BACKGROUND: PET imaging is an established technique to detect cerebral amyloid-β (Aβ) plaques in vivo. Some preclinical and postmortem data report an accumulation of redox-active iron near Aβ plaques. Quantitative susceptibility mapping (QSM) at high-field MRI enables iron deposits to be depicted with high spatial resolution. OBJECTIVE: Aim of this study was to examine whether iron and Aβ plaque accumulation is related and thus, whether 7T MRI might be an additive diagnostic tool to Aβ PET imaging. METHODS: Postmortem human Alzheimer's disease (AD) and healthy control (HC) frontal gray matter (GM) was imaged with 7T MRI which resulted in T1 maps and QSM. Aβ plaque load was determined by histopathology. In vivo, 10 Aβ PET-positive AD patients (74.1±6.0a) and 10 Aβ PET-negative HCs (67.1±4.4a) underwent 7T MR examination and QSM maps were analyzed. Severity of cognitive deficits was determined by MMSE. RESULTS: Postmortem, the susceptibility of Aβ plaque-containing GM were higher than those of Aβ plaque-free GM (0.011±0.002 versus - 0.008±0.003 ppm, p < 0.001). In vivo, only the bilateral globus pallidus showed significantly higher susceptibility in AD patients compared to HCs (right: 0.277±0.018 versus - 0.009±0.009 ppm; left: 0.293±0.014 versus - 0.007±0.012 ppm, p < 0.0001). The pallidal QSM values were negatively correlated with those of the MMSE (r = - 0.69, p = 0.001). CONCLUSION: The postmortem study revealed significant susceptibility differences between the Aβ plaque-containing and Aβ plaque-free GM, whereas in vivo only the QSM values of the globus pallidus differed significantly between AD and HC group. The pallidal QSM values correlated with the severity of cognitive deficits. These findings encourage efforts to optimize the 7T-QSM methodology.
BACKGROUND: PET imaging is an established technique to detect cerebral amyloid-β (Aβ) plaques in vivo. Some preclinical and postmortem data report an accumulation of redox-active iron near Aβ plaques. Quantitative susceptibility mapping (QSM) at high-field MRI enables iron deposits to be depicted with high spatial resolution. OBJECTIVE: Aim of this study was to examine whether iron and Aβ plaque accumulation is related and thus, whether 7T MRI might be an additive diagnostic tool to Aβ PET imaging. METHODS: Postmortem humanAlzheimer's disease (AD) and healthy control (HC) frontal gray matter (GM) was imaged with 7T MRI which resulted in T1 maps and QSM. Aβ plaque load was determined by histopathology. In vivo, 10 Aβ PET-positive ADpatients (74.1±6.0a) and 10 Aβ PET-negative HCs (67.1±4.4a) underwent 7T MR examination and QSM maps were analyzed. Severity of cognitive deficits was determined by MMSE. RESULTS: Postmortem, the susceptibility of Aβ plaque-containing GM were higher than those of Aβ plaque-free GM (0.011±0.002 versus - 0.008±0.003 ppm, p < 0.001). In vivo, only the bilateral globus pallidus showed significantly higher susceptibility in ADpatients compared to HCs (right: 0.277±0.018 versus - 0.009±0.009 ppm; left: 0.293±0.014 versus - 0.007±0.012 ppm, p < 0.0001). The pallidal QSM values were negatively correlated with those of the MMSE (r = - 0.69, p = 0.001). CONCLUSION: The postmortem study revealed significant susceptibility differences between the Aβ plaque-containing and Aβ plaque-free GM, whereas in vivo only the QSM values of the globus pallidus differed significantly between AD and HC group. The pallidal QSM values correlated with the severity of cognitive deficits. These findings encourage efforts to optimize the 7T-QSM methodology.
Entities:
Keywords:
7T MRI; Alzheimer’s disease; amyloid; iron accumulation; quantitativezzm321990susceptibility mapping
Authors: Gloria C Chiang; Junghun Cho; Jonathan Dyke; Hang Zhang; Qihao Zhang; Michael Tokov; Thanh Nguyen; Ilhami Kovanlikaya; Michael Amoashiy; Mony de Leon; Yi Wang Journal: J Neuroimaging Date: 2022-03-16 Impact factor: 2.324
Authors: Gregory Brown; Guangwei Du; Elana Farace; Mechelle M Lewis; Paul J Eslinger; James McInerney; Lan Kong; Runze Li; Xuemei Huang; Sol De Jesus Journal: J Parkinsons Dis Date: 2022 Impact factor: 5.520
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 Journal: Neuroimage Date: 2020-10-06 Impact factor: 6.556
Authors: Dean Tran; Phillip DiGiacomo; Donald E Born; Marios Georgiadis; Michael Zeineh Journal: Front Hum Neurosci Date: 2022-07-13 Impact factor: 3.473