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Keuss SE, Coath W, Cash DM, Barnes J, Nicholas JM, Lane CA, Parker TD, Keshavan A, Buchanan SM, Wagen AZ, Storey M, Harris M, Lu K, James SN, Street R, Malone IB, Sudre CH, Thomas DL, Dickson JC, Barkhof F, Murray-Smith H, Wong A, Richards M, Fox NC, Schott JM. Rates of cortical thinning in Alzheimer's disease signature regions associate with vascular burden but not with β-amyloid status in cognitively normal adults at age 70. J Neurol Neurosurg Psychiatry 2024:jnnp-2023-332067. [PMID: 38199813 DOI: 10.1136/jnnp-2023-332067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Consistent patterns of reduced cortical thickness have been identified in early Alzheimer's disease (AD). However, the pathological factors that influence rates of cortical thinning within these AD signature regions remain unclear. METHODS Participants were from the Insight 46 substudy of the MRC National Survey of Health and Development (NSHD; 1946 British birth cohort), a prospective longitudinal cohort study. Linear regression was used to examine associations of baseline cerebral β-amyloid (Aβ) deposition, measured using florbetapir positron emission tomography, and baseline white matter hyperintensity volume (WMHV) on MRI, a marker of cerebral small vessel disease, with subsequent longitudinal changes in AD signature cortical thickness quantified from baseline and repeat MRI (mean [SD] interval 2.4 [0.2] years). RESULTS In a population-based sample of 337 cognitively normal older white adults (mean [SD] age at baseline 70.5 [0.6] years; 48.1% female), higher global WMHV at baseline related to faster subsequent rates of cortical thinning in both AD signature regions (~0.15%/year faster per 10 mL additional WMHV), whereas baseline Aβ status did not. Among Aβ positive participants (n=56), there was some evidence that greater global Aβ standardised uptake value ratio at baseline related to faster cortical thinning in the AD signature Mayo region, but this did not reach statistical significance (p=0.08). CONCLUSIONS Cortical thinning within AD signature regions may develop via cerebrovascular pathways. Perhaps reflecting the age of the cohort and relatively low prevalence of Aβ-positivity, robust Aβ-related differences were not detected. Longitudinal follow-up incorporating additional biomarkers will allow assessment of how these relationships evolve closer to expected dementia onset.
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Affiliation(s)
- Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Dementia Research Institute, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Aaron Z Wagen
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Neurodegeneration Biology Laboratory, The Francis Crick Institute, London, UK
- Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Mathew Storey
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Matthew Harris
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Rebecca Street
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carole H Sudre
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Centre for Medical Imaging Computing, University College London, London, UK
| | - David L Thomas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Brain Repair and Neurorehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - John C Dickson
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Frederik Barkhof
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Centre for Medical Imaging Computing, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Dementia Research Institute, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
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James SN, Manning EN, Storey M, Nicholas JM, Coath W, Keuss SE, Cash DM, Lane CA, Parker T, Keshavan A, Buchanan SM, Wagen A, Harris M, Malone I, Lu K, Needham LP, Street R, Thomas D, Dickson J, Murray-Smith H, Wong A, Freiberger T, Crutch SJ, Fox NC, Richards M, Barkhof F, Sudre CH, Barnes J, Schott JM. Neuroimaging, clinical and life course correlates of normal-appearing white matter integrity in 70-year-olds. Brain Commun 2023; 5:fcad225. [PMID: 37680671 PMCID: PMC10481255 DOI: 10.1093/braincomms/fcad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 05/30/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
We investigate associations between normal-appearing white matter microstructural integrity in cognitively normal ∼70-year-olds and concurrently measured brain health and cognition, demographics, genetics and life course cardiovascular health. Participants born in the same week in March 1946 (British 1946 birth cohort) underwent PET-MRI around age 70. Mean standardized normal-appearing white matter integrity metrics (fractional anisotropy, mean diffusivity, neurite density index and orientation dispersion index) were derived from diffusion MRI. Linear regression was used to test associations between normal-appearing white matter metrics and (i) concurrent measures, including whole brain volume, white matter hyperintensity volume, PET amyloid and cognition; (ii) the influence of demographic and genetic predictors, including sex, childhood cognition, education, socio-economic position and genetic risk for Alzheimer's disease (APOE-ɛ4); (iii) systolic and diastolic blood pressure and cardiovascular health (Framingham Heart Study Cardiovascular Risk Score) across adulthood. Sex interactions were tested. Statistical significance included false discovery rate correction (5%). Three hundred and sixty-two participants met inclusion criteria (mean age 70, 49% female). Higher white matter hyperintensity volume was associated with lower fractional anisotropy [b = -0.09 (95% confidence interval: -0.11, -0.06), P < 0.01], neurite density index [b = -0.17 (-0.22, -0.12), P < 0.01] and higher mean diffusivity [b = 0.14 (-0.10, -0.17), P < 0.01]; amyloid (in men) was associated with lower fractional anisotropy [b = -0.04 (-0.08, -0.01), P = 0.03)] and higher mean diffusivity [b = 0.06 (0.01, 0.11), P = 0.02]. Framingham Heart Study Cardiovascular Risk Score in later-life (age 69) was associated with normal-appearing white matter {lower fractional anisotropy [b = -0.06 (-0.09, -0.02) P < 0.01], neurite density index [b = -0.10 (-0.17, -0.03), P < 0.01] and higher mean diffusivity [b = 0.09 (0.04, 0.14), P < 0.01]}. Significant sex interactions (P < 0.05) emerged for midlife cardiovascular health (age 53) and normal-appearing white matter at 70: marginal effect plots demonstrated, in women only, normal-appearing white matter was associated with higher midlife Framingham Heart Study Cardiovascular Risk Score (lower fractional anisotropy and neurite density index), midlife systolic (lower fractional anisotropy, neurite density index and higher mean diffusivity) and diastolic (lower fractional anisotropy and neurite density index) blood pressure and greater blood pressure change between 43 and 53 years (lower fractional anisotropy and neurite density index), independently of white matter hyperintensity volume. In summary, poorer normal-appearing white matter microstructural integrity in ∼70-year-olds was associated with measures of cerebral small vessel disease, amyloid (in males) and later-life cardiovascular health, demonstrating how normal-appearing white matter can provide additional information to overt white matter disease. Our findings further show that greater 'midlife' cardiovascular risk and higher blood pressure were associated with poorer normal-appearing white matter microstructural integrity in females only, suggesting that women's brains may be more susceptible to the effects of midlife blood pressure and cardiovascular health.
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Affiliation(s)
- Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Emily N Manning
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Mathew Storey
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Aaron Wagen
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Mathew Harris
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ian Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Louisa P Needham
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Rebecca Street
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David Thomas
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospitals Foundation Trust, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Tamar Freiberger
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
- School of Biomedical Engineering, King’s College, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jonathan M Schott
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
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Coath W, Modat M, Cardoso MJ, Markiewicz PJ, Lane CA, Parker TD, Keshavan A, Buchanan SM, Keuss SE, Harris MJ, Burgos N, Dickson J, Barnes A, Thomas DL, Beasley D, Malone IB, Wong A, Erlandsson K, Thomas BA, Schöll M, Ourselin S, Richards M, Fox NC, Schott JM, Cash DM. Operationalizing the centiloid scale for [ 18F]florbetapir PET studies on PET/MRI. Alzheimers Dement (Amst) 2023; 15:e12434. [PMID: 37201176 PMCID: PMC10186069 DOI: 10.1002/dad2.12434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/03/2023] [Accepted: 02/19/2023] [Indexed: 05/20/2023]
Abstract
INTRODUCTION The Centiloid scale aims to harmonize amyloid beta (Aβ) positron emission tomography (PET) measures across different analysis methods. As Centiloids were created using PET/computerized tomography (CT) data and are influenced by scanner differences, we investigated the Centiloid transformation with data from Insight 46 acquired with PET/magnetic resonanceimaging (MRI). METHODS We transformed standardized uptake value ratios (SUVRs) from 432 florbetapir PET/MRI scans processed using whole cerebellum (WC) and white matter (WM) references, with and without partial volume correction. Gaussian-mixture-modelling-derived cutpoints for Aβ PET positivity were converted. RESULTS The Centiloid cutpoint was 14.2 for WC SUVRs. The relationship between WM and WC uptake differed between the calibration and testing datasets, producing implausibly low WM-based Centiloids. Linear adjustment produced a WM-based cutpoint of 18.1. DISCUSSION Transformation of PET/MRI florbetapir data to Centiloids is valid. However, further understanding of the effects of acquisition or biological factors on the transformation using a WM reference is needed. HIGHLIGHTS Centiloid conversion of amyloid beta positron emission tomography (PET) data aims to standardize results.Centiloid values can be influenced by differences in acquisition.We converted florbetapir PET/magnetic resonance imaging data from a large birth cohort.Whole cerebellum referenced values could be reliably transformed to Centiloids.White matter referenced values may be less generalizable between datasets.
