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A new measure for neural compensation is positively correlated with working memory and gait speed

Publication ,  Journal Article
Ji, L; Pearlson, GD; Hawkins, KA; Steffens, DC; Guo, H; Wang, L
Published in: Frontiers in Aging Neuroscience
March 19, 2018

Neuroimaging studies suggest that older adults may compensate for declines in brain function and cognition through reorganization of neural resources. A limitation of prior research is reliance on between-group comparisons of neural activation (e.g., younger vs. older), which cannot be used to assess compensatory ability quantitatively. It is also unclear about the relationship between compensatory ability with cognitive function or how other factors such as physical exercise modulates compensatory ability. Here, we proposed a data-driven method to semi-quantitatively measure neural compensation under a challenging cognitive task, and we then explored connections between neural compensation to cognitive engagement and cognitive reserve (CR). Functional and structural magnetic resonance imaging scans were acquired for 26 healthy older adults during a face-name memory task. Spatial independent component analysis (ICA) identified visual, attentional and left executive as core networks. Results show that the smaller the volumes of the gray matter (GM) structures within core networks, the more networks were needed to conduct the task (r = -0.408, p = 0.035). Therefore, the number of task-activated networks controlling for the GM volume within core networks was defined as a measure of neural compensatory ability. We found that compensatory ability correlated with working memory performance (r = 0.528, p = 0.035). Among subjects with good memory task performance, those with higher CR used fewer networks than subjects with lower CR. Among poor-performance subjects, those using more networks had higher CR. Our results indicated that using a high cognitive-demanding task to measure the number of activated neural networks could be a useful and sensitive measure of neural compensation in older adults.

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Published In

Frontiers in Aging Neuroscience

DOI

EISSN

1663-4365

Publication Date

March 19, 2018

Volume

10

Issue

MAR

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 1702 Cognitive Sciences
  • 1109 Neurosciences
  • 0601 Biochemistry and Cell Biology
 

Citation

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Ji, L., Pearlson, G. D., Hawkins, K. A., Steffens, D. C., Guo, H., & Wang, L. (2018). A new measure for neural compensation is positively correlated with working memory and gait speed. Frontiers in Aging Neuroscience, 10(MAR). https://doi.org/10.3389/fnagi.2018.00071
Ji, L., G. D. Pearlson, K. A. Hawkins, D. C. Steffens, H. Guo, and L. Wang. “A new measure for neural compensation is positively correlated with working memory and gait speed.” Frontiers in Aging Neuroscience 10, no. MAR (March 19, 2018). https://doi.org/10.3389/fnagi.2018.00071.
Ji L, Pearlson GD, Hawkins KA, Steffens DC, Guo H, Wang L. A new measure for neural compensation is positively correlated with working memory and gait speed. Frontiers in Aging Neuroscience. 2018 Mar 19;10(MAR).
Ji, L., et al. “A new measure for neural compensation is positively correlated with working memory and gait speed.” Frontiers in Aging Neuroscience, vol. 10, no. MAR, Mar. 2018. Scopus, doi:10.3389/fnagi.2018.00071.
Ji L, Pearlson GD, Hawkins KA, Steffens DC, Guo H, Wang L. A new measure for neural compensation is positively correlated with working memory and gait speed. Frontiers in Aging Neuroscience. 2018 Mar 19;10(MAR).

Published In

Frontiers in Aging Neuroscience

DOI

EISSN

1663-4365

Publication Date

March 19, 2018

Volume

10

Issue

MAR

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 1702 Cognitive Sciences
  • 1109 Neurosciences
  • 0601 Biochemistry and Cell Biology