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Related Experiment Video

Updated: Dec 23, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Aging is not equal across memory systems.

R S Gardner1, L A Newman2, E G Mohler3

  • 1Department of Biology, Syracuse University, Syracuse, NY 13244, United States.

Neurobiology of Learning and Memory
|April 22, 2020
PubMed
Summary
This summary is machine-generated.

Aging impairs hippocampus-dependent learning but spares striatum-dependent learning in rats. Brain glucose levels during learning correlate with these age-related cognitive changes, suggesting metabolic factors influence memory systems.

Keywords:
AgingGlucoseHippocampusObject recognitionPlaceResponseStriatum

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Area of Science:

  • Neuroscience
  • Cognitive Aging
  • Metabolic Neuroscience

Background:

  • Cognitive decline with age affects various brain regions differently.
  • The hippocampus and striatum are critical for distinct types of learning and memory.
  • Brain glucose metabolism may play a role in age-related cognitive changes.

Purpose of the Study:

  • To compare the effects of aging on hippocampus-sensitive and striatum-sensitive learning tasks in rats.
  • To investigate the role of brain glucose levels in age-related learning differences.
  • To explore the relationship between metabolic substrate availability and cognitive aging in specific brain regions.

Main Methods:

  • Comparison of learning performance in young and old Fischer-344 rats on hippocampus- and striatum-sensitive tasks.
  • Assessment of novel object recognition, dual solution tasks, and maze tasks.
  • Measurement of extracellular glucose levels in the hippocampus and striatum during learning tasks.

Main Results:

  • Old rats showed impaired performance on hippocampus-sensitive tasks (e.g., object location) but maintained or enhanced performance on striatum-sensitive tasks (e.g., object replacement).
  • Young rats relied more on hippocampal strategies, while old rats shifted to striatal strategies.
  • Training-related glucose increases were attenuated in the hippocampus of old rats but comparable in the striatum of both age groups.

Conclusions:

  • Aging selectively impairs hippocampus-dependent learning while sparing striatum-dependent learning.
  • Age-related deficits in hippocampus-sensitive learning are associated with reduced brain glucose availability during training.
  • Metabolic substrate availability in the brain may be a key factor in cognitive aging across different memory systems.