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Affiliation(s)
- William Coath
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Marc Modat
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - M. Jorge Cardoso
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Pawel J. Markiewicz
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUCLLondonUK
| | | | - Thomas D. Parker
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Sarah M. Buchanan
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Sarah E. Keuss
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Matthew J. Harris
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Ninon Burgos
- Sorbonne Université, Institut du Cerveau ‐ Paris Brain Institute ‐ ICM, Inserm, CNRS, AP‐HP, Hôpital Pitié Salpêtrière, InriaAramis project‐teamParisFrance
| | - John Dickson
- Institute of Nuclear MedicineUniversity College London HospitalsLondonUK
| | - Anna Barnes
- Institute of Nuclear MedicineUniversity College London HospitalsLondonUK
| | - David L. Thomas
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
- Department of Brain Repair and RehabilitationUCL Queen Square Institute of NeurologyLondonUK
- Wellcome Centre for Human Neuroimaging, Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Daniel Beasley
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | - Ian B. Malone
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCLLondonUK
| | - Kjell Erlandsson
- Institute of Nuclear MedicineUniversity College London HospitalsLondonUK
| | - Benjamin A. Thomas
- Institute of Nuclear MedicineUniversity College London HospitalsLondonUK
| | - Michael Schöll
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgMölndalSweden
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| | | | - Nick C. Fox
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
- Dementia Research InstituteUCL Queen Square Institute of NeurologyLondonUK
| | | | - David M. Cash
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUCLLondonUK
- Dementia Research InstituteUCL Queen Square Institute of NeurologyLondonUK
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James SN, Nicholas JM, Lu K, Keshavan A, Lane CA, Parker T, Buchanan SM, Keuss SE, Murray-Smith H, Wong A, Cash DM, Malone IB, Barnes J, Sudre CH, Coath W, Modat M, Ourselin S, Crutch SJ, Kuh D, Fox NC, Schott JM, Richards M. Adulthood cognitive trajectories over 26 years and brain health at 70 years of age: findings from the 1946 British Birth Cohort. Neurobiol Aging 2023; 122:22-32. [PMID: 36470133 PMCID: PMC10564626 DOI: 10.1016/j.neurobiolaging.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 10/06/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Few studies can address how adulthood cognitive trajectories relate to brain health in 70-year-olds. Participants (n = 468, 49% female) from the 1946 British birth cohort underwent 18F-Florbetapir PET/MRI. Cognitive function was measured in childhood (age 8 years) and across adulthood (ages 43, 53, 60-64 and 69 years) and was examined in relation to brain health markers of β-amyloid (Aβ) status, whole brain and hippocampal volume, and white matter hyperintensity volume (WMHV). Taking into account key contributors of adult cognitive decline including childhood cognition, those with greater Aβ and WMHV at age 70 years had greater decline in word-list learning memory in the preceding 26 years, particularly after age 60. In contrast, those with smaller whole brain and hippocampal volume at age 70 years had greater decline in processing search speed, subtly manifest from age 50 years. Subtle changes in memory and processing speed spanning 26 years of adulthood were associated with markers of brain health at 70 years of age, consistent with detectable prodromal cognitive effects in early older age.
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Affiliation(s)
- Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, UK; Department of Medicine, Division of Brain Sciences, Imperial College London
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; UK Dementia Research Institute at UCL, University College London, London, UK
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marc Modat
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sebastien Ourselin
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; UK Dementia Research Institute at UCL, University College London, London, UK
| | - Jonathan M Schott
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK; UK Dementia Research Institute at UCL, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
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Keuss SE, Cash DM, Nicholas JM, Parker TD, Lane CA, Keshavan A, Buchanan SM, Wagen AZ, Storey M, Harris MJ, Lu K, James S, Street RE, Barnes J, Malone IB, Sudre CH, Thomas DL, Dickson J, Murray‐Smith H, Freiberger T, Wong A, Crutch SJ, Richards M, Fox NC, Schott JM, Coath W. Rates of cortical thinning in Alzheimer’s disease signature regions: pathological influences and cognitive consequences in members of the 1946 British birth cohort. Alzheimers Dement 2022. [DOI: 10.1002/alz.067336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - David M Cash
- Institute of Neurology, University College London London United Kingdom
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine London United Kingdom
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- UK DRI Centre for Care Research and Technology, Imperial College London London United Kingdom
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Aaron Z Wagen
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Mathew Storey
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Matthew J Harris
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Rebecca E Street
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Jo Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- School of Biomedical Engineering and Imaging Sciences, King’s College London London United Kingdom
- Centre for Medical Image Computing, University College London London United Kingdom
- MRC Unit for Lifelong Health and Ageing at UCL, University College London London United Kingdom
| | - David L Thomas
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology London United Kingdom
| | - John Dickson
- UCL Institute of Nuclear Medicine London United Kingdom
| | - Heidi Murray‐Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Tamar Freiberger
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- UK Dementia Research Institute, UCL London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
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Wagen AZ, Coath W, Keshavan A, James SN, Parker TD, Lane CA, Buchanan SM, Keuss SE, Storey M, Lu K, Macdougall A, Murray-Smith H, Freiberger T, Cash DM, Malone IB, Barnes J, Sudre CH, Wong A, Pavisic IM, Street R, Crutch SJ, Escott-Price V, Leonenko G, Zetterberg H, Wellington H, Heslegrave A, Barkhof F, Richards M, Fox NC, Cole JH, Schott JM. Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study. Lancet Healthy Longev 2022; 3:e607-e616. [PMID: 36102775 PMCID: PMC10499760 DOI: 10.1016/s2666-7568(22)00167-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND A neuroimaging-based biomarker termed the brain age is thought to reflect variability in the brain's ageing process and predict longevity. Using Insight 46, a unique narrow-age birth cohort, we aimed to examine potential drivers and correlates of brain age. METHODS Participants, born in a single week in 1946 in mainland Britain, have had 24 prospective waves of data collection to date, including MRI and amyloid PET imaging at approximately 70 years old. Using MRI data from a previously defined selection of this cohort, we derived brain-predicted age from an established machine-learning model (trained on 2001 healthy adults aged 18-90 years); subtracting this from chronological age (at time of assessment) gave the brain-predicted age difference (brain-PAD). We tested associations with data from early life, midlife, and late life, as well as rates of MRI-derived brain atrophy. FINDINGS Between May 28, 2015, and Jan 10, 2018, 502 individuals were assessed as part of Insight 46. We included 456 participants (225 female), with a mean chronological age of 70·7 years (SD 0·7; range 69·2 to 71·9). The mean brain-predicted age was 67·9 years (8·2, 46·3 to 94·3). Female sex was associated with a 5·4-year (95% CI 4·1 to 6·8) younger brain-PAD than male sex. An increase in brain-PAD was associated with increased cardiovascular risk at age 36 years (β=2·3 [95% CI 1·5 to 3·0]) and 69 years (β=2·6 [1·9 to 3·3]); increased cerebrovascular disease burden (1·9 [1·3 to 2·6]); lower cognitive performance (-1·3 [-2·4 to -0·2]); and increased serum neurofilament light concentration (1·2 [0·6 to 1·9]). Higher brain-PAD was associated with future hippocampal atrophy over the subsequent 2 years (0·003 mL/year [0·000 to 0·006] per 5-year increment in brain-PAD). Early-life factors did not relate to brain-PAD. Combining 12 metrics in a hierarchical partitioning model explained 33% of the variance in brain-PAD. INTERPRETATION Brain-PAD was associated with cardiovascular risk, and imaging and biochemical markers of neurodegeneration. These findings support brain-PAD as an integrative summary metric of brain health, reflecting multiple contributions to pathological brain ageing, and which might have prognostic utility. FUNDING Alzheimer's Research UK, Medical Research Council Dementia Platforms UK, Selfridges Group Foundation, Wolfson Foundation, Wellcome Trust, Brain Research UK, Alzheimer's Association.
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Affiliation(s)
- Aaron Z Wagen
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London, UK; Neurodegeneration Biology Laboratory, The Francis Crick Institute, London, UK
| | - William Coath
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Sarah-Naomi James
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute Centre for Care Research and Technology, Imperial College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Mathew Storey
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Kirsty Lu
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Amy Macdougall
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Tamar Freiberger
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK
| | - Ian B Malone
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Josephine Barnes
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Carole H Sudre
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK; Department of Computer Science, Centre for Medical Imaging Computing, University College London, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Andrew Wong
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Ivanna M Pavisic
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Rebecca Street
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | | | - Ganna Leonenko
- Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Henrik Zetterberg
- Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrietta Wellington
- Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK
| | - Amanda Heslegrave
- Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK
| | - Frederik Barkhof
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK; Department of Computer Science, Centre for Medical Imaging Computing, University College London, London, UK; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, Netherlands
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK
| | - James H Cole
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Department of Computer Science, Centre for Medical Imaging Computing, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK; Dementia Research Institute, University College London Queen Square Institute of Neurology, London, UK.
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Keuss SE, Coath W, Nicholas JM, Poole T, Barnes J, Cash DM, Lane CA, Parker TD, Keshavan A, Buchanan SM, Wagen AZ, Storey M, Harris M, Malone IB, Sudre CH, Lu K, James SN, Street R, Thomas DL, Dickson JC, Murray-Smith H, Wong A, Freiberger T, Crutch S, Richards M, Fox NC, Schott JM. Associations of β-Amyloid and Vascular Burden With Rates of Neurodegeneration in Cognitively Normal Members of the 1946 British Birth Cohort. Neurology 2022; 99:e129-e141. [PMID: 35410910 PMCID: PMC9280996 DOI: 10.1212/wnl.0000000000200524] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/01/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The goals of this work were to quantify the independent and interactive associations of β-amyloid (Aβ) and white matter hyperintensity volume (WMHV), a marker of presumed cerebrovascular disease (CVD), with rates of neurodegeneration and to examine the contributions of APOE ε4 and vascular risk measured at different stages of adulthood in cognitively normal members of the 1946 British Birth Cohort. METHODS Participants underwent brain MRI and florbetapir-Aβ PET as part of Insight 46, an observational population-based study. Changes in whole-brain, ventricular, and hippocampal volume were directly measured from baseline and repeat volumetric T1 MRI with the boundary shift integral. Linear regression was used to test associations with baseline Aβ deposition, baseline WMHV, APOE ε4, and office-based Framingham Heart Study Cardiovascular Risk Score (FHS-CVS) and systolic blood pressure (BP) at ages 36, 53, and 69 years. RESULTS Three hundred forty-six cognitively normal participants (mean [SD] age at baseline scan 70.5 [0.6] years; 48% female) had high-quality T1 MRI data from both time points (mean [SD] scan interval 2.4 [0.2] years). Being Aβ positive at baseline was associated with 0.87-mL/y faster whole-brain atrophy (95% CI 0.03, 1.72), 0.39-mL/y greater ventricular expansion (95% CI 0.16, 0.64), and 0.016-mL/y faster hippocampal atrophy (95% CI 0.004, 0.027), while each 10-mL additional WMHV at baseline was associated with 1.07-mL/y faster whole-brain atrophy (95% CI 0.47, 1.67), 0.31-mL/y greater ventricular expansion (95% CI 0.13, 0.60), and 0.014-mL/y faster hippocampal atrophy (95% CI 0.006, 0.022). These contributions were independent, and there was no evidence that Aβ and WMHV interacted in their effects. There were no independent associations of APOE ε4 with rates of neurodegeneration after adjustment for Aβ status and WMHV, no clear relationships between FHS-CVS or systolic BP and rates of neurodegeneration when assessed across the whole sample, and no evidence that FHS-CVS or systolic BP acted synergistically with Aβ. DISCUSSION Aβ and presumed CVD have distinct and additive effects on rates of neurodegeneration in cognitively normal elderly. These findings have implications for the use of MRI measures as biomarkers of neurodegeneration and emphasize the importance of risk management and early intervention targeting both pathways.
