deficits.

DOI 10.1038/s41386-026-02544-6

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintJan 23, 2024

Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study

Nicholas D. Theis, Jyotika Bahuguna, Jonathan E. Rubin…·Konasale M. R. Prasad

This study uses maximum entropy modeling to analyze resting state fMRI data and identifies diagnostically distinct energy distributions across psychiatric disorders.

3 citations

humanimaging

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NeuroscienceBrain ConnectivityPeer-reviewedMay 11, 2023

Threshold Selection for Brain Connectomes

Nicholas D. Theis, Jonathan E. Rubin, Joshua Cape…·Konasale M. R. Prasad

This paper introduces an objective function thresholding method for brain connectomes, showing it outperforms existing methods in preserving network structure and clustering features.

17 citations

statistical modelbenchmarking

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