The objective of this work was to carry out a systematic review and meta-analysis to understand the effect that formal music training has on cognitive development, specifically on executive functions, memory, and intelligence. Of the 84 studies identified in the meta-analysis, 16 met the inclusion criteria. The cognitive processes analyzed were divided into three different cognitive domains: executive function, memory, and intelligence, with two moderating variables, age and professional experience. The results indicated that professional musicians score higher in the three cognitive domains: executive function, memory and intelligence. Taking into account age and musical experience, these differences lessen for executive function and increase for memory and intelligence, but always with higher scores for professional musicians. This data indicates that formal music training might go along with cognitive development, and thus be indicative of the development of cognitive processes, which remains over time.
*AmerT.KalenderB.HasherL.TrehubS. E.WongY. (2013). Do older professional musicians have cognitive advantages?PLoS One, 8(8), e71630. https://doi.org/10.1371/journal.pone.0071630
2.
ArdilaR. (2011). Inteligencia. ¿Qué sabemos y qué nos falta por investigar?Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales, 35(134), 97–103.
3.
BaddeleyA. D. (1986). Working memory. Clarendon Press.
4.
BaddeleyA. D.HitchG. (1974). Working memory. In BowerG. H. (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol.8, pp. 47–89). Academic Press.
5.
BaddeleyA. D.LogieR. H. (1999). Working memory: The multiple-component model. In MiyakeA.ShahP. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 28–61). Cambridge University Press.
6.
BeldenA.ZengT.PrzysindaE.AnteraperS. A.Whitfield-GabrieliS.LouiP. (2020). Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity. NeuroImage, 207, 116384. https://doi.org/10.1016/j.neuroimage.2019.116384
7.
BenzS.SellaroR.HommelB.ColzatoL. S. (2016). Music makes the world go round: The impact of musical training on non-musical cognitive functions: A review. Frontiers in Psychology, 6, 2023. https://doi.org/10.3389/fpsyg.2015.02023
8.
BidelmanG. M.AlainC. (2015). Musical training orchestrates coordinated neuroplasticity in the auditory brainstem and cortex to counteract age-related declines in categorical vowel perception. The Journal of Neuroscience, 35(3), 1240–1249. https://doi.org/10.1523/JNEUROSCI.3292-14.2015
BorensteinM.HedgesL. V.HigginsJ. P. T.RothsteinH. R. (2009). Introduction to meta-analysis. John Wiley and Sons.
11.
BowmerA.MasonK.KnightJ.WelchG. (2018). Investigating the impact of a musical intervention on preschool children’s executive function. Frontiers in Psychology, 9, 2389.
12.
*ClaytonK. K.SwaminathanJ.YazdanbakhshA.ZukJ.PatelA. D.KiddG.Jr. (2016). Executive function, visual attention and the cocktail party problem in musicians and non-musicians. PLoS One, 11(7), e0157638. https://doi.org/10.1371/journal.pone.0157638
13.
CohenJ. (1988). Statistical power analysis for the behavioral sciences. Academic Press.
14.
CollinsA. (2014). Music education and the brain: What does it take to make a change?Applications of Research in Music Education, 32(2), 4–10.
15.
CooperP. K. (2020). It’s all in your head: A meta-analysis on the effects of music training on cognitive measures in schoolchildren. International Journal of Music Education, 38(3), 321–336. https://doi.org/10.1177/0255761419881495
16.
*CriscuoloA.BonettiL.SärkämöT.KliuchkoM.BratticoE. (2019). On the association between musical training, intelligence, and executive functions in adulthood. Frontiers in Psychology, 10, 1704. https://doi.org/10.3389/fpsyg.2019.01704
17.
DalyH. R.HallM. D. (2018). Not all musicians are created equal: Statistical concerns regarding the categorization of participants. Psychomusicology: Music, Mind, and Brain, 28(2), 117–126. https://doi.org/10.1037/pmu0000213
18.
