Las prácticas artísticas: una visión neurocientífica
DOI:
https://doi.org/10.17561/rtc.21.5765Palabras clave:
Arte, cerebro, danza, neurociencia, músicaResumen
Las bases neuronales que subyacen en las prácticas artísticas han sido estudiadas por la neurociencia, haciendo uso de las metodologías y técnicas de registro que le son propias, con el objetivo de entender cómo el cerebro procesa el arte. Sin embargo, la investigación sobre el arte como medio para inducir plasticidad es aún limitada. Este texto revisa la literatura científica que vincula diversas manifestaciones artísticas –como la danza o las artes visuales– con cambios plásticos estructurales y funcionales a nivel cerebral.
Descargas
Referencias
Albusac-Jorge, Miriam (2019). Música, aprendizaje, experiencia y plasticidad cerebral. En Campos de investigación de vanguardia. Madrid: Pirámide (col. Ediciones Universitarias).
Avanzini, Giuliano; Faienza, Carmine; Lopez, Luisa; Majno, María; & Minciacchi, Diego (2003). General Foreword. Annals of the New York Academy of Sciences, 999(1), xi-xii. Doi: 10.1196/annals.1284.070. Recuperado de https://tinyurl.com/y2hp8tnx
Bar, Rachel J.; & DeSouza, Joseph, F. X. (2016). Tracking Plasticity: Effects of Long-Term Rehearsal in Expert Dancers Encoding Music to Movement. Plos One, 11(1), e0147731. Doi: 10.1371/journal.pone.0147731. Recuperado de https://tinyurl.com/y22twjtn
Baumann, Simon; Koeneke, Susan; Schmidt, Conny F.; Meyer, Martin; Lutz, Kai; & Jancke, Lutz (2007). A network for audio-motor coordination in skilled pianists and non-musicians. Brain Research, 1161, 65-78. Doi: 10.1016/j.brainres.2007.05.045. Recuperado de https://tinyurl.com/yyv3fgkz
Bermudez, Patrick; & Zatorre, Robert J. (2005). Differences in Gray Matter between Musicians and Nonmusicians. Annals of the New York Academy of Sciences, 1060(1), 395- 399. Doi: 10.1196/annals.1360.057. Recuperado de https://tinyurl.com/y4a3qm7t
Bhattacharya, Joydeep; & Petsche, Hellmuth (2002). Shadows of artistry: cortical synchrony during perception and imagery of visual art. Brain research. Cognitive brain research, 13(2),179-186. Doi:10.1016/s0926-6410(01)00110-0. Recuperado de https://tinyurl.com/y2sm3glc
Bhattacharya, Joydee; & Petsche, Hellmuth (2005). Drawing on mind’s canvas: differences in cortical integration patterns between artists and non-artists. Human Brain Mapping, 26(1) 1-14. Doi: 10.1002/hbm.20104. Recuperado de https://tinyurl.com/y3f3j8ss
Bhattacharya, Joydee (2009). Increase of Universality in Human Brain during Mental Imagery from Visual Perception. Plos One 4(1), e4121. Doi: 10.1371/journal.pone.0004121. Recuperado de https://tinyurl.com/y32g9r2d
Bläsing, Bettina; Calvo-Merino, Beatriz; Cross, Emily; Jola, Corinne; Honisch, Juliane; & Stevens, Catherine J. (2012). Neurocognitive control in dance perception and performance. Acta Psychologica, 139(2), 300-308. Doi: 10.1016/j.actpsy.2011.12.005. Recuperado de https://tinyurl.com/y4uhy3ju
Bläsing, Bettina; Puttke-Voss, Martin; & Schack, Thomas (Eds.) (2019). The neurocognition of dance: Mind, movement and motor skills. New York: Routledge.
Brown, Steven; Martínez, Michael J.; & Parsons, Lawrence M. (2006). The neural basis of human dance. Cerebral Cortex, 16(8), 1157-1167. Doi:10.1093/cercor/bhj057. Recuperado de https://tinyurl.com/y2fcr87y
Brown, Steven; & Parsons, Lawrence M. (2008). The neuroscience of dance. Scientific American, 299(1), 78-83. Doi: 10.1038/scientificamerican0708-78.
