Author

Megan Quarmley

Temple UniversityORCID 0000-0003-2115-2196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adon F.G. RoseniD· 1 shared Ángel García de la GarzaiD· 1 shared Christos A. DavatzikosiD· 1 shared David R. RoalfiD· 1 shared David Victor SmithiD· 1 shared Efstathios D. GennatasiD· 1 shared Haroon S. PopaliD· 1 shared Ingrid R. OlsoniD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Adon F.G. RosenORCID

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2 papers

Recent·Most cited

The Cerebellum and Striatum in Reward Processing: Caring About Being Right vs. Caring About Reward

Haroon S. Popal, Megan Quarmley, David Victor Smith, Johanna M. Jarcho, Ingrid R. Olson

The paper investigates how the cerebellum and ventral striatum process social rewards using fMRI, finding the cerebellum responds uniformly to feedback regardless of reward valence, unlike the striatum.

bioRxiv · Jun 4, 2025 · PreprintNeuroscience

Data-driven Assessment of Structural Image Quality

Adon F.G. Rosen, David R. Roalf, Kosha Ruparel, Jason A. Blake, Kevin Seelaus, Lakshmi P. Villa, Rastko Ćirić, Philip A. Cook, Christos A. Davatzikos, Mark A. Elliott, Ángel García de la Garza, Efstathios D. Gennatas, Megan Quarmley, J. Eric Schmitt, Russell Taki Shinohara, , Theodore Daniel Satterthwaite

The paper develops an automated method to assess structural brain image quality using Euler number and validates its effectiveness in identifying low-quality images and its relationship with cortical thickness and age-related associations.

NeuroImage · Dec 24, 2017Peer-reviewedNeuroscience