Effects of bandwidth feedback on the automatization of an arm movement sequence

Agethen, Manfred; Krause, Daniel

doi:10.1016/j.humov.2015.11.005

Cited by 29 publications

(15 citation statements)

References 39 publications

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“…The current findings with respect to the FRN contribute to recent behavioral data and respective theoretical explanations on the effects of feedback valence in motor learning research (Agethen & Krause, ; Krause et al, ). It was assumed that the hindering effect of negative feedback on motor automatization might result from a modulation of dopaminergic midbrain neurons.…”

Section: Discussionsupporting

confidence: 77%

“…According to the error‐provoked attentional control hypothesis (EPAC hypothesis; Krause, Agethen, & Zobe, ) the valence of feedback is essential with respect to its effect. Feedback with negative valence is assumed to provoke attentional control processes for short‐term behavioral adaptations but limit long‐term motor learning and automaticity (Agethen & Krause, ; Krause et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Neither does specific evidence exist for the role of FRN and P300 in motor learning with regard to their development over practice and their prediction function regarding behavioral adjustments. Knowledge about these effects is valuable to shed light on the role of feedback valence in motor learning, especially with respect to motor automatization processes and the EPAC hypothesis (Agethen & Krause, ; Krause et al, ). There are studies investigating error‐related EEG signals in complex motor tasks and evidence found for a valence effect in the FRN (Grand et al, ; Joch, Hegele, Maurer, Müller, & Maurer, , ; Krigolson & Holroyd, ; Maurer, Maurer, & Müller, ; Vocat, Pourtois, & Vuilleumier, ).…”

Section: Introductionmentioning

confidence: 99%

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Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence

2019

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ERPs in the EEG were scrutinized in learning a complex arm movement sequence with the aim to examine valence effects on processing augmented feedback during practice. Twenty‐four healthy subjects practiced one session with 192 feedback trials according to an adaptive bandwidth feedback approach with a high informational level of feedback information (i.e., amplitude and direction of errors). The bandwidth for successful performance (increase of a score for a monetary competition) was manipulated to yield a success rate (positive feedback frequency) of approximately 50% adaptive to the current performance level. This allowed a variation of feedback valence unconfounded by success rate. In line with our hypotheses, the EEG data showed a valence‐dependent feedback‐related negativity (FRN) and a later fronto‐central component at the FCz electrode as well as a P300 component at the Pz electrode. Moreover, the P300 and amplitudes in the FRN time window reduced in the second half of practice but were still dependent on feedback valence. Behavioral adjustments were larger after feedback with negative valence and were predicted by the late fronto‐central component. The data support the assumption of feedback valence‐dependent modulation of attentional cognitive involvement in motor control and learning.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence

2019

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“…Laborexperimentelle Befunde zum Erlernen einer Armbewegungssequenz konnten zeigen, dass eine Reduktion der Häufigkeit von quantitativen Fehlerrückmeldungen die Reduktion von Doppeltätigkeitskosten, als Indikator für Automatisierung, positiv beeinflusst [19]. Darüber hinaus konnte gezeigt werden, dass der Einsatz eines Bandbreitenfeedbacks, bei dem bei kleineren Abweichungen vom Bewegungsziel ein positives Feedback gegeben wird und nur bei Abweichungen außerhalb der definierten Zielbandbreite ein quantitatives Fehlerfeedback gegeben wird, zu einer stärkeren Reduktion der Doppeltätigkeitskosten führt als ein Feedbacktraining ohne Bandbreite [24]. Frühere Befunde zeigten zudem für die Bandbreitenfeedbackmethode eine höhere Konstanz der Bewegungsausführung [25] und in einigen Fällen auch eine präzisere Ausführung in Retentionstests [26].…”

Section: Problemstellungunclassified

Zur Gestaltung von Feedbackprozeduren zum Erlernen der postoperativen Teilbelastung beim Gehen mit Unterarmgehstützen im Kontext der Bewegungsautomatisierung

Krause

Paschen

Vogt

2019

B & G

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ZusammenfassungTraining mit ergänzendem verzögertem Feedback zeigt sich zum Erlernen einer postoperativen Teilbelastung beim Gehen an Unterarmgehstützen effektiv. Insbesondere die Verwendung von Bandbreitenfeedback hat sich bei anderen Bewegungsaufgaben im Hinblick auf die Ausführungspräzision, -konstanz und -automatizität als vorteilhaft erwiesen. In einer Studie mit 31 jungen gesunden Erwachsenen untersuchten wir diese Parameter im Rahmen eines Feedbacktrainings während einer Teilbelastungsaufgabe und verglichen dabei eine Bandbreitenmethode mit einem 100 %-Feedback und einer Kontrollbedingung.Die in anderen Studien aufgezeigten Vorteile des Bandbreitenfeedbacks konnten in diesem Kontext für keinen der 3 Zielparameter gezeigt werden. Darüber hinaus ergeben sich aus den Daten 2 wichtige Hinweise für die rehabilitative Praxis: Zum einen konnten mit nur wenigen feedbackgestützten Übungsversuchen deutliche und zudem relativ behaltensstabile Reduktionen der Teilbelastung erreicht werden, zum anderen zeigte sich, dass das Teilbelastungsgehen einen hohen kognitiven Aufwand erfordert, der sich auch nach 2 umfangreichen Übungssitzungen nicht verringert und dazu führt, dass die Einhaltung der Teilbelastung bei Aufmerksamkeitsablenkung im Alltag beeinträchtigt sein könnte.

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“…Knowledge of Results (KR) has received much attention in the last decades KR and is a type of feedback that informs about the movement outcome in terms of environmental goal (Winstein & Schmidt, 1990).During the process of motor skill learning, KR diminishesdiscrepancies between planned and performed action because theKR serves as a reference to errors corrections in subsequent trials leading to improvements in performance throughout practice (Schmidt, 1991). The importance conceived to KR is remarkably noted throughout a lot of studies in Motor Learning (Agethen & Krause, 2016;Miguel-Junqueira et al, 2015;Ugrinowitsch, Coca-Ugrinowitsch, Benda, & Tertuliano, 2010).One of the first studies about KR adopted the assumption that higher frequencies of KR should result in better effects on learning (Bilodeau & Bilodeau, 1958). However, this study did not count with learning tests and it makes impossible to distinguish transient effects of performance from the relatively permanent ones of learning (Salmoni, Schmidt, & Walter, 1984).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2019

JPES

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Feedback can have a detrimental effect on motor learning if it is provided too frequently. Based on this,a previous study adopted an assumption that augmented feedback related only about critical elements of skills will avoid its adverse effects and could improve motor learning. The present study aimed to test this assumption. The task consisted of performing a sequence of touches in keypad with absolute and relative time goals. The experiment was divided into acquisition phase and retention test. During acquisition, knowledge of resultsabout all components was provided to a groupwhile another group received this information only for the component whose error was higher than 15% of the goal. The results showed that there was no significant difference between groups in performance measures. Maybe the presentation of quantitative and qualitative information at the same trial caused an overloadin processing information. The possibility that it acts in the same way as the negative guidance properties of feedback was discussed.

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Effects of bandwidth feedback on the automatization of an arm movement sequence

Cited by 29 publications

References 39 publications

Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence

Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence

Zur Gestaltung von Feedbackprozeduren zum Erlernen der postoperativen Teilbelastung beim Gehen mit Unterarmgehstützen im Kontext der Bewegungsautomatisierung

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