Postmortem Brain Imaging in Alzheimer’s Disease and Related Dementias: The South Texas Alzheimer’s Disease Research Center Repository

Karl Li, Tanweer Rashid, Jinqi Li, Nicolas Honnorat, Anoop Benet Nirmala, Elyas Fadaee, Di Wang, Sokratis Charisis, Hangfan Liu, Crystal Franklin, Mallory Maybrier, Haritha Katragadda, Leen Abazid, Vinutha Ganapathy, Vijaya Lakshmi Valaparla, Pradeepthi Bagudu, Eliana Vasquez, Leigh Solano, Geoffrey Clarke, Gladys MaestreTim Richardson, Jamie Walker, Peter T. Fox, Kevin Bieniek, Sudha Seshadri, Mohamad Habes

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Neuroimaging bears the promise of providing new biomarkers that could refine the diagnosis of dementia. Still, obtaining the pathology data required to validate the relationship between neuroimaging markers and neurological changes is challenging. Existing data repositories are focused on a single pathology, are too small, or do not precisely match neuroimaging and pathology findings. Objective: The new data repository introduced in this work, the South Texas Alzheimer’s Disease research center repository, was designed to address these limitations. Our repository covers a broad diversity of dementias, spans a wide age range, and was specifically designed to draw exact correspondences between neuroimaging and pathology data. Methods: Using four different MRI sequences, we are reaching a sample size that allows for validating multimodal neuroimaging biomarkers and studying comorbid conditions. Our imaging protocol was designed to capture markers of cerebrovascular disease and related lesions. Quantification of these lesions is currently underway with MRI-guided histopathological examination. Results: A total of 139 postmortem brains (70 females) with mean age of 77.9 years were collected, with 71 brains fully analyzed. Of these, only 3% showed evidence of AD-only pathology and 76% had high prevalence of multiple pathologies contributing to clinical diagnosis. Conclusions: This repository has a significant (and increasing) sample size consisting of a wide range of neurodegenerative disorders and employs advanced imaging protocols and MRI-guided histopathological analysis to help disentangle the effects of comorbid disorders to refine diagnosis, prognosis and better understand neurodegenerative disorders.

Original languageEnglish (US)
Pages (from-to)1267-1283
Number of pages17
JournalJournal of Alzheimer's Disease
Volume96
Issue number3
DOIs
StatePublished - Nov 21 2023

Keywords

  • Alzheimer’s disease
  • dementia
  • histopathology
  • magnetic resonance imaging
  • neuroimaging
  • postmortem diagnosis

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Clinical Psychology
  • General Neuroscience

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