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Affiliation(s)
- Sarah E Keuss
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - William Coath
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jennifer M Nicholas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Teresa Poole
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Josephine Barnes
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David M Cash
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Christopher A Lane
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Thomas D Parker
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ashvini Keshavan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah M Buchanan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Aaron Z Wagen
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Mathew Storey
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Matthew Harris
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ian B Malone
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Carole H Sudre
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Kirsty Lu
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah-Naomi James
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Rebecca Street
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David L Thomas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - John C Dickson
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Heidi Murray-Smith
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Andrew Wong
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Tamar Freiberger
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sebastian Crutch
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Marcus Richards
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Nick C Fox
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jonathan M Schott
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK.
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8
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Wagen AZ, Zarkali A, Coath W, Buchanan SM, Keuss SE, Keshavan A, Lu K, James S, Pavisic IM, Street RE, Parker TD, Lane CA, Murray‐Smith H, Cash DM, Malone IB, Wong A, Richards M, Fox NC, Altmann A, Cole JH, Weil RS, Schott JM. Fixel‐based analysis of the effect of amyloid beta on white matter tracts in neurologically normal 70 year olds. Alzheimers Dement 2021. [DOI: 10.1002/alz.056187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Aaron Z. Wagen
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Angeliki Zarkali
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah M. Buchanan
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Ivanna M. Pavisic
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
- Dementia Research Institute UCL London United Kingdom
| | - Rebecca E. Street
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Christopher A. Lane
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Heidi Murray‐Smith
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - David M. Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B. Malone
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Nick C. Fox
- Dementia Research Centre London United Kingdom
| | - Andre Altmann
- Centre for Medical Image Computing University College London London United Kingdom
| | - James H. Cole
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
- Centre of Medical Image Computing UCL Department of Medical Physics London United Kingdom
| | - Rimona S. Weil
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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9
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Lu K, Nicholas JM, Pertzov Y, Grogan J, Husain M, Pavisic IM, James SN, Parker TD, Lane CA, Keshavan A, Keuss SE, Buchanan SM, Murray-Smith H, Cash DM, Malone IB, Sudre CH, Coath W, Wong A, Henley SM, Fox NC, Richards M, Schott JM, Crutch SJ. Dissociable effects of APOE-ε4 and β-amyloid pathology on visual working memory. Nat Aging 2021; 1:1002-1009. [PMID: 34806027 PMCID: PMC7612005 DOI: 10.1038/s43587-021-00117-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 08/17/2021] [Indexed: 01/21/2023]
Abstract
Although APOE-ε4 carriers are at significantly higher risk of developing Alzheimer's disease than non-carriers1, controversial evidence suggests that APOE-ε4 might confer some advantages, explaining the survival of this gene (antagonistic pleiotropy)2,3. In a population-based cohort born in one week in 1946 (assessed aged 69-71), we assessed differential effects of APOE-ε4 and β-amyloid pathology (quantified using 18F-Florbetapir-PET) on visual working memory (object-location binding). In 398 cognitively normal participants, APOE-ε4 and β-amyloid had opposing effects on object identification, predicting better and poorer recall respectively. ε4-carriers also recalled locations more precisely, with a greater advantage at higher β-amyloid burden. These results provide evidence of superior visual working memory in ε4-carriers, showing that some benefits of this genotype are demonstrable in older age, even in the preclinical stages of Alzheimer's disease.
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Affiliation(s)
- Kirsty Lu
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jennifer M. Nicholas
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Yoni Pertzov
- Department of Psychology, The Hebrew University of Jerusalem, Israel
| | - John Grogan
- Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Masud Husain
- Nuffield Department of Clinical Neurosciences, University of Oxford, UK
- Department of Experimental Psychology, University of Oxford, UK
| | - Ivanna M. Pavisic
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Thomas D. Parker
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher A. Lane
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E. Keuss
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M. Buchanan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M. Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute at UCL, University College London, London, UK
| | - Ian B. Malone
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carole H. Sudre
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - William Coath
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Susie M.D. Henley
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nick C. Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute at UCL, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Jonathan M. Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sebastian J. Crutch
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
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Pavisic IM, Lu K, Keuss SE, James SN, Lane CA, Parker TD, Keshavan A, Buchanan SM, Murray-Smith H, Cash DM, Coath W, Wong A, Fox NC, Crutch SJ, Richards M, Schott JM. Subjective cognitive complaints at age 70: associations with amyloid and mental health. J Neurol Neurosurg Psychiatry 2021; 92:1215-1221. [PMID: 34035132 PMCID: PMC8522456 DOI: 10.1136/jnnp-2020-325620] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/08/2021] [Accepted: 04/28/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To investigate subjective cognitive decline (SCD) in relation to β-amyloid pathology and to test for associations with anxiety, depression, objective cognition and family history of dementia in the Insight 46 study. METHODS Cognitively unimpaired ~70-year-old participants, all born in the same week in 1946 (n=460, 49% female, 18% amyloid-positive), underwent assessments including the SCD-Questionnaire (MyCog). MyCog scores were evaluated with respect to 18F-Florbetapir-PET amyloid status (positive/negative). Associations with anxiety, depression, objective cognition (measured by the Preclinical Alzheimer Cognitive Composite, PACC) and family history of dementia were also investigated. The informant's perspective on SCD was evaluated in relation to MyCog score. RESULTS Anxiety (mean (SD) trait anxiety score: 4.4 (3.9)) was associated with higher MyCog scores, especially in women. MyCog scores were higher in amyloid-positive compared with amyloid-negative individuals (adjusted means (95% CIs): 5.3 (4.4 to 6.1) vs 4.3 (3.9 to 4.7), p=0.044), after accounting for differences in anxiety. PACC (mean (SD) -0.05 (0.68)) and family history of dementia (prevalence: 23.9%) were not independently associated with MyCog scores. The informant's perception of SCD was generally in accordance with that of the participant. CONCLUSIONS This cross-sectional study demonstrates that symptoms of SCD are associated with both β-amyloid pathology, and more consistently, trait anxiety in a population-based cohort of older adults, at an age when those who are destined to develop dementia are still likely to be some years away from symptoms. This highlights the necessity of considering anxiety symptoms when assessing Alzheimer's disease pathology and SCD.
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Affiliation(s)
- Ivanna M Pavisic
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah-Naomi James
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - William Coath
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
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11
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Buchanan SM, Richards M, Schott JM, Schrag A. Mild Parkinsonian Signs: A Systematic Review of Clinical, Imaging, and Pathological Associations. Mov Disord 2021; 36:2481-2493. [PMID: 34562045 DOI: 10.1002/mds.28777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/29/2021] [Accepted: 08/09/2021] [Indexed: 11/07/2022] Open
Abstract
Mild parkinsonian signs (MPS) have been widely studied during the past 3 decades and proposed as a risk marker for neurodegenerative disease. This systematic review explores the epidemiology, clinical and prognostic associations, radiological features, and pathological findings associated with MPS in older adults free from neurodegenerative disease. We find that MPS as currently defined are strongly associated with increasing age and increased risk of development of Parkinson's disease (PD), all-cause dementia, disability, and death. Positive associations with later PD are found mainly in younger populations and those with other features of prodromal PD. There are currently no consistent radiological findings for MPS, and pathological studies have shown that MPS, at least in the oldest old, are often underpinned by mixed neuropathologies, including those associated with Alzheimer's disease, cerebrovascular disease, nigral neuronal loss, and Lewy bodies. Different subcategories of MPS appear to convey varying risk and specificity for PD and other outcomes. MPS overall are not specific for parkinsonian disorders and, although associated with increased risk of PD, can reflect multiple pathologies, particularly in older individuals. "Mild motor signs" appears a more appropriate term to avoid prognostic and pathological implications, and larger future studies to prospectively examine outcomes and associations of specific MPS subcategories are required. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Sarah M Buchanan
- Dementia Research Centre, University College London Institute of Neurology, University College London, London, United Kingdom
- Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, University College London Institute of Neurology, University College London, London, United Kingdom
| | - Anette Schrag
- Department of Clinical Neurosciences, UCL Institute of Neurology University College London, London, United Kingdom
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James SN, Nicholas JM, Lane CA, Parker TD, Lu K, Keshavan A, Buchanan SM, Keuss SE, Murray-Smith H, Wong A, Cash DM, Malone IB, Barnes J, Sudre CH, Coath W, Prosser L, Ourselin S, Modat M, Thomas DL, Cardoso J, Heslegrave A, Zetterberg H, Crutch SJ, Schott JM, Richards M, Fox NC. A population-based study of head injury, cognitive function and pathological markers. Ann Clin Transl Neurol 2021; 8:842-856. [PMID: 33694298 PMCID: PMC8045921 DOI: 10.1002/acn3.51331] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 02/12/2021] [Indexed: 02/01/2023] Open
Abstract
Objective To assess associations between head injury (HI) with loss of consciousness (LOC), ageing and markers of later‐life cerebral pathology; and to explore whether those effects may help explain subtle cognitive deficits in dementia‐free individuals. Methods Participants (n = 502, age = 69–71) from the 1946 British Birth Cohort underwent cognitive testing (subtests of Preclinical Alzheimer Cognitive Composite), 18F‐florbetapir Aβ‐PET and MR imaging. Measures include Aβ‐PET status, brain, hippocampal and white matter hyperintensity (WMH) volumes, normal appearing white matter (NAWM) microstructure, Alzheimer’s disease (AD)‐related cortical thickness, and serum neurofilament light chain (NFL). LOC HI metrics include HI occurring: (i) >15 years prior to the scan (ii) anytime up to age 71. Results Compared to those with no evidence of an LOC HI, only those reporting an LOC HI>15 years prior (16%, n = 80) performed worse on cognitive tests at age 69–71, taking into account premorbid cognition, particularly on the digit‐symbol substitution test (DSST). Smaller brain volume (BV) and adverse NAWM microstructural integrity explained 30% and 16% of the relationship between HI and DSST, respectively. We found no evidence that LOC HI was associated with Aβ load, hippocampal volume, WMH volume, AD‐related cortical thickness or NFL (all p > 0.01). Interpretation Having a LOC HI aged 50’s and younger was linked with lower later‐life cognitive function at age ~70 than expected. This may reflect a damaging but small impact of HI; explained in part by smaller BV and different microstructure pathways but not via pathology related to AD (amyloid, hippocampal volume, AD cortical thickness) or ongoing neurodegeneration (serum NFL).