Burzynska, Agnieszka Z.; Finc, Karolina; Taylor, Brittany K.; Knecht, Anya M.; & Kramer, Arthur F. (2017). The Dancing Brain: Structural and Functional Signatures of Expert Dance Training. Frontiers in human neuroscience, 11, 566. Doi: 10.3389/fnhum.2017.00566. Recuperado de https://tinyurl.com/y6zejgvx
Cela-Conde, Camilo José; Marty, Gisèle; Maestú, Fernando; Ortiz, Tomás; Munar, Eric; Fernández, Alberto; … Quesney, Felipe (2004). Activation of the prefrontal cortex in the human visual aesthetic perception. Proceedings of the National Academy of Sciences of the United States of America, 101(16), 6321-6325. Doi: 10.1073/pnas.0401427101. Recuperado de https://tinyurl.com/yyfcqnha
Calvo-Merino, Beatriz; Glaser, Daniel E.; Grezes, Julie; Passingham, Richard E.; & Haggard, Patrick (2005). Action observation and acquired motor skills: An FMRI study with expert dancers. Cerebral Cortex 15(8), 1243-1249. Doi: 10.1093/cercor/bhi007. Recuperado de https://tinyurl.com/yxgt7fne
Calvo-Merino, Beatriz; Jola, Corinne; Glaser, Daniel E.; & Haggard, Patrick (2008). Towards a sensorimotor aesthetics of performing art. Consciousness and cognition, 17(3), 911-922. Doi: 10.1016/j.concog.2007.11.003. Recuperado de https://tinyurl.com/yyop85av
D’Ausilio, Alessandro; Altenmüller, Eckart; Olivetti Belardinelli, Marta; & Lotze, Martin (2006). Cross-modal plasticity of the motor cortex while listening to a rehearsed musical piece. The European Journal of Neuroscience, 24(3), 955-958. Doi: 10.1111/j.1460-9568.2006.04960.x. Recuperado de https://tinyurl.com/y24fbp93
Dewey, John (1934). Art as experience. New York: Minton, Balch & Company.
Eklund, Andres; Nichols, Thomas; Andersson, Mats; & Knutsson, Hans (2015). Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysis. IEEE 12th International Symposium on Biomedical Imaging (ISBI) (pp. 1376-1380). New York. Doi: 10.1109/ISBI.2015.7164132. Recuperado de https://tinyurl.com/yxdgxj8g
Fauvel, Baptiste; Groussard, Mathilde; Chételat, Gaël; Fouquet, Marine; Landeau, Brigitte, Eustache, Francis, … Platel, Hervé (2014). Morphological brain plasticity induced by musical expertise is accompanied by modulation of functional connectivity at rest. NeuroImage, 90, 179-188. Doi: 10.1016/j.neuroimage.2013.12.065. Recuperado de https://tinyurl.com/yyp3q9v9
Fink, Andreas; Graif, Barbara; & Neubauer, Aljoscha. C. (2009). Brain correlates underlying creative thinking: EEG alpha activity in professional vs. novice dancers. Neuroimage, 46(3), 854-862. Doi: 10.1016/j.neuroimage.2009.02.036. Recuperado de https://tinyurl.com/y5xh2x88
Gaser, Christian; & Schlaug, Gottfried. (2003). Gray matter differences between musicians and nonmusicians. Annals of the New York Academy of Sciences, 999(1), 514-517. Doi: 10.1196/annals.1284.062. Recuperado de https://tinyurl.com/y3yc8ujv
Gebel, Benjamin; Braun, Christoph; Kaza, Evangelia; Altenmüller, Eckart; & Lotze, Martin (2013). Instrument specific brain activation in sensorimotor and auditory representation in musicians. NeuroImage, 74, 37-44. Doi: 10.1016/j.neuroimage.2013.02.021. Recuperado de https://tinyurl.com/y26f7rtz
Giacosa, Chiara; Karpati, Falisha J.; Foster, Nicholas E. V.; Penhune, Virginia B.; & Hyde, Krista L. (2016). Dance and music training have different effects on white matter diffusivity in sensorimotor pathways. NeuroImage, 135, 273-286. Doi: 10.1016/j.neuroimage.2016.04.048. Recuperado en https://tinyurl.com/yy8sfxg4
