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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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