Author

Marianne van der Vaart

University of OxfordORCID 0000-0001-8628-8719Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Luke BaxteriD· 2 shared Rebeccah SlateriD· 2 shared Alan WorleyiD· 1 shared Alexandra Abos· 1 shared Caroline HartleyiD· 1 shared Coen S. ZandvoortiD· 1 shared Eleri AdamsiD· 1 shared Eugene Paul DuffiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Luke BaxterORCID

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2 papers

Recent·Most cited

NeuroscienceClinical NeurophysiologyPeer-reviewedNov 20, 2023

Sensory event-related potential morphology predicts age in premature infants

Coen S. Zandvoort, Marianne van der Vaart, Shellie Robinson…·Caroline Hartley

This paper shows that sensory-evoked potentials can accurately predict age in premature infants, with potential for early detection of abnormal neurodevelopment.

8 citations

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 1, 2020

Inferring the infant pain experience: a translational fMRI-based signature approach

Eugene Paul Duff, Fiona Moultrie, Marianne van der Vaart…·Rebeccah Slater

This paper translates adult fMRI pain signatures to infants, finding similar basic nociceptive encoding but differences in higher-level cognitive modulation of pain.

1 citation

humanimaging

𝕏 PostBluesky