title: Catch trials in force field learning influence adaptation and consolidation of human motor memory.
abstract: Force field studies are a common tool to investigate motor adaptation and consolidation. Thereby, subjects usually adapt their reaching movements to force field perturbations induced by a robotic device. In this context, so-called catch trials, in which the disturbing forces are randomly turned off, are commonly used to detect after-effects of motor adaptation. However, catch trials also produce sudden large motor errors that might influence the motor adaptation and the consolidation process. Yet, the detailed influence of catch trials is far from clear. Thus, the aim of this study was to investigate the influence of catch trials on motor adaptation and consolidation in force field experiments. Therefore, 105 subjects adapted their reaching movements to robot-generated force fields. The test groups adapted their reaching movements to a force field A followed by learning a second interfering force field B before retest of A (ABA). The control groups were not exposed to force field B (AA). To examine the influence of diverse catch trial ratios, subjects received catch trials during force field adaptation with a probability of either 0, 10, 20, 30, or 40%, depending on the group. First, the results on motor adaptation revealed significant differences between the diverse catch trial ratio groups. With increasing amount of catch trials, the subjects' motor performance decreased and subjects' ability to accurately predict the force field-and therefore internal model formation-was impaired. Second, our results revealed that adapting with catch trials can influence the following consolidation process as indicated by a partial reduction to interference. Here, the optimal catch trial ratio was 30%. However, detection of consolidation seems to be biased by the applied measure of performance.
authors.affiliation: YIG "Computational Motor Control and Learning", BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology Karlsruhe, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Stockinger
authors.affiliation: YIG "Computational Motor Control and Learning", BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology Karlsruhe, Germany.
authors.forename: Anne
authors.initials: A
authors.lastname: Focke
authors.affiliation: YIG "Computational Motor Control and Learning", BioMotion Center, Institute of Sports and Sports Science, Karlsruhe Institute of Technology Karlsruhe, Germany.
authors.forename: Thorsten
authors.initials: T
authors.lastname: Stein
keywords: control strategy; dynamic perturbation; interference; intermittent practice; internal model formation; reaching movements; robotic manipulandum; variability