Author

Bret Borowski

Mayo Clinic

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· 6 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 7 Approach:statistical model· 6 Assay:imaging· 5 Research Focus:differential expression· 3 Assay:multiome· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Clifford R. JackiD· 7 shared Michael Walter WeineriD· 7 shared Paul M. ThompsoniD· 7 shared Alzheimer’s Disease Neuroimaging Initiative· 6 shared Prashanthi VemuriiD· 5 shared Andrew J. SaykiniD· 4 shared Arthur W. TogaiD· 4 shared Chad Ward· 4 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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7 shared papersNeuroscience

Clifford R. JackORCID

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Author profile →

7 papers

Recent·Most cited

Comparing Harmonization Approaches for Protocol-Related Variability in Multisite Diffusion MRI Data

Kenny Liou, Sophia I. Thomopoulos, Julio E Villalon Reina, Hannah Yoo, Yuhan Shuai, Sasha Chehrzadeh, Arvin Arani, Bret Borowski, Robert I. Reid, Prashanthi Vemuri, Clifford R. Jack, Michael Walter Weiner, Neda Jahanshad, Paul M. Thompson, Talia M. Nir

The paper compares three harmonization methods for multisite diffusion MRI data to reduce protocol-related variability while preserving associations with cognitive impairment and PET biomarkers.

bioRxiv · Jul 11, 2026 · PreprintNeuroscience

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

Hengda He, Qolamreza Ray Razlighi, Yunglin Gazes, Christian Georg Habeck, Yaakov Stern, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul S. S. Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, Susan M. Landau, Mónica Rivera Mindt, Ozioma Okonkwo, Leslie M. J. Shaw, , Evan Fletcher

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

Communications Medicine · Dec 5, 2025Peer-reviewedNeuroscience

DTI versus NODDI White Matter Microstructural Biomarkers of Alzheimer's Disease

Kenny Liou, Sophia I. Thomopoulos, Hannah Yoo, Yuhan Shuai, Sasha Chehrzadeh, Arvin Arani, Bret Borowski, Robert I. Reid, Clifford R. Jack, Michael Walter Weiner, Neda Jahanshad, Paul M. Thompson, Talia M. Nir, Alzheimer’s Disease Neuroimaging Initiative

The paper compares DTI and NODDI models using dMRI data from ADNI participants to assess their ability to detect AD-related biomarkers like cognitive impairment and amyloid-beta/tau pathology.

International Symposium on Medical Information Processing and Analysis (SIPAIM) · Nov 18, 2025Peer-reviewedNeuroscience

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

Jacob W. Vogel, Yasser Iturria‐Medina, Olof T. Strandberg, Ruben A Smith, Elizabeth Levitis, Alan Charles Evans, Oskar Hansson, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, , Mark A. Mintun

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

Nature Communications · May 26, 2020Peer-reviewedNeuroscience

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Kilian Hett, Vinh‐Thong Ta, Gwénaëlle Catheline, Thomas Tourdias, José V. Manjón, Pierrick Coupé A, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul S. S Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel A. Beckett, , Randall Griffith

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

Scientific Reports · Sep 25, 2019Peer-reviewedNeuroscience

Diffusion MRI Indices and their Relation to Cognitive Impairment in Brain Aging: The updated multi-protocol approach in ADNI3

Artemis Zavaliangos‐Petropulu, Talia M. Nir, Sophia I. Thomopoulos, Robert I. Reid, Matt A. Bernstein, Bret Borowski, Clifford R. Jack, Michael Walter Weiner, Neda Jahanshad, Paul M. Thompson, Alzheimer’s Disease Neuroimaging Initiative

The paper analyzes diffusion MRI data from ADNI3 to assess how different protocols affect diffusion indices and their association with cognitive impairment and age.

Frontiers in Neuroinformatics · Feb 19, 2019Peer-reviewedNeuroscience

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

Bingxin Zhao, Joseph G. Ibrahim, Yun Li, Tengfei Li, Yue Wang, Yue Shan, Ziliang Zhu, Fan Zhou, Jingwen Zhang, Chao Huang, Huiling Liao, Liuqing Yang, Paul M. Thompson, Hongtu Zhu B, Pediatric Imaging, Neurocognition and Genetics (PING), , John Hsiao

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.

Cerebral Cortex · Jul 2, 2018Peer-reviewedGenetics