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Peer-Reviewed Publication
Neuropsychologia2026;222109352.February 15, 2026Journal Article

Deep learning approaches to map individual differences in macroscopic neural structure with variations in spatial navigation behavior.

Ashish K Sahoo1, Hajymyrat Geldimuradov2, Kaleb E Smith3, Aaron Zygala2, Yiming Cui4, Mahsa Lotfollahi3, Kuang Gong5, Alina Zare4, Steven M Weisberg6
1Department of Psychology, University of Florida, 945 Center Dr., Gainesville, FL, 32611, USA. Electronic address: ashishkumarsahoo@ufl.edu.
2Department of Psychology, University of Florida, 945 Center Dr., Gainesville, FL, 32611, USA.
3NVIDIA, Santa Clara, CA, USA.
4Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.
5Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
6Department of Psychology, University of Florida, 945 Center Dr., Gainesville, FL, 32611, USA; Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, 1225 Center Dr., Gainesville, FL, 32611, USA. Electronic address: stevenweisberg@ufl.edu.
PubMed PMC DOI PDF

Abstract

Understanding the association between structural properties of the human brain and individual differences in behavior is an ongoing endeavor, challenged by the brain's complexity. Past approaches, limited by simplistic neural structure measures like brain volume or cortical thickness, have given way to more advanced modeling approaches. Empirical evidence using these simpler metrics occasionally s…

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