Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.
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| Title: | Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures. |
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| Authors: | Honea RA; University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA. rhonea@kumc.edu.; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA. rhonea@kumc.edu., Patel A; University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA., Guiler W; University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA., D'Esposito M; Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA., Chapman SB; Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA., Cook LG; Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA., Spence JS; Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA. |
| Source: | Brain imaging and behavior [Brain Imaging Behav] 2026 Jul 13; Vol. 20 (4). Date of Electronic Publication: 2026 Jul 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101300405 Publication Model: Electronic Cited Medium: Internet ISSN: 1931-7565 (Electronic) Linking ISSN: 19317557 NLM ISO Abbreviation: Brain Imaging Behav Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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