Author

Andrea Lohse

Stiftung Charité

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· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:imaging· 3 Research Focus:benchmarking· 2 Research Focus:cell-cell communication· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1

Frequent Co-Authors

Annika E. SpottkeiD· 3 shared Björn Hendrik SchottiD· 3 shared Christoph LaskeiD· 3 shared Eike Jakob SpruthiD· 3 shared Emrah DüzeliD· 3 shared Enise Irem IncesoyiD· 3 shared Frank JesseniD· 3 shared Frederic BrosseroniD· 3 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Annika E. SpottkeORCID

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Author profile →

3 papers

Recent·Most cited

Dysfunction of the episodic memory network in the Alzheimer's disease cascade

René Lattmann, Niklas Vockert, Jose Bernal, Judith Wesenberg, Yanin Suksangkharn, Renat Yakupov, Hartmut Schütze, Wenzel Glanz, Enise Irem Incesoy, Michaela Butryn, Falk Lüsebrink, Matthias Schmid, Melina Stark, Luca Kleineidam, Annika E. Spottke, , Emrah Düzel

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

Nature Communications · Apr 17, 2026Peer-reviewedNeuroscience

SMAS: Structural MRI-Based AD Score using Bayesian VAE

Aditya Nemali, José Bernal, Renat Yakupov, D. Singh, Martin Dyrba, Enise Irem Incesoy, S. Mukherjee, Oliver Peters, Julian Hellmann‐Regen, Ersin Ersözlü, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Andrea Lohse, , Gabriel Ziegler

This paper introduces SMAS, a Bayesian VAE-based AD score from structural MRI data, showing strong correlations with cognitive decline and brain atrophy markers, and outperforming existing measures in predicting AD.

bioRxiv · Nov 7, 2024 · PreprintNeuroscience

Individualized Gaussian Process-based Prediction of Memory Performance and Biomarker Status in Ageing and Alzheimer's disease

Aditya Nemali, Niklas Vockert, David Berron, Anne Maaß, Renat Yakupov, Oliver Peters, Daria Gref, Nicoleta Carmen Cosma, Lukas Preis, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Andrea Lohse, Klaus Fließbach, Okka Kimmich, , Gabriel Ziegler

The paper uses Gaussian process multikernel modeling to predict memory performance and CSF biomarkers in ageing and Alzheimer's disease using MRI and other data.

bioRxiv · Mar 14, 2022 · PreprintNeuroscience