De AquinoM.Verdejo-RománJ.Pérez-GarcíaM.Pérez-GarcíaP. (2019). Different roles of the supplementary motor area and the insula between musicians and non-musicians in a controlled musical creativity task. Scientific Reports, 9(1), 13006. https://doi.org/10.1038/s41598-019-49405-5
19.
DegéF.WehrumS.StarkR.SchwarzerG. (2011). The influence of two years of school music training in secondary school on visual and auditory memory. European Journal of Developmental Psychology, 8, 608–623. https://doi.org/10.1080/17405629.2011.590668
DunbarR. I. M. (2008). Cognitive constraints on the structure and dynamics of social networks. Group Dynamics: Theory, Research, and Practice, 12(1), 7–16. https://doi.org/10.1037/1089-2699.12.1.7
22.
EggerM.SmithG. D.SchneiderM.MinderC. (1997). Bias in meta-analysis detected by a simple graphical test. British Medical Journal, 315, 629–634. https://doi.org/10.1136/bmj.315.7109.629
23.
ElmerS.JänckeL. (2018). Relationships between music training, speech processing, and word learning: A network perspective. Annals of the New York Academy of Sciences. Advanced online publication. https://doi.org/10.1111/nyas.13581
24.
EngleR. W.KaneM. J. (2004). Executive attention, working memory capacity, and a two-factor theory of cognitive control. In RossB. H. (Ed.), The psychology of learning and motivation: Advances in research and theory (pp. 145–199). Elsevier Science.
25.
FrischenU.SchwarzerG.DegéF. (2019). Comparing the effects of rhythm-based music training and pitch-based music training on executive functions in preschoolers. Frontiers in Integrative Neuroscience, 13, 41. https://doi.org/10.3389/fnint.2019.00041
26.
GagnonR.NicoladisE. (2021). Musicians show greater cross-modal integration, intermodal integration, and specialization in working memory than non-musicians. Psychology of Music, 49(4), 718–734. https://doi.org/10.1177/0305735619896088
27.
GeakeJ. (2009). Brain at school: Educational neuroscience in the classroom. McGraw-Hill Education.
GrassiM.MeneghettiC.ToffaliniE.BorellaE. (2017). Auditory and cognitive performance in elderly musicians and nonmusicians. PLoS One, 12(11), e0187881. https://doi.org/10.1371/journal.pone.0187881
31.
GreenC. S.BavelierD. (2008). Exercising your brain: A review of human brain plasticity and training-induced learning. Psychology and Aging, 23(4), 692. https://doi.org/10.1037/a0014345
32.
HabibiA.DamasioA.IlariB.SachsM. E.DamasioH. (2018). Music training and child development: A review of recent findings from a longitudinal study. Annals of the New York Academy of Sciences, 1423(1), 73–81. https://doi.org/10.1111/nyas.13606
33.
Hanna-PladdyB.MacKayA. (2011). The relation between instrumental musical activity and cognitive aging. Neuropsychology, 25(3), 378–386. https://doi.org/10.1037/a0021895
34.
*Hanna-PladdyB.GajewskiB. (2012). Recent and past musical activity predicts cognitive aging variability: Direct comparison with general lifestyle activities. Frontiers in Human Neuroscience, 6, Article 198. https://doi.org/10.3389/fnhum.2012.00198
35.
HansenM.WallentinM.VuustP. (2013). Working memory and musical competence of musicians and non-musicians. Psychology of Music, 41(6), 779–793. https://doi.org/10.1177/0305735612452186
36.
HedgesL. V. (1981). Distribution theory for Glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107–128. https://doi.org/10.3102%2F10769986006002107
37.
HedgesL. V.OlkinI. (1985). Statistical methods for meta-analysis. Academic Press.
38.
*HerreroL.CarriedoN. (2018). Differences in updating processes between musicians and non-musicians from late childhood to adolescence. Learning and Individual Differences, 61, 188-195. https://doi.org/10.1016/j.lindif.2017.12.006
39.
