Author

Inga Schnuerer

University of Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Erich SeifritziD· 2 shared Henrik WalteriD· 2 shared Isabel M. BerwianiD· 2 shared Julia G. WenzeliD· 2 shared Klaas Enno StephaniD· 2 shared Leonie Kuehn· 2 shared Quentin J. M. HuysiD· 2 shared Ilya Milos VeeriD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Erich SeifritzORCID

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2 papers

Recent·Most cited

The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

Isabel M. Berwian, Julia G. Wenzel, Leonie Kuehn, Inga Schnuerer, Lars Kasper, Ilya Milos Veer, Erich Seifritz, Klaas Enno Stephan, Henrik Walter, Quentin J. M. Huys

The paper investigates how changes in resting-state functional connectivity predict depression relapse after antidepressant discontinuation, finding that increased connectivity between the dorsolateral prefrontal cortex and parietal cortex is associated with relapse risk.

Scientific Reports · Dec 18, 2020Peer-reviewedNeuroscience

Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting

Isabel M. Berwian, Julia G. Wenzel, Leonie Kuehn, Inga Schnuerer, Erich Seifritz, Klaas Enno Stephan, Henrik Walter, Quentin J. M. Huys

The paper evaluates predictors of relapse after antidepressant discontinuation using clinical data and finds that standard clinical variables have low predictive power.

Biological Psychiatry · May 1, 2020Peer-reviewedNeuroscience