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Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age.
Wiseman, Stewart J; Booth, Tom; Ritchie, Stuart J; Cox, Simon R; Muñoz Maniega, Susana; Valdés Hernández, Maria Del C; Dickie, David Alexander; Royle, Natalie A; Starr, John M; Deary, Ian J; Wardlaw, Joanna M; Bastin, Mark E.
Afiliação
  • Wiseman SJ; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Booth T; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
  • Ritchie SJ; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
  • Cox SR; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.
  • Muñoz Maniega S; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
  • Valdés Hernández MDC; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.
  • Dickie DA; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Royle NA; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Starr JM; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Deary IJ; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Wardlaw JM; Department of Geriatric Medicine, NHS Lothian, Edinburgh, United Kingdom.
  • Bastin ME; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Hum Brain Mapp ; 39(2): 622-632, 2018 02.
Article em En | MEDLINE | ID: mdl-29139161
ABSTRACT

OBJECTIVE:

To assess brain structural connectivity in relation to cognitive abilities in healthy ageing, and the mediating effects of white matter hyper-intensity (WMH) volume.

METHODS:

MRI data were analysed in 558 members of the Lothian Birth Cohort 1936. Brains were segmented into 85 regions and combined with tractography to generate structural connectomes. WMH volume was quantified. Relationships between whole-brain connectivity, assessed using graph theory metrics, and four major domains of cognitive ability (visuospatial reasoning, verbal memory, information processing speed and crystallized ability) were investigated, as was the mediating effects of WMH volume on these relationships.

RESULTS:

Visuospatial reasoning was associated with network strength, mean shortest path length, and global efficiency. Memory was not associated with any network connectivity metric. Information processing speed and crystallized ability were associated with all network measures. Some relationships were lost when adjusted for mean network FA. WMH volume mediated 11%-15% of the relationships between most network measures and information processing speed, even after adjusting for mean network FA.

CONCLUSION:

Brain structural connectivity relates to visuospatial reasoning, information processing speed and crystallized ability, but not memory, in this relatively healthy age-homogeneous cohort of 73 year olds. When adjusted for mean FA across the network, most relationships are lost, except with information processing speed suggesting that the underlying topological network structure is related to this cognitive domain. Moreover, the connectome-processing speed relationship is partly mediated by WMH volume in this cohort. Hum Brain Mapp 39622-632, 2018. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Processos Mentais Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Processos Mentais Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article