Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/16744
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DC Field | Value | Language |
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dc.contributor.author | Ayton, Scott | - |
dc.contributor.author | Fazlollahi, Amir | - |
dc.contributor.author | Bourgeat, Pierrick | - |
dc.contributor.author | Raniga, Parnesh | - |
dc.contributor.author | Ng, Amanda | - |
dc.contributor.author | Lim, Yen Ying | - |
dc.contributor.author | Diouf, Ibrahima | - |
dc.contributor.author | Farquharson, Shawna | - |
dc.contributor.author | Fripp, Jurgen | - |
dc.contributor.author | Ames, David | - |
dc.contributor.author | Doecke, James D | - |
dc.contributor.author | Desmond, Patricia | - |
dc.contributor.author | Ordidge, Roger | - |
dc.contributor.author | Masters, Colin L | - |
dc.contributor.author | Rowe, Christopher C | - |
dc.contributor.author | Maruff, Paul | - |
dc.contributor.author | Villemagne, Victor L | - |
dc.contributor.author | Australian Imaging, Biomarkers and Lifestyle (AIBL) Research Group | - |
dc.contributor.author | Salvado, Olivier | - |
dc.contributor.author | Bush, Ashley I | - |
dc.date | 2017-07-24 | - |
dc.date.accessioned | 2017-07-27T07:25:23Z | - |
dc.date.available | 2017-07-27T07:25:23Z | - |
dc.date.issued | 2017-07-24 | - |
dc.identifier.citation | Brain 2017; 140(8): 2112-2119 | en |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/16744 | - |
dc.description.abstract | See Derry and Kent (doi:10.1093/awx167) for a scientific commentary on this article. The large variance in cognitive deterioration in subjects who test positive for amyloid-β by positron emission tomography indicates that convergent pathologies, such as iron accumulation, might combine with amyloid-β to accelerate Alzheimer’s disease progression. Here, we applied quantitative susceptibility mapping, a relatively new magnetic resonance imaging method sensitive to tissue iron, to assess the relationship between iron, amyloid-β load, and cognitive decline in 117 subjects who underwent baseline magnetic resonance imaging and amyloid-β positron emission tomography from the Australian Imaging, Biomarkers and Lifestyle study (AIBL). Cognitive function data were collected every 18 months for up to 6 years from 100 volunteers who were either cognitively normal (n = 64) or diagnosed with mild cognitive impairment (n = 17) or Alzheimer’s disease (n = 19). Among participants with amyloid pathology (n = 45), higher hippocampal quantitative susceptibility mapping levels predicted accelerated deterioration in composite cognition tests for episodic memory [β(standard error) = −0.169 (0.034), P = 9.2 × 10−7], executive function [β(standard error) = −0.139 (0.048), P = 0.004), and attention [β(standard error) = −0.074 (0.029), P = 0.012]. Deteriorating performance in a composite of language tests was predicted by higher quantitative susceptibility mapping levels in temporal lobe [β(standard error) = −0.104 (0.05), P = 0.036] and frontal lobe [β(standard error) = −0.154 (0.055), P = 0.006]. These findings indicate that brain iron might combine with amyloid-β to accelerate clinical progression and that quantitative susceptibility mapping could be used in combination with amyloid-β positron emission tomography to stratify individuals at risk of decline. | en |
dc.subject | Quantitative Susceptibility Mapping | en |
dc.subject | MRI | en |
dc.subject | iron | en |
dc.subject | Alzheimer’s | en |
dc.subject | Cognitive decline | en |
dc.title | Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline | en |
dc.type | Journal Article | en |
dc.identifier.journaltitle | Brain | en |
dc.identifier.affiliation | Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Queensland, Australia | en |
dc.identifier.affiliation | Cooperative Research Centre for Mental Health, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | National Ageing Research Institute, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | University of Melbourne Academic Unit for the Psychiatry of Old Age, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | Department of Medicine and Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | Austin Health, Heidelberg, Victoria, Australia | en |
dc.identifier.affiliation | Cogstate Ltd, Melbourne, Victoria, Australia | en |
dc.identifier.doi | 10.1093/brain/awx137 | en |
dc.type.content | Text | en |
dc.identifier.orcid | 0000-0002-2605-4766 | en |
dc.identifier.orcid | 0000-0003-3910-2453 | en |
dc.identifier.orcid | 0000-0001-8259-9069 | en |
dc.type.austin | Journal Article | en_US |
local.name.researcher | Farquharson, Shawna | |
item.openairetype | Journal Article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | The Florey Institute of Neuroscience and Mental Health | - |
crisitem.author.dept | The Florey Institute of Neuroscience and Mental Health | - |
crisitem.author.dept | Molecular Imaging and Therapy | - |
crisitem.author.dept | Molecular Imaging and Therapy | - |
Appears in Collections: | Journal articles |
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