Musical Aptitude as a Variable in the Assessment of Working Memory and Selective Attention Tasks
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background and Objectives: The influence of musical aptitude on cognitive test performance in musicians is a long-debated research question. Evidence points to the low performance of nonmusicians in visual and auditory cognitive tasks (working memory and attention) compared with musicians. This cannot be generalized to all nonmusicians, as a sub-group in this population can have innate musical abilities even without any formal musical training. The present study aimed to study the effect of musical aptitude on the working memory and selective attention.Subjects and Methods: Three groups of 20 individuals each (a total of 60 participants), including trained-musicians, nonmusicians with good musical aptitude, and nonmusicians with low musical aptitude, participated in the present study. Cognitive-based visual (Flanker’s selective attention test) and auditory (working memory tests: backward digit span and operation span) tests were administered.Results: MANOVA (followed by ANOVA) revealed a benefit of musicianship and musical aptitude on backward digit span and Flanker’s reaction time (p<0.05). Discriminant function analyses showed that the groups could be effectively (accuracy, 80%) segregated based on the backward digit span and Flanker’s selective attention test. Trained musicians and nonmusicians with good musical aptitude were distinguished as one cluster and nonmusicians with low musical aptitude formed another cluster, hinting the role of musical aptitude in working memory and selective attention.Conclusions: Nonmusicians with good musical aptitude can have enhanced working memory and selective attention skills like musicians. Hence, caution is required when these individuals are included as controls in cognitive-based visual and auditory experiments.
Abstract
Background and Objectives: The influence of musical aptitude on cognitive test performance in musicians is a long-debated research question. Evidence points to the low performance of nonmusicians in visual and auditory cognitive tasks (working memory and attention) compared with musicians. This cannot be generalized to all nonmusicians, as a sub-group in this population can have innate musical abilities even without any formal musical training. The present study aimed to study the effect of musical aptitude on the working memory and selective attention. Subjects and Methods: Three groups of 20 individuals each (a total of 60 participants), including trained-musicians, nonmusicians with good musical aptitude, and nonmusicians with low musical aptitude, participated in the present study. Cognitive-based visual (Flanker’s selective attention test) and auditory (working memory tests: backward digit span and operation span) tests were administered. Results: MANOVA (followed by ANOVA) revealed a benefit of musicianship and musical aptitude on backward digit span and Flanker’s reaction time (p<0.05). Discriminant function analyses showed that the groups could be effectively (accuracy, 80%) segregated based on the backward digit span and Flanker’s selective attention test. Trained musicians and nonmusicians with good musical aptitude were distinguished as one cluster and nonmusicians with low musical aptitude formed another cluster, hinting the role of musical aptitude in working memory and selective attention. Conclusions: Nonmusicians with good musical aptitude can have enhanced working memory and selective attention skills like musicians. Hence, caution is required when these individuals are included as controls in cognitive-based visual and auditory experiments.
참고문헌 (30)
- Lappe C, "Cortical plasticity induced by short-term multimodal musical rhythm training", PLoS One, 6, pp.e21493~ (2011)
- Parbery-Clark A, "Musician enhancement for speech-in-noise", Ear Hear, 30, pp.653~661 (2009)
- Bailey JA, "Early musical training is linked to gray matter structure in the ventral premotor cortex and auditorymotor rhythm synchronization performance", J Cogn Neurosci, 26, pp.755~767 (2013)
- Puschmann S, "Musicians at the cocktail party : neural substrates of musical training during selective listening in multispeaker situations", Cereb Cortex, 29, pp.3253~3265 (2019)
- Devi N, "Effect of musical training on masking paradigm", Indian J Otol, 22, pp.85~91 (2016)
- Cohen MA, "Auditory and visual memory in musicians and nonmusicians", Psychon Bull Rev, 18, pp.586~591 (2011)
- Baddeley A, "Working memory, thought, and action" (2007), Oxford Publishers
- Fougnie D, "New Research on Short-Term Memory", pp.1~45 (2018), Nova Science Publishers, Inc
- Hansen M, "Working memory and musical competence of musicians and non-musicians", Psychol Music, 41, pp.779~793 (2013)
- D’Souza AA, "Musical training, bilingualism, and executive function: working memory and inhibitory control", Cogn Res Princ Implic, 3, pp.11~ (2018)
- Medina D, "Efficiency of attentional networks in musicians and non-musicians", Heliyon, 5, pp.e01315~ (2019)
- Mankel K, "Inherent auditory skills rather than formal music training shape the neural encoding of speech", Proc Natl Acad Sci U S A, 115, pp.13129~13134 (2018)
- Vaquero L, "Structural neuroplasticity in expert pianists depends on the age of musical training onset", Neuroimage, 126, pp.106~119 (2016)
- Nichols BE, "Score one for jazz : working memory in jazz and classical musicians", Psychomusicology Music Mind Brain, 28, pp.101~107 (2018)
- Gaser C, "Brain structures differ between musicians and non-musicians", J Neurosci, 23, pp.9240~9245 (2003)
- Zentner M, "Assessing musical ability quickly and objectively : development and validation of the short-PROMS and the mini-PROMS", Ann N Y Acad Sci, 1400, pp.33~45 (2017)
- Boebinger D, "Musicians and non-musicians are equally adept at perceiving masked speech", J Acoust Soc Am, 137, pp.378~387 (2015)
- Devi N, "Development and standardization of ‘Questionnaire on Music Perception Ability’", Sangeeth Galaxy, 6, pp.3~13 (2017)
- Law LN, "Assessing musical abilities objectively : construction and validation of the profile of music perception skills", PLoS One, 7, pp.e52508~ (2012)
- Kunert R, "An independent psychometric evaluation of the PROMS measure of music perception skills", PLoS One, 11, pp.e0159103~ (2016)
- Strub RL, "The mental status examination in neurology" (1985), F.A. Davis
- Schuklenk U, "Helsinki declaration revisions", Issues Med Ethics, 9, pp.29~ (2001)
- Kumar AU, "Development and test trail of computer based auditory-cognitive training module for individuals with cochlear hearing loss. Departmental Project", All India Institute of Speech and Hearing, ~ (2013)
- Conway AR, "Working memory span tasks : a methodological review and user’s guide", Psychon Bull Rev, 12, pp.769~786 (2005)
- Eriksen BA, "Effects of noise letters upon the identification of a target letter in a nonsearch task", Percept Psychophys, 16, pp.143~149 (1974)
- Schneider W, "E-Prime reference guide" (2002), Psychology Software Tools, Inc
- Patston LL, "Attention in musicians is more bilateral than in non-musicians", Laterality, 12, pp.262~272 (2007)
- Rodrigues AC, "Visual memory in musicians and non-musicians", Front Hum Neurosci, 8, pp.424~ (2014)
- Fortenbaugh FC, "Sustained attention across the life span in a sample of 10,000: dissociating ability and strategy", Psychol Sci, 26, pp.1497~1510 (2015)
- Saito S, "On the nature of forgetting and the processing–storage relationship in reading span performance", J Mem Lang, 50, pp.425~443 (2004)
