Author

Paul M. Cinciripini

The University of Texas MD Anderson Cancer CenterORCID 0000-0003-2877-9928Unclaimed 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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Research Focus:benchmarking· 3 Assay:electronic health records· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Francesco VersaceiD· 3 shared Jason D. RobinsoniD· 2 shared Jennifer A. MinnixiD· 2 shared Nicola SambucoiD· 2 shared George KypriotakisiD· 1 shared Kyla David GibneyiD· 1 shared Margaret M. BradleyiD· 1 shared Menton M. DeweeseiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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3 shared papersNeuroscience

Francesco VersaceORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 21, 2026

Emotion regulation or dual task? Dissociation of neural and behavioral measures

Nicola Sambuco, Francesco Versace, Paul M. Cinciripini…·Jennifer A. Minnix

The paper investigates whether LPP modulation during emotion regulation reflects volitional control or cognitive load, finding evidence supporting the latter.

DOI 10.64898/2026.04.17.719189

humanelectronic health records

𝕏 PostBluesky

NeurosciencePsychophysiologyPeer-reviewedOct 31, 2022

Electrophysiological normative responses to emotional, neutral, and cigarette-related images.

Francesco Versace, Nicola Sambuco, Menton M. Deweese, Paul M. Cinciripini

The paper provides electrophysiological normative responses for emotional images to create reliable probes for studying affective systems.

16 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencePsychophysiologyPeer-reviewedOct 14, 2019

Estimating statistical power for event-related potential studies using the late positive potential

Kyla David Gibney, George Kypriotakis, Paul M. Cinciripini…·Francesco Versace

This study uses Monte Carlo simulations to investigate how trial number, subject number, and effect size influence statistical power in LPP ERP studies, finding higher power with more subjects and trials and lower power in between-subjects designs.

36 citations

electronic health recordsstatistical model

𝕏 PostBluesky