Author

David S. Grayson

Oregon Health & Science University

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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Research Focus:benchmarking· 3 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alex A. PolleniD· 1 shared Alex RogozhnikoviD· 1 shared Alexandros GoulasiD· 1 shared Anandakumar ShunmugaveliD· 1 shared Andy Lash· 1 shared Anthony Batarse· 1 shared Anthony Bosshardt· 1 shared Anthony Randal McIntoshiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperNeuroscience

Alex A. PollenORCID

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Author profile →

3 papers

Recent·Most cited

Optimization and scaling of patient-derived brain organoids uncovers deep phenotypes of disease

Kevan D. Shah, Rishi Bedi, Alex Rogozhnikov, Pavan Ramkumar, Zhixiang Tong, Brian G. Rash, Morgan M. Stanton, Jordan M. Sorokin, Cagsar Apaydin, Anthony Batarse, Julia Bergamaschi, Robert M. Blattner, Spencer Brown, Anthony Bosshardt, Carlos Castrillo, , G. Sean Escola

This paper develops an automated system to scale patient-derived brain organoids, revealing consistent donor and batch effects and demonstrating reproducible disease phenotypes in tuberous sclerosis models.

bioRxiv · Aug 26, 2020 · PreprintNeuroscience

Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex

Kelly Shen, Alexandros Goulas, David S. Grayson, John Eusebio, Joseph S. Gati, Ravi S. Menon, Anthony Randal McIntosh, Stefan Everling

This study compares diffusion-based tractography and invasive tracer data to assess the accuracy of topological properties in macaque cortical connectomes.

NeuroImage · Feb 10, 2019Peer-reviewedNeuroscience

Correlated gene expression and anatomical communication support synchronized brain activity in the mouse functional connectome

Brian D. Mills, David S. Grayson, Anandakumar Shunmugavel, Óscar Miranda-Domínguez, Eric Feczko, Eric Earl, Kim Arthur Neve, Damien A. Fair

The paper develops a model to explain mouse brain functional connectivity by integrating anatomical connectivity, gene expression, and fMRI data, showing their synergistic role in shaping brain activity.

Journal of Neuroscience · May 22, 2018Peer-reviewedNeuroscience