Functional Connectivity and Response Inhibition: A Secondary Analysis of an 8-Week Randomized Controlled Trial of Computerized Cognitive Training Academic Article

abstract

  • Background: Evidence suggests that computerized cognitive training (CCT) can improve cognitive function in older adults, particularly executive functions. However, the underlying mechanisms by which CCT may improve executive functions are not well established. Objective: To determine: 1) inter-network functional connectivity correlates of changes in executive functions; and 2) the effect of CCT on these functional connectivity correlates. Methods: This secondary analysis included a subset of 124 adults aged 65–85 years enrolled in an 8-week randomized controlled trial of CCT. Participants were randomized to either: 1) group-based CCT 3x/week for 1 hour plus 3x/week home-based training; 2) group-based CCT preceded by brisk walking (Ex+CCT) 3x/week for 1 hour plus 3x/week home-based training; or 3) group-based balanced and toned (BAT) classes 3x/week for 1 hour (control). At baseline and trial completion, 65 of the 124 participants completed resting-state functional magnetic resonance imaging and neuropsychological tests of executive functions, specifically the Stroop Colour-Word Test and Flanker Test. Results: Improved performance on the Stroop Colour-Word Test and Flanker Test were associated with decreased correlation between the default mode network (DMN) and the fronto-parietal network (FPN) (p < 0.05). Compared with BAT, CCT alone significantly decreased correlation between the left dorsolateral prefrontal cortex and both the left and right medial temporal gyrus (–0.143, 95%CI [–0.256,–0.030], p = 0.014, and –0.123, 95%CI [–0.242,–0.004], p = 0.043, respectively). Conclusion: Decreased correlation between DMN and FPN, indicating less connection between these networks, may be an underlying mechanism by which CCT improves executive functions. Future studies are needed to replicate this finding.

authors

  • Ten Brinke, Lisanne F.
  • Hsu, Chun Liang
  • Erickson, Kirk, PhD
  • Handy, Todd C.
  • Liu-Ambrose, Teresa

Publication Date

  • 2021

webpage

published in

Digital Object Identifier (DOI)

number of pages

  • 12

start page

  • 1525

end page

  • 1537

volume

  • 80

issue

  • 4