Author

Elliot L. Hong

University of Maryland, Baltimore

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 Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Peter V KochunoviD· 4 shared Alexander J. HuangiD· 2 shared Alexander S. TomysheviD· 2 shared Anita Riecher‐RössleriD· 2 shared Anne UhlmanniD· 2 shared Anthony C. JamesiD· 2 shared Aristotle N. VoineskosiD· 2 shared Artemis Zavaliangos‐PetropuluiD· 2 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersNeuroscience

Peter V KochunovORCID

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Author profile →

6 papers

Recent·Most cited

The single nucleotide polymorphism rs1053230 modulates kynurenine 3-monooxygenase stability and is associated with cognitive and mood phenotypes

Mary E.W. Collier, Georgia Ceeney, Joshua Chiappelli, Korrapati V. Sathyasaikumar, Thong Huy Cao, Paulene Quinn, Junfeng Ma, Aashti Shauriq, Nicolas B. Sylvius, Edward J. Hollox, Donald J. L. Jones, Andrew Hudson, Elliot L. Hong, Nigel Shaun Scrutton, Robert M. Schwarcz, Flaviano Giorgini

This study investigates the functional impact of SNPs rs1053230 and rs2275163 on KMO protein stability and interactions, linking rs1053230 to depressive mood symptoms.

bioRxiv · May 21, 2026 · PreprintMolecular Biology

Identification of a miRNA signature for schizophrenia in plasma-derived extracellular vesicles

Mary E.W. Collier, Joshua Chiappelli, Hollie Marshall, Nicolas B. Sylvius, Natalie Allcock, Josh Whittingham, Peter Kochunov, Robert M. Schwarcz, Elliot L. Hong, Flaviano Giorgini

The paper identifies a miRNA signature in plasma-derived extracellular vesicles associated with schizophrenia and links one miRNA to working memory and white matter integrity.

bioRxiv · Mar 6, 2026 · PreprintGenetics

Age-Related Decline in Blood-Brain Barrier Function is More Pronounced in Males than Females in Parietal and Temporal Regions

Xingfeng Shao, Qinyang Shou, Kimberly Felix, Brandon Ojogho, Xuejuan Jiang, Brian T. Gold, Megan M. Herting, Eric Luria Goldwaser, Peter V Kochunov, Elliot L. Hong, Ioannis Pappas, Meredith N. Braskie, Hosung Kim, Steven Cen, Kay Jann, Danny J.J. Wang

The paper investigates age and sex differences in BBB function using MRI in 186 participants, finding more pronounced decline in males starting in the early 60s, particularly in parietal and temporal regions.

bioRxiv · Jan 12, 2024Neuroscience

White matter integrity and nicotine dependence in smokers: evaluating vertical and horizontal pleiotropy

Zhenyao Ye, Chen Mo, Kathryn S. Hatch, Song Liu, Si Gao, Elliot L. Hong, Peter V Kochunov, Shuo Chen, Tianzhou Ma

The paper evaluates vertical and horizontal pleiotropy pathways linking genetic variants, white matter integrity, and nicotine dependence using UK Biobank data.

bioRxiv · Dec 9, 2020 · PreprintNeuroscience

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Dmitry Petrov, Boris A. Gutman, Е.Е. Кузнецов, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn I. Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore Daniel Satterthwaite, , Paul M. Thompson

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

bioRxiv · Sep 4, 2018 · PreprintNeuroscience

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Dmitry Petrov, Boris A. Gutman, Shih-Hua, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn I. Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore Daniel Satterthwaite, , Paul M. Thompson

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.

Lecture notes in computer science · Jan 1, 2017Peer-reviewedNeuroscience