Author

Brian Donohue

The University of Texas Health Science Center at HoustonORCID 0000-0003-1102-4318Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Peter V KochunoviD· 2 shared Alia R. WarneriD· 1 shared Anderson M. WinkleriD· 1 shared Anilkumar PillaiiD· 1 shared Antonio F. PagániD· 1 shared Bhim M. Adhikari· 1 shared Carly DemopoulosiD· 1 shared Cecilia Montiel‐NavaiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Peter V KochunovORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMay 26, 2026

The Regional Vulnerability Index (RVI) as a Neuroimaging-Based Biomarker for Autism: Associations with Likelihood, Cognition, and Longitudinal Social Outcomes

Antonio F. Pagán, Katherine E. Lawrence, Jan K. Buitelaar…·Peter V Kochunov

The paper develops and evaluates the Regional Vulnerability Index (RVI-ASD) as a neuroimaging biomarker for autism, showing its stability, heritability, and associations with cognition and social outcomes.

DOI 10.64898/2026.05.19.726341

humanimaging

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GeneticsNature CommunicationsPeer-reviewedAug 8, 2018

Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes

Habib Ganjgahi, Anderson M. Winkler, David C. Glahn…·Thomas E. Nichols

The paper develops a method for efficient genome-wide association analysis of high-dimensional imaging phenotypes using mixed models and variance component estimation.

8 citations

GWAS summary statisticsstatistical model

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