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Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

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Published on: January 24, 2020

Multi-modal imaging predicts memory performance in normal aging and cognitive decline.

K B Walhovd1, A M Fjell, A M Dale

  • 1Center for the Study of Human Cognition, Department of Psychology, University of Oslo, Norway. k.b.walhovd@psykologi.uio.no

Neurobiology of Aging
|October 8, 2008
PubMed
Summary
This summary is machine-generated.

Brain imaging and genetic data reveal how different brain regions and their functions impact memory. Medial temporal and parietal areas are key for learning, recognition, and recall across healthy individuals and those with cognitive impairment.

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Published on: January 24, 2020

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08:06

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Published on: August 15, 2010

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Genetics

Background:

  • Memory decline is a hallmark of aging and neurodegenerative diseases like Alzheimer's.
  • Understanding the neural correlates of memory is crucial for developing effective interventions.
  • Previous research suggests structural and metabolic changes in specific brain regions are linked to memory deficits.

Purpose of the Study:

  • To investigate the relationship between brain morphometry (MR imaging), metabolism (FDG-PET), and APOE genotype with memory performance.
  • To identify specific brain regions and imaging markers that predict memory function in normal controls (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD).

Main Methods:

  • A cohort of 161 participants (NC, MCI, AD) underwent MR imaging and FDG-PET scans.
  • Stepwise regression analyses were used to correlate imaging data and APOE genotype with memory scores.
  • Focus was placed on the episodic memory network, including the hippocampus, entorhinal cortex, and parietal regions.

Main Results:

  • In NC, hippocampal metabolism predicted learning and recall, while entorhinal metabolism predicted recognition.
  • In MCI, entorhinal and precuneus cortical thickness predicted learning, and parahippocampal metabolism predicted recognition.
  • In AD, posterior cingulate thickness predicted learning, and APOE genotype predicted recognition.
  • Across the total sample, hippocampal and precuneus measures, along with inferior parietal metabolism, predicted learning; hippocampal, parahippocampal, and APOE genotype predicted recognition.

Conclusions:

  • Neuroimaging (MR imaging, FDG-PET) and APOE genotype provide complementary insights into memory function across the spectrum of cognitive health.
  • Medial temporal and parietal brain regions, assessed via metabolism and morphometry, are critical for explaining memory variance.
  • Medial temporal structures are associated with learning, recall, and recognition, whereas parietal structures are primarily linked to learning.