Contralateral delay activity is not a robust marker of cognitive function in older adults at risk of mild cognitive impairment

Francesca R. Farina*, Gabija Pragulbickaitė, Marc Bennett, Cian Judd, Kevin Walsh, Samantha Mitchell, Redmond G. O'Connell, Robert Whelan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Contralateral delay activity (CDA) has been proposed as a pre-clinical neural marker for mild cognitive impairment (MCI). However, existing evidence is limited to one study with a small sample size (n = 24). Our aim was to extend previous work by investigating the relationship between the CDA and MCI risk in a large sample of older adults (n = 76). We used a regression approach to determine whether (and when) CDA amplitude predicted MCI risk, as indexed by the Montreal Cognitive Assessment (MoCA). CDA amplitude from ~300-500 and ~800-900 ms predicted MoCA performance. However, significant effects were only observed for specific electrodes (P5/P6 and CP3/CP4, but not PO7/PO8) and the nature of the relationship between the CDA and MoCA scores differed across time and according to set size. Bayesian regression analysis indicated partial evidence in favour of the null hypothesis (BF10 values = 4–1.18). Contrary to previous results, our findings suggest that the CDA may not a robust marker of MCI risk. More broadly, our results highlight the difficulty in identifying at-risk individuals, particularly as MCI is a heterogeneous, unstable condition. Future research should prioritise longitudinal approaches in order to track the progression of the CDA and its association with cognitive decline in later life.

Original languageEnglish (US)
Pages (from-to)2367-2375
Number of pages9
JournalEuropean Journal of Neuroscience
Volume51
Issue number12
DOIs
StatePublished - Jun 1 2020

Keywords

  • contralateral delay activity
  • EEG
  • mild cognitive impairment
  • older adults
  • working memory

ASJC Scopus subject areas

  • Neuroscience(all)

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