Damon G Lamb1, Lauren N Correa2, Talia R Seider3, Diana M Mosquera4, Julio A Rodriguez5, Liliana Salazar6, Zared J Schwartz7, Ronald A Cohen8, Adam D Falchook9, Kenneth M Heilman10. 1. Malcom Randall Veterans Affairs Medical Center, Gainesville, FL, USA; Department of Neurology, University of Florida, Gainesville, FL, USA; Center for Neuropsychological Studies, College of Medicine, University of Florida, Gainesville, FL, USA; Cognitive Aging and Memory Center, Institute on Aging, University of Florida, Gainesville, FL, USA. 2. Department of Neurology, University of Florida, Gainesville, FL, USA; Center for Neuropsychological Studies, College of Medicine, University of Florida, Gainesville, FL, USA. 3. Cognitive Aging and Memory Center, Institute on Aging, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA. 4. Department of Neurology, University of Florida, Gainesville, FL, USA; Florida State University College of Medicine, Tallahassee, FL, USA. 5. Department of Neurology, University of Florida, Gainesville, FL, USA; Ponce School of Medicine and Health Sciences, Ponce, Puerto Rico. 6. Malcom Randall Veterans Affairs Medical Center, Gainesville, FL, USA; Department of Neurology, University of Florida, Gainesville, FL, USA. 7. Center for Neuropsychological Studies, College of Medicine, University of Florida, Gainesville, FL, USA. 8. Cognitive Aging and Memory Center, Institute on Aging, University of Florida, Gainesville, FL, USA. 9. Malcom Randall Veterans Affairs Medical Center, Gainesville, FL, USA; Department of Neurology, University of Florida, Gainesville, FL, USA; Cognitive Aging and Memory Center, Institute on Aging, University of Florida, Gainesville, FL, USA. 10. Malcom Randall Veterans Affairs Medical Center, Gainesville, FL, USA; Department of Neurology, University of Florida, Gainesville, FL, USA; Center for Neuropsychological Studies, College of Medicine, University of Florida, Gainesville, FL, USA; Cognitive Aging and Memory Center, Institute on Aging, University of Florida, Gainesville, FL, USA. Electronic address: heilman@neurology.ufl.edu.
Abstract
BACKGROUND/ OBJECTIVES: With aging, people commonly develop motor slowing (bradykinesia). Although this slowness with aging may be entirely related to degradation of the cerebral networks important in motor programing, it is possible that, at least in part, it may be a learned procedure for enhancing the accuracy and/or precision of movements. The goal of this study is to test these contradictory hypotheses. METHODS: Twenty-four healthy adults, 12 younger than age 26 and 12 older than age 65 were asked to make alternative marks with a pen between a card centered in front of them and a series of circles distributed across a page. Performance was timed, and participants were instructed to complete the task as quickly as possible while not sacrificing accuracy for speed. The circle sizes and hand used varied by trial. RESULTS: The older adults performed the task more slowly for all target circle diameters. As the circles decreased in size, the younger adults performed the task more rapidly than did the older participants, but the younger participants also had a greater decline in accuracy. CONCLUSIONS: During this aiming task, healthy older adults were less likely than younger adults to sacrifice accuracy for speed. Thus, at least in part, their slowing may be a learned adaptive strategy.
BACKGROUND/ OBJECTIVES: With aging, people commonly develop motor slowing (bradykinesia). Although this slowness with aging may be entirely related to degradation of the cerebral networks important in motor programing, it is possible that, at least in part, it may be a learned procedure for enhancing the accuracy and/or precision of movements. The goal of this study is to test these contradictory hypotheses. METHODS: Twenty-four healthy adults, 12 younger than age 26 and 12 older than age 65 were asked to make alternative marks with a pen between a card centered in front of them and a series of circles distributed across a page. Performance was timed, and participants were instructed to complete the task as quickly as possible while not sacrificing accuracy for speed. The circle sizes and hand used varied by trial. RESULTS: The older adults performed the task more slowly for all target circle diameters. As the circles decreased in size, the younger adults performed the task more rapidly than did the older participants, but the younger participants also had a greater decline in accuracy. CONCLUSIONS: During this aiming task, healthy older adults were less likely than younger adults to sacrifice accuracy for speed. Thus, at least in part, their slowing may be a learned adaptive strategy.
Authors: Ariel Furstenberg; Callum D Dewar; Haim Sompolinsky; Robert T Knight; Leon Y Deouell Journal: Front Hum Neurosci Date: 2019-07-31 Impact factor: 3.169
Authors: Josje M Bootsma; Simone R Caljouw; Menno P Veldman; Natasha M Maurits; John C Rothwell; Tibor Hortobágyi Journal: Front Aging Neurosci Date: 2021-03-22 Impact factor: 5.750