Effect of Practice Structure and Feedback Frequency on Voice Motor Learning in Older Adults

OBJECTIVES

The long-term goal of this research is to advance the rehabilitation of voice disorders through the study and development of efficacious treatment regimes based upon motor learning principles. This study examined the effect of contextual interference (CI) of practice structure with knowledge of results (KR) feedback on motor learning of a novel voice task, "Twang," by hypophonic, novice, and expert older adults.

STUDY DESIGN

Prospective, randomized controlled mixed design.

METHODS

A total of 92 adults, age 55-80, recruited from the following motor skill levels: 1) Hypophonic voice; 2) Novice-untrained vocalists; 3) Expert-trained vocalists were randomly assigned to four different interventions and examined during acquisition, retention, and transfer phases of motor learning. Participants from each skill-level practiced the novel task, "Twang," according to the randomly assigned Practice Structure/KR combinations: 1) Blocked practice/100%KR; 2) Blocked practice/55% KR; 3) Random practice/100%KR; 4) Random practice/55% KR.

RESULTS

During the motor performance phase, our results mirrored those reported in the limb motor learning literature for CI: A Blocked practice structure enhanced short-term effects of motor acquisition for novice, expert, and hypophonic subjects. The only significant result for KR occurred when paired with Random Practice in the hypophonic subject group: 100% KR paired with Blocked practice increased motor performance, but degraded motor learning.

CONCLUSIONS

Fundamental motor learning principles were explored within the context of a voice training paradigm. Practice with a high CI and low frequency of KR degraded performance during short-term acquisition but enhanced long-term performance effects of motor learning. Voice clinicians and teachers may benefit by implementing motor learning theory into practice during training and treatment sessions.

Effect of Self-Controlled and Regulated Feedback on Motor Skill Performance and Learning: A Meta-Analytic Study

The purpose of this study was to use the meta-analytic approach to assess the effectiveness of self-controlled (SC) and regulated (R) feedback on motor skill performance (MSP). Random effects model using the standardized mean difference effect size (ES) was used to pool results. A total of 86 ES, retrieved from 18 studies, were calculated and separated into three types of feedback: SC, R, and yoked group (YG). In acquisition phase, SC (ES = 1.872; CI_95% = 1.014, 2.730), R (ES = 0.852; CI_95% = 0.614, 1.090), and YG (ES = 1.492; CI_95% = 0.266, 2.718) significantly improved MSP. In retention phase, SC and YG had a nonsignificant decrease in MSP, R (ES = -0.819; CI_95% = -1.207, -0.430) significantly decrease MSP. Several factors were analyzed as moderator variables. Results suggest that SC feedback enhances learning.

The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation

This paper proposes a free dataset, available at the following link,¹named KIMORE, regarding different rehabilitation exercises collected by a RGB-D sensor. Three data inputs including RGB, depth videos, and skeleton joint positions were recorded during five physical exercises, specific for low back pain and accurately selected by physicians. For each exercise, the dataset also provides a set of features, specifically defined by the physicians, and relevant to describe its scope. These features, validated with respect to a stereophotogrammetric system, can be analyzed to compute a score for the subject's performance. The dataset also contains an evaluation of the same performance provided by the clinicians, through a clinical questionnaire. The impact of KIMORE has been analyzed by comparing the output obtained by an example of rule and template-based approaches and the clinical score. The dataset presented is intended to be used as a benchmark for human movement assessment in a rehabilitation scenario in order to test the effectiveness and the reliability of different computational approaches. Unlike other existing datasets, the KIMORE merges a large heterogeneous population of 78 subjects, divided into 2 groups with 44 healthy subjects and 34 with motor dysfunctions. It provides the most clinically-relevant features and the clinical score for each exercise.¹https://univpm-my.sharepoint.com/:f:/g/personal/p008099_staff_univpm_it/EiwbKIzk6N9NoJQx4J8aubIBx0o7tIa1XwclWp1NmRkA-w?e=F3jtBk.