Giacosa, Chiara; Karpati, Falisha J.; Foster, Nicholas E. V.; Hyde, Krista L.; & Penhune, Virginia B. (2019). The descending motor tracts are different in dancers and musicians. Brain Structure and Function, 224, 3229-3246. Doi: 10.1007/s00429-019-01963-0. Recuperado de https://tinyurl.com/yy2l3cmb Gujing, Li; Hui, He; Xin, Li; Lirong, Zhang; Yutong, Yao; Guofeng, Ye; … Dezhon, Yao (2019). Increased Insular Connectivity and Enhanced Empathic Ability Associated with Dance/Music Training. Neural Plasticity, 9693109. Doi: 10.1155/2019/9693109. Recuperado de
Han, Ying; Yang, Hong; Lv, Ya-Ting; Zhu, Chao-Zhe, He, Yong; Tang, He-Han; … Dong, Qi (2009). Gray matter density and white matter integrity in pianists’ brain: a combined structural and diffusion tensor MRI study. Neuroscience Letters, 459(1), 3-6. Doi: 10.1016/j.neulet.2008.07.056. Recuperado de https://tinyurl.com/yxvoslxw
Hänggi, Jürgen; Koeneke, Susan; Bezzola, Ladina; & Jäncke, Lutz (2010). Structural neuroplasticity in the sensorimotor network of professional female ballet dancers. Human Brain Mapping, 31(8), 1196-1206. Doi: 10.1002/hbm.20928. Recuperado dehttps://tinyurl.com/y5x8wpao
Herdener, Marcus; Esposito, Fabrizio; di Salle, Francesco; Boller, Christian; Hilti, Caroline C., Habermeyer, Benedikt; … Cattapan-Ludewig, Katja (2010). Musical Training Induces Functional Plasticity in Human Hippocampus. The Journal of Neuroscience, 30(4), 1377-1384. Doi: 10.1523/JNEUROSCI.4513-09.2010. Recuperado de https://tinyurl.com/y2ckjvb9
Herholz, Sibylle C; & Zatorre, Robert J. (2012). Musical training as a framework for brain plasticity: behavior, function, and structure. Neuron, 76(3), 486-502. Doi: 10.1016/j.neuron.2012.10.011. Recuperado de https://tinyurl.com/y69987wy
Huang, Ruiwang; Lu, Min; Song, Zheng; & Wang, Jun (2015). Long-term intensive training induced brain structural changes in world class gymnasts. Brain Structure and Function, 220(2), 625-644. Doi. 10.1007/s00429-013-0677-5. Recuperado de https://tinyurl.com/y3s2eczr
Hutchinson, Siobhan; Lee, Leslie Hui-Lin; Gaab, Nadine; & Schlaug, Gottfried (2003). Cerebellar volume of musicians. Cerebral Cortex, 13(9), 943-949. Doi: 10.1093/cercor/13.9.943. Recuperado de https://tinyurl.com/y4onmcjw
Jäncke, Lutz; Shah, Nadim Jon; & Peters, Michael (2000). Cortical activations in primary and secondary motor areas for complex bimanual movements in professional pianists. Cognitive Brain Research, 10(1-2), 177-183. Doi: 10.1016/S0926-6410(00)00028-8. Recuperado de https://tinyurl.com/y3dwttl9
Karpati, Falisha J.; Giacosa, Chiara; Foster, Nicholas E. V.; Penhune, Virginia B; & Hyde, Krista L. (2015). Dance and the brain: a review. Annals of the New York Academy of Sciences, 1337, 140-146. Doi:10.1111/nyas.12632. Recuperado de https://tinyurl.com/yyge8dqq
Karpati, Falisha J.; Giacosa, Chiara; Foster, Nicholas E. V.; Penhune, Virginia B; & Hyde, Krista L. (2017). Dance and music share gray matter structural correlates. Brain Research, 1657, 62-73. Doi: 10.1016/j.brainres.2016.11.029. Recuperado de https://tinyurl.com/y3wsf27h
Karpati, Falisha J.; Giacosa, Chiara; Foster, Nicholas E. V.; Penhune, Virginia B; & Hyde, Krista L. (2018). Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls. Frontiers in Human Neuroscience, 12, 373. Doi: 10.3389/fnhum.2018.00373. Recuperado de https://tinyurl.com/y22ecy8y
Kawabata, Hideaki; & Zeki, Semir (2004). Neural correlates of beauty. Journal of neurophysiology, 91(4), 1699-705. Doi: 10.1152/jn.00696.2003. Recuperado de https://tinyurl.com/yxlnptfn
Kelly, A. M. Clare; & Garavan, Hugh (2015). Human functional neuroimaging of brain changes associated with practice. Cerebral Cortex, 15(8), 1089-1102. Doi: 10.1093/cercor/bhi005. Recuperado de https://tinyurl.com/y6amy42r
Kim, Young Jae; Cha, Eun Joo; Kang, Kyoung Doo; Kim, Bung-Nyun; & Han, Doug Hyun (2016). The effects of sport dance on brain connectivity and body intelligence. Journal of Cognitive Psychology, 28(5), 611-617. Doi: 10.1080/20445911.2016.1177059. Recuperado de https://tinyurl.com/yyvla4v6
