Author

Hannah Feldhoff

Otto-von-Guericke-Universität Magdeburg

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

Frequent Co-Authors

Anni RichteriD· 3 shared Annika Schult· 3 shared Björn Hendrik SchottiD· 3 shared Emrah DüzeliD· 3 shared Hartmut SchützeiD· 3 shared Jasmin M. KizilirmakiD· 3 shared Joram SochiD· 3 shared Larissa FischeriD· 3 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Anni RichterORCID

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Author profile →

3 papers

Recent·Most cited

Single-value scores of memory-related brain activity reflect dissociable neuropsychological and anatomical signatures of neurocognitive aging

Anni Richter, Joram Soch, Jasmin M. Kizilirmak, Larissa Fischer, Hartmut Schütze, Anne Assmann, Gusalija Behnisch, Hannah Feldhoff, Lea Knopf, Matthias Raschick, Annika Schult, Constanze I. Seidenbecher, Renat Yakupov, Emrah Düzel, Björn Hendrik Schott

The paper develops single-value fMRI scores to capture age-related differences in memory-related brain activity and links them to cognitive function in older adults.

Human Brain Mapping · Mar 27, 2023Peer-reviewedNeuroscience

Structural and functional MRI data differentially predict chronological age and behavioral memory performance

Joram Soch, Anni Richter, Jasmin M. Kizilirmak, Hartmut Schütze, Hannah Feldhoff, Larissa Fischer, Lea Knopf, Matthias Raschick, Annika Schult, Emrah Düzel, Björn Hendrik Schott

The paper uses SVM to predict age and memory performance from structural and functional MRI data, finding gray matter volume best predicts age while task-based fMRI contrasts best predict memory performance.

eNeuro · Nov 1, 2022Peer-reviewedNeuroscience

A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging

Joram Soch, Anni Richter, Hartmut Schütze, Jasmin M. Kizilirmak, Anne Assmann, Gusalija Behnisch, Hannah Feldhoff, Larissa Fischer, Julius Heil, Lea Knopf, Christian Merkel, Matthias Raschick, Clara-Johanna Schietke, Annika Schult, Constanze I. Seidenbecher, , Björn Hendrik Schott

The paper introduces and validates a comprehensive fMRI score, FADE-SAME, to quantify memory-related neural activity changes associated with neurocognitive aging.

Human Brain Mapping · Jun 16, 2021Peer-reviewedNeuroscience