Abstract:
:This study examined within-subject differences among three fluid abilities that decline with age: reasoning, episodic memory and processing speed, compared with vocabulary, a crystallized ability that is maintained with age. The data were obtained from the Reference Ability Neural Network (RANN) study from which 221 participants had complete behavioral data for all 12 cognitive tasks, three per ability, along with fMRI and diffusion weighted imaging data. We used fMRI task activation to guide white matter tractography, and generated mean percent signal change in the regions associated with the processing of each ability along with diffusion tensor imaging measures, fractional anisotropy (FA) and mean diffusivity (MD), for each cognitive ability. Qualitatively brain regions associated with vocabulary were more localized and lateralized to the left hemisphere whereas the fluid abilities were associated with brain activations that were more distributed across the brain and bilaterally situated. Using continuous age, we observed smaller correlations between MD and age for white matter tracts connecting brain regions associated with the vocabulary ability than that for the fluid abilities, suggesting that vocabulary white matter tracts were better maintained with age. Furthermore, after multiple comparisons correction and accounting for age, education, and sex, the mean percent signal change for episodic memory showed positive associations with behavioral performance. Overall, the vocabulary ability may be better maintained with age due to the more localized brain regions involved, which places smaller reliance on long distance white matter tracts for signal transduction. These results support the hypothesis that functional activation and white matter structures underlying the vocabulary ability contribute to the ability's greater resistance against aging.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Gazes Y,Lee S,Sakhardande J,Mensing A,Razlighi Q,Ohkawa A,Pleshkevich M,Luo L,Habeck Cdoi
10.1016/j.neuroimage.2020.116809subject
Has Abstractpub_date
2020-07-15 00:00:00pages
116809eissn
1053-8119issn
1095-9572pii
S1053-8119(20)30296-2journal_volume
215pub_type
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