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P2–270: Diffusion–tensor imaging tractography: Correlation with processing speed in aging
Author(s) -
Correia Stephen,
Lee Stephanie Y.,
Zhang Song,
Salloway Stephen P.,
Malloy Paul F.,
Laidlaw David H.
Publication year - 2006
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2006.05.1109
Subject(s) - diffusion mri , fractional anisotropy , cingulum (brain) , white matter , corpus callosum , tractography , psychology , linear regression , audiology , neuroscience , magnetic resonance imaging , mathematics , medicine , statistics , radiology
Table 1 provides descriptive statistics for the tractography and cognitive variables. Processing speed: There were trend level findings for step 1 (age, p = .079) and step 2 (TOIs, p = . 058). Age accounted for 28% of the variance in TMT-A performance (p =.079, trend). NTWL for the three TOIs accounted for an additional 41% of the variance (p = .101, trend for F change). Examination of standardized beta weights for the individual TOIs showed that NTWL in the right cingulum bundle was the strongest predictor (beta = − 585, p = .044 ; p > .05 for all other variables). Executive function: Step 1 was not significant (age, p = .46) and there was a trend level finding for step 2 (p = .08). Examination of standardized beta weights for the TOIs showed that NTWL in the interhemispheric fibers was the strongest predictor of TMT-B performance (beta = − .70, p = .01; p > .05 for all other variables). Conclusions
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