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Affiliation(s)
- Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom.,Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom.,Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,School of Biomedical Engineering and Imaging Sciences, King's College London, Institute of Nuclear Medicine, University College London Hospitals, London, United Kingdom.,Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Lloyd Prosser
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King's College London, Institute of Nuclear Medicine, University College London Hospitals, London, United Kingdom
| | - Marc Modat
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,School of Biomedical Engineering and Imaging Sciences, King's College London, Institute of Nuclear Medicine, University College London Hospitals, London, United Kingdom
| | - David L Thomas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King's College London, Institute of Nuclear Medicine, University College London Hospitals, London, United Kingdom
| | - Amanda Heslegrave
- UK Dementia Research Institute at UCL, University College London, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, University College London, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,UK Dementia Research Institute at UCL, University College London, London, United Kingdom
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13
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Keshavan A, Pannee J, Karikari TK, Rodriguez JL, Ashton NJ, Nicholas JM, Cash DM, Coath W, Lane CA, Parker TD, Lu K, Buchanan SM, Keuss SE, James SN, Murray-Smith H, Wong A, Barnes A, Dickson JC, Heslegrave A, Portelius E, Richards M, Fox NC, Zetterberg H, Blennow K, Schott JM. Population-based blood screening for preclinical Alzheimer's disease in a British birth cohort at age 70. Brain 2021; 144:434-449. [PMID: 33479777 PMCID: PMC7940173 DOI: 10.1093/brain/awaa403] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/10/2020] [Accepted: 09/17/2020] [Indexed: 11/14/2022] Open
Abstract
Alzheimer's disease has a preclinical stage when cerebral amyloid-β deposition occurs before symptoms emerge, and when amyloid-β-targeted therapies may have maximum benefits. Existing amyloid-β status measurement techniques, including amyloid PET and CSF testing, are difficult to deploy at scale, so blood biomarkers are increasingly considered for screening. We compared three different blood-based techniques-liquid chromatography-mass spectrometry measures of plasma amyloid-β, and single molecule array (Simoa) measures of plasma amyloid-β and phospho-tau181-to detect cortical 18F-florbetapir amyloid PET positivity (defined as a standardized uptake value ratio of >0.61 between a predefined cortical region of interest and eroded subcortical white matter) in dementia-free members of Insight 46, a substudy of the population-based British 1946 birth cohort. We used logistic regression models with blood biomarkers as predictors of amyloid PET status, with or without age, sex and APOE ε4 carrier status as covariates. We generated receiver operating characteristics curves and quantified areas under the curves to compare the concordance of the different blood tests with amyloid PET. We determined blood test cut-off points using Youden's index, then estimated numbers needed to screen to obtain 100 amyloid PET-positive individuals. Of the 502 individuals assessed, 441 dementia-free individuals with complete data were included; 82 (18.6%) were amyloid PET-positive. The area under the curve for amyloid PET status using a base model comprising age, sex and APOE ε4 carrier status was 0.695 (95% confidence interval: 0.628-0.762). The two best-performing Simoa plasma biomarkers were amyloid-β42/40 (0.620; 0.548-0.691) and phospho-tau181 (0.707; 0.646-0.768), but neither outperformed the base model. Mass spectrometry plasma measures performed significantly better than any other measure (amyloid-β1-42/1-40: 0.817; 0.770-0.864 and amyloid-β composite: 0.820; 0.775-0.866). At a cut-off point of 0.095, mass spectrometry measures of amyloid-β1-42/1-40 detected amyloid PET positivity with 86.6% sensitivity and 71.9% specificity. Without screening, to obtain 100 PET-positive individuals from a population with similar amyloid PET positivity prevalence to Insight 46, 543 PET scans would need to be performed. Screening using age, sex and APOE ε4 status would require 940 individuals, of whom 266 would proceed to scan. Using mass spectrometry amyloid-β1-42/1-40 alone would reduce these numbers to 623 individuals and 243 individuals, respectively. Across a theoretical range of amyloid PET positivity prevalence of 10-50%, mass spectrometry measures of amyloid-β1-42/1-40 would consistently reduce the numbers proceeding to scans, with greater cost savings demonstrated at lower prevalence.
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Affiliation(s)
- Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Josef Pannee
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Thomas K Karikari
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juan Lantero Rodriguez
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Nicholas J Ashton
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- National Institute for Health Research Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation Trust, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | | | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - John C Dickson
- Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute Fluid Biomarkers Laboratory, UK DRI at UCL, London, UK
| | - Erik Portelius
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute Fluid Biomarkers Laboratory, UK DRI at UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
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14
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Keshavan A, Wellington H, Chen Z, Khatun A, Chapman M, Hart M, Cash DM, Coath W, Parker TD, Buchanan SM, Keuss SE, Harris MJ, Murray‐Smith H, Heslegrave A, Fox NC, Zetterberg H, Schott JM. Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays. Alzheimers Dement (Amst) 2021; 13:e12131. [PMID: 33598527 PMCID: PMC7867115 DOI: 10.1002/dad2.12131] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 01/19/2023]
Abstract
INTRODUCTION We assessed the concordance of cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau measured on the fully automated Lumipulse platform with pre-symptomatic Alzheimer's disease (AD) pathology on amyloid positron emission tomography (PET). METHODS In 72 individuals from the Insight 46 study, CSF Aβ40, Aβ42, total tau (t-tau), and phosphorylated tau at site 181 (p-tau181) were measured using Lumipulse, INNOTEST, and Meso Scale Discovery (MSD) assays and inter-platform Pearson correlations derived. Lumipulse Aβ42 measures were adjusted to incorporate standardization to certified reference materials. Logistic regressions and receiver operating characteristics analysis generated CSF cut-points optimizing concordance with 18F-florbetapir amyloid PET status (n = 63). RESULTS Measurements of CSF Aβ, p-tau181, and their ratios correlated well across platforms (r 0.84 to 0.94, P < .0001); those of t-tau and t-tau/Aβ42 correlated moderately (r 0.57 to 0.79, P < .0001). The best concordance with amyloid PET (100% sensitivity and 94% specificity) was afforded by cut-points of 0.075 for Lumipulse Aβ42/Aβ40, 0.087 for MSD Aβ42/Aβ40 and 17.3 for Lumipulse Aβ42/p-tau181. DISCUSSION The Lumipulse platform provides comparable sensitivity and specificity to established CSF immunoassays in identifying pre-symptomatic AD pathology.
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Affiliation(s)
- Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Henrietta Wellington
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Zhongbo Chen
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Ayesha Khatun
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Miles Chapman
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
| | - Melanie Hart
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
- Department of NeuroinflammationUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - David M. Cash
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - William Coath
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Thomas D. Parker
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah M. Buchanan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah E. Keuss
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Matthew J. Harris
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Heidi Murray‐Smith
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Amanda Heslegrave
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Nick C. Fox
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Henrik Zetterberg
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
- Clinical Neurochemistry Laboratory, Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University HospitalMölndalSweden
| | - Jonathan M Schott
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
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15
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Lu K, Nicholas JM, Weston PSJ, Stout JC, O’Regan AM, James SN, Buchanan SM, Lane CA, Parker TD, Keuss SE, Keshavan A, Murray-Smith H, Cash DM, Sudre CH, Malone IB, Coath W, Wong A, Richards M, Henley SMD, Fox NC, Schott JM, Crutch SJ. Visuomotor integration deficits are common to familial and sporadic preclinical Alzheimer's disease. Brain Commun 2021; 3:fcab003. [PMID: 33615219 PMCID: PMC7882207 DOI: 10.1093/braincomms/fcab003] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/04/2020] [Accepted: 12/08/2020] [Indexed: 11/26/2022] Open
Abstract
We investigated whether subtle visuomotor deficits were detectable in familial and sporadic preclinical Alzheimer's disease. A circle-tracing task-with direct and indirect visual feedback, and dual-task subtraction-was completed by 31 individuals at 50% risk of familial Alzheimer's disease (19 presymptomatic mutation carriers; 12 non-carriers) and 390 cognitively normal older adults (members of the British 1946 Birth Cohort, all born during the same week; age range at assessment = 69-71 years), who also underwent β-amyloid-PET/MRI to derive amyloid status (positive/negative), whole-brain volume and white matter hyperintensity volume. We compared preclinical Alzheimer's groups against controls cross-sectionally (mutation carriers versus non-carriers; amyloid-positive versus amyloid-negative) on speed and accuracy of circle-tracing and subtraction. Mutation carriers (mean 7 years before expected onset) and amyloid-positive older adults traced disproportionately less accurately than controls when visual feedback was indirect, and were slower at dual-task subtraction. In the older adults, the same pattern of associations was found when considering amyloid burden as a continuous variable (Standardized Uptake Value Ratio). The effect of amyloid was independent of white matter hyperintensity and brain volumes, which themselves were associated with different aspects of performance: greater white matter hyperintensity volume was also associated with disproportionately poorer tracing accuracy when visual feedback was indirect, whereas larger brain volume was associated with faster tracing and faster subtraction. Mutation carriers also showed evidence of poorer tracing accuracy when visual feedback was direct. This study provides the first evidence of visuomotor integration deficits common to familial and sporadic preclinical Alzheimer's disease, which may precede the onset of clinical symptoms by several years.
