Cited by 250Advanced Neuroimaging Techniques and ApplicationsCerebrovascular and genetic disordersFunctional Brain Connectivity Studies

Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging

Kochunov, P., Thompson, P.M., Lancaster, J.L., Bartzokis, G., Smith, S., Coyle, T., Royall, D.R., Laird, A. +1 more·2007·NeuroImage

Abstract

White matter (WM) fractional anisotropy (FA) is thought to be related to WM integrity and decline in FA is often used as an index of decreasing WM health. However, the relationship of FA to other structural indices of cerebral health has not been well studied. We hypothesized that the decline in WM health will be associated with changes in several other indices of cerebral health. In this manuscript we studied the correlation between whole-brain/hemispheric/corpus callosum FA and gray matter (GM) thickness, sulcal span, and the volume of T2-hyperintense WM in a group of 31 healthy aging individuals (12 males/19 females) aged 57-82 years old. Individual subjects' FA measures were calculated from diffusion tracing imaging (DTI) data using tract-based spatial statistics--an approach specifically designed and validated for voxel-wise multi-subject FA analysis. Age-controlled correlation analysis showed that whole-brain average FA values were significantly and positively correlated with the subject's average GM thickness and negatively correlated with hyperintense WM volume. Intra-hemispheric correlations between FA and other measures of cerebral health had generally greater effect sizes than inter-hemispheric correction, with correlation between left FA and left GM thickness being the most significant (r=0.6, p<0.01). Regional analysis of FA values showed that late-myelinating fiber tracts of the genu of corpus callosum had higher association with other cerebral health indices. These data are consistent with the hypothesis that late-myelinating regions of the brain bear the brunt of age-related degenerative changes.

Integrity signals

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Crossref · 10.1016/j.neuroimage.2006.12.021

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Authors
Kochunov, P., Thompson, P. M., Lancaster, J. L., Bartzokis, G., Smith, S., Coyle, T., Royall, D. R., Laird, A., & Fox, P. T.
Affiliations
  • The University of Texas at San Antonio Health Science Center (US)
  • University of California, Los Angeles (US)
  • University of Oxford (GB)
  • The University of Texas at San Antonio (US)
Corresponding author
Kochunov, P.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2007-04
Volume
35
Issue
2
Pages
478-487
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2069163567
Cited by
250
References
62
Citations by year
2026: 7 · 2025: 6 · 2024: 4 · 2023: 12 · 2022: 11 · 2021: 14 · 2020: 7 · 2019: 10 · 2018: 13 · 2017: 14 · 2016: 18 · 2015: 14 · 2014: 19 · 2013: 10 · 2012: 18
FWCI
9.16
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • Engineering and Physical Sciences Research Council (GR/R77018/01)
  • National Institute on Aging (AG021431, P50AG016570, P50-AG 16570, R01AG021431)
  • National Institute of Mental Health (MH066029, R01MH066029)
  • National Institute on Drug Abuse (P20 MH/ DA52176)
  • National Institute of Biomedical Imaging and Bioengineering (EB 01651)
  • U.S. National Library of Medicine (LM 05639, R01LM005639)
  • National Center for Research Resources (R21RR019771, RR019771)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
white matter fractional anisotropy, normal aging, gray matter thickness, corpus callosum, corpus callosum genu, white matter integrity, diffusion tensor imaging, tract-based spatial statistics
MeSH terms
Aged, Aged, 80 and over, Aging, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Anisotropy

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