Author

Ramona Leenings

University of MünsterORCID 0000-0002-9137-7510Unclaimed 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· 4 Organism:human· 4 Assay:imaging· 4 Approach:statistical model· 4 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Tilo T. J. KircheriD· 3 shared Tim HahniD· 3 shared Andreas JanseniD· 2 shared Baptiste Couvy‐DuchesneiD· 2 shared Carlotta BarkhauiD· 2 shared Dan Joseph SteiniD· 2 shared Dominik GrotegerdiD· 2 shared Evgeny A. OsipoviD· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersNeuroscience

Tilo T. J. KircherORCID

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Author profile →

4 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

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

Laura K. M. Han, Richard Dinga, Ramona Leenings, Tim Hahn, James Howard Cole, Lyubomir I. Aftanas, Alyssa R. Amod, Bianca Besteher, Romain Colle, Emmanuelle Corruble, Baptiste Couvy‐Duchesne, Konstantin V. Danilenko, Paola Fuentes‐Claramonte, Ali Saffet Gönül, Ian H. Gotlib, , Lianne Schmaal

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

Neuroimage Reports · Nov 29, 2022Peer-reviewedNeuroscience

Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

Laura K. M. Han, Richard Dinga, Tim Hahn, Christopher R. K. Ching, Lisa T. Eyler, Lyubomir I. Aftanas, Moji Aghajani, André Aleman, Bernhard Theodor Baune, Klaus Berger, Ivan V. Brak, Geraldo F. Busatto, Angela Carballedo, Colm G. Connolly, Baptiste Couvy‐Duchesne, , Janice M. Fullerton

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

Molecular Psychiatry · May 18, 2020Peer-reviewedNeuroscience