Author

Steve Nelson

University of Minnesota

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· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Brenden Tervo‐ClemmensiD· 3 shared Damien A. FairiD· 3 shared Eric FeczkoiD· 3 shared Óscar Miranda-DomíngueziD· 3 shared Jacob T. LundquistiD· 2 shared Kimberly B. WeldoniD· 2 shared Robert J. M. HermosilloiD· 2 shared Thomas J. MadisoniD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersNeuroscience

Brenden Tervo‐ClemmensORCID

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Author profile →

3 papers

Recent·Most cited

Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis

Maryam Mahmoudi, Lucille A. Moore, Jacob T. Lundquist, Andrew Stier, Michael Anderson, Begim Fayzullobekova, Robert J. M. Hermosillo, Audrey Houghton, Thomas J. Madison, ROBERT E. McCOLLUM, Kimberly B. Weldon, Steve Nelson, Amy Esler, Óscar Miranda-Domínguez, Damien A. Fair, , Eric Feczko

This study identifies distinct cortical thickness and curvature patterns in autism and ADHD using harmonized, large-scale brain imaging data.

bioRxiv · Jan 6, 2026 · PreprintNeuroscience

Examining the heritability of functional brain networks in adolescence

Christian Coffman, Sanju Koirala, Robert J. M. Hermosillo, Jacob T. Lundquist, Gracie Grimsurd, Óscar Miranda-Domínguez, Kimberly B. Weldon, Michael R. Anderson, Thomas J. Madison, Steve Nelson, Jed T. Elison, Sylia Wilson, Damien A. Fair, Brenden Tervo‐Clemmens, Saonli Basu, Eric Feczko

This study estimates the heritability of functional brain networks in adolescents using SNP and twin data from the ABCD study, finding low genetic contributions.

bioRxiv · Aug 8, 2025 · PreprintGenomics

Study design features increase replicability in cross-sectional and longitudinal brain-wide association studies

Kaidi Kang, Jakob Seidlitz, Richard A. I. Bethlehem, Jiangmei Xiong, Megan T. Jones, Kahini P. Mehta, Arielle S. Keller, Ran Tao, Anita Randolph, Bart Larsen, Brenden Tervo‐Clemmens, Eric Feczko, Óscar Miranda-Domínguez, Steve Nelson, 3R-BRAIN, , Simon Vandekar

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.

Nature · Nov 27, 2024Peer-reviewedNeuroscience