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AIBL

University of Minnesota

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Neuroscience· 1

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

3R-BRAIN· 1 shared Aaron F. Alexander‐BlochiD· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Alzheimer’s Disease Repository Without Borders Investigators· 1 shared Anita RandolphiD· 1 shared Arielle S. KelleriD· 1 shared Bart LarseniD· 1 shared Brenden Tervo‐ClemmensiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperNeuroscience

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1 paper

Recent·Most cited

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