Author

Terri‐Leigh Stephen

University of Southern CaliforniaORCID 0000-0002-5341-1167Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alice Oliver‐Evans· 1 shared Andrew D. RandalliD· 1 shared Bayla M BreningstalliD· 1 shared Debra HawesiD· 1 shared Francesco TamagniniiD· 1 shared Johanna JacksoniD· 1 shared Joshua HarveyiD· 1 shared Judith Piegsa· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alice Oliver‐Evans

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Machine Learning Classification of Alzheimer's Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal Subregions

Terri‐Leigh Stephen, Laura Korobkova, Bayla M Breningstall, K. Nguyen, S. Mehta, Maricarmen Pachicano, Kymry T. Jones, Debra Hawes, Ryan P. Cabeen, Michael S. Bienkowski

bioRxiv · May 31, 2023 · PreprintNeuroscience

Imbalance in the response of pre- and post-synaptic components to amyloidopathy

Terri‐Leigh Stephen, Francesco Tamagnini, Judith Piegsa, Katherine Sung, Joshua Harvey, Alice Oliver‐Evans, Tracey K. Murray, Zeshan Ahmed, Michael L. Hutton, Andrew D. Randall, Michael J. O’Neill, Johanna Jackson

The paper examines how Aβ plaques develop and affect synaptic density and turnover in a mouse model of Alzheimer's disease, finding an imbalance in pre- and post-synaptic responses.

Scientific Reports · Oct 16, 2019Peer-reviewedNeuroscience