MŪZIKAS RADĪŠANA AR SMADZEŅU VIĻŅIEM: TILTS STARP SISTEMĀTISKO MUZIKOLOĢIJU UN NEIROZINĀTNI SMADZEŅU-DATORA MŪZIKAS SASKARNES PĒTĪJUMOS
Atslēgvārdi:
EEG (elektroencefalogrāfija), BCMI (smadzeņu-datora mūzikas saskarne), sistemātiskā muzikoloģija, neirozinātneAnotācija
Rakstā tiek analizēta sistemātiskās muzikoloģijas un neirozinātnes integrācija, izmantojot smadzeņu–datora mūzikas saskarni (BCMI), uzsverot tās potenciālu mainīt izpratni par muzikālo mijiedarbību teorijā un praksē. Balstoties gan uz senākām tradīcijām – Helmholca un Adlera teorijām, gan mūsdienu neiromuzikoloģijas paradigmām, tas iezīmē EEG balstītus pētījumus kā “trešā viļņa” pieeju mūzikas un smadzeņu izpētē, proti, akcentē ekoloģisko validitāti, emocionālās izteiksmes nodomu un starpsmadzeņu mijiedarbību. Raksts argumentē, ka BCMI ir ne tikai zinātnes un mākslas robežlīnija, bet arī modelis institucionālai attīstībai un starpdisciplinārai pētniecībai mūzikā un neirozinātnē.
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Acquadro, Michaël A. S., Marco Congedo, and Dirk De Riddeer. 2016. “Music Performance as an Experimental Approach to Hyperscanning Studies.” Frontiers in Human Neuroscience 10. https://doi.org/10.3389/fnhum.2016.00242.
Adler, Guido. 1885. “Umfang, Methode und Ziel der Musikwissenschaft.” Vierteljahrsschrift für Musikwissenschaft 1, no. 1: 5–20.
Astolfi, Laura, Jlenia Toppi, Gianluca Borghini, Giovanni Vecchiato, Roberto Isabella, Fabrizio de Vico Fallani, Febo Cincotti, Serenella Salinari, Donatella Mattia, Bin He, Carlo Caltagirone, and Fabio Babiloni. 2011. “Study of the Functional Hyperconnectivity between Couples of Pilots during Flight Simulation: An EEG Hyperscanning Study.” In Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2338–2341. https://doi.org/10.1109/IEMBS.2011.6090654.
Berger, Hans. 1929. “Über das Elektrenkephalogramm des Menschen.” Archiv für Psychiatrie und Nervenkrankheiten 87: 527–570.
Christopher, Kameron R., Ajay Kapur, Dale A. Carnegie, and Gina M. Grimshaw. 2014. “A History of Emerging Paradigms in EEG for Music.” In Proceedings of the 40th International Computer Music Conference (ICMC 2014) and 11th Sound and Music Computing Conference (SMC 2014): Music Technology Meets Philosophy, 1142–1148.
Czeszumski, Artur, Sara Eustergerling, Anne Lang, David Menrath, Michael Gerstenberger, Susanne Schuberth, Felix Schreiber, Zadkiel Z. Rendon, and Peter König. 2020. “Hyperscanning: A Valid Method to Study Neural Inter-Brain Underpinnings of Social Interaction.” Frontiers in Human Neuroscience 14. https://doi.org/10.3389/fnhum.2020.00039.
Ghodousi, Mahrad, Jachin E. Pousson, Aleksandras Voicikas, Valdis Bernhofs, Evaldas Pipinis, Povilas Tarailis, Lana Burmistrova, Yu-Ping Lin, and Inga Griškova-Bulanova. 2022. “EEG Connectivity during Active Emotional Musical Performance.” Sensors 22 (11): 4064. https://doi.org/10.3390/s22114064.
Ghodousi, Mahrad, Jachin E. Pousson, Valdis Bernhofs, and Inga Griškova-Bulanova. 2023. “Assessment of Different Feature Extraction Methods for Discriminating Expressed Emotions during Music Performance toward BCMI Application.” Sensors 23, no. 4: 2252. https://doi.org/10.3390/s23042252.
Gugnowska Katarzyna, Giacomo Novembre, Natalie Kohler, Arno Villringer, Peter E. Keller, and Daniela Sammler. 2022. “Endogenous Sources of Interbrain Synchrony in Duetting Pianists.” Cerebral Cortex 32, no. 18: 4110–4127. https://doi.org/10.1093/cercor/bhab469.
Helmholtz, Hermann von. 1877. Die Lehre von den Tonempfindungen als physiologische Grundlage für die Theorie der Musik. 4th enlarged ed. Braunschweig: F. Vieweg.
