Ultra-High Field MRI in Alzheimer's Disease: Effective Transverse Relaxation Rate and Quantitative Susceptibility Mapping of Human Brain In Vivo and Ex Vivo compared to Histology.
Aged
Alzheimer Disease
/ diagnostic imaging
Brain
/ pathology
Brain Mapping
/ methods
Cerebral Cortex
/ diagnostic imaging
Disease Susceptibility
/ diagnostic imaging
Electromagnetic Fields
Female
Gray Matter
/ diagnostic imaging
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
/ methods
Male
Plaque, Amyloid
/ diagnostic imaging
Positron-Emission Tomography
White Matter
/ diagnostic imaging
Alzheimer’s disease
amyloid plaque load
amyloid-β
biomarkers
effective transverse relaxation rate
histology
quantitative susceptibility mapping
ultra-high field
Journal
Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863
Informations de publication
Date de publication:
2020
2020
Historique:
pubmed:
21
1
2020
medline:
7
5
2021
entrez:
21
1
2020
Statut:
ppublish
Résumé
Alzheimer's disease (AD) is the most common cause of dementia worldwide. So far, diagnosis of AD is only unequivocally defined through postmortem histology. Amyloid plaques are a classical hallmark of AD and amyloid load is currently quantified by Positron Emission tomography (PET) in vivo. Ultra-high field magnetic resonance imaging (UHF-MRI) can potentially provide a non-invasive biomarker for AD by allowing imaging of pathological processes at a very-high spatial resolution. The first aim of this work was to reproduce the characteristic cortical pattern previously observed in vivo in AD patients using weighted-imaging at 7T. We extended these findings using quantitative susceptibility mapping (QSM) and quantification of the effective transverse relaxation rate (R2*) at 9.4T. The second aim was to investigate the origin of the contrast patterns observed in vivo in the cortex of AD patients at 9.4T by comparing quantitative UHF-MRI (9.4T and 14.1T) of postmortem samples with histology. We observed a distinctive cortical pattern in vivo in patients compared to healthy controls (HC), and these findings were confirmed ex vivo. Specifically, we found a close link between the signal changes detected by QSM in the AD sample at 14.1T and the distribution pattern of amyloid plaques in the histological sections of the same specimen. Our findings showed that QSM and R2* maps can distinguish AD from HC at UHF by detecting cortical alterations directly related to amyloid plaques in AD patients. Furthermore, we provided a method to quantify amyloid plaque load in AD patients at UHF non-invasively.
Identifiants
pubmed: 31958079
pii: JAD190424
doi: 10.3233/JAD-190424
doi:
Types de publication
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM