4.6 Article

Interactions between the aging brain and motor task complexity across the lifespan: balancing brain activity resource demand and supply

Journal

CEREBRAL CORTEX
Volume 33, Issue 10, Pages 6420-6434

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhac514

Keywords

aging; brain activation; CRUNCH; sensori-motor control

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The study proposes the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH) to explain the brain activity changes in healthy aging and task complexity. The findings suggest that all adults show increased brain activation with task complexity, older adults have more brain activation compared to younger adults at low complexity levels, and older adults are able to increase neural resources as task demands increase. These results indicate that older adults exhibit compensatory brain activation and maintain the capacity to adapt to task demands.
The Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH) proposes a framework for understanding task-related brain activity changes as a function of healthy aging and task complexity. Specifically, it affords the following predictions: (i) all adult age groups display more brain activation with increases in task complexity, (ii) older adults show more brain activation compared with younger adults at low task complexity levels, and (iii) disproportionately increase brain activation with increased task complexity, but (iv) show smaller (or no) increases in brain activation at the highest complexity levels. To test these hypotheses, performance on a bimanual tracking task at 4 complexity levels and associated brain activation were assessed in 3 age groups (20-40, 40-60, and 60-80 years, n = 99). All age groups showed decreased tracking accuracy and increased brain activation with increased task complexity, with larger performance decrements and activation increases in the older age groups. Older adults exhibited increased brain activation at a lower complexity level, but not the predicted failure to further increase brain activity at the highest complexity level. We conclude that older adults show more brain activation than younger adults and preserve the capacity to deploy increased neural resources as a function of task demand.

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