Age-related effects in interlimb practice on coding complex movement sequences

Panzer, Stefan; Gruetzmacher, Nicole; Fries, Udo; Krueger, Melanie; Shea, Charles H.

doi:10.1016/j.humov.2010.11.003

Cited by 23 publications

(36 citation statements)

References 58 publications

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“…Our findings confirm previous observations of preserved inter-manual transfer in older subjects (Hinder, Carroll, & Summers, 2013;Langan & Seidler, 2011;Lazarus & Haynes, 1997;Pan & Van Gemmert, 2013;Panzer, Gruetzmacher, Fries, Krueger, & Shea, 2011;Seidler, 2007;Wang, Przybyla, Wuebbenhorst, Haaland, & Sainburg, 2011). However, there have been some contradictory findings in the elderly.…”

Section: Discussionsupporting

confidence: 90%

Greater Intermanual Transfer in the Elderly Suggests Age-Related Bilateral Motor Cortex Activation Is Compensatory

Graziadio

Nazarpour

Gretenkord

et al. 2015

Journal of Motor Behavior

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ABSTRACT. Hemispheric lateralization of movement control diminishes with age; whether this is compensatory or maladaptive is debated. The authors hypothesized that if compensatory, bilateral activation would lead to greater intermanual transfer in older subjects learning tasks that activate the cortex unilaterally in young adults. They studied 10 young and 14 older subjects, learning a unimanual visuomotor task comprising a feedforward phase, where there is unilateral cortical activation in young adults, and a feedback phase, which activates the cortex bilaterally in both age groups. Increased intermanual transfer was demonstrated in older subjects during feedforward learning, with no difference between groups during feedback learning. This finding is consistent with bilateral cortical activation being compensatory to maintain performance despite declining computational efficiency in neural networks.

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Section: Discussionsupporting

confidence: 90%

Greater Intermanual Transfer in the Elderly Suggests Age-Related Bilateral Motor Cortex Activation Is Compensatory

Graziadio

Nazarpour

Gretenkord

et al. 2015

Journal of Motor Behavior

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“…The multitude of processing strategies accounted for by C-SMB is consistent with the many indications that movement representations may be coded in very different ways, such as verbal, egocentric spatial, allocentric spatial, goal postures of effectors, and joint angles (Andresen & Marsolek, 2012;Bapi, Doya, & Harner, 2000;Berniker, Franklin, Flanagan, Wolpert, & Kording, 2013;De Kleine & Verwey, 2009;Hikosaka et al, 1999;Panzer, Gruetzmacher, Fries, Krueger, & Shea, 2011;Shea et al, 2011;Verwey & Abrahamse, 2012;Verwey et al, 2010). Indeed, recent sequencing studies with the flexionextension task (Kovacs, Muhlbauer, & Shea, 2009;Panzer et al, 2011), the serial RT task (Goschke & Bolte, 2012;Tubau et al, 2007), and with the discrete sequence production task (Verwey & Abrahamse, 2012;Verwey & Wright, 2014), all indicate that with practice several of these movement sequence representations develop concurrently (Berniker et al, 2013).…”

Section: Coding Movement Sequencessupporting

confidence: 72%

“…Indeed, recent sequencing studies with the flexionextension task (Kovacs, Muhlbauer, & Shea, 2009;Panzer et al, 2011), the serial RT task (Goschke & Bolte, 2012;Tubau et al, 2007), and with the discrete sequence production task (Verwey & Abrahamse, 2012;Verwey & Wright, 2014), all indicate that with practice several of these movement sequence representations develop concurrently (Berniker et al, 2013).…”

Section: Coding Movement Sequencesmentioning

confidence: 99%

A cognitive framework for explaining serial processing and sequence execution strategies

2014

Self Cite

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Behavioral research has produced many taskspecific cognitive models that do not say much about the underlying information-processing architecture. Such an architecture is badly needed to better understand how cognitive neuroscience can benefit from existing cognitive models. This problem is especially pertinent in the domain of sequential behavior where behavioral research suggests a diversity of cognitive processes, processing modes and representations. Inspired by decades of reaction time (RT) research with the Additive Factors Method, the Psychological Refractory Period paradigm, and the Discrete Sequence Production task, we propose the Cognitive framework for Sequential Motor Behavior (C-SMB). We argue that C-SMB accounts for cognitive models developed for a range of sequential motor tasks (like those proposed by Keele et al., Psychological Review, 110(2), 316-339, 2003; Rosenbaum et al., Journal of Experimental Psychology: Human Perception and Performance, 9(1), 86-102, 1983, Journal of Memory and Language, 25, 710-725, 1986, Psychological Review, 102, 28-67, 1995 Schmidt, Psychological Review, 82(4), 225-260, 1975;Sternberg et al., 1978, Phonetica, 45, 177-197, 1988. C-SMB postulates that sequence execution can be controlled by a central processor using central-symbolic representations, and also by a motor processor using sequencespecific motor representations. On the basis of this framework, we present a classification of the sequence execution strategies that helps researchers to better understand the cognitive and neural underpinnings of serial movement behavior.

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“…The movements performed in most studies on chunking consisted of keyboard presses. However, reduced chunking abilities in older adults have also been shown in a task with forearm flexion-extension movements (Panzer, Gruetzmacher, Fries, Krueger, & Shea, 2011;Shea, Park, Wilde, & Braden, 2006). Clearly, previous research has provided important insights into age-related differences in chunking but since all these studies used a relatively limited amount of practice, an important question remains: Are older adults unable to develop chunking strategies or do they simply need more practice to develop them?…”

Section: Introductionmentioning

confidence: 99%

Differences in chunking behavior between young and older adults diminish with extended practice

Barnhoorn

Asseldonk

Verwey

2017

Psychological Research

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Previous research found reduced motor chunking behavior in older adults compared to young adults. However, it remains unclear whether older adults are unable to use a chunking strategy or whether they are just slower in developing them. Our goal was to investigate the effect of extended practice on the development of chunking behavior in healthy older adults. A group of young and a group of healthy older adults between 74 and 85 years of age visited the lab on 2 days. A sequence of 3 and a sequence of 6 elements were both practiced 432 times in a discrete sequence production task. We found that age differences in chunking behavior, as measured by the difference between initiation and execution of the sequence, diminish with extended practice. Furthermore, in older, but not in young adults, slow responses that are often interpreted as the first response of a next motor chunk were associated with a finger that was also slow during performance of the random sequences. This finding calls for more attention to biomechanical factors in future theory about aging and sequence learning.

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Age-related effects in interlimb practice on coding complex movement sequences

Cited by 23 publications

References 58 publications

Greater Intermanual Transfer in the Elderly Suggests Age-Related Bilateral Motor Cortex Activation Is Compensatory

Greater Intermanual Transfer in the Elderly Suggests Age-Related Bilateral Motor Cortex Activation Is Compensatory

A cognitive framework for explaining serial processing and sequence execution strategies

Differences in chunking behavior between young and older adults diminish with extended practice

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