JOURNAL ARTICLE
Sensorimotor and working memory systems jointly support development of perceptual rhythm processing.
Published In: Developmental Science, 2023, v. 26, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kim, Hyun‐Woong; Lee, Kyung Myun; Lee, Yune Sang 3 of 3
Abstract
We studied the role of sensorimotor and working memory systems in supporting development of perceptual rhythm processing with 119 participants aged 7–12 years. Children were assessed for their abilities in sensorimotor synchronization (SMS; beat tapping), auditory working memory (AWM; digit span), and rhythm discrimination (RD; same/different judgment on a pair of musical rhythm sequences). Multiple regression analysis revealed that children's RD performance was independently predicted by higher beat tapping consistency and greater digit span score, with all other demographic variables (age, sex, socioeconomic status, music training) controlled. The association between RD and SMS was more robust in the slower tempos (60 and 100 beats‐per‐minute (BPM)) than faster ones (120 and 180 BPM). Critically, the relation of SMS to RD was moderated by age in that RD performance was predicted by beat tapping consistency in younger children (age: 7–9 years), but not in older children (age: 10–12 years). AWM was the only predictor of RD in older children. Together, the current findings demonstrate that the sensorimotor and working memory systems jointly support RD processing during middle‐to‐late childhood and that the degree of association between the two systems and perceptual rhythm processing is shifted before entering into early adolescence. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Developmental Science. 2023/01, Vol. 26, Issue 1, p1
- Document Type:Article
- Subject Area:Psychology
- Publication Date:2023
- ISSN:1363-755X
- DOI:10.1111/desc.13261
- Accession Number:160765580
- Copyright Statement:Copyright of Developmental Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.