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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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White matter changes and word finding failures with increasing age.

Emmanuel A Stamatakis1, Meredith A Shafto, Guy Williams

  • 1Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom. eas46@cam.ac.uk

Plos One
|January 21, 2011
PubMed
Summary

Age-related white matter changes impact language production, specifically word-finding failures. Diffusion Tensor MRI revealed that reduced white matter integrity in specific language regions correlates with increased word-finding difficulties in older adults.

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Area of Science:

  • Neuroscience
  • Cognitive Aging
  • Neuroimaging

Background:

  • Aging populations require understanding neurophysiological changes in cognition.
  • Research often focuses on grey matter, but white matter changes are crucial for cognitive function.
  • Word-finding failures are a common age-related cognitive change.

Purpose of the Study:

  • To investigate the relationship between age-related white matter integrity and language production.
  • To specifically examine the link between white matter changes and word-finding failures.

Main Methods:

  • Diffusion Tensor MRI (DT-MRI) was employed to assess white matter integrity.
  • Fractional Anisotropy (FA) images were calculated as a measure of white matter organization.
  • Voxel-based linear regression analyses related FA to picture naming performance.

Main Results:

  • Successful picture naming correlated positively with white matter integrity in language-related regions.
  • Word-finding failures correlated negatively with white matter integrity in the posterior superior longitudinal fasciculus.
  • DT-MRI highlights specific white matter pathways affected by aging.

Conclusions:

  • DT-MRI provides evidence linking age-related white matter alterations to word-finding difficulties.
  • Specific white matter regions are critical for maintaining language production with age.
  • Findings contribute to understanding the neurobiology of cognitive aging.