Author

Brett M. Bormann

University of California, Davis

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:electronic health records· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1

Frequent Co-Authors

Daniel C. ComstockiD· 4 shared Doron SagiviD· 4 shared Kelsey MankeliD· 4 shared Soukhin DasiD· 4 shared Hilary Brodie· 2 shared Arezoo Ghasemzadeh· 1 shared Chengyi Li· 1 shared H. Brodie· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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4 shared papersNeuroscience

Daniel C. ComstockORCID

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Author profile →

4 papers

Recent·Most cited

Predicting Speech in Noise Perception using Measures of Neural Entrainment

Brett M. Bormann, Zacaria Balky, Chengyi Li, Arezoo Ghasemzadeh, Kelsey Mankel, Daniel C. Comstock, Soukhin Das, Richard Whittle, H. Brodie, Doron Sagiv, Lee M. Miller

The paper uses neural entrainment measures from EEG data to predict speech-in-noise perception performance in a cohort of healthy listeners.

bioRxiv · Sep 11, 2026 · PreprintNeuroscience

Auditory brainstem responses to speech-in-noise reflect selective attention, comprehension, and subjective listening effort

Kelsey Mankel, Daniel C. Comstock, Brett M. Bormann, Soukhin Das, Doron Sagiv, Hilary Brodie, Lee M. Miller

This study investigates how auditory brainstem responses to speech-in-noise reflect selective attention, comprehension, and listening effort using a novel stimulus.

eNeuro · Aug 14, 2026Peer-reviewedNeuroscience

Comparison of a Novel Real-World Speech in Noise Auditory Attention Task to Standard Clinical Audiological Metrics

Brett M. Bormann, Nina E. Wade, Kelsey Mankel, Daniel C. Comstock, Soukhin Das, Richard S. Whittle, Hilary Brodie, Doron Sagiv, L A Miller

The paper evaluates how age, pure tone audiometry, and cognitive ability predict speech perception in noise using a novel auditory attention task.

bioRxiv · May 29, 2026 · PreprintNeuroscience

Individual Differences in Cognition and Perception Predict Neural Processing of Speech in Noise for Audiometrically Normal Listeners.

Sana Shehabi, Daniel C. Comstock, Kelsey Mankel, Brett M. Bormann, Soukhin Das, Hilary A. Brodie, Doron Sagiv, Lee M. Miller

The paper investigates how individual cognitive and perceptual differences predict neural speech processing in noise using EEG and cognitive tasks.

eNeuro · Mar 18, 2025Peer-reviewedNeuroscience