Author

Michael C. Farruggia

Yale UniversityORCID 0000-0002-5306-6754Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Dustin ScheinostiD· 2 shared Aaron T. MattfeldiD· 1 shared Angela R. LairdiD· 1 shared Brendan D. AdkinsoniD· 1 shared Dana Melanie SmalliD· 1 shared Hannah Peterson· 1 shared Javid DadashkarimiiD· 1 shared Jean YeiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersNeuroscience

Dustin ScheinostORCID

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Author profile →

3 papers

Recent·Most cited

Trends in Self-citation Rates in High-impact Neurology, Neuroscience, and Psychiatry Journals

Matthew Rosenblatt, Saloni Mehta, Hannah Peterson, Javid Dadashkarimi, Raimundo X. Rodriguez, Maya L. Foster, Brendan D. Adkinson, Qinghao Liang, Violet M Kimble, Jean Ye, Marie C McCusker, Michael C. Farruggia, Max J. Rolison, Margaret L. Westwater, Rongtao Jiang, , Dustin Scheinost

This study analyzes self-citation rates across 100,347 articles from 63 neuroscience journals between 2000-2020, revealing trends in self-citation by author position, country, gender, and field.

eLife · May 14, 2025Peer-reviewedNeuroscience

Common default mode network dysfunction across psychopathologies: A neuroimaging meta-analysis of the n-back working memory paradigm

Michael C. Farruggia, Angela R. Laird, Aaron T. Mattfeld

This study uses neuroimaging meta-analysis to show common hyperactivity in the medial prefrontal cortex across multiple psychopathologies, suggesting shared dysregulation in default-mode intrusion affecting working memory.

bioRxiv · Jan 30, 2020 · PreprintNeuroscience

Fingerprinting Adiposity and Metabolic Function in the Brains of Overweight and Obese Humans

Michael C. Farruggia, Maria Jorina van Kooten, Mary V. Burke, Dustin Scheinost, Robert Todd Constable, Dana Melanie Small

The paper uses connectome-based predictive modeling to identify brain fingerprints linked to adiposity measures in overweight and obese adults, finding stronger associations with waist circumference than BMI or percent body fat.

bioRxiv · Mar 1, 2019 · PreprintNeuroscience