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Assessing age-related changes in brain activity during isometric upper and lower limb force control tasks.

Abigail E Bower1, Jae Woo Chung2, Roxana G Burciu3

  • 1Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, USA.

Brain Structure & Function
|December 17, 2024
PubMed
Summary

Older adults (OA) use more brain regions for movement control than young adults (YA), potentially compensating for age-related changes. This study explored neural differences in upper and lower limb tasks.

Keywords:
AgingForceLower limbUpper limbfMRI

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Area of Science:

  • Neuroscience
  • Motor Control
  • Aging Research

Background:

  • Aging effects on neural control of upper and lower limbs are not fully understood.
  • Functional MRI studies often focus on hand movements, neglecting lower limb complexities.
  • Older adults (OA) are frequently used as controls, but their distinct neural patterns require investigation.

Purpose of the Study:

  • To investigate age-related differences in the neural control of both upper and lower limb movements.
  • To compare brain activation patterns during motor tasks between healthy young adults (YA) and OA.
  • To understand if OA recruit additional neural resources to maintain motor performance.

Main Methods:

  • Functional MRI was used to examine brain activity in 16 YA and 20 OA.
  • Participants performed pinch grip (upper limb) and ankle dorsiflexion (lower limb) tasks at 15% maximum voluntary contraction.
  • Force control dynamics, variability, and accuracy were assessed alongside neural activation.

Main Results:

  • Both YA and OA achieved similar force targets with comparable variability and accuracy.
  • OA showed altered force control dynamics: slower force increase (hand) and faster decrease (foot).
  • OA exhibited more widespread brain activation, including premotor, visuo-motor, and cerebellar regions, compared to YA.

Conclusions:

  • Older adults may recruit additional brain areas, particularly cerebellar regions, to achieve motor task performance similar to younger adults.
  • These findings suggest a compensatory neural strategy in aging.
  • Further longitudinal studies are needed to track changes in motor performance and brain activation over time.