Author

Moran Gilat

KU LeuvenORCID 0000-0002-0072-4637Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Aiping LiuiD· 1 shared Ajay S. KuraniiD· 1 shared Aldo QuattroneiD· 1 shared Alessandro TessitoreiD· 1 shared Alessia SaricaiD· 1 shared Alice NieuwboeriD· 1 shared Anke Van RoyiD· 1 shared Antonio CerasaiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperNeuroscience

Aiping LiuORCID

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3 papers

Recent·Most cited

No effect of anodal high-definition transcranial direct current stimulation during motor sequence learning in older people

Silke Kerstens, Sanne Broeder, Moran Gilat, Evelien Nackaerts, Britt Vandendoorent, Alice Nieuwboer, Jean‐Jacques Orban de Xivry

This study investigates the effect of conventional and high-definition tDCS on motor sequence learning in older adults, finding no significant enhancement in learning or retention.

GeroScience · Aug 29, 2026Peer-reviewedNeuroscience

Impaired online and enhanced offline motor sequence learning in individuals with Parkinson's disease

Anke Van Roy, Xiaojuan Dan, Letizia Micca, Moran Gilat, Piu Chan, Julien Doyon, Geneviève Albouy, Bradley R. King

This study investigates motor sequence learning in Parkinson's disease patients, finding impaired online learning but enhanced micro-offline learning, suggesting hippocampal compensation for striatal dysfunction.

Journal of Neuroscience · Jul 31, 2025Peer-reviewedNeuroscience

Small effect size leads to reproducibility failure in resting-state fMRI studies

Xize Jia, Na Zhao, Barek Barton, Roxana Gabriela Burciu, Nicolas Carrière, Antonio Cerasa, Boyu Chen, Jun Chen, Stephen A. Coombes, Luc Defebvre, Christine Delmaire, Kathy Dujardin, Fabrizio Esposito, Guoguang Fan, Federica Di Nardo, , Yu‐Feng Zang

This paper shows that small effect sizes in resting-state fMRI studies lead to reproducibility issues, even after multiple comparison corrections, and recommends meta-analysis of un-thresholded data for better results.

bioRxiv · Mar 20, 2018 · PreprintNeuroscience