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

Author:

Li Karl1,Rashid Tanweer1,Li Jinqi2,Honnorat Nicolas1,Nirmala Anoop Benet1,Fadaee Elyas1,Wang Di1,Charisis Sokratis1,Liu Hangfan1,Franklin Crystal2,Maybrier Mallory1,Katragadda Haritha1,Abazid Leen2,Ganapathy Vinutha3,Valaparla Vijaya Lakshmi4,Bagudu Pradeepthi1,Vasquez Eliana1,Solano Leigh1,Clarke Geoffrey2,Maestre Gladys56,Richardson Tim17,Walker Jamie17,Fox Peter T.2,Bieniek Kevin18,Seshadri Sudha1,Habes Mohamad12

Affiliation:

1. Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA

2. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA

3. Department of Neurology, University of Texas Health Science Center, San Antonio, TX, USA

4. Department of Neurology, University of Texas Medical Branch, Galveston, TX, USA

5. Department of Neuroscience, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA

6. Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA

7. Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

8. Department of Pathology, University of Texas Health Science Center, San Antonio, TX, USA

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. Conclusion: 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.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference107 articles.

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