Author

Adam M. Brickman

Columbia University;Primary ORCID profile (0000-0002-5125-8226 · 9 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Adam M. BrickmaniD9 papers · Columbia University Irving Medical Center

Biology Disciplines

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Neuroscience· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A4 Study team· 1 shared Alzheimers Disease Neuroimaging Initiative (ADNI)· 1 shared Alzheimers Disease Sequencing Project (ADSP)· 1 shared Andrew J. Saykin· 1 shared Annie J Lee· 1 shared Arthur W. Toga· 1 shared Carlos Cruchaga· 1 shared Christian G. Habeck· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

A4 Study team

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2 papers

Recent·Most cited

Topographic reference modelling of white matter hyperintensities across the adult lifespan

Mohamad J. Alshikho, Jeffrey D. Pyne, Natalie C. Edwards, Christiane Hale, Dejania Cotton Samuel, Clarissa D. Morales, Natalie Morel, Rafael Vignoli Lippert, Derek B Archer, Michael L. Cuccaro, Arthur W. Toga, Andrew J. Saykin, Shannon L. Risacher, Michael E. Belloy, Walter Kukull, , Adam M. Brickman

This paper introduces vTRM, a framework to characterize WMH spatial patterns across age and sex, revealing distinct associations with aging, vascular, and neurodegenerative processes.

bioRxiv · Nov 3, 2026 · PreprintNeuroscience

A common statistical misunderstanding in Psychology and Neuroscience: Do we need normally distributed independent or dependent variables for linear regression to work?

Christian G. Habeck, Adam M. Brickman

The paper identifies a common statistical misunderstanding in Psychology and Neuroscience regarding the requirements for linear regression, clarifying that normality applies to residuals, not variables.

bioRxiv · Apr 24, 2018 · PreprintScientific Communication & Education