Author

Christian Gerloff

Primary ORCID profile (0000-0003-2718-2089 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Christian GerloffiD4 papers · Jülich Aachen Research Alliance

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alvaro Pascual-Leone· 1 shared Andrea Antal· 1 shared Arnaud Messé· 1 shared Bastian ChengiD· 1 shared Claus Hilgetag· 1 shared Edwin M Robertson· 1 shared Emiliano SantarnecchiiD· 1 shared Eric M Wassermann· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alvaro Pascual-Leone

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2 papers

Recent·Most cited

Effects of tDCS on motor learning and memory formation: a consensus and critical position paper

Ethan R Buch, Emiliano Santarnecchi, Andrea Antal, Jan Born, Pablo A Celnik, Joseph Classen, Christian Gerloff, Mark Hallett, Friedhelm C Hummel, Michael A Nitsche, Alvaro Pascual-Leone, Walter J Paulus, Janine Reis, Edwin M Robertson, John C Rothwell, , Leonardo G Cohen

This paper reviews tDCS studies on motor learning and memory, highlighting moderate effects, variability, and the need for improved reproducibility and standardization.

bioRxiv · Jul 18, 2016Neuroscience

Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path

Holger Finger, Marlene Bönstrup, Bastian Cheng, Arnaud Messé, Claus Hilgetag, Götz Thomalla, Christian Gerloff, Peter König

This paper models functional brain networks from structural connectivity data and compares them to EEG-derived networks, finding that structural connectivity explains a significant portion of functional variance.

bioRxiv · Mar 10, 2016Neuroscience