Dual-task paradigms are procedures for investigating interference with two tasks performed simultaneously. Studies that previously addressed dual-task paradigms within a visuomotor reaching task yielded mixed results. While some of the studies found evidence of cognitive interference, called dual-task costs, other studies did not. We assume that dual-task costs only manifest themselves within the explicit component of adaptation, as it involves cognitive resources for processing. We suspect the divergent findings to be due to the lack of differentiation between the explicit and implicit component. In this study, we aimed to investigate how a cognitive secondary task affects visuomotor adaptation overall and its different components, both during and after adaptation. In a series of posttests, we examined the explicit and implicit components separately. Eighty participants performed a center-outward reaching movement with a 30 degrees cursor perturbation. Participants were either assigned to a single task group (ST) or a dual-task group (DT) with an additional auditory 1-back task. To further enhance our predicted effect of dual-task interference on the explicit component, we added a visual feedback delay condition to both groups (ST/DTDEL). In the other condition, participants received visual feedback immediately after movement termination (ST/DTNoDEL). While there were clear dual-task costs during the practice phase, there were no dual-task effects on any of the posttest measures. On one hand, our findings suggest that dual-task costs in visuomotor adaptation tasks can occur with sufficient cognitive demand, and on the other hand, that cognitive constraints may affect motor performance but not necessarily motor adaptation.
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Shenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R China
Deng, Kanfeng
Chan, John S. Y.
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Shenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R China
Chan, John S. Y.
Yan, Jin H.
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Shenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Lab Neuromotor Control & Learning, Shenzhen 518060, Peoples R China
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Univ Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
Univ Maryland, Grad Program Neurosci & Cognit Sci, College Pk, MD 20742 USAUniv Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
Gentili, Rodolphe J.
Bradberry, Trent J.
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Univ Maryland, Fischell Dept Bioengn, College Pk, MD 20742 USAUniv Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
Bradberry, Trent J.
Oh, Hyuk
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Univ Maryland, Grad Program Neurosci & Cognit Sci, College Pk, MD 20742 USAUniv Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
Oh, Hyuk
Hatfield, Bradley D.
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Univ Maryland, Grad Program Neurosci & Cognit Sci, College Pk, MD 20742 USAUniv Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
Hatfield, Bradley D.
Vidal, Jose L. Contreras
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Univ Maryland, Grad Program Neurosci & Cognit Sci, College Pk, MD 20742 USA
Univ Maryland, Fischell Dept Bioengn, College Pk, MD 20742 USAUniv Maryland, Dept Kinesiol, Cognit Motor Neurosci Lab, Sch Publ Hlth, College Pk, MD 20742 USA
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Univ Southern Calif, Neurosci Grad Program, 2250 Alcazar St,CSC 133, Los Angeles, CA 90089 USAUniv Southern Calif, Neurosci Grad Program, 2250 Alcazar St,CSC 133, Los Angeles, CA 90089 USA