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Brain Imaging Behav · Dec 2015
Fiber bundle length and cognition: a length-based tractography MRI study.
- Ashley M Behrman-Lay, Christina Usher, Thomas E Conturo, Stephen Correia, David H Laidlaw, Elizabeth M Lane, Jacob Bolzenius, Jodi M Heaps, Lauren E Salminen, Laurie M Baker, Ryan Cabeen, Erbil Akbudak, Xi Luo, Peisi Yan, and Robert H Paul.
- Department of Psychology, University of Missouri - Saint Louis, 1 University Boulevard, Stadler Hall 442C, Saint Louis, MO, 63121, 314 - 805 - 3684, USA. ambn98@mail.umsl.edu.
- Brain Imaging Behav. 2015 Dec 1; 9 (4): 765-75.
AbstractExecutive function (EF) and cognitive processing speed (CPS) are two cognitive performance domains that decline with advanced age. Reduced EF and CPS are known to correlate with age-related frontal-lobe volume loss. However, it remains unclear whether white matter microstructure in these regions is associated with age-related decline in EF and/or CPS. We utilized quantitative tractography metrics derived from diffusion-tensor MRI to investigate the relationship between the mean fiber bundle lengths (FBLs) projecting to different lobes, and EF/CPS performance in 73 healthy aging adults. We measured aspects of EF and CPS with the Trail Making Test (TMT), Color-Word Interference Test, Letter-Number Sequencing (L-N Seq), and Symbol Coding. Results revealed that parietal and occipital FBLs explained a significant portion of variance in EF. Frontal, temporal, and occipital FBLs explained a significant portion of variance in CPS. Shorter occipital FBLs were associated with poorer performance on the EF tests TMT-B and CWIT 3. Shorter frontal, parietal, and occipital FBLs were associated with poorer performance on L-N Seq and Symbol Coding. Shorter frontal and temporal FBLs were associated with lower performance on CPS tests TMT-A and CWIT 1. Shorter FBLs were also associated with increased age. Results suggest an age-related FBL shortening in specific brain regions related to poorer EF and CPS performance among older adults. Overall, results support both the frontal aging hypothesis and processing speed theory, suggesting that each mechanism is contributing to age-related cognitive decline.
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