Author

Jens Volkmar Schwarzbach

University of RegensburgORCID 0000-0002-0303-6979Unclaimed 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· 4 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Marlene TahedliD· 2 shared Seth M. LevineiD· 2 shared Gustavo DecoiD· 1 shared Miriam KumpfiD· 1 shared Morten L. KringelbachiD· 1 shared Nina LisofskyiD· 1 shared Patricio Donnelly Kehoe· 1 shared Philipp SeideliD· 1 shared

Activity by Year

2017-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Marlene TahedlORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Supracategorical fear information revealed by aversively conditioning multiple categories

Seth M. Levine, Miriam Kumpf, Rainer Rupprecht, Jens Volkmar Schwarzbach

This study investigates fear-generalization by conditioning multiple categories and finds increased similarity in brain activity patterns across and within conditioned categories.

Cognitive Neuroscience · Nov 1, 2020Peer-reviewedNeuroscience

An updated and extended atlas for corresponding brain activation during task and rest

Marlene Tahedl, Jens Volkmar Schwarzbach

The paper updates and extends functional brain network templates to improve spatial accuracy and compatibility with modern neuroimaging data.

bioRxiv · Apr 1, 2020 · PreprintNeuroscience

Temporal signal-to-noise changes in combined multiband- and slice-accelerated echo-planar imaging with a 20- and 64-channel coil

Philipp Seidel, Seth M. Levine, Marlene Tahedl, Jens Volkmar Schwarzbach

The paper evaluates how temporal signal-to-noise ratio (tSNR) changes with different acceleration techniques in EPI, showing that multiband acceleration has less impact on tSNR than slice acceleration.

Scientific Reports · Mar 26, 2020Peer-reviewedNeuroscience

Consistent local dynamics in the brain across sessions are revealed by whole brain modeling of resting state activity

Patricio Donnelly Kehoe, Victor M. Saenger, Nina Lisofsky, Simone Kühn, Morten L. Kringelbach, Jens Volkmar Schwarzbach, Gustavo Deco

This paper develops a whole-brain modeling technique to estimate individual brain dynamics from resting state fMRI, showing consistent local dynamics across sessions with minimal scanning time.

bioRxiv · Jan 30, 2017 · PreprintNeuroscience