Juslin, Patrik N. and Daniel Västfjäll. 2008. “Emotional Responses to Music: The Need to Consider Underlying Mechanisms.” Behavioral and Brain Sciences 31, no. 5: 559–575. https://doi.org/10.1017/s0140525x08005293
Juslin, Patrik N. and John A. Sloboda, eds. 2010. Handbook of Music and Emotion: Theory, Research, Applications. Oxford: Oxford University Press.
Jenson, David, Andrew L. Bowers, Daniel Hudock, and Tim Saltuklaroglu. 2020. “The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering.” Frontiers in Human Neuroscience 13. https://doi.org/10.3389/fnhum.2019.00458.
Koelsch, Stefan. 2005. “Neural Substrates of Processing Syntax and Semantics in Music.” Current Opinion in Neurobiology 15, no. 2: 207–212. https://doi.org/10.1016/j.conb.2005.03.005.
Lachat, Fanny, Laurent Hugueville, Jean-Didier Lemaréchal, Laurence Conty, and Nathalie George. 2012. “Oscillatory Brain Correlates of Live Joint Attention: A Dual-EEG Study.” Frontiers in Human Neuroscience 6. https://doi.org/10.3389/fnhum.2012.00156.
Leman, Marc. 2008. “Systematic Musicology at the Crossroads of Modern Music Research.” In Systematic and Comparative Musicology: Concepts, Methods, Findings, edited by Albrecht Schneider, 89–115. Hamburger Jahrbuch für Musikwissenschaft 24. Frankfurt am Main: Peter Lang.
Leman, Marc and Pieter-Jan Maes. 2014. “The Role of Embodiment in the Perception of Music.” Empirical Musicology Review 9 (3–4): 236–246.
Leman, Marc, Pieter-Jan Maes, and Micheline Lesaffre. 2017. “What Is Embodied Music Interaction?” In The Routledge Companion to Embodied Music Interaction, 1–10. London: Routledge.
Lindenberger, Ulman, Shu-Chen Li, Walter Gruber, and Viktor Müller. 2009. “Brains Swinging in Concert: Cortical Phase Synchronization while Playing Guitar.” BMC Neuroscience 10, no. 1: 22. https://doi.org/10.1186/1471-2202-10 22.
Maskeliunas, Rytis, Robertas Damasevicius, Ignas Martisius and Mindaugas Vasiljevas. 2016. “Consumer-Grade EEG Devices: Are They Usable for Control Tasks?” PeerJ 4: e1746. https://doi.org/10.7717/peerj.1746.
Miranda, Eduardo R. and Julien Castet, eds. 2014. Guide to Brain–Computer Music Interfacing. London: Springer.
Peretz, Isabelle and Robert J. Zatorre. 2005. “Brain Organization for Music Processing.” Annual Review of Psychology 56: 89–114. https://doi.org/10.1146/annurev.psych.56.091103.070225.
Pousson, Jachin E., Aleksandras Voicikas, Valdis Bernhofs, Evaldas Pipinis, Lana Burmistrova, Yuan-Pin Lin, and Inga Griškova-Bulanova. 2021. “Spectral Characteristics of EEG during Active Emotional Musical Performance.” Sensors 21: 7466. https://doi.org/10.3390/s21227466.
Pousson, Jachin E., Yi-Wei Shen, Yuan-Pin Lin, Aleksandras Voicikas, Evaldas Pipinis, Valdis Bernhofs, Lana Burmistrova, and Inga Griškova-Bulanova. 2023. “Exploring Spatio-Spectral Electroencephalogram Modulations of Imbuing Emotional Intent during Active Piano Playing.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 31: 4347–4356. https://doi.org/10.1109/TNSRE.2023.3327740.
Russell, James A. 1980. “A Circumplex Model of Affect.” Journal of Personality and Social Psychology 39, no. 6: 1161–1178.
Sänger, Johanna, Viktor Müller, and Ulman Lindenberger. 2012. “Intra- and interbrain synchronization and network properties when playing guitar in duets.” Frontiers in Human Neuroscience, 6. https://doi.org/10.3389/fnhum.2012.00312
Sänger, Johanna, Viktor Müller, and Ulman Lindenberger. 2013. “Directionality in Hyperbrain Networks Discriminates between Leaders and Followers in Guitar Duets.” Frontiers in Human Neuroscience 7. https://doi.org/10.3389/fnhum.2013.00234.
Teplan, Michal. 2002. “Fundamentals of EEG Measurement.” Measurement Science Review 2: 1–11.
Zatorre, Robert J. 2001. “Neural Specializations for Tonal Processing.” Annals of the New York Academy of Sciences 930, no. 1: 193–210. https://doi.org/10.1111/j.1749-6632.2001.tb05734.x.
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