Author

Carlotta Barkhau

University Hospital MünsterORCID 0000-0002-7546-9183Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Hamidreza JamalabadiiD· 2 shared L. FischiD· 2 shared Ramona LeeningsiD· 2 shared Tilo T. J. KircheriD· 2 shared Adrian WroblewskiiD· 1 shared Alexandra WinteriD· 1 shared Andreas JanseniD· 1 shared Anna KrausiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersNeuroscience

Hamidreza JamalabadiORCID

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2 papers

Recent·Most cited

Promise and Limits of Hierarchical Dynamical RNNs for Individualized Resting-State fMRI

Carlotta Barkhau, Keyvan Mahjoory, M. Brenner, Ramona Leenings, C. Pellengahr, L. Fisch, N.R. Winter, Maximilian Konowski, Hamidreza Jamalabadi, Tilo T. J. Kircher, M. Junghoefer, U. Dannlowski, T. Hahn

This paper evaluates hierarchical shallow piecewise-linear RNNs for modeling individual resting-state fMRI, finding they capture functional connectivity but have limited predictive power for phenotypic variables.

Neuroscience Applied · Jan 1, 2026Peer-reviewedNeuroscience

Cross-validation for the estimation of effect size generalizability in mass-univariate brain-wide association studies

Janik Goltermann, Nils Ralf Winter, Marius Gruber, L. Fisch, Maike Frederike Richter, Dominik Grotegerd, Katharina Dohm, Susanne L. Meinert, Elisabeth Johanna Leehr, Joscha Böhnlein, Anna Kraus, Katharina Thiel, Alexandra Winter, Kira Flinkenflügel, Ramona Leenings, , Udo Dannlowski

This paper investigates how cross-validation affects effect size estimation in brain-wide association studies and finds that cross-validation improves generalizability, especially in small samples.

bioRxiv · Mar 29, 2023 · PreprintNeuroscience