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Cognitive Processing Speed in Older Adults: Relationship with White Matter Integrity

Overview of attention for article published in PLOS ONE, November 2012
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Title
Cognitive Processing Speed in Older Adults: Relationship with White Matter Integrity
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050425
Pubmed ID
Authors

Geoffrey A. Kerchner, Caroline A. Racine, Sandra Hale, Reva Wilheim, Victor Laluz, Bruce L. Miller, Joel H. Kramer

Abstract

Cognitive processing slows with age. We sought to determine the importance of white matter integrity, assessed by diffusion tensor imaging (DTI), at influencing cognitive processing speed among normal older adults, assessed using a novel battery of computerized, non-verbal, choice reaction time tasks. We studied 131 cognitively normal adults aged 55-87 using a cross-sectional design. Each participant underwent our test battery, as well as MRI with DTI. We carried out cross-subject comparisons using tract-based spatial statistics. As expected, reaction time slowed significantly with age. In diffuse areas of frontal and parietal white matter, especially the anterior corpus callosum, fractional anisotropy values correlated negatively with reaction time. The genu and body of the corpus callosum, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus were among the areas most involved. This relationship was not explained by gray or white matter atrophy or by white matter lesion volume. In a statistical mediation analysis, loss of white matter integrity mediated the relationship between age and cognitive processing speed.

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Geographical breakdown

Country Count As %
United States 6 2%
Netherlands 2 <1%
Cuba 1 <1%
Japan 1 <1%
Unknown 248 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 19%
Student > Ph. D. Student 47 18%
Student > Master 35 14%
Student > Doctoral Student 24 9%
Student > Bachelor 18 7%
Other 39 15%
Unknown 47 18%
Readers by discipline Count As %
Psychology 82 32%
Neuroscience 39 15%
Medicine and Dentistry 33 13%
Engineering 11 4%
Agricultural and Biological Sciences 8 3%
Other 24 9%
Unknown 61 24%