Author
Andrew R. Bender
Michigan State UniversityORCID 0000-0003-2710-3571Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
Click to filter · or open tagActivity by Year
2019-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 9 mutual co-author links5 papers
Recent·Most cited
- NeuroscienceDevelopmental Cognitive NeurosciencePeer-reviewed
Longitudinal developmental trajectories do not follow cross-sectional age associations in hippocampal subfield and memory development
Attila Keresztes, Laurel Raffington, Andrew R. Bender…·Yee Lee Shing
The paper compares cross-sectional and longitudinal changes in hippocampal subfield volumes and memory in children, finding discrepancies between the two approaches and no strong link between volume changes and memory gains.
- NeurosciencebioRxivPreprint
Age-related differences in white matter: Understanding tensor-based results using fixel-based analysis
Shannon Kelley, John Plass, Andrew R. Bender, Thad A. Polk
This study uses fixel-based analysis to examine age-related white matter differences in older and younger adults, revealing specific microstructural changes associated with aging.
6 citations - NeuroscienceCerebral CortexPeer-reviewed
Hippocampal subfields and limbic white matter jointly predict learning rate in older adults
Andrew R. Bender, Andreas M. Brandmaier, Sandra Düzel…·Simone Kühn
This study shows that limbic white matter microstructure and hippocampal subfield volumes together predict verbal learning rates in older adults, with an interaction effect observed.
- NeurosciencebioRxivPreprint
The Trouble Interpreting fMRI Studies in Populations with Cerebrovascular Risk: The Use of a Subject-Specific Hemodynamic Response Function in a Study of Age, Vascular Risk, and Memory
Ian M. McDonough, Andrew R. Bender, Lawrence Patihis…·William S. Miller
This study shows that using a subject-specific hemodynamic response function improves the interpretation of fMRI data by reducing variability and enhancing consistency in brain activity patterns related to age and vascular risk.