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Affiliation(s)
- Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Jennifer M Nicholas
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Philip S J Weston
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Julie C Stout
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Alison M O’Regan
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, London, WC1E 7HB, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, London, WC1E 7HB, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, SE1 7EU, UK
- Department of Medical Physics, University College London, London, WC1E 7JE, UK
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, WC1E 7HB, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, London, WC1E 7HB, UK
| | - Susie M D Henley
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
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16
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Street RE, Lu K, Huckvale M, Brotherhood EV, Pavisic IM, James S, Keuss SE, Buchanan SM, Parker TD, Lane CA, Keshavan A, Murray‐Smith H, Cash DM, Coath W, Wong A, Fox NC, Richards M, Schott JM, Crutch SJ. Performance on the graded naming test in a population‐based sample of 72‐year‐olds: Associations with life‐course predictors and β‐amyloid pathology. Alzheimers Dement 2020. [DOI: 10.1002/alz.040897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Rebecca E. Street
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Mark Huckvale
- Department of Speech Hearing & Phonetic Sciences UCL London United Kingdom
| | - Emilie V. Brotherhood
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ivanna M. Pavisic
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Thomas D. Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Christopher A. Lane
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - David M. Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Nick C. Fox
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sebastian J. Crutch
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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17
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Lu K, Nicholas JM, Pertzov Y, Grogan J, Husain M, Pavisic IM, James S, Parker TD, Lane CA, Keshavan A, Keuss SE, Buchanan SM, Murray‐Smith H, Cash DM, Malone IB, Coath W, Wong A, Henley SM, Crutch SJ, Fox NC, Richards M, Schott JM. APOE‐ε4 carriers have superior recall on the ‘What was where?’ visual short‐term memory binding test at age 70, despite a detrimental effect of β‐amyloid. Alzheimers Dement 2020. [DOI: 10.1002/alz.041090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Jennifer M. Nicholas
- Department of Medical Statistics London School of Hygiene and Tropical Medicine London United Kingdom
| | - Yoni Pertzov
- The Hebrew University of Jerusalem Jerusalem Israel
| | - John Grogan
- Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom
| | - Masud Husain
- Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom
| | - Ivanna M. Pavisic
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Sarah E. Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - David M. Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B. Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Susie M.D. Henley
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sebastian J. Crutch
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Nick C. Fox
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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18
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Storey M, James S, Lane CA, Barnes J, Sudre CH, Parker TD, Lu K, Keshavan A, Buchanan SM, Keuss SE, Wagen A, Cash DM, Malone IB, Coath W, Prosser L, Nicholas JM, Murray‐Smith H, Wong A, Hughes A, Chaturvedi N, Fox NC, Richards M, Schott JM. Mid‐life blood pressure and microstructural white matter: Findings from the 1946 British birth cohort. Alzheimers Dement 2020. [DOI: 10.1002/alz.045707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Mathew Storey
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | - Jo Barnes
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D Parker
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Aaron Wagen
- UCL Dementia Research Centre London United Kingdom
| | - David M Cash
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Jennifer M Nicholas
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | | | - Nick C Fox
- UK Dementia Research Institute London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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19
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Wagen A, Coath W, Keuss SE, Buchanan SM, Storey M, Lu K, Pavisic IM, James S, Street RE, Parker TD, Lane CA, Keshavan A, Murray‐Smith H, Cash DM, Malone IB, Wong A, Henley S, Crutch SJ, Wellington H, Heslegrave AJ, Zetterberg H, Fox NC, Richards M, Cole J, Schott JM. Serum neurofilament light and whole brain volume associate with machine‐learning derived brain‐predicted age in the British 1946 birth cohort. Alzheimers Dement 2020. [DOI: 10.1002/alz.045965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Aaron Wagen
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Mathew Storey
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ivanna M Pavisic
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Rebecca E Street
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D Parker
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | | | - David M Cash
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Susie Henley
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sebastian J Crutch
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology Department of Psychiatry and Neurochemistry The Sahlgrenska Academy at University of Gothenburg Mölndal Sweden
| | - Nick C Fox
- UK Dementia Research Institute London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - James Cole
- South London and Maudsley NHS Foundation Trust London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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20
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Keuss SE, Poole T, Cash DM, Lane CA, Parker TD, Buchanan SM, Keshavan A, Coath W, Malone IB, Thomas DL, Sudre CH, Barnes J, Lu K, James S, Wagen A, Storey M, Murray‐Smith H, Wong A, Richards M, Fox NC, Schott JM. Cerebral amyloid and white matter hyperintensity volume are independently associated with rates of cerebral atrophy in Insight 46, a sub‐study of the 1946 British birth cohort. Alzheimers Dement 2020. [DOI: 10.1002/alz.044924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Teresa Poole
- UCL Queen Square Institute of Neurology London United Kingdom
- London School of Hygiene and Tropical Medicine London United Kingdom
| | - David M Cash
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Thomas D Parker
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - David L Thomas
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- UCL Queen Square Institute of Neurology London United Kingdom
- School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom
| | - Jo Barnes
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Aaron Wagen
- UCL Dementia Research Centre London United Kingdom
| | - Mathew Storey
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Nick C Fox
- UCL Queen Square Institute of Neurology London United Kingdom
- UK Dementia Research Institute London United Kingdom
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21
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Schott JM, Lane CA, Barnes J, Keuss SE, James S, Lu K, Sudre CH, Cash DM, Parker TD, Malone IB, Keshavan A, Murray‐Smith H, Wong A, Buchanan SM, Gordon E, Coath W, Barnes A, Dickson J, Modat M, Thomas DL, Chaturvedi N, Hughes A, Crutch SJ, Richards M, Fox NC. Vascular risk factors and amyloid pathology: Additive or interactive associations? Alzheimers Dement 2020. [DOI: 10.1002/alz.037922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Jonathan M Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Jo Barnes
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- UCL Queen Square Institute of Neurology London United Kingdom
| | - David M Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | - Elizabeth Gordon
- Institute of Neurology University College London London United Kingdom
| | - William Coath
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Anna Barnes
- UCL Institute of Nuclear Medicine London United Kingdom
| | - John Dickson
- Institute of Nuclear Medicine, UCL London United Kingdom
| | - Marc Modat
- Translational Imaging Group Centre for Medical Image Computing, UCL, London United Kingdom
| | - David L Thomas
- Brain Repair and Rehabilitation UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Sebastian J Crutch
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Nick C Fox
- UCL Queen Square Institute of Neurology London United Kingdom
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22
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James S, Lane CA, Parker TD, Keshavan A, Buchanan SM, Keuss SE, Cash DM, Malone IB, Barnes J, Sudre CH, Coath W, Prosser L, Nicholas JM, Murray‐Smith H, Wong A, Hughes A, Chaturvedi N, Fox NC, Richards M, Schott JM. Lifetime cigarette smoking and later‐life brain health: The population‐based 1946 British Birth Cohort. Alzheimers Dement 2020. [DOI: 10.1002/alz.041111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | - Thomas D Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | - David M Cash
- Centre for Medical Image Computing UCL London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Jo Barnes
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Jennifer M Nicholas
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | | | - Nick C Fox
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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23
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Cash DM, Markiewicz PJ, Jiao J, Coath W, Modat M, Lane CA, Parker TD, Keuss SE, Buchanan SM, Burgos N, Dickson J, Barnes A, Cardoso J, Alves IL, Barkhof F, Thomas DL, Beasley D, Wong A, Schöll M, Richards M, Ourselin S, Fox NC, Schott JM. Comparison of static and dynamic analysis techniques for longitudinal analysis of amyloid PET. Alzheimers Dement 2020. [DOI: 10.1002/alz.045991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- David M Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Jieqing Jiao
- UCL Centre for Medical Image Computing London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Marc Modat
- KCL School of Biomedical Engineering and Imaging Sciences London United Kingdom
| | - Christopher A Lane
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah E Keuss
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah M Buchanan
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | - John Dickson
- UCL Institute of Nuclear Medicine London United Kingdom
| | - Anna Barnes
- UCL Institute of Nuclear Medicine London United Kingdom
| | - Jorge Cardoso
- KCL School of Biomedical Engineering and Imaging Sciences London United Kingdom
| | | | - Frederik Barkhof
- Amsterdam UMC VU University Medical Center Amsterdam Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing University College London United Kingdom
| | - David L Thomas
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Daniel Beasley
- KCL School of Biomedical Engineering and Imaging Sciences London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Sebastien Ourselin
- KCL School of Biomedical Engineering and Imaging Sciences London United Kingdom
| | - Nick C Fox
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
- UK Dementia Research Institute London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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24
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Lu K, Pavisic IM, James S, Street RE, Keuss SE, Buchanan SM, Wagen A, Storey M, Parker TD, Lane CA, Keshavan A, Murray‐Smith H, Cash DM, Malone IB, Coath W, Wong A, Henley SM, Crutch SJ, Fox NC, Richards M, Schott JM. Accelerated forgetting is sensitive to β‐amyloid pathology and cerebral atrophy in cognitively normal 72‐year‐olds. Alzheimers Dement 2020. [DOI: 10.1002/alz.040987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Kirsty Lu
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ivanna M. Pavisic
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Rebecca E. Street
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sarah E. Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Aaron Wagen
- UCL Dementia Research Centre London United Kingdom
| | - Mathew Storey
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Christopher A. Lane
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | | | | | - David M. Cash
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B. Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - William Coath
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Susie M.D. Henley
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Sebastian J. Crutch
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
| | - Nick C. Fox
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre UCL Queen Square Institute of Neurology London United Kingdom
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25
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Keshavan A, Karikari TK, Lane CA, Parker TD, Lu K, Cash DM, Sudre CH, Nicholas JM, Heslegrave AJ, Wellington H, James S, Murray‐Smith H, Buchanan SM, Keuss SE, Thomas DL, Malone IB, Richards M, Zetterberg H, Blennow K, Fox NC, Schott JM. Plasma phospho‐tau181 in over 400 cognitively healthy 69‐ to 71‐year‐olds: Associations with cerebral amyloid, structural imaging and cognition in the Insight 46 study. Alzheimers Dement 2020. [DOI: 10.1002/alz.037848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | | | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Thomas D Parker
