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Updated: Jan 29, 2026

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function
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[The relationship between simple numerical function and gray matter volume in normal brain aging].

L K Luo1, C P Ren, C H Wang

  • 1Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Zhonghua Yi Xue Za Zhi
|February 18, 2019
PubMed
Summary
This summary is machine-generated.

Normal brain aging is associated with gray matter volume loss, particularly in the frontal and cingulate regions. This decline in gray matter volume correlates with reduced simple numerical function in older adults.

Keywords:
BrainCell agingCognitionMagnetic resonance imaging

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Area of Science:

  • Neuroscience
  • Radiology
  • Gerontology

Background:

  • Normal brain aging involves structural and functional changes.
  • Cognitive functions, such as numerical processing, can decline with age.
  • Understanding the neural correlates of cognitive decline is crucial for interventions.

Purpose of the Study:

  • To investigate the relationship between gray matter volume (GMV) and simple numerical function in healthy aging.
  • To identify specific brain regions associated with age-related decline in numerical abilities.

Main Methods:

  • Employed voxel-based morphometry (VBM) on MRI scans of 123 healthy Han Chinese adults (18-70 years).
  • Analyzed differences in GMV across age groups.
  • Correlated GMV in identified regions with performance on simple numerical tasks.

Main Results:

  • Significant GMV differences were observed in bilateral frontal gyrus, anterior and middle cingulate gyrus, olfactory cortex, caudate nucleus, and insula.
  • GMV in the bilateral superior frontal gyrus and anterior cingulate gyrus showed the strongest correlation with simple numerical function.
  • Positive correlations between GMV and numerical task performance persisted even after controlling for age.

Conclusions:

  • Normal brain aging is characterized by widespread gray matter atrophy.
  • The decline in simple numerical function during aging is linked to reduced GMV in frontal and anterior cingulate areas.
  • These findings highlight the structural basis for age-related changes in numerical cognition.