Koeneke, Susan; Lutz, Kai; Wüstenberg, Torsten; & Jäncke, Lutz (2004). Long-term training affects cerebellar processing in skilled keyboard players. Neuroreport, 15(8), 1279-1282. Doi: 10.1097/01.wnr.0000127463.10147.e7. Recuperado de https://tinyurl.com/yydua4lp
Kottlow, Mara; Praeg, Elke; Luethy, Christine; & Jäncke, Lutz (2011). Artists’ advance: decreased upper alpha power while drawing in artists compared with non-artists. Brain Topography, 23(4), 392-402. Doi: 10.1007/s10548-010-0163-9. Recuperado de https://tinyurl.com/y544mcur
Lee, Dennis J.; Chen, Yi; & Schlaug, Gottfried (2003). Corpus callosum: musician and gender effects. Neuroreport, 14(2), 205-209. Doi: 10.1097/01.wnr.0000053761.76853.41. Recuperado de https://tinyurl.com/y4rbo24x
Lin, Chia-Shu; Liu, Yong; Huang, Wei-Yuan; Lu, Chia-Feng; Teng, Shin; Ju Tzong-Ching; … Hsieh, Jen-Chuen (2013). Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art. Plos One, 8(6), e66761. Doi: 10.1371/journal.pone.0066761. Recuperado de https://tinyurl.com/yxuklhzu
Livingstone, M. (2002). Vision and Art: The Biology of Seeing. New York: Harry N. Abrams.
Lv, Ya-Ting; Yang, Hong; Wang, De-Yi; Li, Shu-Yu; Han, Ying; Zhu, Chao-Zhe; ... Zang, Yu-Feng (2008). Correlations in spontaneous activity and gray matter density between left and right sensorimotor areas of pianists. Neuroreport, 19(6), 631-634. Doi: 10.1097/WNR.0b013e3282fa6da0. Recuperado de https://tinyurl.com/y263yd96
Makuuchi, Michiru; Kaminaga, Tatsuro; & Sugishita, Morihiro (2003). Both parietal lobes are involved in drawing: a functional MRI study and implications for constructional apraxia. Brain research. Cognitive brain research, 16(3), 338-347. Doi: 10.1016/s0926-6410(02)00302-6. Recuperado de https://tinyurl.com/y4t3w5r4
Meier, Jessica; Topka, Marlene Sofie; & Hänggi, Jürgen (2016). Differences in cortical representation and structural connectivity of hands and feet between professional handball players and ballet dancers. Neural Plasticity, 6817397. Doi: 10.1155/2016/6817397. Recuperado de https://tinyurl.com/yxvucloz
Murillo-García, Álvaro; Villafaina, Santos; Collado-Mateo, Daniel; León-Llamas, Juan Luis; & Gusi, Narcis (2020). Effect of dance therapies on motor-cognitive dual-task performance in middle-aged and older adults: a systematic review and meta-analysis. Disability and Rehabilitation. Doi: 10.1080/09638288.2020.1735537. Recuperado de https://tinyurl.com/y6r7obl8
Müller, Patrick; Rehfeld, Kathrin; Schmicker, Marlen; Hökelmann, Anita; Dordevic, Milos; Lessmann, Volkmar; … Müller, Notger G. (2017). Evolution of Neuroplasticity in Response to Physical Activity in Old Age: The Case for Dancing. Frontiers in aging neuroscience, 9, 56. Doi: 10.3389/fnagi.2017.00056. Recuperado de https://tinyurl.com/y45v9599
Nigmatullina, Yuliya; Hellyer, Peter J.; Nachev, Parashkev; Sharp, David J.; & Seemungal, Barry M. (2015). The neuroanatomical correlates of training-related perceptuo-reflex uncoupling in dancers. Cerebral Cortex, 25(2), 554-562. Doi: 10.1093/cercor/bht266. Recuperado de https://tinyurl.com/y532nrby
Ohnishi, Takashi; Matsuda, Hiroshi; Asada, Takashi; Aruga, Makoto; Hirakata, Makiko; Nishikawa, Masami; ... Imabayashi, Etsuko (2001). Functional anatomy of musical perception in musicians. Cerebral Cortex, 11(8), 754-760. Doi: 10.1093/cercor/11.8.754. Recuperado de https://tinyurl.com/y6pkdfyl
Orlandi, Andrea; Zani, Alberto; & Proverbio, Alice Mado (2017). Dance expertise modulates visual sensitivity to complex biological movements. Neuropsychologia, 104, 168-181. Doi: 10.1016/j.neuropsychologia.2017.08.019. Recuperado de https://tinyurl.com/y2s8rpug
