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Amyloid β influences the relationship between cortical thickness and vascular load
by
Parker, Thomas D.
, Lane, Christopher A.
, Malone, Ian B.
, Keuss, Sarah E.
, Sudre, Carole H.
, Cash, David M.
, Nicholas, Jennifer M.
, Lu, Kirsty
, Richards, Marcus
, James, Sarah‐Naomi
, Fox, Nick C.
, Thomas, David L.
, Schott, Jonathan M.
, Murray‐Smith, Heidi
, Wong, Andrew
, Buchanan, Sarah M.
, Keshavan, Ashvini
, Crutch, Sebastian J.
in
Alzheimer's disease
/ amyloid
/ Automation
/ biomarker
/ Biomarkers
/ Cognitive ability
/ cognitively normal
/ cortical thickness
/ Dementia
/ Educational attainment
/ Magnetic resonance imaging
/ Memory
/ MRC National Survey of Health and Development
/ Neurodegeneration
/ Neuroimaging
/ Quality control
/ Questionnaires
/ Standard deviation
/ Tomography
/ white matter hyperintensities
2020
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Amyloid β influences the relationship between cortical thickness and vascular load
by
Parker, Thomas D.
, Lane, Christopher A.
, Malone, Ian B.
, Keuss, Sarah E.
, Sudre, Carole H.
, Cash, David M.
, Nicholas, Jennifer M.
, Lu, Kirsty
, Richards, Marcus
, James, Sarah‐Naomi
, Fox, Nick C.
, Thomas, David L.
, Schott, Jonathan M.
, Murray‐Smith, Heidi
, Wong, Andrew
, Buchanan, Sarah M.
, Keshavan, Ashvini
, Crutch, Sebastian J.
in
Alzheimer's disease
/ amyloid
/ Automation
/ biomarker
/ Biomarkers
/ Cognitive ability
/ cognitively normal
/ cortical thickness
/ Dementia
/ Educational attainment
/ Magnetic resonance imaging
/ Memory
/ MRC National Survey of Health and Development
/ Neurodegeneration
/ Neuroimaging
/ Quality control
/ Questionnaires
/ Standard deviation
/ Tomography
/ white matter hyperintensities
2020
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Amyloid β influences the relationship between cortical thickness and vascular load
by
Parker, Thomas D.
, Lane, Christopher A.
, Malone, Ian B.
, Keuss, Sarah E.
, Sudre, Carole H.
, Cash, David M.
, Nicholas, Jennifer M.
, Lu, Kirsty
, Richards, Marcus
, James, Sarah‐Naomi
, Fox, Nick C.
, Thomas, David L.
, Schott, Jonathan M.
, Murray‐Smith, Heidi
, Wong, Andrew
, Buchanan, Sarah M.
, Keshavan, Ashvini
, Crutch, Sebastian J.
in
Alzheimer's disease
/ amyloid
/ Automation
/ biomarker
/ Biomarkers
/ Cognitive ability
/ cognitively normal
/ cortical thickness
/ Dementia
/ Educational attainment
/ Magnetic resonance imaging
/ Memory
/ MRC National Survey of Health and Development
/ Neurodegeneration
/ Neuroimaging
/ Quality control
/ Questionnaires
/ Standard deviation
/ Tomography
/ white matter hyperintensities
2020
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Amyloid β influences the relationship between cortical thickness and vascular load
Journal Article
Amyloid β influences the relationship between cortical thickness and vascular load
2020
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Overview
Introduction Cortical thickness has been proposed as a biomarker of Alzheimer's disease (AD)– related neurodegeneration, but the nature of its relationship with amyloid beta (Aβ) deposition and white matter hyperintensity volume (WMHV) in cognitively normal adults is unclear. Methods We investigated the influences of Aβ status (negative/positive) and WMHV on cortical thickness in 408 cognitively normal adults aged 69.2 to 71.9 years who underwent 18F‐Florbetapir positron emission tomography (PET) and structural magnetic resonance imaging (MRI). Two previously defined Alzheimer's disease (AD) cortical signature regions and the major cortical lobes were selected as regions of interest (ROIs) for cortical thickness. Results Higher WMHV, but not Aβ status, predicted lower cortical thickness across all participants, in all ROIs. Conversely, when Aβ‐positive participants were considered alone, higher WMHV predicted higher cortical thickness in a temporal AD‐signature region. Discussion WMHV may differentially influence cortical thickness depending on the presence or absence of Aβ, potentially reflecting different pathological mechanisms.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc,Wiley
Subject
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