Author

Daniel Segelcke

University Hospital MünsterORCID 0000-0002-4405-2596Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bruno PradieriD· 3 shared Esther Miriam Pogatzki-ZahniD· 3 shared Cornelius FaberiD· 2 shared Andreas HeßiD· 1 shared Christin KappertiD· 1 shared Daniela Schmidt GarciaiD· 1 shared David Gómez‐VarelaiD· 1 shared Julia Regina SondermanniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersNeuroscience

Bruno PradierORCID

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3 papers

Recent·Most cited

NeuroscienceCurrent Research in NeurobiologyPeer-reviewedNov 22, 2024

Distinct Functional cerebral Hypersensitivity networks during incisional and inflammatory pain in rats

Silke Kreitz, Bruno Pradier, Daniel Segelcke…·Esther Miriam Pogatzki-Zahn

The paper identifies distinct brain network signatures of pain hypersensitivity in rats under incisional and inflammatory pain models using functional MRI and graph-theory analysis.

4 citations

ratimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 1, 2023

Data-driven signal analysis of sensory cortical processing using high-resolution fMRI across different studies

Lucas Plagwitz, Sangcheon Choi, Xin Yu…·Bruno Pradier

This paper develops a data-driven method for analyzing fMRI data across studies, revealing consistent patterns in BOLD time series and demonstrating its generalizability and robustness.

2 citations

imagingmachine learning (classical)

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 7, 2022

Species-specific cutaneous protein signatures upon incision injury and correlation with distinct pain-related phenotypes in humans

Daniel Segelcke, Max van der Burgt, Christin Kappert…·Esther Miriam Pogatzki-Zahn

The paper identifies species-specific cutaneous protein signatures after incision injury and links them to pain-related phenotypes in humans and mice.

DOI 10.1101/2022.03.07.482980

humanmouse

𝕏 PostBluesky