Literature DB >> 33231528

Quantitative Susceptibility Mapping of Brain Iron and β-Amyloid in MRI and PET Relating to Cognitive Performance in Cognitively Normal Older Adults.

Lin Chen1, Anja Soldan1, Kenichi Oishi1, Andreia Faria1, Yuxin Zhu1, Marilyn Albert1, Peter C M van Zijl1, Xu Li1.   

Abstract

Background For individuals with mild cognitive impairment (MCI) or dementia, elevated brain iron together with β-amyloid is associated with lower cognitive functioning. But this needs further investigation among cognitively normal older adults. Purpose To investigate via quantitative susceptibility mapping (QSM) in MRI and PET how cerebral iron together with β-amyloid affects cognition among cognitively normal older adults. Materials and Methods In this secondary analysis of a prospective study, cognitively normal older adults underwent QSM MRI to measure brain iron. A majority underwent PET to measure cerebral β-amyloid within 30 days of MRI. Multiple linear regression analyses were performed for 12 cortical and subcortical gray matter regions to assess the effect of brain iron on cognitive functions. Voxel-based analyses investigated the associations between tissue iron and β-amyloid load and their relationship to cognitive performance. Results Evaluated were 150 cognitively normal older adults (mean age, 69 years ± 8 [standard deviation]; 93 women). Of 150, 97 underwent PET; 22 of the 97 (mean age, 71 years ± 6; 13 women) were positive for β-amyloid. In all participants, brain iron content in the hippocampus negatively correlated with global cognitive composite score (standardized β = -0.24; 95% CI: -0.40, -0.07; P = .005). In the PET subgroup, brain iron in the hippocampus negatively correlated with episodic memory (β = -0.24; 95% CI: -0.40, -0.08; P = .004) and visuospatial score (β = -0.34; 95% CI: -0.56, -0.12; P = .003) independent of β-amyloid burden. Both negative and positive correlations between brain iron and β-amyloid were observed in the PET subgroup, revealing clusters where brain iron content negatively correlated with β-amyloid and global cognitive scores (eg, in the frontal cortex: β = -0.13; 95% CI: -0.23, -0.02; P = .02). No clusters showed associations between β-amyloid and global cognition. Conclusion Among cognitively normal older adults, quantitative susceptibility mapping in MRI and PET indicated that elevated cerebral iron load was related to lower cognitive performance independent of β-amyloid. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Chiang in this issue.

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Year:  2020        PMID: 33231528      PMCID: PMC7850239          DOI: 10.1148/radiol.2020201603

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

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4.  Meta-analysis of amyloid-cognition relations in cognitively normal older adults.

Authors:  Trey Hedden; Hwamee Oh; Alayna P Younger; Tanu A Patel
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5.  Biochemically-defined pools of amyloid-β in sporadic Alzheimer's disease: correlation with amyloid PET.

Authors:  Blaine R Roberts; Monica Lind; Aaron Z Wagen; Alan Rembach; Tony Frugier; Qiao-Xin Li; Timothy M Ryan; Catriona A McLean; James D Doecke; Christopher C Rowe; Victor L Villemagne; Colin L Masters
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Journal:  Brain       Date:  2017-08-01       Impact factor: 13.501

9.  Cognitive reserve and long-term change in cognition in aging and preclinical Alzheimer's disease.

Authors:  Anja Soldan; Corinne Pettigrew; Qing Cai; Jiangxia Wang; Mei-Cheng Wang; Abhay Moghekar; Michael I Miller; Marilyn Albert
Journal:  Neurobiol Aging       Date:  2017-09-11       Impact factor: 4.673

10.  Colocalization of cerebral iron with Amyloid beta in Mild Cognitive Impairment.

Authors:  J M G van Bergen; X Li; J Hua; S J Schreiner; S C Steininger; F C Quevenco; M Wyss; A F Gietl; V Treyer; S E Leh; F Buck; R M Nitsch; K P Pruessmann; P C M van Zijl; C Hock; P G Unschuld
Journal:  Sci Rep       Date:  2016-10-17       Impact factor: 4.379

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1.  The Blood-Cerebrospinal Fluid Barrier May Play a Role in Alzheimer Disease Pathogenesis.

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2.  Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Authors:  Benjamin C Tendler; Karla L Miller; Chaoyue Wang; Aurea B Martins-Bach; Fidel Alfaro-Almagro; Gwenaëlle Douaud; Johannes C Klein; Alberto Llera; Cristiana Fiscone; Richard Bowtell; Lloyd T Elliott; Stephen M Smith
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3.  Iron Accumulation, Not β-Amyloid or Brain Volumes, Is Linked to Cognition in Older Patients Who Are Nondemented.

Authors:  Gloria C Chiang
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6.  Investigation of the association between cerebral iron content and myelin content in normative aging using quantitative magnetic resonance neuroimaging.

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7.  Quantitative susceptibility mapping shows lower brain iron content in children with attention-deficit hyperactivity disorder.

Authors:  Shilong Tang; Guanping Zhang; Qiying Ran; Lisha Nie; Xianfan Liu; Zhengxia Pan; Ling He
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  7 in total

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