Aging, cognition, and the brain: effects of age-related variation in white matter integrity on neuropsychological function

2018 ◽  
Vol 23 (7) ◽  
pp. 831-839 ◽  
Author(s):  
Yang-Teng Fan ◽  
Ya-Wen Fang ◽  
Ya-Ping Chen ◽  
Eric D. Leshikar ◽  
Ching-Po Lin ◽  
...  
2021 ◽  
Author(s):  
Gabriel Ducharme-Laliberté ◽  
Samira Mellah ◽  
Sylvie Belleville

Abstract Brain maintenance refers to the fact that some older adults experience few age-related changes in the brain, which helps maintain their cognition. Objectives. The goals of this study are to assess maintenance of white matter integrity, test whether lifestyle factors affect the maintenance of white matter integrity, and measure whether maintenance of white matter integrity explains inter-individual differences in working memory (WM). Methods. Forty-one cognitively healthy older adults received a structural magnetic resonance imaging (MRI) examination to measure white matter lesions. They completed an n-back WM task with different loads (1- & 2-back), along with a questionnaire on their lifestyle. Results. There was a positive association between age and volume of white matter lesions. This association was no longer found in those with higher lifestyle scores. In addition, smaller volumes of white matter lesions were associated with better performance than expected for age in the 1-back WM task. Discussion. Better WM in older adults is associated with maintenance of white matter integrity, which in turn is linked to a more stimulating lifestyle throughout life.


NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S128
Author(s):  
H Lemaitre ◽  
S Marenco ◽  
M Emery ◽  
T Alam ◽  
M Geramita ◽  
...  

2020 ◽  
Vol 30 (10) ◽  
pp. 5270-5280
Author(s):  
Lieke de Boer ◽  
Benjamín Garzón ◽  
Jan Axelsson ◽  
Katrine Riklund ◽  
Lars Nyberg ◽  
...  

Abstract Probabilistic reward learning reflects the ability to adapt choices based on probabilistic feedback. The dopaminergically innervated corticostriatal circuit in the brain plays an important role in supporting successful probabilistic reward learning. Several components of the corticostriatal circuit deteriorate with age, as it does probabilistic reward learning. We showed previously that D1 receptor availability in NAcc predicts the strength of anticipatory value signaling in vmPFC, a neural correlate of probabilistic learning that is attenuated in older participants and predicts probabilistic reward learning performance. We investigated how white matter integrity in the pathway between nucleus accumbens (NAcc) and ventromedial prefrontal cortex (vmPFC) relates to the strength of anticipatory value signaling in vmPFC in younger and older participants. We found that in a sample of 22 old and 23 young participants, fractional anisotropy in the pathway between NAcc and vmPFC predicted the strength of value signaling in vmPFC independently from D1 receptor availability in NAcc. These findings provide tentative evidence that integrity in the dopaminergic and white matter pathways of corticostriatal circuitry supports the expression of value signaling in vmPFC which supports reward learning, however, the limited sample size calls for independent replication. These and future findings could add to the improved understanding of how corticostriatal integrity contributes to reward learning ability.


2019 ◽  
Vol 14 (5) ◽  
pp. 1555-1565 ◽  
Author(s):  
Sara B. W. Troutman ◽  
Michele T. Diaz

Abstract Older adults have more language production difficulties than younger adults but display largely comparable language comprehension abilities. The Transmission Deficit Hypothesis suggests that production difficulties stem from an age-related increase in phonological signal transmission failures, while the semantic system, being more redundant than the phonological system, allows comprehension to be relatively preserved despite signal failures. Though the neural instantiation of the Transmission Deficit Hypothesis remains an open question, white matter represents one important factor to investigate. Metrics indicative of white matter connectivity across the brain, namely, Radial Diffusivity (RD) and Fractional Anisotropy (FA) have also been linked to age-related cognitive differences including naming difficulties. Using a Picture-Word Interference (PWI) task with 18 younger and 19 older healthy adults, we found that, across ages, better picture naming in the presence of phonological distractors was associated with lower RD across dorsal (r = −.35, p = .03), ventral (r = −.34, p = .04), and fronto-striatal (r = −.33, p = .04) tracts, and higher FA along dorsal tracts (r = .43, p = .008). The pattern of lower RD and higher FA, which is thought to reflect better white matter structure, points to the dorsal stream tracts as critical for performance on the PWI task. Moreover, the effects of RD and FA on performance were attenuated by the effect of age, reflecting the shared variance between age and white matter as it relates to language production ability.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Xuanzi He ◽  
Bang-Bon Koo ◽  
Ronald J. Killiany

Recent research had shown a correlation between aging and decreasing Gamma-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the brain. However, how GABA level varies with age in the medial portion of the brain has not yet been studied. The purpose of this study was to investigate the GABA level variation with age focusing on the posterior cingulate cortex, which is the “core hub” of the default mode network. In this study, 14 monkeys between 4 and 21 years were recruited, and MEGA-PRESS MRS was performed to measure GABA levels, in order to explore a potential link between aging and GABA. Our results showed that a correlation between age and GABA+/Creatine ratio was at the edge of significance (r=-0.523,p=0.081). There was also a near-significant trend between gray matter/white matter ratio and the GABA+/Creatine ratio (r=-0.518,p=0.0848). Meanwhile, the correlation between age and grey matter showed no significance (r=-0.028,p=0.93). Therefore, age and gray matter/white matter ratio account for different part ofR-squared (adjustedR-squared = 0.5187) as independent variables for predicting GABA levels. AdjustedR-squared is about 0.5 for two independent variables. These findings suggest that there is internal neurochemical variation of GABA levels in the nonhuman primates associated with normal aging and structural brain decline.


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