Dergiler / Konservatoryum / 2026 / Cilt: 13 Sayı: 1

Müziğin Nöral Yankıları: Müzikal Duyguların Nörobilimsel Temsili

Neural Echoes Of Music: Neuroscientific Insights Into Musical Emotions

Sayfa
421–432
Yayın Tarihi
2026-06-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗

Özet

Müzikal duygular, son yıllarda artan sayıda nörobilim araştırmasına konu olmakla birlikte, alandaki bulgular çoğu zaman farklı yöntemler ve parçalı kavramsal çerçeveler içinde sunulmaktadır. Bu çalışma, söz konusu literatürü nörofizyolojik ritimler, fonksiyonel ağlar, anatomik yapılar, klinik yansımalar, davranışsal etkiler ve bireysel farklılıklar başlıkları altında ele alarak müzikal duyguların sinirsel temsiline ilişkin bütüncül bir değerlendirme sunmayı amaçlamaktadır. Nörogörüntüleme, davranışsal ve kuramsal çalışmalar anlatı temelli derleme yöntemiyle incelenmiş, farklı yöntemlerden elde edilen bulgular ortak bir kavramsal çerçevede yeniden yorumlanmıştır. İncelenen araştırmalar, müziğe verilen duygusal yanıtların işitsel sistem, limbik yapılar, prefrontal bölgeler ve ödül devreleri arasındaki etkileşimlerle ilişkili olduğunu göstermektedir. Ayrıca bellek, beklenti, dikkat ve bireysel yaşantıların yanı sıra kültürel çevre ile kişisel farklılıkların da bu süreci biçimlendirebildiği görülmektedir. Bu çerçevede müzikal duyguların, biyolojik ve psikolojik süreçlerin kesişiminde ortaya çıkan çok katmanlı deneyimler olarak değerlendirilebileceği anlaşılmaktadır. Buna göre derleme, müzikal duyguların tekil bir merkezle açıklanmasından çok, çoklu sinir sistemlerini birlikte ele alan multimodal yaklaşımlarla daha tutarlı biçimde incelenebileceğini önermektedir.

Abstract

Musical emotions have become the subject of an increasing number of neuroscience studies in recent years, yet findings in the field are often presented through different methods and fragmented conceptual frameworks. This study aims to provide an integrated evaluation of the neural representation of musical emotions by examining the relevant literature under the headings of neurophysiological rhythms, functional networks, anatomical structures, clinical implications, behavioral effects, and individual differences. Neuroimaging, behavioral, and theoretical studies were reviewed through a narrative review approach, and findings obtained from different methods were reinterpreted within a shared conceptual framework. The reviewed studies indicate that emotional responses to music are associated with interactions among the auditory system, limbic structures, prefrontal regions, and reward circuits. In addition, memory, expectation, attention, individual life experiences, as well as cultural context and personal differences, appear to shape this process. Within this framework, musical emotions may be regarded as multilayered experiences emerging at the intersection of biological and psychological processes. Accordingly, this review suggests that musical emotions may be examined more coherently through multimodal approaches that consider multiple neural systems together, rather than through explanations based on a single center.

Anahtar kelimeler
🔖

Bu Makaleye Atıf Yap

Kırış, O. B. (2026). Müziğin Nöral Yankıları: Müzikal Duyguların Nörobilimsel Temsili. Konservatoryum, Cilt: 13 Sayı: 1, 421–432. https://doi.org/10.26650/CONS2026-1860468

📄 Tam Metin PDF Okuyucu

↗Yeni Sekme

PDF belgesi yükleniyor...

Kaynakça (39)

