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White matter tract covariance patterns predict age-declining cognitive abilities.

Yunglin Gazes | F DuBois Bowman | Qolamreza R Razlighi | Deirdre O'Shea | Yaakov Stern | Christian Habeck
NeuroImage | 2016

Previous studies investigating the relationship of white matter (WM) integrity to cognitive abilities and aging have either focused on a global measure or a few selected WM tracts. Ideally, contribution from all of the WM tracts should be evaluated at the same time. However, the high collinearity among WM tracts precludes systematic examination of WM tracts simultaneously without sacrificing statistical power due to stringent multiple-comparison corrections. Multivariate covariance techniques enable comprehensive simultaneous examination of all WM tracts without being penalized for high collinearity among observations.

Pubmed ID: 26477658

Research resources used in this publication

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Associated grants

  • Agency: NIA NIH HHS, United States
    Id: R01 AG26158
  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR024156
  • Agency: NIA NIH HHS, United States
    Id: R01 AG038465
  • Agency: NIA NIH HHS, United States
    Id: R01 AG026158
  • Agency: NIA NIH HHS, United States
    Id: K01 AG044467
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000040
  • Agency: NIA NIH HHS, United States
    Id: RF1 AG038465

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FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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