Palomar-García, María Ángeles; Zatorre, Robert J.; Ventura-Campos, Noelia; Bueichekú, Elisenda; & Ávila, César (2017). Modulation of Functional Connectivity in Auditory–Motor Networks in Musicians Compared with Nonmusicians. Cerebral Cortex, 27(5), 2768-2778. Doi: 10.1093/cercor/bhw120. Recuperado de https://tinyurl.com/y6y9vso5
Pauli, Ruth; Bowring, Alexander; Reynolds, Richard; Chen, Gang; Nichols, Thomas E.; & Maumet, Camille (2016). Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM. Frontiers in Neuroinformatics, 10, 24. Doi: 10.3389/fninf.2016.00024. Recuperado de https://tinyurl.com/y39m6n45
Poikonen, Hanna; Toiviainen, Petri; & Tervaniemi, Mari (2018a). Dance on cortex: enhanced theta synchrony in experts when watching a dance piece. The European journal of neuroscience, 47(5), 433-445. Doi:10.1111/ejn.13838. Recuperado de https://tinyurl.com/yxjbmhbo
Poikonen, Hanna; Toiviainen, Petri; & Tervaniemi, Mari (2018b). Naturalistic music and dance: Cortical phase synchrony in musicians and dancers. Plos One, 13(4), e0196065. Doi: 10.1371/journal.pone.0196065. Recuperado de https://tinyurl.com/yyog3btk
Porat, Shai; Goukasian, Naira; Hwang, Kristy S.; Zanto, Theodore; Do, Triet; Pierce, Jonathan; … Apostolova, Liana G. (2016). Dance Experience and Associations with Cortical Gray Matter Thickness in the Aging Population. Dementia and geriatric cognitive disorders extra, 6(3), 508-517. Doi: 10.1159/000449130. Recuperado de https://tinyurl.com/y4mrq8a
Preminger, Son (2012). Transformative art: art as means for long-term neurocognitive change. Frontiers in Human Neuroscience, 6, article 96. Doi: 10.3389/fnhum.2012.00096. Recuperado de https://tinyurl.com/yy3m6znv
Ramachandran, Vilayanur S.; & Hirstein, William (1999). The science of art: a neurological theory of aesthetic experience. Journal of Consciousness Studies, 6, (6-7), 15-51. Recuperado de https://tinyurl.com/y5mnqh29
Rehfeld, Kathrin; Müller, Patrick; Aye, Norman; Schmicker, Marlen; Dordevic, Milos; Kaufmann, Jörn; … Müller, Notger G. (2017). Dancing or fitness sport? The effects of two training programs on hippocampal plasticity and balance abilities in healthy seniors. Frontiers in Human Neuroscience, 11, 305. Doi: 10.3389/fnhum.2017.00305. Recuperado de https://tinyurl.com/y9lcympt
Rehfeld, Kathrin; Lüders, Angie; Hökelmann, Anita; Lessmann, Volkmar; Kaufmann, Joern; … Müller, Notger G. (2018). Dance training is superior to repetitive physical exercise in inducing brain plasticity in the elderly. Plos One, 13(7), e0196636. Doi: 10.1371/journal.pone.0196636. Recuperado de https://tinyurl.com/y5kofobd
Rosenkranz, Karin; Williamon, Aaron; & Rothwell, John C. (2007). Motorcortical excitability and synaptic plasticity is enhanced in professional musicians. The Journal of Neuroscience, 27(19), 5200-5206. Doi: 10.1523/JNEUROSCI.0836-07.2007. Recuperado de https://tinyurl.com/yyjjxlxc
Schlaug, Gottfried; Forgeard, Marie; Zhu, Lin; Norton, Andrea; Norton, Andrew; & Winner, Ellen (2009). Training-induced neuroplasticity in young children. Annals of the New York Academy of Sciences, 1169, 205-208. Doi: 10.1111/j.1749-6632.2009.04842.x. Recuperado de https://tinyurl.com/yy56e8as
Schlaug, Gottfried (2015). Musicians and music making as a model for the study of brain plasticity. En E. Altenmüller, S. Finger, & F. Boller (Eds.), Progress in Brain Research. Music, Neurology, and Neuroscience: Evolution, the Musical Brain, Medical Conditions, and Therapies (Vol. 217, pp. 37-55). Amsterdan: Elsevier. Doi: 10.1016/bs.pbr.2014.11.020. Recuperado de https://tinyurl.com/y5oessjz