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | - Carole H Sudre
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- Department of Medical Physics University College London London United Kingdom
- School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
- Department of Medical Statistics London School of Hygiene and Tropical Medicine London United Kingdom
| | | | | | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | | | | | - Sarah E Keuss
- UCL Queen Square Institute of Neurology London United Kingdom
| | - David L Thomas
- Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology London United Kingdom
| | - Ian B Malone
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL London United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL London United Kingdom
- Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
- Department of Neurodegenerative Disease UCL London United Kingdom
- Institute of Neuroscience and Physiology University of Gothenburg Mölndal Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology University of Gothenburg Mölndal Sweden
- University of Gothenburg Gothenburg Sweden
| | - Nick C Fox
- UCL Queen Square Institute of Neurology London United Kingdom
- UK Dementia Research Institute London United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
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26
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Lane CA, Barnes J, Nicholas JM, Sudre CH, Cash DM, Malone IB, Parker TD, Keshavan A, Buchanan SM, Keuss SE, James SN, Lu K, Murray-Smith H, Wong A, Gordon E, Coath W, Modat M, Thomas D, Richards M, Fox NC, Schott JM. Associations Between Vascular Risk Across Adulthood and Brain Pathology in Late Life: Evidence From a British Birth Cohort. JAMA Neurol 2020; 77:175-183. [PMID: 31682678 PMCID: PMC6830432 DOI: 10.1001/jamaneurol.2019.3774] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Question When is vascular risk during adulthood (early adulthood, midlife, or late life) most strongly associated with late-life brain structure and pathology? Findings In a propective cohort of 463 participants free of dementia from the population-based Insight 46 study, higher vascular risk in early adulthood was most strongly associated with smaller whole-brain volumes and greater white matter–hyperintensity volumes at age 69 to 71 years. There were no associations at any age with amyloid status. Meaning These findings are consistent with vascular risk influencing late-life brain health via cerebral small-vessel disease and lower brain volumes but not amyloidosis; vascular risk screening and modification may need to be considered from early adulthood. Importance Midlife vascular risk burden is associated with late-life dementia. Less is known about if and how risk exposure in early adulthood influences late-life brain health. Objective To determine the associations between vascular risk in early adulthood, midlife, and late life with late-life brain structure and pathology using measures of white matter–hyperintensity volume, β-amyloid load, and whole-brain and hippocampal volumes. Design, Setting, and Participants This prospective longitudinal cohort study, Insight 46, is part of the Medical Research Council National Survey of Health and Development, which commenced in 1946. Participants had vascular risk factors evaluated at ages 36 years (early adulthood), 53 years (midlife), and 69 years (early late life). Participants were assessed with multimodal magnetic resonance imaging and florbetapir-amyloid positron emission tomography scans between May 2015 and January 2018 at University College London. Participants with at least 1 available imaging measure, vascular risk measurements at 1 or more points, and no dementia were included in analyses. Exposures Office-based Framingham Heart study–cardiovascular risk scores (FHS-CVS) were derived at ages 36, 53, and 69 years using systolic blood pressure, antihypertensive medication usage, smoking, diabetic status, and body mass index. Analysis models adjusted for age at imaging, sex, APOE genotype, socioeconomic position, and, where appropriate, total intracranial volume. Main Outcomes and Measures White matter–hyperintensity volume was generated from T1/fluid-attenuated inversion recovery scans using an automated technique and whole-brain volume and hippocampal volume were generated from automated in-house pipelines; β-amyloid status was determined using a gray matter/eroded subcortical white matter standardized uptake value ratio threshold of 0.61. Results A total of 502 participants were assessed as part of Insight 46, and 463 participants (236 male [51.0%]) with at least 1 available imaging measure (mean [SD] age at imaging, 70.7 [0.7] years; 83 β-amyloid positive [18.2%]) who fulfilled eligibility criteria were included. Among them, FHS-CVS increased with age (36 years: median [interquartile range], 2.7% [1.5%-3.6%]; 53 years: 10.9% [6.7%-15.6%]; 69 years: 24.3% [14.9%-34.9%]). At all points, these scores were associated with smaller whole-brain volumes (36 years: β coefficient per 1% increase, −3.6 [95% CI, −7.0 to −0.3]; 53 years: −0.8 [95% CI, −1.5 to −0.08]; 69 years: −0.6 [95% CI, −1.1 to −0.2]) and higher white matter–hyperintensity volume (exponentiated coefficient: 36 years, 1.09 [95% CI, 1.01-1.18]; 53 years, 1.02 [95% CI, 1.00-1.04]; 69 years, 1.01 [95% CI, 1.00-1.02]), with largest effect sizes at age 36 years. At no point were FHS-CVS results associated with β-amyloid status. Conclusions and Relevance Higher vascular risk is associated with smaller whole-brain volume and greater white matter–hyperintensity volume at age 69 to 71 years, with the strongest association seen with early adulthood vascular risk. There was no evidence that higher vascular risk influences amyloid deposition, at least up to age 71 years. Reducing vascular risk with appropriate interventions should be considered from early adulthood to maximize late-life brain health.
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Affiliation(s)
- Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,London School of Hygiene and Tropical Medicine, Department of Medical Statistics, University of London, London, United Kingdom
| | - Carole H Sudre
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom
| | - Elizabeth Gordon
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Marc Modat
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - David Thomas
- Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,UK Dementia Research Institute at UCL, University College London, London, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,UK Dementia Research Institute at UCL, University College London, London, United Kingdom
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27
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Keshavan A, Wellington H, Chen Z, Khatun A, Chapman M, Hart M, Cash DM, Coath W, Parker TD, Buchanan SM, Keuss SE, Harris MJ, Murray‐Smith H, Heslegrave A, Fox NC, Zetterberg H, Schott JM. Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays. Alzheimers Dement (Amst) 2020; 12:e12097. [PMID: 32999915 PMCID: PMC7503103 DOI: 10.1002/dad2.12097] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/27/2020] [Accepted: 07/30/2020] [Indexed: 12/23/2022]
Abstract
INTRODUCTION We assessed the concordance of cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau measured on the fully automated Lumipulse platform with pre-symptomatic Alzheimer's disease (AD) pathology on amyloid positron emission tomography (PET). METHODS In 72 individuals from the Insight 46 study, CSF Aβ40, Aβ42, total tau (t-tau), and phosphorylated tau at site 181 (p-tau181) were measured using Lumipulse, INNOTEST, and Meso Scale Discovery (MSD) assays, and inter-platform Pearson correlations were derived. Logistic regressions and receiver-operating characteristic analysis generated CSF cut-points optimizing concordance with 18F-florbetapir amyloid PET status (n = 63). RESULTS Measurements of CSF Aβ, p-tau181, and their ratios correlated well across platforms (r 0.84-.94, P < .0001); those of t-tau and t-tau/Aβ42 correlated moderately (r 0.57-0.79, P < .0001). The best concordance with amyloid PET (100% sensitivity and 94% specificity) was afforded by cut-points of 0.110 for Lumipulse Aβ42/Aβ40, 0.087 for MSD Aβ42/Aβ40, and 25.3 for Lumipulse Aβ42/p-tau181. DISCUSSION The Lumipulse platform provides comparable sensitivity and specificity to established CSF immunoassays in identifying pre-symptomatic AD pathology.
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Affiliation(s)
- Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Henrietta Wellington
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Zhongbo Chen
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Ayesha Khatun
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Miles Chapman
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
| | - Melanie Hart
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
- Department of NeuroinflammationUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - David M. Cash
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - William Coath
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Thomas D. Parker
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Sarah M. Buchanan
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Sarah E. Keuss
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Matthew J. Harris
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Heidi Murray‐Smith
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Amanda Heslegrave
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Nick C. Fox
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Henrik Zetterberg
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
- Clinical Neurochemistry LaboratoryDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at University of GothenburgSahlgrenska University HospitalMölndalSweden
| | - Jonathan M. Schott
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
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Lu K, Nicholas JM, James S, Lane CA, Parker TD, Keshavan A, Keuss SE, Buchanan SM, Murray‐Smith H, Cash DM, Sudre CH, Malone IB, Coath W, Wong A, Henley SM, Fox NC, Richards M, Schott JM, Crutch SJ. Increased variability in reaction time is associated with amyloid beta pathology at age 70. Alzheimers Dement (Amst) 2020; 12:e12076. [PMID: 32789161 PMCID: PMC7416668 DOI: 10.1002/dad2.12076] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/07/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION We investigated whether life-course factors and neuroimaging biomarkers of Alzheimer's disease pathology predict reaction time (RT) performance in older adults. METHODS Insight 46 study participants, all born in the same week in 1946 (n = 501; ages at assessment = 69 to 71 years), completed a 2-choice RT task and amyloid beta (Aβ) positron emission tomography and MR imaging. We tested for associations between task outcomes (RT; error rate; intra-individual variability in RT) and life-course predictors including childhood cognitive ability and education. In a subsample of 406 cognitively normal participants, we investigated associations between task outcomes and biomarkers including Aβ-positivity. RESULTS Cognitively normal Aβ-positive participants had 10% more variable RTs than Aβ-negative participants, despite having similar mean RTs. Childhood cognitive ability and education independently predicted task performance. DISCUSSION This study provides novel evidence that Aβ pathology is associated with poorer consistency of RT in cognitively normal older adults, at an age when dementia prevalence is still very low.
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Affiliation(s)
- Kirsty Lu
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Jennifer M. Nicholas
- Department of Medical StatisticsLondon School of Hygiene and Tropical MedicineLondonUK
| | - Sarah‐Naomi James
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - Christopher A. Lane
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Thomas D. Parker
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah E. Keuss
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah M. Buchanan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Heidi Murray‐Smith
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - David M. Cash
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Carole H. Sudre
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Department of Medical PhysicsUniversity College LondonLondonUK
| | - Ian B. Malone
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - William Coath
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - Susie M.D. Henley
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Nick C. Fox
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
- UK Dementia Research Institute at University College LondonLondonUK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - Jonathan M. Schott
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sebastian J. Crutch
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
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29
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Parker TD, Cash DM, Lane CA, Lu K, Malone IB, Nicholas JM, James S, Keshavan A, Murray‐Smith H, Wong A, Buchanan SM, Keuss SE, Sudre CH, Thomas DL, Crutch SJ, Fox NC, Richards M, Schott JM. Amyloid β influences the relationship between cortical thickness and vascular load. Alzheimers Dement (Amst) 2020; 12:e12022. [PMID: 32313829 PMCID: PMC7163924 DOI: 10.1002/dad2.12022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 11/30/2019] [Accepted: 01/02/2020] [Indexed: 11/18/2022]
Abstract
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.
