Health AI Central
Peer-Reviewed Publication
Alzheimers Dement2026;22(10):e71889.October 1, 2026Journal Article

Integration of neuroimaging signatures of aging and Alzheimer's with fluid biomarkers.

Mitzi M Gonzales1,2, Ngoc Huynh Ho2,3, David H Wang2,3, Tanweer Rashid2,3, Sachintha R Brandigampala2,3, Mengjin Dong2,3, David Martinez2,3, Sokratis Charisis2,3, Timothy J Hohman4, Sudha Seshadri2,5, Christos Davatzikos6, Gladys Maestre7, Tiffany F Kautz2, Ashley LaRoche2, Vanessa M Young2,8, Anna Campbell Sullivan2, Kristine Yaffe9, Jon B Toledo10, , Mohamad Habes2,3
1Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
2The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center, San Antonio, Texas, USA.
3Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA.
4Department of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
5Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.
6Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
7Departments of Neurosciences and Human Genetics, University of Texas Rio Valley Grande, Brownsville, Texas, USA.
8School of Social and Behavioral Sciences, Arizona State University, Tempe, Arizona, USA.
9Departments of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
10Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas, USA.
PubMed DOI

Abstract

INTRODUCTION: Machine learning algorithms applied to neuroimaging may aid diagnosis and disease monitoring. This study aimed to derive neuroimaging signatures of brain aging (Spatial Pattern of Atrophy for Recognition-Brain Age [SPARE-BA]) and Alzheimer's disease (SPARE-AD) in a diverse sample and to examine their associations with plasma biomarkers, diagnosis, and disease progression. METHODS: S…

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