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Associations of quantitative susceptibility mapping with Alzheimer's disease clinical and imaging markers

Authors :
Petrice M. Cogswell
Heather J. Wiste
Matthew L. Senjem
Jeffrey L. Gunter
Stephen D. Weigand
Christopher G. Schwarz
Arvin Arani
Terry M. Therneau
Val J. Lowe
David S. Knopman
Hugo Botha
Jonathan Graff-Radford
David T. Jones
Kejal Kantarci
Prashanthi Vemuri
Bradley F Boeve
Michelle M. Mielke
Ronald C. Petersen
Clifford R. Jack, Jr
Source :
NeuroImage, Vol 224, Iss , Pp 117433- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Altered iron metabolism has been hypothesized to be associated with Alzheimer's disease pathology, and prior work has shown associations between iron load and beta amyloid plaques. Quantitative susceptibility mapping (QSM) is a recently popularized MR technique to infer local tissue susceptibility secondary to the presence of iron as well as other minerals. Greater QSM values imply greater iron concentration in tissue. QSM has been used to study relationships between cerebral iron load and established markers of Alzheimer's disease, however relationships remain unclear. In this work we study QSM signal characteristics and associations between susceptibility measured on QSM and established clinical and imaging markers of Alzheimer's disease. The study included 421 participants (234 male, median age 70 years, range 34–97 years) from the Mayo Clinic Study of Aging and Alzheimer's Disease Research Center; 296 (70%) had a diagnosis of cognitively unimpaired, 69 (16%) mild cognitive impairment, and 56 (13%) amnestic dementia. All participants had multi-echo gradient recalled echo imaging, PiB amyloid PET, and Tauvid tau PET. Variance components analysis showed that variation in cortical susceptibility across participants was low. Linear regression models were fit to assess associations with regional susceptibility. Expected increases in susceptibility were found with older age and cognitive impairment in the deep and inferior gray nuclei (pallidum, putamen, substantia nigra, subthalamic nucleus) (betas: 0.0017 to 0.0053 ppm for a 10 year increase in age, p = 0.03 to

Details

Language :
English
ISSN :
10959572
Volume :
224
Issue :
117433-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.fba218a2dfae42379f98df51308bde73
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2020.117433