Solso, Robert L. (2001). Brain activities in a skilled versus a novice artist: an fMRI study. Leonardo 34(1), 31-34. Doi: 10.1162/002409401300052479. Recuperado de https://tinyurl.com/y5qfkrxb
Steele, Christopher J.; Bailey, Jennifer A.; Zatorre, Robert J.; & Penhune, Virginia B. (2013). Early Musical Training and White-Matter Plasticity in the Corpus Callosum: Evidence for a Sensitive Period. Journal of Neuroscience, 33(3), 1282-1290. Doi: 10.1523/JNEUROSCI.3578-12.2013. Recuperado de https://tinyurl.com/yxztqghu
Strait, Dana L.; Chan, Karen; Ashley, Richard; & Kraus, Nina (2012). Specialization among the specialized: auditory brainstem function is tuned in to timbre. Cortex, 48(3), 360-362. Doi: 10.1016/j.cortex.2011.03.015. Recuperado de https://tinyurl.com/yxmfbl2u
Teixeira-Machado, Lavinia; Arida, Ricardo Mario; & de Jesús Mari, Jair (2019). Dance for neuroplasticity: A descriptive systematic review. Neuroscience & Biobehavioral Reviews, 96, 232-240. Doi: 10.1016/j.neubiorev.2018.12.010. Recuperado de https://tinyurl.com/y4n337ww
Vollmann, Henning; Ragert, Patrick; Conde, Virginia; Villringer, Arno; Classen, Joseph; Witte, Otto W.; & Steele, Christopher J. (2014). Instrument specific use-dependent plasticity shapes the anatomical properties of the corpus callosum: a comparison between musicians and non-musicians. Frontiers in Behavioral Neuroscience, 8, 245. Doi: 10.3389/fnbeh.2014.00245. Recuperado de https://tinyurl.com/yyhjheyw
Wan, Catherine Y.; & Schlaug, Gottfried (2010). Music making as a tool for promoting brain plasticity across the life span. Neuroscientist, 16(5), 566-577. Doi: 10.1177/1073858410377805. Recuperado de https://tinyurl.com/y5kmjphp
Zatorre, Robert J. (2003). Music and the Brain. Annals of the New York Academy of Sciences, 999(1), 4-14. Doi: 10.1196/annals.1284.001. Recuperado de https://tinyurl.com/y2qztqcn
Zatorre, Robert J.; & Peretz, Isabelle (2001). The biological foundations of music. New York: New York Academy of Sciences.
Zatorre, Robert (2005). Music, the food of neuroscience? Nature, 434(7031), 312-315. Doi: 10.1038/434312a. Recuperado de https://tinyurl.com/y3x33y7n
Zatorre, Robert J.; & Salimpoor, Valorie N. (2013). From perception to pleasure: Music and its neural substrates. Proceedings of the National Academy of Sciences, 110 (Supplement 2), 10430-10437. Doi: 10.1073/pnas.1301228110. Recuperado de https://tinyurl.com/y2erfoj3
Zeki, S. (1998). Art and the Brain. Daedalus, 127(2), 71-103. Recuperado de https://tinyurl.com/y5q73h86
Zeki S. (1999). Inner Vision: An Exploration of Art and the Brain. Oxford: Oxford University Press.
Publicado
Número
Sección
Licencia
Derechos de autor 2022 Miriam Albusac Jorge
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Aquellos autores/as que tengan publicaciones con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cuál estará simultáneamente sujeto a la Licencia de reconocimiento de Creative Commons que permite a terceros compartir la obra siempre que se indique su autor y su primera publicación esta revista.
- Los autores/as podrán adoptar otros acuerdos de licencia no exclusiva de distribución de la versión de la obra publicada (p. ej.: depositarla en un archivo telemático institucional o publicarla en un volumen monográfico) siempre que se indique la publicación inicial en esta revista.
- Se permite y recomienda a los autores/as difundir su obra a través de Internet (p. ej.: en archivos telemáticos institucionales o en su página web) antes y durante el proceso de envío, lo cual puede producir intercambios interesantes y aumentar las citas de la obra publicada. (Véase El efecto del acceso abierto).
En caso de ser aceptados, los trabajos se publicarán bajo licencia Creative Commons.
