Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development
Abstract Background Increasing age is the biggest risk factor for dementia, of which Alzheimer’s disease is the commonest cause. The pathological changes underpinning Alzheimer’s disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography a...
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BMC
2017-04-01
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Series: | BMC Neurology |
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Online Access: | http://link.springer.com/article/10.1186/s12883-017-0846-x |
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author | Christopher A. Lane Thomas D. Parker Dave M. Cash Kirsty Macpherson Elizabeth Donnachie Heidi Murray-Smith Anna Barnes Suzie Barker Daniel G. Beasley Jose Bras David Brown Ninon Burgos Michelle Byford M. Jorge Cardoso Ana Carvalho Jessica Collins Enrico De Vita John C. Dickson Norah Epie Miklos Espak Susie M. D. Henley Chandrashekar Hoskote Michael Hutel Jana Klimova Ian B. Malone Pawel Markiewicz Andrew Melbourne Marc Modat Anette Schrag Sachit Shah Nikhil Sharma Carole H. Sudre David L. Thomas Andrew Wong Hui Zhang John Hardy Henrik Zetterberg Sebastien Ourselin Sebastian J. Crutch Diana Kuh Marcus Richards Nick C. Fox Jonathan M. Schott |
author_facet | Christopher A. Lane Thomas D. Parker Dave M. Cash Kirsty Macpherson Elizabeth Donnachie Heidi Murray-Smith Anna Barnes Suzie Barker Daniel G. Beasley Jose Bras David Brown Ninon Burgos Michelle Byford M. Jorge Cardoso Ana Carvalho Jessica Collins Enrico De Vita John C. Dickson Norah Epie Miklos Espak Susie M. D. Henley Chandrashekar Hoskote Michael Hutel Jana Klimova Ian B. Malone Pawel Markiewicz Andrew Melbourne Marc Modat Anette Schrag Sachit Shah Nikhil Sharma Carole H. Sudre David L. Thomas Andrew Wong Hui Zhang John Hardy Henrik Zetterberg Sebastien Ourselin Sebastian J. Crutch Diana Kuh Marcus Richards Nick C. Fox Jonathan M. Schott |
author_sort | Christopher A. Lane |
collection | DOAJ |
description | Abstract Background Increasing age is the biggest risk factor for dementia, of which Alzheimer’s disease is the commonest cause. The pathological changes underpinning Alzheimer’s disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography and multi-modal magnetic resonance imaging allow key pathological processes underpinning cognitive impairment – including β-amyloid depostion, vascular disease, network breakdown and atrophy – to be assessed repeatedly and non-invasively. This enables potential determinants of dementia to be delineated earlier, and therefore opens a pre-symptomatic window where intervention may prevent the onset of cognitive symptoms. Methods/design This paper outlines the clinical, cognitive and imaging protocol of “Insight 46”, a neuroscience sub-study of the MRC National Survey of Health and Development. This is one of the oldest British birth cohort studies and has followed 5362 individuals since their birth in England, Scotland and Wales during one week in March 1946. These individuals have been tracked in 24 waves of data collection incorporating a wide range of health and functional measures, including repeat measures of cognitive function. Now aged 71 years, a small fraction have overt dementia, but estimates suggest that ~1/3 of individuals in this age group may be in the preclinical stages of Alzheimer’s disease. Insight 46 is recruiting 500 study members selected at random from those who attended a clinical visit at 60–64 years and on whom relevant lifecourse data are available. We describe the sub-study design and protocol which involves a prospective two time-point (0, 24 month) data collection covering clinical, neuropsychological, β-amyloid positron emission tomography and magnetic resonance imaging, biomarker and genetic information. Data collection started in 2015 (age 69) and aims to be completed in 2019 (age 73). Discussion Through the integration of data on the socioeconomic environment and on physical, psychological and cognitive function from 0 to 69 years, coupled with genetics, structural and molecular imaging, and intensive cognitive and neurological phenotyping, Insight 46 aims to identify lifetime factors which influence brain health and cognitive ageing, with particular focus on Alzheimer’s disease and cerebrovascular disease. This will provide an evidence base for the rational design of disease-modifying trials. |
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spelling | doaj.art-62788c459e724890acc3ef320b7ca3762022-12-22T03:07:37ZengBMCBMC Neurology1471-23772017-04-0117112510.1186/s12883-017-0846-xStudy protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and DevelopmentChristopher A. Lane0Thomas D. Parker1Dave M. Cash2Kirsty Macpherson3Elizabeth Donnachie4Heidi Murray-Smith5Anna Barnes6Suzie Barker7Daniel G. Beasley8Jose Bras9David Brown10Ninon Burgos11Michelle Byford12M. Jorge Cardoso13Ana Carvalho14Jessica Collins15Enrico De Vita16John C. Dickson17Norah Epie18Miklos Espak19Susie M. D. Henley20Chandrashekar Hoskote21Michael Hutel22Jana Klimova23Ian B. Malone24Pawel Markiewicz25Andrew Melbourne26Marc Modat27Anette Schrag28Sachit Shah29Nikhil Sharma30Carole H. Sudre31David L. Thomas32Andrew Wong33Hui Zhang34John Hardy35Henrik Zetterberg36Sebastien Ourselin37Sebastian J. Crutch38Diana Kuh39Marcus Richards40Nick C. Fox41Jonathan M. Schott42Dementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonLeonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonInstitute of Nuclear Medicine, University College London HospitalsDementia Research Centre, Institute of Neurology, University College LondonTranslational Imaging Group, Centre for Medical Image Computing, University College LondonDepartment of Molecular Neuroscience, Institute of Neurology, University College LondonInstitute of Nuclear Medicine, University College London HospitalsTranslational Imaging Group, Centre for Medical Image Computing, University College LondonMRC Unit for Lifelong Health and Ageing at UCLTranslational Imaging Group, Centre for Medical Image Computing, University College LondonInstitute of Nuclear Medicine, University College London HospitalsDementia Research Centre, Institute of Neurology, University College LondonLysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen SquareInstitute of Nuclear Medicine, University College London HospitalsDementia Research Centre, Institute of Neurology, University College LondonTranslational Imaging Group, Centre for Medical Image Computing, University College LondonDementia Research Centre, Institute of Neurology, University College LondonLysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen SquareDementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonTranslational Imaging Group, Centre for Medical Image Computing, University College LondonTranslational Imaging Group, Centre for Medical Image Computing, University College LondonDementia Research Centre, Institute of Neurology, University College LondonDepartment of Clinical Neuroscience, Institute of Neurology, University College LondonLysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen SquareMRC Unit for Lifelong Health and Ageing at UCLDementia Research Centre, Institute of Neurology, University College LondonLeonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College LondonMRC Unit for Lifelong Health and Ageing at UCLDepartment of Computer Science and Centre for Medical Image Computing, University College LondonReta Lila Weston Research Laboratories, Department of Molecular Neuroscience, Institute of Neurology, University College LondonDepartment of Molecular Neuroscience, Institute of Neurology, University College LondonTranslational Imaging Group, Centre for Medical Image Computing, University College LondonDementia Research Centre, Institute of Neurology, University College LondonMRC Unit for Lifelong Health and Ageing at UCLMRC Unit for Lifelong Health and Ageing at UCLDementia Research Centre, Institute of Neurology, University College LondonDementia Research Centre, Institute of Neurology, University College LondonAbstract Background Increasing age is the biggest risk factor for dementia, of which Alzheimer’s disease is the commonest cause. The pathological changes underpinning Alzheimer’s disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography and multi-modal magnetic resonance imaging allow key pathological processes underpinning cognitive impairment – including β-amyloid depostion, vascular disease, network breakdown and atrophy – to be assessed repeatedly and non-invasively. This enables potential determinants of dementia to be delineated earlier, and therefore opens a pre-symptomatic window where intervention may prevent the onset of cognitive symptoms. Methods/design This paper outlines the clinical, cognitive and imaging protocol of “Insight 46”, a neuroscience sub-study of the MRC National Survey of Health and Development. This is one of the oldest British birth cohort studies and has followed 5362 individuals since their birth in England, Scotland and Wales during one week in March 1946. These individuals have been tracked in 24 waves of data collection incorporating a wide range of health and functional measures, including repeat measures of cognitive function. Now aged 71 years, a small fraction have overt dementia, but estimates suggest that ~1/3 of individuals in this age group may be in the preclinical stages of Alzheimer’s disease. Insight 46 is recruiting 500 study members selected at random from those who attended a clinical visit at 60–64 years and on whom relevant lifecourse data are available. We describe the sub-study design and protocol which involves a prospective two time-point (0, 24 month) data collection covering clinical, neuropsychological, β-amyloid positron emission tomography and magnetic resonance imaging, biomarker and genetic information. Data collection started in 2015 (age 69) and aims to be completed in 2019 (age 73). Discussion Through the integration of data on the socioeconomic environment and on physical, psychological and cognitive function from 0 to 69 years, coupled with genetics, structural and molecular imaging, and intensive cognitive and neurological phenotyping, Insight 46 aims to identify lifetime factors which influence brain health and cognitive ageing, with particular focus on Alzheimer’s disease and cerebrovascular disease. This will provide an evidence base for the rational design of disease-modifying trials.http://link.springer.com/article/10.1186/s12883-017-0846-xEpidemiology, Life course, Genetics, Alzheimer’s Disease, Ageing, Magnetic resonance imaging, Positron emission tomography, Cognition, Vascular disease, Birth cohort |
spellingShingle | Christopher A. Lane Thomas D. Parker Dave M. Cash Kirsty Macpherson Elizabeth Donnachie Heidi Murray-Smith Anna Barnes Suzie Barker Daniel G. Beasley Jose Bras David Brown Ninon Burgos Michelle Byford M. Jorge Cardoso Ana Carvalho Jessica Collins Enrico De Vita John C. Dickson Norah Epie Miklos Espak Susie M. D. Henley Chandrashekar Hoskote Michael Hutel Jana Klimova Ian B. Malone Pawel Markiewicz Andrew Melbourne Marc Modat Anette Schrag Sachit Shah Nikhil Sharma Carole H. Sudre David L. Thomas Andrew Wong Hui Zhang John Hardy Henrik Zetterberg Sebastien Ourselin Sebastian J. Crutch Diana Kuh Marcus Richards Nick C. Fox Jonathan M. Schott Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development BMC Neurology Epidemiology, Life course, Genetics, Alzheimer’s Disease, Ageing, Magnetic resonance imaging, Positron emission tomography, Cognition, Vascular disease, Birth cohort |
title | Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development |
title_full | Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development |
title_fullStr | Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development |
title_full_unstemmed | Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development |
title_short | Study protocol: Insight 46 – a neuroscience sub-study of the MRC National Survey of Health and Development |
title_sort | study protocol insight 46 a neuroscience sub study of the mrc national survey of health and development |
topic | Epidemiology, Life course, Genetics, Alzheimer’s Disease, Ageing, Magnetic resonance imaging, Positron emission tomography, Cognition, Vascular disease, Birth cohort |
url | http://link.springer.com/article/10.1186/s12883-017-0846-x |
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