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Affiliation(s)
- Thomas D. Parker
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - David M. Cash
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Christopher A. Lane
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Kirsty Lu
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Ian B. Malone
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Jennifer M. Nicholas
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
- Department of Medical StatisticsLondon School of Hygiene and Tropical MedicineLondonUK
| | | | - Ashvini Keshavan
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Heidi Murray‐Smith
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCLLondonUK
| | - Sarah M. Buchanan
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Sarah E. Keuss
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Carole H. Sudre
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
- School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Department of Medical Physics and Biomedical EngineeringUCLLondonUK
| | - David L. Thomas
- Leonard Wolfson Experimental Neurology Centre, Queen Square Institute of NeurologyUCLLondonUK
- Neuroradiological Academic Unit, Department of Brain Repair and RehabilitationUCL Queen Square Institute of NeurologyLondonUK
| | - Sebastian J. Crutch
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | - Nick C. Fox
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
| | | | - Jonathan M. Schott
- Department of Neurodegenerative DiseaseThe Dementia Research Centre, UCL Queen Square Institute of NeurologyLondonUK
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30
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Lu K, Nicholas JM, Collins JD, James SN, Parker TD, Lane CA, Keshavan A, Keuss SE, Buchanan SM, Murray-Smith H, Cash DM, Sudre CH, Malone IB, Coath W, Wong A, Henley SMD, Crutch SJ, Fox NC, Richards M, Schott JM. Cognition at age 70: Life course predictors and associations with brain pathologies. Neurology 2019; 93:e2144-e2156. [PMID: 31666352 PMCID: PMC6937487 DOI: 10.1212/wnl.0000000000008534] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 06/12/2019] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To investigate predictors of performance on a range of cognitive measures including the Preclinical Alzheimer Cognitive Composite (PACC) and test for associations between cognition and dementia biomarkers in Insight 46, a substudy of the Medical Research Council National Survey of Health and Development. METHODS A total of 502 individuals born in the same week in 1946 underwent cognitive assessment at age 69-71 years, including an adapted version of the PACC and a test of nonverbal reasoning. Performance was characterized with respect to sex, childhood cognitive ability, education, and socioeconomic position (SEP). In a subsample of 406 cognitively normal participants, associations were investigated between cognition and β-amyloid (Aβ) positivity (determined from Aβ-PET imaging), whole brain volumes, white matter hyperintensity volumes (WMHV), and APOE ε4. RESULTS Childhood cognitive ability was strongly associated with cognitive scores including the PACC more than 60 years later, and there were independent effects of education and SEP. Sex differences were observed on every PACC subtest. In cognitively normal participants, Aβ positivity and WMHV were independently associated with lower PACC scores, and Aβ positivity was associated with poorer nonverbal reasoning. Aβ positivity and WMHV were not associated with sex, childhood cognitive ability, education, or SEP. Normative data for 339 cognitively normal Aβ-negative participants are provided. CONCLUSIONS This study adds to emerging evidence that subtle cognitive differences associated with Aβ deposition are detectable in older adults, at an age when dementia prevalence is very low. The independent associations of childhood cognitive ability, education, and SEP with cognitive performance at age 70 have implications for interpretation of cognitive data in later life.
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Affiliation(s)
- Kirsty Lu
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK.
| | - Jennifer M Nicholas
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Jessica D Collins
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Sarah-Naomi James
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Thomas D Parker
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Christopher A Lane
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Ashvini Keshavan
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Sarah E Keuss
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Sarah M Buchanan
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Heidi Murray-Smith
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - David M Cash
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Carole H Sudre
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Ian B Malone
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - William Coath
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Andrew Wong
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Susie M D Henley
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Sebastian J Crutch
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Nick C Fox
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Marcus Richards
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK
| | - Jonathan M Schott
- From the Dementia Research Centre (K.L., J.D.C., T.D.P., C.A.L., A.K., S.E.K., S.M.B., H.M.-S., D.M.C., C.H.S., I.B.M., W.C., S.M.D.H., S.J.C., N.C.F., J.M.S.), UCL Queen Square Institute of Neurology, University College London; Department of Medical Statistics (J.M.N.), London School of Hygiene and Tropical Medicine; MRC Unit for Lifelong Health and Ageing at UCL (S.-N.J., A.W., M.R.); and School of Biomedical Engineering and Imaging Sciences (D.M.C., C.H.S.), King's College London, UK.
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31
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Parker TD, Cash DM, Lane CAS, Lu K, Malone IB, Nicholas JM, James SN, Keshavan A, Murray-Smith H, Wong A, Buchanan SM, Keuss SE, Sudre CH, Modat M, Thomas DL, Crutch SJ, Richards M, Fox NC, Schott JM. Hippocampal subfield volumes and pre-clinical Alzheimer's disease in 408 cognitively normal adults born in 1946. PLoS One 2019; 14:e0224030. [PMID: 31622410 PMCID: PMC6797197 DOI: 10.1371/journal.pone.0224030] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/03/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The human hippocampus comprises a number of interconnected histologically and functionally distinct subfields, which may be differentially influenced by cerebral pathology. Automated techniques are now available that estimate hippocampal subfield volumes using in vivo structural MRI data. To date, research investigating the influence of cerebral β-amyloid deposition-one of the earliest hypothesised changes in the pathophysiological continuum of Alzheimer's disease-on hippocampal subfield volumes in cognitively normal older individuals, has been limited. METHODS Using cross-sectional data from 408 cognitively normal individuals born in mainland Britain (age range at time of assessment = 69.2-71.9 years) who underwent cognitive assessment, 18F-Florbetapir PET and structural MRI on the same 3 Tesla PET/MR unit (spatial resolution 1.1 x 1.1 x 1.1. mm), we investigated the influences of β-amyloid status, age at scan, and global white matter hyperintensity volume on: CA1, CA2/3, CA4, dentate gyrus, presubiculum and subiculum volumes, adjusting for sex and total intracranial volume. RESULTS Compared to β-amyloid negative participants (n = 334), β-amyloid positive participants (n = 74) had lower volume of the presubiculum (3.4% smaller, p = 0.012). Despite an age range at scanning of just 2.7 years, older age at time of scanning was associated with lower CA1 (p = 0.007), CA4 (p = 0.004), dentate gyrus (p = 0.002), and subiculum (p = 0.035) volumes. There was no evidence that white matter hyperintensity volume was associated with any subfield volumes. CONCLUSION These data provide evidence of differential associations in cognitively normal older adults between hippocampal subfield volumes and β-amyloid deposition and, increasing age at time of scan. The relatively selective effect of lower presubiculum volume in the β-amyloid positive group potentially suggest that the presubiculum may be an area of early and relatively specific volume loss in the pathophysiological continuum of Alzheimer's disease. Future work using higher resolution imaging will be key to exploring these findings further.
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Affiliation(s)
- Thomas D. Parker
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - David M. Cash
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Christopher A. S. Lane
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Kirsty Lu
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Ian B. Malone
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jennifer M. Nicholas
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom
| | - Ashvini Keshavan
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Heidi Murray-Smith
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom
| | - Sarah M. Buchanan
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah E. Keuss
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Carole H. Sudre
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Marc Modat
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - David L. Thomas
- Leonard Wolfson Experimental Neurology Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sebastian J. Crutch
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom
| | - Nick C. Fox
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jonathan M. Schott
- The Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom
- * E-mail:
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Lane CA, Barnes J, Nicholas JM, Sudre CH, Cash DM, Parker TD, Malone IB, Lu K, James SN, Keshavan A, Murray-Smith H, Wong A, Buchanan SM, Keuss SE, Gordon E, Coath W, Barnes A, Dickson J, Modat M, Thomas D, Crutch SJ, Hardy R, Richards M, Fox NC, Schott JM. Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study. Lancet Neurol 2019; 18:942-952. [PMID: 31444142 PMCID: PMC6744368 DOI: 10.1016/s1474-4422(19)30228-5] [Citation(s) in RCA: 153] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/08/2019] [Accepted: 05/09/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND Midlife hypertension confers increased risk for cognitive impairment in late life. The sensitive period for risk exposure and extent that risk is mediated through amyloid or vascular-related mechanisms are poorly understood. We aimed to identify if, and when, blood pressure or change in blood pressure during adulthood were associated with late-life brain structure, pathology, and cognition. METHODS Participants were from Insight 46, a neuroscience substudy of the ongoing longitudinal Medical Research Council National Survey of Health and Development, a birth cohort that initially comprised 5362 individuals born throughout mainland Britain in one week in 1946. Participants aged 69-71 years received T1 and FLAIR volumetric MRI, florbetapir amyloid-PET imaging, and cognitive assessment at University College London (London, UK); all participants were dementia-free. Blood pressure measurements had been collected at ages 36, 43, 53, 60-64, and 69 years. We also calculated blood pressure change variables between ages. Primary outcome measures were white matter hyperintensity volume (WMHV) quantified from multimodal MRI using an automated method, amyloid-β positivity or negativity using a standardised uptake value ratio approach, whole-brain and hippocampal volumes quantified from 3D-T1 MRI, and a composite cognitive score-the Preclinical Alzheimer Cognitive Composite (PACC). We investigated associations between blood pressure and blood pressure changes at and between 36, 43, 53, 60-64, and 69 years of age with WMHV using generalised linear models with a gamma distribution and log link function, amyloid-β status using logistic regression, whole-brain volume and hippocampal volumes using linear regression, and PACC score using linear regression, with adjustment for potential confounders. FINDINGS Between May 28, 2015, and Jan 10, 2018, 502 individuals were assessed as part of Insight 46. 465 participants (238 [51%] men; mean age 70·7 years [SD 0·7]; 83 [18%] amyloid-β-positive) were included in imaging analyses. Higher systolic blood pressure (SBP) and diastolic blood pressure (DBP) at age 53 years and greater increases in SBP and DBP between 43 and 53 years were positively associated with WMHV at 69-71 years of age (increase in mean WMHV per 10 mm Hg greater SBP 7%, 95% CI 1-14, p=0·024; increase in mean WMHV per 10 mm Hg greater DBP 15%, 4-27, p=0·0057; increase in mean WMHV per one SD change in SBP 15%, 3-29, p=0·012; increase in mean WMHV per 1 SD change in DBP 15%, 3-30, p=0·017). Higher DBP at 43 years of age was associated with smaller whole-brain volume at 69-71 years of age (-6·9 mL per 10 mm Hg greater DBP, -11·9 to -1·9, p=0·0068), as were greater increases in DBP between 36 and 43 years of age (-6·5 mL per 1 SD change, -11·1 to -1·9, p=0·0054). Greater increases in SBP between 36 and 43 years of age were associated with smaller hippocampal volumes at 69-71 years of age (-0·03 mL per 1 SD change, -0·06 to -0·001, p=0·043). Neither absolute blood pressure nor change in blood pressure predicted amyloid-β status or PACC score at 69-71 years of age. INTERPRETATION High and increasing blood pressure from early adulthood into midlife seems to be associated with increased WMHV and smaller brain volumes at 69-71 years of age. We found no evidence that blood pressure affected cognition or cerebral amyloid-β load at this age. Blood pressure monitoring and interventions might need to start around 40 years of age to maximise late-life brain health. FUNDING Alzheimer's Research UK, Medical Research Council, Dementias Platform UK, Wellcome Trust, Brain Research UK, Wolfson Foundation, Weston Brain Institute, Avid Radiopharmaceuticals.