  1. Ara, A., & Marco-Pallarés, J. (2020). Fronto-temporal theta phase-synchronization underlies music-evoked pleasantness. NeuroImage, 212, 116665. https://doi.org/10.1016/j.neuroimage.2020.116665 google scholar
  2. Ara, A., & Marco-Pallarés, J. (2021). Different theta connectivity patterns underlie pleasantness evoked by familiar and unfamiliar music. Scientific Reports, 11, 18523. https://doi.org/10.1038/s41598-021-98033-5 google scholar
  3. Blood, A. J., & Zatorre, R. J. (2001). Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proceedings of the National Academy of Sciences, 98(20), 11818–11823. https://doi.org/10.1073/pnas.191355898 google scholar
  4. Brown, S., Martinez, M. J., & Parsons, L. M. (2004). Passive music listening spontaneously engages limbic and paralimbic systems. NeuroReport, 15(13), 2033–2037. https://doi.org/10.1097/00001756-200409150-00008 google scholar
  5. Chabin, T., Gabriel, D., Chansophonkul, T., Michelant, L., Joucla, C., Haffen, E., … Pazart, L. (2020). Cortical patterns of pleasurable musical chills revealed by high-density EEG. Frontiers in Neuroscience, 14, 565815. https://doi.org/10.3389/fnins.2020.565815 google scholar
  6. Chatterjee, D., Hegde, S., & Thaut, M. (2021). Neural plasticity: The substratum of music-based interventions in neurorehabilitation. NeuroRehabilitation, 48(2), 155–166. https://doi.org/10.3233/NRE-208011 google scholar
  7. Chen, J. L., Penhune, V. B., & Zatorre, R. J. (2008). Listening to musical rhythms recruits motor regions of the brain. Cerebral Cortex, 18(12), 2844–2854. https://doi.org/10.1093/cercor/bhn042 google scholar
  8. Çaylı, F. (2023). Müzikte tekrarın icrası: Performansla yaratılan bilişsel ve estetik etkiler. Konservatoryum, 10(2), 72–82. https://doi.org/10.26650/CONS2023-1358070 google scholar
  9. Erdal, B., & Tepe, Y. K. (2021). Bireylerin duygu durum, içedönük-dışadönük kişilik özelliği ve müzik tercihleri arasındaki ilişkiler. Psikoloji Çalışmaları, 41(2), 549–580. https://doi.org/10.26650/SP2021-852069 google scholar
  10. Gabrielsson, A. (2011). Strong experiences with music: Music is much more than just music. Oxford University Press. google scholar
  11. Gkintoni, E., Aroutzidis, A., Antonopoulou, H., & Halkiopoulos, C. (2025). From neural networks to emotional networks: A systematic review of EEG-based emotion recognition in cognitive neuroscience and real-world applications. Brain Sciences, 15(3), 220. https://doi.org/10.3390/brainsci15030220 google scholar
  12. Grahn, J. A., & Brett, M. (2007). Rhythm and beat perception in motor areas of the brain. Journal of Cognitive Neuroscience, 19(5), 893–906. https://doi.org/10.1162/jocn.2007.19.5.893 google scholar
  13. Green, A. C., Bærentsen, K. B., Stødkilde-Jørgensen, H., Wallentin, M., Roepstorff, A., & Vuust, P. (2008). Music in minor activates limbic structures: A relationship with dissonance? NeuroReport, 19(7), 711–715. https://doi.org/10.1097/WNR.0b013e3282fd0dd8 google scholar
  14. Hennessy, S., Janata, P., Ginsberg, T., Kaplan, J., & Habibi, A. (2025). Music-evoked nostalgia activates default mode and reward networks across the lifespan. Human Brain Mapping, 46(4), e70181. https://doi.org/10.1002/hbm.70181 google scholar
  15. Jafari, M., Shoeibi, A., Khodatars, M., Bagherzadeh, S., Shalbaf, A., García, D. L., Gorriz, J. M., & Acharya, U. R. (2023). Emotion recognition in EEG signals using deep learning methods: A review. Computers in Biology and Medicine, 165, 107450. https://doi.org/10.1016/j.compbiomed.2023.107450 google scholar
  16. Juslin, P. N., & Västfjäll, D. (2008). Emotional responses to music: The need to consider underlying mechanisms. Behavioral and Brain Sciences, 31(5), 559–575. https://doi.org/10.1017/S0140525X08005293 google scholar
  17. Karşıcı, G. (2014). Müzik beğenisinde kültürel etkenler: Bir fMRI çalışması. Gece Kitaplığı. google scholar
  18. Koelsch, S., Fritz, T., v. Cramon, D. Y., Müller, K., & Friederici, A. D. (2006). Investigating emotion with music: An fMRI study. Human Brain Mapping, 27(3), 239–250. https://doi.org/10.1002/hbm.20180 google scholar
  19. Koelsch, S. (2014). Brain correlates of music-evoked emotions. Nature Reviews Neuroscience, 15(3), 170–180. https://doi.org/10.1038/nrn3666 google scholar
  20. Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869–878. https://doi.org/10.1038/nature06976 google scholar
