Author

Brendan C. Moline

University of Rhode Island

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:rat· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Emily J. ReedichiD· 3 shared Katharina A. QuinlaniD· 3 shared Marin ManueliD· 3 shared Cassandra Kramer· 2 shared Elvia Mena Avila· 2 shared Jess Glennon· 2 shared Landon T. GenryiD· 2 shared Lisa Dowaliby· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersNeuroscience

Emily J. ReedichORCID

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Author profile →

3 papers

Recent·Most cited

Whole-Mount Optical Clearing of Rabbit Tenuissimus Muscle for Assessment of Muscle Spindle Morphology

Emily J. Reedich, Brendan C. Moline, Oluwatobi Opesade, Cassandra Kramer, Jess Glennon, Eden Fraatz, Katharina A. Quinlan, Marin Manuel

This paper describes a workflow for three-dimensional visualization of muscle spindles in rabbit tenuissimus muscle using optical clearing and fluorescent labeling.

Frontiers in Neuroscience · Aug 20, 2026Peer-reviewedNeuroscience

Aberrant Pain Phenotypes Emerge Following Prenatal Hypoxic-Ischemic Injury in a Rabbit Model of Cerebral Palsy

Landon T. Genry, Corinne W. Marble, Brendan C. Moline, Patrick J McGinnis, Cassandra Kramer, Scott Matson, Emily J. Reedich, Elvia Mena Avila, Tracy Santos, Lisa Dowaliby, Natallia Katenka, Marin Manuel, Katharina A. Quinlan, Megan Ryan Detloff

This study shows that prenatal hypoxia-ischemia in rabbits leads to altered sensory development, allodynia, anxiety-like behavior, and changes in nociceptive afferent distribution.

bioRxiv · Aug 5, 2026 · PreprintNeuroscience

A novel machine-learning classification model detects oxidative fiber type transitions in a rabbit model of cerebral palsy

Cassandra A. Kramer, Emily J. Reedich, Hope McCann, Sadie Drouin, Destiny Sanders, Elian Gonzalez, Tiffany Ung, Alexandra Mukisa, Elvia Mena Avila, Brendan C. Moline, Landon T. Genry, Jess Glennon, Camila Quiroga, Lisa Dowaliby, Christine J. DiDonato, , Marin Manuel

This paper develops a machine-learning model to classify muscle fiber types in a rabbit model of cerebral palsy, finding oxidative fiber type shifts in affected muscles.

bioRxiv · Jun 14, 2026 · PreprintNeuroscience