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Biomarkers.

Huitong Ding1, Xavier Serrano1, Edward Searls1

  • 1Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.

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|December 26, 2025
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Summary
This summary is machine-generated.

Repetitive head impacts (RHI) in older adults are linked to greater variability in digital cognitive tests. Individuals with RHI showed more pronounced fluctuations and less practice benefit, highlighting the need to consider RHI history in cognitive assessments.

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Area of Science:

  • Neuroscience
  • Gerontology
  • Sports Medicine

Background:

  • Repetitive head impacts (RHI) are associated with cognitive decline and neurodegenerative diseases.
  • Traditional cognitive tests may not detect subtle deficits from RHI.
  • Digital measures may offer more sensitive detection of RHI-related cognitive changes.

Purpose of the Study:

  • To investigate the influence of RHI on the stability of digital neuropsychological measures.
  • To compare cognitive performance variability between cognitively intact older adults with and without RHI history.

Main Methods:

  • Pilot study using data from the Boston University Alzheimer's Disease Research Center.
  • RHI status determined by 2021 NINDS TES Research Diagnostic Criteria.
  • Defense Automated Neurobehavioral Assessment (DANA) digital measures analyzed for intraindividual variability (coefficient of variation).
  • Mann-Whitney U tests and linear mixed-effects models compared variability between RHI and non-RHI groups.

Main Results:

  • 58 cognitively intact older adults (10 RHI) participated.
  • Day-to-day fluctuations in DANA performance were generally small.
  • Individuals with RHI exhibited significantly greater variability in tasks like Go/No-Go and Simple Response Time.
  • A significant interaction effect was observed for the RHI group in the Procedural Response Time task.

Conclusions:

  • Digital cognitive measures showed general stability but revealed increased variability in older adults with RHI.
  • Individuals with RHI appeared to benefit less from repeated practice on digital tasks.
  • RHI history is a crucial factor for interpreting longitudinal cognitive assessments in aging populations.