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Affiliation(s)
- Christopher A Lane
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK,Department of Medical Statistics, London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - Carole H Sudre
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - David M Cash
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas D Parker
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Ian B Malone
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah-Naomi James
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Elizabeth Gordon
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - William Coath
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Marc Modat
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - David Thomas
- Leonard Wolfson Experimental Neurology Centre and Academic Neuroradiological Unit, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Rebecca Hardy
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, London, UK
| | - Nick C Fox
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK,UK Dementia Research Institute at University College London, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London, UK,UK Dementia Research Institute at University College London, University College London, London, UK,Correspondence to: Prof Jonathan M Schott, Dementia Research Centre, University College London Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
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Keuss SE, Parker TD, Lane CA, Hoskote C, Shah S, Cash DM, Keshavan A, Buchanan SM, Murray-Smith H, Wong A, James SN, Lu K, Collins J, Beasley DG, Malone IB, Thomas DL, Barnes A, Richards M, Fox N, Schott JM. Incidental findings on brain imaging and blood tests: results from the first phase of Insight 46, a prospective observational substudy of the 1946 British birth cohort. BMJ Open 2019; 9:e029502. [PMID: 31371298 PMCID: PMC6678011 DOI: 10.1136/bmjopen-2019-029502] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVE To summarise the incidental findings detected on brain imaging and blood tests during the first wave of data collection for the Insight 46 study. DESIGN Prospective observational sub-study of a birth cohort. SETTING Single-day assessment at a research centre in London, UK. PARTICIPANTS 502 individuals were recruited from the MRC National Survey of Health and Development (NSHD), the 1946 British birth cohort, based on pre-specified eligibility criteria; mean age was 70.7 (SD: 0.7) and 49% were female. OUTCOME MEASURES Data regarding the number and types of incidental findings were summarised as counts and percentages, and 95% confidence intervals were calculated. RESULTS 93.8% of participants completed a brain scan (n=471); 4.5% of scanned participants had a pre-defined reportable abnormality on brain MRI (n=21); suspected vascular malformations and suspected intracranial mass lesions were present in 1.9% (n=9) and 1.5% (n=7) respectively; suspected cerebral aneurysms were the single most common vascular abnormality, affecting 1.1% of participants (n=5), and suspected meningiomas were the most common intracranial lesion, affecting 0.6% of participants (n=3); 34.6% of participants had at least one abnormality on clinical blood tests (n=169), but few reached the prespecified threshold for urgent action (n=11). CONCLUSIONS In older adults, aged 69-71 years, potentially serious brain MRI findings were detected in around 5% of participants, and clinical blood test abnormalities were present in around one third of participants. Knowledge of the expected prevalence of incidental findings in the general population at this age is useful in both research and clinical settings.
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Affiliation(s)
- Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Chandrashekar Hoskote
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Sachit Shah
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Jessica Collins
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Daniel G Beasley
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David L Thomas
- Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, London, UK
- Department of Brain Repair and Neurorehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nick Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
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Cash DM, Modat M, Coath W, Cardoso J, Markiewicz PJ, Lane CA, Parker TD, Keuss SE, Buchanan SM, Burgos N, Dickson J, Barnes A, Thomas DL, Beasley D, Malone IB, Erlandsson K, Thomas BA, Ourselin S, Fox NC, Richards M, Schott JM. P3-412: LONGITUDINAL RATES OF AMYLOID ACCUMULATION IN A 70-YEAR-OLD BRITISH BIRTH COHORT. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.3446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- David M. Cash
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marc Modat
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - William Coath
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Jorge Cardoso
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | | | - Christopher A. Lane
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah M. Buchanan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | | | - John Dickson
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Anna Barnes
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - David L. Thomas
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Daniel Beasley
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Ian B. Malone
- UCL Queen Square Institute of Neurology; London United Kingdom
| | | | - Ben A. Thomas
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Sebastien Ourselin
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Nick C. Fox
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
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Keshavan A, Lane CA, Parker TD, Lu K, Cash DM, Sudre CH, Nicholas JM, Heslegrave AJ, James SN, Murray-Smith H, Buchanan SM, Keuss SE, Thomas DL, Malone IB, Wong A, Richards M, Zetterberg H, Fox NC, Schott JM. P3-234: PLASMA AMYLOID, TAU AND SERUM NEUROFILAMENT LIGHT CHAIN IN INSIGHT 46: ASSOCIATIONS WITH COGNITION AND BRAIN IMAGING. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.3264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Ashvini Keshavan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Christopher A. Lane
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - David M. Cash
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Carole H. Sudre
- Department of Medical Physics and Biomedical Engineering; UCL; London United Kingdom
- School of Biomedical Engineering and Imaging Sciences; King's College London; London United Kingdom
| | - Jennifer M. Nicholas
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
- Department of Medical Statistics; London School of Hygiene and Tropical Medicine; London United Kingdom
| | | | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Heidi Murray-Smith
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah M. Buchanan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - David L. Thomas
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Ian B. Malone
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Henrik Zetterberg
- U.K. Dementia Research Institute at UCL; London United Kingdom
- Clinical Neurochemistry Laboratory; Sahlgrenska University Hospital; Mölndal Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry; The Sahlgrenska Academy at University of Gothenburg; Mölndal Sweden
| | - Nick C. Fox
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
- U.K. Dementia Research Institute at UCL; London United Kingdom
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Coath W, Modat M, Cardoso J, Markiewicz PJ, Lane CA, Parker TD, Keuss SE, Buchanan SM, Burgos N, Dickson J, Barnes A, Thomas DL, Beasley D, Malone IB, Wong A, Thomas BA, Ourselin S, Richards M, Fox NC, Schott JM, Cash DM. IC-P-007: CENTILOID SCALE TRANSFORMATION OF FLORBETAPIR DATA ACQUIRED ON A PET/MR SCANNER. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- William Coath
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marc Modat
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Jorge Cardoso
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | | | | | | | - Sarah E. Keuss
- UCL Queen Square Institute of Neurology; London United Kingdom
| | | | | | - John Dickson
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Anna Barnes
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - David L. Thomas
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Daniel Beasley
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Ian B. Malone
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Ben A. Thomas
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Sebastien Ourselin
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Nick C. Fox
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | | | - David M. Cash
- UCL Queen Square Institute of Neurology; London United Kingdom
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James SN, Lane CA, Parker TD, Lu K, Keshavan A, Buchanan SM, Keuss SE, Cash DM, Malone IB, Nicholas JM, Murray-Smith H, Wong A, Fox NC, Schott JM, Richards M. O3-03-04: DIVERGENT ASSOCIATIONS BETWEEN LIFE COURSE COGNITIVE TRAJECTORIES AND BRAIN PATHOLOGIES: FINDINGS FROM THE 1946 BRITISH BIRTH COHORT. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Christopher A. Lane
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Kirsty Lu
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Ashvini Keshavan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah M. Buchanan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - David M. Cash
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
- UCL Centre for Medical Image Computing; London United Kingdom
- Dementia Research Centre; UCL Institute of Neurology; London United Kingdom
| | - Ian B. Malone
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Jennifer M. Nicholas
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
- Department of Medical Statistics; London School of Hygiene and Tropical Medicine; London United Kingdom
| | - Heidi Murray-Smith
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
| | - Nick C. Fox
- UK Dementia Research Institute at UCL; London United Kingdom
- Dementia Research Centre, Department of Neurodegenerative Disease; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Jonathan M. Schott
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
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Cash DM, Modat M, Coath W, Cardoso J, Markiewicz PJ, Lane CA, Parker TD, Keuss SE, Buchanan SM, Burgos N, Dickson J, Barnes A, Thomas DL, Beasley D, Malone IB, Erlandsson K, Thomas BA, Ourselin S, Fox NC, Richards M, Schott JM. IC-P-006: LONGITUDINAL RATES OF AMYLOID ACCUMULATION IN A 70-YEAR OLD BRITISH BIRTH COHORT. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- David M. Cash
- UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marc Modat
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - William Coath
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Jorge Cardoso
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | | | - Christopher A. Lane
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Thomas D. Parker
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah E. Keuss
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Sarah M. Buchanan
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | | | - John Dickson
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Anna Barnes
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - David L. Thomas
- Dementia Research Centre; UCL Institute of Neurology; London United Kingdom
| | | | - Ian B. Malone
- UCL Queen Square Institute of Neurology; London United Kingdom
| | | | - Ben A. Thomas
- UCL Institute of Nuclear Medicine; London United Kingdom
| | - Sebastien Ourselin
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | - Nick C. Fox
- Dementia Research Centre; UCL Queen Square Institute of Neurology; London United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL; London United Kingdom
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Buchanan SM, Schott JM. Aide-mémoires in semantic dementia. Pract Neurol 2018; 18:334-335. [PMID: 29875167 DOI: 10.1136/practneurol-2018-001973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2018] [Indexed: 11/03/2022]
Affiliation(s)
- Sarah M Buchanan
- Dementia Research Centre, UCL Institute of Neurology, London, UK
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