HigginsJ. P.ThompsonS. G.DeeksJ. J.AltmanD. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327(7414), 557–560. https://doi.org/10.1136/bmj.327.7414.557
40.
JamesC. E.ZuberS.Dupuis-LozeronE.AbdiliL.GervaiseD.KliegelM. (2020). Formal string instrument training in a class setting enhances the cognitive and sensorimotor development of primary school children. Frontiers in Neuroscience, 14, 567. https://doi.org/10.3389/fnins.2020.00567
*JansenP.HojaS.JostL. (2022). Are there gender differences in executive functions between musicians and non-musicians?Journal of Individual Differences. Advanced online publication. https://doi.org/10.1027/1614-0001/a000350
43.
JonidesJ. (2008). Musical skill and cognition. In GazzanigaM. (Ed.), Learning, arts, and the brain: The Dana Consortium report on arts and cognition (pp. 11–17). Dana Consortium.
44.
KaneM. J.ConwayA. R. A.HambrickD. Z.EngleR. W. (2007). Variation in working memory capacity as variation in executive attention and control. In ConwayA. R. A.JarroldC.KaneM. J.MiyakeA.TowseJ. N. (Eds.), Variation in working memory (pp. 21–48). Oxford University Press.
45.
MansensD.DeegD. J. H.ComijsH. C. (2018). The association between singing and/or playing a musical instrument and cognitive functions in older adults. Aging & Mental Health, 22(8), 970–977.
46.
MiendlarzewskaE. A.TrostW. J. (2014). How musical training affects cognitive development: Rhythm, reward, and other modulating variables. Frontiers in Neuroscience, 7, 279. https://doi.org/10.3389/fnins.2013.00279
47.
*MoradzadehL.BlumenthalG.WiseheartM. (2015). Musical training, bilingualism, and executive function: A closer look at task switching and dual-task performance. Cognitive Science, 39(5), 992–1020. https://doi.org/10.1111/cogs.12183
48.
*MoussardA.BermudezP.AlainC.TaysW.MorenoS. (2016). Life-long music practice and executive control in older adults: An event-related potential study. Brain Research, 1642, 146–153. https://doi.org/10.1016/j.brainres.2016.03.028
PageM. J.McKenzieJ. E.BossuytP. M.BoutronI.HoffmannT. C.MulrowC. D.ShamseerL.TetzlaffJ. M.MoherD. (2021). Updating guidance for reporting systematic reviews: Development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112. https://doi.org/10.1016/j.jclinepi.2021.02.003
51.
PorflittF. I.Rosas-DíazR. R. (2019). Behind the scene: Cognitive benefits of playing a musical instrument. Executive functions, processing speed, fluid intelligence, and divided attention. Estudios de Psicologia, 40(2), 464–490. https://doi.org/10.1080/02109395.2019.1601474
52.
PosnerM.RothbartM. K.SheeseB. E.KierasJ. (2008). How arts training influences cognition. In GazzanigaM. (Ed.), Learning, arts, and the brain: The Dana Consortium report on arts and cognition (pp. 1–10). Dana Consortium.
53.
Review Manager (RevMan). (2020). [Computer program]. Version 5.4. The Cochrane Collaboration.
54.
RodenI.KönenT.BongardS.FrankenbergE.FriedrichE. K.KreutzG. (2014). Effects of music training on attention, processing speed, and cognitive music abilities – findings from a longitudinal study. Applied Cognitive Psychology, 28, 545–557. https://doi.org/10.1002/acp.3034
55.
RodriguesA. C.LoureiroM.CaramelliP. (2014). Visual memory in musicians and non-musicians. Frontiers in Human Neuroscience, 8, 424. https://doi.org/10.3389/fnhum.2014.00424
56.
Román-CaballeroR.ArnedoM.TriviñoM.LupiáñezJ. (2018). Musical practice as an enhancer of cognitive function in healthy aging: A systematic review and meta-analysis. PLoS One, 13(11), e0207957. https://doi.org/10.1371/journal.pone.0207957
57.
