TY - JOUR
T1 - Postmortem Brain Imaging in Alzheimer’s Disease and Related Dementias
T2 - The South Texas Alzheimer’s Disease Research Center Repository
AU - Li, Karl
AU - Rashid, Tanweer
AU - Li, Jinqi
AU - Honnorat, Nicolas
AU - Nirmala, Anoop Benet
AU - Fadaee, Elyas
AU - Wang, Di
AU - Charisis, Sokratis
AU - Liu, Hangfan
AU - Franklin, Crystal
AU - Maybrier, Mallory
AU - Katragadda, Haritha
AU - Abazid, Leen
AU - Ganapathy, Vinutha
AU - Valaparla, Vijaya Lakshmi
AU - Bagudu, Pradeepthi
AU - Vasquez, Eliana
AU - Solano, Leigh
AU - Clarke, Geoffrey
AU - Maestre, Gladys
AU - Richardson, Tim
AU - Walker, Jamie
AU - Fox, Peter T.
AU - Bieniek, Kevin
AU - Seshadri, Sudha
AU - Habes, Mohamad
N1 - Publisher Copyright:
© 2023 – The authors. Published by IOS Press.
PY - 2023/11/21
Y1 - 2023/11/21
N2 - 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.
AB - 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.
KW - Alzheimer’s disease
KW - dementia
KW - histopathology
KW - magnetic resonance imaging
KW - neuroimaging
KW - postmortem diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85177985879&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85177985879&partnerID=8YFLogxK
U2 - 10.3233/JAD-230389
DO - 10.3233/JAD-230389
M3 - Article
C2 - 37955086
AN - SCOPUS:85177985879
SN - 1387-2877
VL - 96
SP - 1267
EP - 1283
JO - Journal of Alzheimer's Disease
JF - Journal of Alzheimer's Disease
IS - 3
ER -