Brain Aging, Cognition in Youth and Old Age and Vascular Disease in the Lothian Birth Cohort 1936: Rationale, Design and Methodology of the Imaging Protocol

Wardlaw, Joanna M.; Bastin, Mark E.; Hernández, Maria C. Valdés; Maniega, Susana Muñoz; Royle, Natalie A.; Morris, Zoë; Clayden, Jonathan D.; Sandeman, Elaine M.; Eadie, Elizabeth; Murray, Catherine; Starr, John M.; Deary, Ian J.

doi:10.1111/j.1747-4949.2011.00683.x

Cited by 187 publications

(312 citation statements)

References 86 publications

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“…Full brain MRI acquisition parameters have been described previously [Wardlaw et al, 2011]. Briefly, all subjects had brain MRI using the same 1.5 Tesla GE Signa Horizon HDx clinical scanner (General Electric, Milwaukee, WI, USA) at Waves 2 and 3 (73 and 76 years); mean time between scanning was 3.7 years (SD = 0.26, range = 2.2–4.8).…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, all sequences were co‐registered and tissue volumes quantified using Gaussian mixture modeling cluster analysis [Valdés Hernández et al, 2010; Wardlaw et al, 2011]. According to Standards for Reporting Vascular changes on nEuroimaging (STRIVE), we explicitly defined WMH as punctate, focal, or diffuse lesions in all subcortical regions [Wardlaw et al, 2013].…”

Section: Methodsmentioning

confidence: 99%

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Brain volumetric changes and cognitive ageing during the eighth decade of life

Ritchie

Dickie

Cox

et al. 2015

Human Brain Mapping

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Later‐life changes in brain tissue volumes—decreases in the volume of healthy grey and white matter and increases in the volume of white matter hyperintensities (WMH)—are strong candidates to explain some of the variation in ageing‐related cognitive decline. We assessed fluid intelligence, memory, processing speed, and brain volumes (from structural MRI) at mean age 73 years, and at mean age 76 in a narrow‐age sample of older individuals (n = 657 with brain volumetric data at the initial wave, n = 465 at follow‐up). We used latent variable modeling to extract error‐free cognitive levels and slopes. Initial levels of cognitive ability were predictive of subsequent brain tissue volume changes. Initial brain volumes were not predictive of subsequent cognitive changes. Brain volume changes, especially increases in WMH, were associated with declines in each of the cognitive abilities. All statistically significant results were modest in size (absolute r‐values ranged from 0.114 to 0.334). These results build a comprehensive picture of macrostructural brain volume changes and declines in important cognitive faculties during the eighth decade of life. Hum Brain Mapp 36:4910–4925, 2015. © 2015 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Brain volumetric changes and cognitive ageing during the eighth decade of life

Ritchie

Dickie

Cox

et al. 2015

Human Brain Mapping

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“…These individuals were first tested at 11 years of age in 1947 using a general intelligence test and since the age of 70 have been cognitively re-evaluated every 3 years. In addition to this longitudinal data on cognition, the LBC1936 study has accumulated an extensive database on genetics, biomedical, social and lifestyle factors, and longitudinal brain imaging, resulting in a highly characterised cohort [6] [7] [8] [9]. Post-mortem brains have been donated by 9 nondemented individuals, and to date, there is pre-mortem authorisation for brain donation from 173 individuals.…”

Section: Introductionmentioning

confidence: 99%

Assessing amyloid-β, tau, and glial features in Lothian Birth Cohort 1936 participants post-mortem

Tzioras¹,

Easter²,

Harris³

et al. 2017

Matters

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“…In addition to standard structural T2‐, T2*‐, and FLAIR‐weighted MRI, the imaging protocol included a high‐resolution T1‐weighted volume sequence acquired in the coronal plane with field‐of‐view of 256 × 256 mm, imaging matrix 192 × 192 (zero‐filled to 256 × 256), 160 1·3‐mm thick slices giving 1 × 1 × 1·3‐mm voxel dimensions 13. The repetition, echo, and inversion times were 10, 4, and 500 ms respectively.…”

Section: Methodsmentioning

confidence: 99%

APOE/TOMM40 Genetic Loci, White Matter Hyperintensities, and Cerebral Microbleeds

Lyall

Maniega

Harris

et al. 2015

International Journal of Stroke

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BackgroundTwo markers of cerebral small vessel disease are white matter hyperintensities and cerebral microbleeds, which commonly occur in people with Alzheimer's disease.Aim and/or hypothesisTo test for independent associations between two Alzheimer's disease‐susceptibility gene loci – APOE ε and the TOMM 40 ‘523’ poly‐T repeat – and white matter hyperintensities/cerebral microbleed burden in community‐dwelling older adults.MethodsParticipants in the Lothian Birth Cohort 1936 underwent genotyping for APOE ε and TOMM 40 523, and detailed structural brain magnetic resonance imaging at a mean age of 72·70 years (standard deviation = 0·7; range = 71–74).ResultsNo significant effects of APOE ε or TOMM 40 523 genotypes on white matter hyperintensities or cerebral microbleed burden were found amongst 624 participants.ConclusionsLack of association between two Alzheimer's disease susceptibility gene loci and markers of cerebral small vessel disease may reflect the relative health of this population compared with those in other studies in the literature.

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Brain Aging, Cognition in Youth and Old Age and Vascular Disease in the Lothian Birth Cohort 1936: Rationale, Design and Methodology of the Imaging Protocol

Cited by 187 publications

References 86 publications

Brain volumetric changes and cognitive ageing during the eighth decade of life

Brain volumetric changes and cognitive ageing during the eighth decade of life

Assessing amyloid-β, tau, and glial features in Lothian Birth Cohort 1936 participants post-mortem

APOE/TOMM40 Genetic Loci, White Matter Hyperintensities, and Cerebral Microbleeds

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