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Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.
Lane, Christopher A; Parker, Thomas D; Cash, Dave M; Macpherson, Kirsty; Donnachie, Elizabeth; Murray-Smith, Heidi; Barnes, Anna; Barker, Suzie; Beasley, Daniel G; Bras, Jose; Brown, David; Burgos, Ninon; Byford, Michelle; Jorge Cardoso, M; Carvalho, Ana; Collins, Jessica; De Vita, Enrico; Dickson, John C; Epie, Norah; Espak, Miklos; Henley, Susie M D; Hoskote, Chandrashekar; Hutel, Michael; Klimova, Jana; Malone, Ian B; Markiewicz, Pawel; Melbourne, Andrew; Modat, Marc; Schrag, Anette; Shah, Sachit; Sharma, Nikhil; Sudre, Carole H; Thomas, David L; Wong, Andrew; Zhang, Hui; Hardy, John; Zetterberg, Henrik; Ourselin, Sebastien; Crutch, Sebastian J; Kuh, Diana; Richards, Marcus; Fox, Nick C; Schott, Jonathan M.
Afiliación
  • Lane CA; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Parker TD; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Cash DM; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Macpherson K; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Donnachie E; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Murray-Smith H; Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK.
  • Barnes A; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Barker S; Institute of Nuclear Medicine, University College London Hospitals, London, UK.
  • Beasley DG; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Bras J; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Brown D; Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK.
  • Burgos N; Department of Medical Sciences and Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal.
  • Byford M; Institute of Nuclear Medicine, University College London Hospitals, London, UK.
  • Jorge Cardoso M; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Carvalho A; MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
  • Collins J; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • De Vita E; Institute of Nuclear Medicine, University College London Hospitals, London, UK.
  • Dickson JC; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Epie N; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
  • Espak M; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
  • Henley SMD; Institute of Nuclear Medicine, University College London Hospitals, London, UK.
  • Hoskote C; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Hutel M; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Klimova J; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Malone IB; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
  • Markiewicz P; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Melbourne A; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Modat M; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Schrag A; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Shah S; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Sharma N; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Sudre CH; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Thomas DL; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Wong A; Department of Clinical Neuroscience, Institute of Neurology, University College London, London, UK.
  • Zhang H; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
  • Hardy J; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
  • Zetterberg H; MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
  • Ourselin S; National Hospital for Neurology and Neurosurgery, London, UK.
  • Crutch SJ; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Kuh D; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK.
  • Richards M; Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK.
  • Fox NC; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK.
  • Schott JM; MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
BMC Neurol ; 17(1): 75, 2017 Apr 18.
Article en En | MEDLINE | ID: mdl-28420323
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 ß-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, ß-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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Diagnóstico Precoz Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMC Neurol Asunto de la revista: NEUROLOGIA Año: 2017 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Diagnóstico Precoz Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: BMC Neurol Asunto de la revista: NEUROLOGIA Año: 2017 Tipo del documento: Article