Author

Lindsay R. Walton

University of North Carolina at Chapel HillORCID 0000-0002-9650-9607Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:imaging· 3 Organism:rat· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Yen‐Yu Ian ShihiD· 3 shared Sung-Ho LeeiD· 2 shared Tzu-Hao Harry ChaoiD· 2 shared Tzu-Wen Winnie WangiD· 2 shared Amit EtkiniD· 1 shared Brittany M. KatziD· 1 shared Catherine N. HalliD· 1 shared Daniel L. AlbaughiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersNeuroscience

Yen‐Yu Ian ShihORCID

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Author profile →

3 papers

Recent·Most cited

Distinct neurochemical influences on fMRI response polarity in the striatum

Domenic H. Cerri, Daniel L. Albaugh, Lindsay R. Walton, Brittany M. Katz, Tzu-Wen Winnie Wang, Tzu-Hao Harry Chao, Weiting Zhang, Randal J. Nonneman, Jing Jiang, Sung‐Ho Lee, Amit Etkin, Catherine N. Hall, Garret D. Stuber, Yen‐Yu Ian Shih

This study identifies neurochemical influences on fMRI response polarity in the striatum, showing opioidergic transmission contributes to negative signals while dopaminergic transmission is associated with positive signals.

Nature Communications · Mar 1, 2024Peer-reviewedNeuroscience

Simultaneous fMRI and fast-scan cyclic voltammetry bridges oxygenation and neurotransmitter dynamics across spatiotemporal scales

Lindsay R. Walton, Matthew Verber, Sung-Ho Lee, Tzu-Hao Harry Chao, Robert Mark Wightman, Yen‐Yu Ian Shih

This paper combines fMRI and fast-scan cyclic voltammetry to measure oxygen and dopamine dynamics alongside BOLD signals, revealing strong correlations between tissue oxygen and BOLD and identifying dopamine-responsive brain regions.

NeuroImage · Oct 6, 2021Peer-reviewedNeuroscience

3D U-Net improves automatic brain extraction for isotropic rat brain MRI data

Li‐Ming Hsu, Shuai Wang, Lindsay R. Walton, Tzu-Wen Winnie Wang, Sung-Ho Lee, Yen‐Yu Ian Shih

This paper introduces a 3D U-Net framework for automatic brain extraction in rat MRI data, showing improved performance over existing methods.

bioRxiv · Sep 27, 2021 · PreprintNeuroscience