*Román-CaballeroR.Martín-ArévaloE.LupiáñezJ. (2021). Attentional networks functioning and vigilance in expert musicians and non-musicians. Psychological Research, 85(3), 1121–1135. https://doi.org/10.1007/s00426-020-01323-2
58.
Román-CaballeroR.VadilloM.A.TrainorL.J.LupiáñezJ. (2022). Please don’t stop the music: A meta-analysis of the cognitive and academic benefits of instrumental musical training in childhood and adolescence. Educational Research Review, 35, 100436. https://doi.org/10.1016/j.edurev.2022.100436
59.
RomeiserJ. L.SmithD.CloustonS. (2021). Musical instrument engagement across the life course and episodic memory in late life: An analysis of 60 years of longitudinal data from the Wisconsin Longitudinal Study. PLoS One, 16(6), e0253053. https://doi.org/10.1371/journal.pone.0253053
RosenbergM. S. (2005). The file-drawer problem revisited: A general weighted method for calculating fail-safe numbers in meta-analysis. Evolution, 59, 464–468. https://doi.org/10.1111/j.0014-3820.2005.tb01004.x
62.
SalaG.GobetF. (2020). Cognitive and academic benefits of music training with children: A multilevel meta-analysis. Memory and Cognition, 48(8), 1429–1441. https://doi.org/10.3758/s13421-020-01060-2
SlaterJ.KrausN. (2016). The role of rhythm in perceiving speech in noise: A comparison of percussionists, vocalists, and non-musicians. Cognitive Processing, 17, 79–87. https://doi.org/10.1007/s10339-015-0740-7
65.
SternbergR. J. (1985). Beyond IQ: A triachic theory of human intelligence. Cambridge University Press.
66.
*StrongJ. V.MastB. T. (2019). The cognitive functioning of older adult instrumental musicians and non-musicians. Aging, Neuropsychology, and Cognition, 26(3), 367–386. https://doi.org/10.1080/13825585.2018.1448356
67.
*SuárezL.ElangovanS.AuA. (2016). A cross-sectional study on the relationship between music training and working memory in adults. Australian Journal of Psychology, 68(1), 38–46. https://doi.org/10.1111/ajpy.12087
68.
TervaniemiM.TaoS.HuotilainenM. (2018). Promises of music in education?Frontiers in Education, 3, 74.
69.
TierneyA. T.KrizmanJ.KrausN. (2015). Music training alters the course of adolescent auditory development. Proceeding of the National Academy of Science of the USA, 112, 10062–10067. https://doi.org/10.1073/pnas.1505114112
70.
*WangX.OssherL.Reuter-LorenzP. A. (2015). Examining the relationship between skilled music training and attention. Consciousness and Cognition, 36, 169–179. https://doi.org/10.1016/j.concog.2015.06.014
71.
*YamashitaM.OhsawaC.SuzukiM.GuoX.SadakataM.OtsukaY.AsanoK.AbeN.SekiyamaK. (2022). Neural advantages of older musicians involve the cerebellum: Implications for healthy aging through lifelong musical instrument training. Frontiers in Human Neuroscience, 15, 784026. https://doi.org/10.3389/fnhum.2021.784026
72.
YurgilK. A.VelasquezM. A.WinstonJ. L.ReichmanN. B.ColomboP. J. (2020). Music training, working memory, and neural oscillations: A review. Frontiers in Psychology, 11, 266. https://doi.org/10.3389/fpsyg.2020.00266
73.
ZatorreR. J.ChenJ. L.PenhuneV. B. (2007). When the brain plays music: Auditory–motor interactions in music perception and production. Nature Reviews Neuroscience, 8, 547–558. https://doi.org/10.1038/nrn2152
74.
*ZukJ.BenjaminC.KenyonA.GaabN. (2014). Behavioral and neural correlates of executive functioning in musicians and non-musicians, PLoS ONE9, Article 99868. https://doi.org/10.1371/journal.pone.009
