Author

Esther Wu

National University of Singapore

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:benchmarking· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Christopher Lee AsplundiD· 2 shared Alisia M.J. Chee· 1 shared Alvin P.H. WongiD· 1 shared B.T. Thomas YeoiD· 1 shared Baxter P. RogersiD· 1 shared Felicitas B. BidlackiD· 1 shared Gwenisha J. LiawiD· 1 shared Hakan KaraaslaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Christopher Lee AsplundORCID

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Author profile →

3 papers

Recent·Most cited

Hypomineralized Enamel Alters Trigeminal Sensory Afferent Architecture, Transcriptome, and Dental Injury Responses

Hakan Karaaslan, Robert A. Bossong, Esther Wu, Lama Alabdulaaly, Min Son, Xuesong He, Isaac M. Chiu, Jennifer L. Gibbs, Felicitas B. Bidlack, Özge Erdoğan

This study shows that enamel hypomineralization alters dental pulp and trigeminal nerve structure, transcriptome, and injury response without direct pulp exposure.

bioRxiv · Sep 16, 2026 · PreprintNeuroscience

Validating time-resolved fMRI with sub-second event durations

Alvin P.H. Wong, Esther Wu, Baxter P. Rogers, Christopher Lee Asplund

This study validates time-resolved fMRI for detecting sub-second timing differences in neural responses by testing how stimulus duration and intensity affect hemodynamic signals.

bioRxiv · Jul 30, 2023 · PreprintNeuroscience

Overlapping attentional networks yield divergent behavioral predictions across tasks: Neuromarkers for diffuse and focused attention?

Esther Wu, Gwenisha J. Liaw, Rui Zhe Goh, Tiffany T.Y. Chia, Alisia M.J. Chee, Takashi Obana, Monica D. Rosenberg, B.T. Thomas Yeo, Christopher Lee Asplund

The paper constructs two connectome-based predictive models (CPMs) to predict performance in attention tasks, finding that networks associated with better visual attentional blink performance predict worse performance in other attention tasks.

NeuroImage · Jan 12, 2020Peer-reviewedNeuroscience