Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ)
2011

MRI Changes in the Brain Due to Normal Aging

Sample size: 26 publication Evidence: moderate

Author Information

Author(s): Draganski B., Ashburner J., Hutton C., Kherif F., Frackowiak R.S.J., Helms G., Weiskopf N.

Primary Institution: LREN, Département des Neurosciences Cliniques, CHUV, Université de Lausanne, Lausanne, Switzerland

Hypothesis

Normal/healthy ageing induces specific anatomical patterns of changes in grey matter volume, iron accumulation, myelin loss, and water diffusion properties.

Conclusion

The study found that normal aging is associated with specific changes in brain microstructure, including reductions in grey matter volume and alterations in various MRI parameters.

Supporting Evidence

  • Age-related reductions in cortical and subcortical grey matter volume were observed.
  • Changes in fractional anisotropy (FA), mean diffusivity (MD), magnetization transfer (MT), and R2* were regionally specific.
  • The study provides essential baseline data for studying disease against a background of healthy ageing.

Takeaway

As people get older, their brains change in specific ways that can be seen with special MRI scans, showing less grey matter and changes in how water moves in the brain.

Methodology

The study used voxel-based morphometric (VBM) analysis and voxel-based quantification (VBQ) of various MRI parameters in a cohort of healthy adults aged 18-85.

Potential Biases

Potential bias due to the exclusion of certain age groups and conditions that could affect brain structure.

Limitations

The study did not include elderly subjects with significant brain atrophy or white matter hyper-intensities, which may limit the generalizability of the findings.

Participant Demographics

26 healthy adults (19 males, age range 18–85 years, mean age 52 years).

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.neuroimage.2011.01.052

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