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Related Experiment Video

Updated: Jun 26, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
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Linking Cognitive Integrity to Working Memory Dynamics in the Aging Human Brain.

Gina Monov1, Henrik Stein2, Leonie Klock2

  • 1Section of Computational Cognitive Neuroscience, Department of Neurophysiology & Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany monov.gina@gmail.com.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|May 17, 2024
PubMed
Summary
This summary is machine-generated.

Working memory declines with age due to increased neural noise, impacting cognitive function. This age-related working memory noise is linked to cognitive integrity, especially in mild cognitive impairment (MCI).

Keywords:
behavioral modelingelectrophysiologyneural dynamicsneuroimagingtranslational neuroscience

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Aging Research

Background:

  • Working memory (WM) capacity declines with age, affecting cognitive performance.
  • This decline is associated with neural activity changes persisting after stimulus presentation.
  • Older adults, including those with mild cognitive impairment (MCI), experience WM deficits.

Purpose of the Study:

  • To investigate the dynamics of working memory in aging and MCI.
  • To differentiate between internal noise and decision thresholds in WM performance.
  • To link neural activity and computational models of WM to cognitive integrity.

Main Methods:

  • Utilized behavioral modeling, neuropsychological assessment, and magnetoencephalography (MEG).
  • Participants performed a visuospatial delayed match-to-sample task.
  • A computational model dissociated internal noise from decision thresholds.

Main Results:

  • Task accuracy decreased with increased delay and stimulus proximity.
  • Older adults showed more false alarms than younger adults at small stimulus distances.
  • Computational models revealed increased WM noise in older adults, correlating with MEG-measured neural activity.
  • Internal noise in MCI patients correlated with clinical cognitive integrity assessments.

Conclusions:

  • Working memory stability deteriorates with age due to increased neural noise.
  • This age-related increase in WM noise is specifically linked to cognitive integrity in individuals with MCI.
  • Findings suggest neural noise as a key factor in age-related cognitive decline and MCI progression.