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The Cognitive Connectome in Healthy Aging

Garcia-Cabello, E. (author)
University of La Laguna (ULL)
Gonzalez-Burgos, L. (author)
Karolinska Institute,University of La Laguna (ULL)
Pereira, Joana B. (author)
Karolinska Institute,Lund University,Lunds universitet,Karolinska Institutet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups,Aging Research Center
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Hernandez-Cabrera, J. A. (author)
University of La Laguna (ULL)
Westman, E. (author)
Karolinska Institute,Karolinska Institutet,King's College London
Volpe, Giovanni, 1979 (author)
University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
Barroso, J. (author)
University of La Laguna (ULL)
Ferreira, D. (author)
Karolinska Institute,Karolinska Institutet,University of La Laguna (ULL),Mayo Clinic Minnesota
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 (creator_code:org_t)
2021-08-18
2021
English.
In: Frontiers in Aging Neuroscience. - : Frontiers Media SA. - 1663-4365. ; 13
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Objectives: Cognitive aging has been extensively investigated using both univariate and multivariate analyses. Sophisticated multivariate approaches such as graph theory could potentially capture unknown complex associations between multiple cognitive variables. The aim of this study was to assess whether cognition is organized into a structure that could be called the "cognitive connectome," and whether such connectome differs between age groups. Methods: A total of 334 cognitively unimpaired individuals were stratified into early-middle-age (37-50 years, n = 110), late-middle-age (51-64 years, n = 106), and elderly (65-78 years, n = 118) groups. We built cognitive networks from 47 cognitive variables for each age group using graph theory and compared the groups using different global and nodal graph measures. Results: We identified a cognitive connectome characterized by five modules: verbal memory, visual memory-visuospatial abilities, procedural memory, executive-premotor functions, and processing speed. The elderly group showed reduced transitivity and average strength as well as increased global efficiency compared with the early-middle-age group. The late-middle-age group showed reduced global and local efficiency and modularity compared with the early-middle-age group. Nodal analyses showed the important role of executive functions and processing speed in explaining the differences between age groups. Conclusions: We identified a cognitive connectome that is rather stable during aging in cognitively healthy individuals, with the observed differences highlighting the important role of executive functions and processing speed. We translated the connectome concept from the neuroimaging field to cognitive data, demonstrating its potential to advance our understanding of the complexity of cognitive aging.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Geriatrik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Geriatrics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Neurosciences (hsv//eng)

Keyword

connectome
cognition
aging
graph theory
compensation
differentiation
alzheimers-disease
processing-speed
older-adults
age
dementia
reserve
matter
performance
progression
networks
Geriatrics & Gerontology
Neurosciences & Neurology

Publication and Content Type

ref (subject category)
art (subject category)

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