The Associations Between Music Training, Musical Working Memory, and Visuospatial Working Memory

Author:

Silas Sebastian1,Müllensiefen Daniel2,Gelding Rebecca3,Frieler Klaus4,Harrison Peter M. C.5

Affiliation:

1. Hochschule für Musik, Theater und Medien, Hanover, Germany

2. Goldsmiths University of London, London, United Kingdom

3. Macquarie University, Sydney, Australia

4. Max Planck Institute for Empirical Aesthetics, Frankfurt/M., Germany

5. University of Cambridge, Cambridge, United Kingdom

Abstract

Prior research studying the relationship between music training (MT) and more general cognitive faculties, such as visuospatial working memory (VSWM), often fails to include tests of musical memory. This may result in causal pathways between MT and other such variables being misrepresented, potentially explaining certain ambiguous findings in the literature concerning the relationship between MT and executive functions. Here we address this problem using latent variable modeling and causal modeling to study a triplet of variables related to working memory: MT, musical working memory (MWM), and VSWM. The triplet framing allows for the potential application of d-separation (similar to mediation analysis) and V-structure search, which is particularly useful since, in the absence of expensive randomized control trials, it can test causal hypotheses using cross-sectional data. We collected data from 148 participants using a battery of MWM and VSWM tasks as well as a MT questionnaire. Our results suggest: 1) VSWM and MT are unrelated, conditional on MWM; and 2) by implication, there is no far transfer between MT and VSWM without near transfer. However, the data are unable to distinguish an unambiguous causal structure. We conclude by discussing the possibility of extending these models to incorporate more complex or cyclic effects.

Publisher

University of California Press

Subject

Music

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3