How aging affects visuomotor adaptation and retention in a precision walking paradigm

Bakkum, Amanda; Gunn, Shaila M.; Marigold, Daniel S.

doi:10.1038/s41598-020-80916-8

Cited by 6 publications

(3 citation statements)

References 66 publications

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“…In addition, numerous studies have found that older adults show poorer adaptability in comparison to younger adults in both manual adaptation paradigms with visual perturbation (e.g., Anguera et al, 2011;Bock, 2005;Fernandez-Ruiz et al, 2000;Seidler, 2006Seidler, , 2007Wolpe et al, 2020) and mechanical perturbation (e.g., Huang & Ahmed, 2014). In contrast, other studies using locomotor adaptation paradigms did not observe differences in adaptation rates between younger and older adults (e.g., Bakkum et al, 2021;Malone & Bastian, 2016;Vervoort et al, 2019; but see Fettrow et al, 2021). Taken together, prior findings hint at an inverted-u relationship between age and sensorimotor adaptability across the lifespan with performance peaking in young adulthood.…”

Section: Introductionmentioning

confidence: 95%

Developmental and age differences in visuomotor adaptation across the lifespan

Ruitenberg

Koppelmans

Seidler

et al. 2023

Psychological Research

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In the present cross-sectional study, we examined age and sex differences in sensorimotor adaptation. We tested 253 individuals at a local science museum (NEMO Science Museum, Amsterdam). Participants spanned a wide age range (8–70 years old; 54% male), allowing us to examine effects of both development and healthy aging within a single study. Participants performed a visuomotor adaptation task in which they had to adapt manual joystick movements to rotated visual feedback. We assessed the rate of adaptation following the introduction of the visual perturbation (both for early and later stages of adaptation), and the rate of de-adaptation following its removal. Results showed reliable adaptation patterns which did not differ by sex. We observed a quadratic relationship between age and both early adaptation and de-adaptation rates, with younger and older adults exhibiting the fasted adaptation rates. Our findings suggest that both younger and older age are associated with poorer strategic, cognitive processes involved in adaptation. We propose that developmental and age differences in cognitive functions and brain properties may underlie these effects on sensorimotor functioning.

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Section: Introductionmentioning

confidence: 95%

Developmental and age differences in visuomotor adaptation across the lifespan

Ruitenberg

Koppelmans

Seidler

et al. 2023

Psychological Research

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“…2) (Nemanich and Earhart 2015). Age-related difference in locomotor adaptation seems to be minimized with a smaller visuomotor distortion, with 20-diopter prism goggles (Bakkum and others 2021). However, even with smaller distortion, older adults demonstrate greater error during early adaptation compared with young adults (Bakkum and others 2021), together suggesting that older adults have impaired sensory realignment that is required to adapt to inaccurate visual feedback (Block and Bastian 2011).…”

Section: Visuomotor Locomotor Adaptation: Young Versus Older Adultsmentioning

confidence: 99%

Neural Control of Human Locomotor Adaptation: Lessons about Changes with Aging

Sato

Choi

2021

Neuroscientist

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Walking patterns are adaptable in response to different environmental demands, which requires neural input from spinal and supraspinal structures. With an increase in age, there are changes in walking adaptation and in the neural control of locomotion, but the age-related changes in the neural control of locomotor adaptation is unclear. The purpose of this narrative review is to establish a framework where the age-related changes of neural control of human locomotor adaptation can be understood in terms of reactive feedback and predictive feedforward control driven by sensory feedback during locomotion. We parse out the effects of aging on (a) reactive adaptation to split-belt walking, (b) predictive adaptation to split-belt walking, (c) reactive visuomotor adaptation, and (d) predictive visuomotor adaptation, and hypothesize that specific neural circuits are influenced differentially with age, which influence locomotor adaptation. The differences observed in the age-related changes in walking adaptation across different locomotor adaptation paradigms will be discussed in light of the age-related changes in the neural mechanisms underlying locomotion.

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“…Older adults show lower levels of total motor adaptation than young adults (Aucie et al 2021; Bakkum et al 2021; Bock 2005; Cressman et al 2010; Hegele and Heuer 2010; Malone and Bastian 2015; Sombric and Torres-Oviedo 2021)(Buch et al 2003; Heuer and Hegele 2008; Li et al 2021; Seidler 2006, 2007; Vandevoorde and Orban de Xivry 2019). Recent evidence suggests that this impairment in motor adaptation is specific to the explicit component of adaptation (Bock and Girgenrath 2006; Hegele and Heuer 2010, 2013; Heuer and Hegele 2008; Li et al 2021; Vandevoorde and Orban de Xivry 2019, 2020; Wolpe et al 2020) and that the implicit component of motor adaptation elicited by a visuomotor adaptation and its short-term retention remains unimpaired up to 60-70 years old (Huang et al 2017; Reuter et al 2020; Tsay et al 2023; Vachon et al 2020; Vandevoorde and Orban de Xivry 2019).…”

Section: Introductionmentioning

confidence: 99%

Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention.

Hermans,

Vandevoorde,

Orban de Xivry

2023

Preprint

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In motor adaptation, learning is thought to rely on a combination of several processes. Two of these are implicit learning (incidental updating of the sensory prediction error) and explicit learning (intentional adjustment to reduce target error). The explicit component is thought to be fast adapting, while the implicit one is slow. The dynamic integration of these components can lead to an adaptation rebound, called spontaneous recovery: the trace of a first, longer learned adaptation reappears after it is extinguished by a shorter period of de-adaptation. The slow implicit process is still decaying from the first adaptation, resulting in the before mentioned adaptation rebound. Trewartha et al. (2014) found that older adults show less spontaneous recovery than their younger controls, indicating impairments in implicit learning. This is in disagreement with evidence suggesting that the implicit component and its retention does not decline with aging. To clarify this discrepancy, we performed a conceptual replication of that result. Twenty-eight healthy young and 20 healthy older adults learned to adapt to a forcefield perturbation in a paradigm known to elicit spontaneous recovery. Both groups adapted equally well to the perturbation. Implicit adaptation of the older subjects was indistinguishable from their younger counterparts. In addition, we failed to replicate the result of Trewartha et al. (2014) and found that the spontaneous recovery was also similar across groups. Our results reconcile previous studies by showing that both spontaneous recovery and implicit adaptation are unaffected by aging.

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How aging affects visuomotor adaptation and retention in a precision walking paradigm

Cited by 6 publications

References 66 publications

Developmental and age differences in visuomotor adaptation across the lifespan

Developmental and age differences in visuomotor adaptation across the lifespan

Neural Control of Human Locomotor Adaptation: Lessons about Changes with Aging

Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention.

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