  21. Malekmohammadi, A., & Cheng, G. (2025). Music familiarization elicits functional connectivity between right frontal/temporal and parietal areas in the theta and alpha bands. Brain Topography, 38(1). https://doi.org/10.1007/s10548-024-01081-z google scholar
  22. McDermott, H. J. (2004). Music perception with cochlear implants: A review. Trends in Amplification, 8(2), 49–82. https://doi.org/10.1177/108471380400800203 google scholar
  23. McDermott, J. H., Schultz, A. F., Undurraga, E. A., & Godoy, R. A. (2016). Indifference to dissonance in native Amazonians reveals cultural variation in music perception. Nature, 535(7613), 547–550. https://doi.org/10.1038/nature18635 google scholar
  24. Menon, V., & Levitin, D. J. (2005). The rewards of music listening: Response and physiological connectivity of the mesolimbic system. NeuroImage, 28(1), 175–184. https://doi.org/10.1016/j.neuroimage.2005.05.053 google scholar
  25. Meyer, L. B. (1956). Emotion and meaning in music. University of Chicago Press. google scholar
  26. Niedermeyer, E., & Lopes da Silva, F. H. (Eds.). (1993). Electroencephalography: Basic principles, clinical applications and related fields (3rd ed.). Williams & Wilkins. google scholar
  27. Pinti, P., Tachtsidis, I., Hamilton, A., Hirsch, J., Aichelburg, C., Gilbert, S., & Burgess, P. W. (2020). The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 1464(1), 5–29. https://doi.org/10.1111/nyas.13948 google scholar
  28. Ren, H., Jiang, X., Meng, L., Lu, C., Wang, L., Dai, C., & Chen, W. (2022). fNIRS-based dynamic functional connectivity reveals the innate musical sensing brain networks in preterm infants. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1806–1816. https://doi.org/10.1109/TNSRE.2022.3178078 google scholar
  29. Reybrouck, M., Vuust, P., & Brattico, E. (2021). Neural correlates of music listening: Does the music matter? Brain Sciences, 11(12), 1553. https://doi.org/10.3390/brainsci11121553 google scholar
  30. Teplan, M. (2002). Fundamentals of EEG measurement. Measurement Science Review, 2(2), 1–11. google scholar
  31. Toader, C., Tataru, C. P., Florian, I. A., Covache-Busuioc, R. A., Bratu, B. G., Glavan, L. A., & Ciurea, A. V. (2023). Cognitive crescendo: How music shapes the brain’s structure and function. Brain Sciences, 13(10), 1390. https://doi.org/10.3390/brainsci13101390 google scholar
  32. Torun, Ş. (2018). Nörolojik hastalıklarda müzik terapi ve müzik uygulamaları. In F. Mutluay (Ed.), Nörolojik hastalıklarda fizyoterapi ve rehabilitasyon (s. 71–78). Türkiye Klinikleri. google scholar
  33. Trost, W., Ethofer, T., Zentner, M., & Vuilleumier, P. (2012). Mapping aesthetic musical emotions in the brain. Cerebral Cortex, 22(12), 2769–2783. https://doi.org/10.1093/cercor/bhr353 google scholar
  34. Türk, Ç., Köseoğlu, A., & Zeren, S. (2021). İşitme kayıplı bireylerde müzik algısı. Istanbul Gelisim University Journal of Health Sciences, (14), 403–419. https://doi.org/10.38079/igusabder.947027 google scholar
  35. Uğraş, G. A., Yıldırım, G., Yüksel, S., Öztürkçü, Y., & Öztekin, S. D. (2018). The effect of different types of music on patients' preoperative anxiety: A randomized controlled trial. Complementary Therapies in Clinical Practice, 31, 158–163. https://doi.org/10.1016/j.ctcp.2018.02.012 google scholar
  36. Wang, X., Liu, W., Wang, X., Mu, Z., Xu, J., Chang, Y., & Cong, F. (2021). Shared and unshared feature extraction in major depression during music listening using constrained tensor factorization. Frontiers in Human Neuroscience, 15, 799288. https://doi.org/10.3389/fnhum.2021.799288 google scholar
  37. Yang, Z., Su, Q., Xie, J., Su, H., Huang, T., Han, C., & Xu, G. (2025). Music tempo modulates emotional states as revealed through EEG insights. Scientific Reports, 15(1), 8276. https://doi.org/10.1038/s41598-025-92679-1 google scholar
  38. Zatorre, R. J., & Salimpoor, V. N. (2013). From perception to pleasure: Music and its neural substrates. Proceedings of the National Academy of Sciences, 110(Suppl. 2), 10430–10437. https://doi.org/10.1073/pnas.1301228110 google scholar
  39. Zhu, Y., Liu, J., & Cong, F. (2023). Dynamic community detection for brain functional networks during music listening with block component analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 2438–2447. https://doi.org/10.1109/TNSRE.2023.3277509 google scholar