Study protocol: The Whitehall II imaging sub-study

  • Nicola Filippini
  • , Eniko Zsoldos
  • , Rita Haapakoski
  • , Claire E. Sexton
  • , Abda Mahmood
  • , Charlotte L. Allan
  • , Anya Topiwala
  • , Vyara Valkanova
  • , Eric J. Brunner
  • , Martin J. Shipley
  • , Edward Auerbach
  • , Steen Moeller
  • , Kâmil Uǧurbil
  • , Junqian Xu
  • , Essa Yacoub
  • , Jesper Andersson
  • , Janine Bijsterbosch
  • , Stuart Clare
  • , Ludovica Griffanti
  • , Aaron T. Hess
  • Mark Jenkinson, Karla L. Miller, Gholamreza Salimi-Khorshidi, Stamatios N. Sotiropoulos, Natalie L. Voets, Stephen M. Smith, John R. Geddes, Archana Singh-Manoux, Clare E. Mackay, Mika Kivimäki, Klaus P. Ebmeier

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

Background: The Whitehall II (WHII) study of British civil servants provides a unique source of longitudinal data to investigate key factors hypothesized to affect brain health and cognitive ageing. This paper introduces the multi-modal magnetic resonance imaging (MRI) protocol and cognitive assessment designed to investigate brain health in a random sample of 800 members of the WHII study.Methods/design: A total of 6035 civil servants participated in the WHII Phase 11 clinical examination in 2012-2013. A random sample of these participants was included in a sub-study comprising an MRI brain scan, a detailed clinical and cognitive assessment, and collection of blood and buccal mucosal samples for the characterisation of immune function and associated measures. Data collection for this sub-study started in 2012 and will be completed by 2016. The participants, for whom social and health records have been collected since 1985, were between 60-85 years of age at the time the MRI study started. Here, we describe the pre-specified clinical and cognitive assessment protocols, the state-of-the-art MRI sequences and latest pipelines for analyses of this sub-study.Discussion: The integration of cutting-edge MRI techniques, clinical and cognitive tests in combination with retrospective data on social, behavioural and biological variables during the preceding 25 years from a well-established longitudinal epidemiological study (WHII cohort) will provide a unique opportunity to examine brain structure and function in relation to age-related diseases and the modifiable and non-modifiable factors affecting resilience against and vulnerability to adverse brain changes.

Original languageEnglish
Article number159
JournalBMC Psychiatry
Volume14
Issue number1
DOIs
StatePublished - 30 May 2014

Keywords

  • Affective disorders
  • Connectome
  • Dementia
  • Diffusion tensor imaging
  • Epidemiology
  • Functional MRI
  • Magnetic resonance imaging
  • Neuropsychology
  • Resting state brain networks
  • White matter

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