Bridging Music Neuroscience Evidence to Music Therapy Best Practice in the Early Childhood Classroom: Implications for Using Rhythm to Increase Attention and Learning

Geist, Kamile; Geist, Eugene

doi:10.1093/mtp/30.2.141

Cited by 12 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…e author uses machine learning algorithms. First, we established a machine learning sample library through manual annotation and built an artificial neural network to classify the emotions represented by EEG music [20].…”

Section: Related Workmentioning

confidence: 99%

Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment

Zhao

2021

Complexity

View full text Add to dashboard Cite

In the treatment of children with autistic spectrum disorder (ASD) through music perception, the perception effect and the development of the disease are mainly reflected in the fluctuations of the electroencephalogram (EEG), which is clinically effective on the brain. There is an inaccuracy problem in electrogram judgment, and deep learning has great advantages in signal feature extraction and classification. Based on the theoretical basis of Deep Belief Network (DBN) in deep learning, this paper proposes a method that combines the optimized Restricted Boltzmann machine (RBM) feature extraction model with the softmax classification algorithm. Brain wave tracking analysis is performed on children with autism who have received different music perception treatments to improve classification accuracy and achieve the purpose of accurately judging the condition. Through continuous adjustment and optimization of the weight matrix in the model, a stable recognition model is obtained. The simulation results show that this optimization algorithm can effectively improve the recognition performance of DBN, with an accuracy of 94% in a certain environment, and has a better classification effect than other traditional classification methods.

show abstract

Section: Related Workmentioning

confidence: 99%

Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment

Zhao

2021

Complexity

View full text Add to dashboard Cite

show abstract

“…The emotional and motivational factors associated with music are often addressed when considering the influence of music on children’s cognitive function ( Thaut and Gardiner, 2014 ; Gfeller, 2008 ). Research findings indicate that these factors help children focus and facilitate learning ( Abikoff et al, 1996 ; Geist and Geist, 2008 , 2012 ; Xu et al, 2010 ). However, our results suggest that this outcome may be related to both motivational and engaging factors of music and the music components, since the control intervention employed in this study was also motivational for children and contained engaging factors.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Music Intervention on Attention in Children: Experimental Evidence

2020

View full text Add to dashboard Cite

Although music has been utilized as a therapeutic tool for children with cognitive impairments, how it improves children's cognitive function remains poorly understood. As a first step toward understanding music's effectiveness and as a means of assessing cognitive function improvement, we focused on attention, which plays an important role in cognitive development, and examined the effect of a music intervention on children's attention. Thirty-five children, aged 6 to 9 years, participated in this study, with data from 29 of the children being included in the analysis. A single 30-minute interactive music intervention was compared with a single 30-minute interactive video game intervention accompanied by computer-generated background music using a within-subjects repeated-measures design. Each intervention was implemented individually. Participants completed a standardized attention assessment, the Test of Everyday Attention for Children, before and after both interventions to assess changes in their attentional skills. The results indicated significant improvement in attention control/switching following the music intervention after controlling for the children's intellectual abilities, while no such changes were observed following the video game intervention. This study provides the first evidence that music interventions may be more effective than video game interventions to improve attention control in children, and furthers our understanding of the importance of music interventions for children with attention control problems.

show abstract

“…Pairing novel information to music has been shown to be an effective tool for enhancing recall of target information (Gfeller, 1983 ; Wolfe and Horn, 1993 ; Knott, 2017 ). Furthermore, the structure and predictability provided by the rhythmic aspects of music supports and guides attention (Thaut, 2005 ; Geist and Geist, 2012 ). Considering the proposed potential and existing clinical literature outside of WS, future studies are needed to explore musical intervention with individuals with WS.…”

Section: Discussionmentioning

confidence: 99%

Williams Syndrome and Music: A Systematic Integrative Review

et al. 2018

View full text Add to dashboard Cite

Background: Researchers and clinicians have often cited a strong relationship between individuals with Williams syndrome (WS) and music. This review systematically identified, analyzed, and synthesized research findings related to WS and music.Methods: Thirty-one articles were identified that examined this relationship and were divided into seven areas. This process covered a diverse array of methodologies, with aims to: (1) report current findings; (2) assess methodological quality; and (3) discuss the potential implications and considerations for the clinical use of music with this population.Results: Results indicate that individuals with WS demonstrate a high degree of variability in skill and engagement in music, presenting with musical skills that are more in line with their cognitive abilities than chronological age (CA). Musical strengths for this population appear to be based more in musicality and expressivity than formal musical skills, which are expressed through a heightened interest in music, a greater propensity toward musical activities, and a heightened emotional responsiveness to music. Individuals with WS seem to conserve the overall structure of musical phrases better than they can discriminate or reproduce them exactly. The affinity for music often found in this population may be rooted in atypical auditory processing, autonomic irregularities, and differential neurobiology.Conclusions: More studies are needed to explore how this affinity for music can be harnessed in clinical and educational interventions.

show abstract

Bridging Music Neuroscience Evidence to Music Therapy Best Practice in the Early Childhood Classroom: Implications for Using Rhythm to Increase Attention and Learning

Cited by 12 publications

References 0 publications

Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment

Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment

The Effect of Music Intervention on Attention in Children: Experimental Evidence

Williams Syndrome and Music: A Systematic Integrative Review

Contact Info

Product

Resources

About