An Investigation into Hemodynamic Activity in the Brain During Guitar Performance Using the fNIRS Method
Yıl 2025,
, 92 - 120, 30.06.2025
Şevki Özer Akçay
,
Fatih Ağduman
Öz
The goal of this study is to reveal the relationships between brain activation and the quality of guitarists' solo performances by using Functional Near-Infrared Spectroscopy (fNIRS). Students' brain hemodynamics were measured with fNIRS while playing the guitar, and there was an attempt to determine hemodynamic activity occurring in four different regions of the brain during the best and worst performances. Video recordings were taken during the students' performances, and their performance levels were evaluated using the Guitar Performance Rating Scale [GPRS]. The fNIRS data obtained during guitar performances was analyzed by comparing the hemodynamic (OxyHb) activity in different regions of the cerebral cortex. Also, following this, the t-values of the data were calculated through the MATLAB software, and were visualized in the form of a cerebral cortex heat map.As a result of the fNIRS measurements, it was observed that significant activations occurred in all regions of the participants' brains, and activity was recorded in the regions expected to be activated in tasks associated with music. Especially in the parietal region, it was determined that there was more OxyHb activity during the worst performances than during the best performances. The same situation was observed in the occipital region during the best performances. While intense OxyHb activity was seen in the right hemisphere in the prefrontal cortex region during the best performance, it was determined that the intensity of activity changed towards the left hemisphere during the worst performances. In the temporal cortex region, high OxyHb activity was detected in both hemispheres, although it was more intense and spread over a wider area in the right hemisphere during the best performances. During the worst performances, it was determined that while the activity area in both hemispheres remained the same, the intensity of OxyHb activity decreased.
Destekleyen Kurum
Atatürk University Scientific Research Projects Coordination Unit
Proje Numarası
SAB-2021-9047
Teşekkür
We would like to thank the Atatürk University Scientific Research Projects Coordination Unit for their support in conducting this project carried out at the Atatürk University Sports Sciences Application and Research Center.
Kaynakça
- Acquadro, Michaël A. S.; Congedo, Marco and De Riddeer, Dirk. (2016). “Music Performance As an Experimental Approach to Hyperscanning Studies”. Frontiers in Human Neuroscience, 10: 242. Retrieved from https://doi.org/10.3389/fnhum.2016.00242
- Akçay, Şevki Özer. (2011). “A Study of Developing Performance Scale in Guitar Education”. Master’s Thesis, Atatürk University, Erzurum: TÜRKİYE
- Akçay, Şevki Özer (2016). “Brain Functions During Guitar Performance”. International Music Symposium: Performance in Music. Göğüş Gülay and Varlı, Ersen (Eds.) (pp. 66-78). Uludağ University State Conservatory, Bursa, Türkiye.
- Akçay, Şevki Özer (2021). “Nöromüzikolojide Araştırma Yöntem ve Teknikleri (Research Methods and Techniques in Neuromusicology)”. Ankara: Nobel Bilimsel Publishing.
- Ata, Yasemin. (2015). “Musicican’s Brain and the Structural Differences in White/Grey Matters: A DT-MRI Study”. PhD. Dissertation, Dokuz Eylül University, Türkiye: İzmir.
- Baars, Bernard. J.; Gage, Nicole M. (2010). Cognition, Brain and Consciousness. Introduction to Cognitive Neuroscience. USA: Academic Press.
- Balardin, Joana Bisol; Morais, Guilherme Augusto Zimeo; Furucho, Rogerio Akira; Trambaiolli, Lucas Romualdo and Sato, Joao Ricardo. (2017). “Impact of Communucative Head Movements on the Quality of Functional Near-Infrared Spectroscopy Signals: Negligible Effects for Affirmative and Negative Gestures and Consistent Artifacts Related to Raising Eyebrows”. Journal of Biomedical Optics, 22(4): 46010. Retrieved from https://doi.org/10.1117/1.JBO.22.4.046010
- Baştuğ-Şen, Seba. (2022). Piyano Tekniğinin Biyomekanik Temeli. İstanbul: Pan Publications.
- Bozkır, Barbaros. (2009). “Musical Perception Differences in Professional Musicians: an fMRI Study”. PhD. Dissertation, Dokuz Eylül University, İzmir: TÜRKİYE
- Butler, Andrew J.; James, Thomas; Pavisian, Bennis and James, Karin H. (2021). “Neural differences in expert guitarists during over-learned non-standard visuomotor mapping of abstract versus concrete information”. Neuroscience Letters, 750: 135624. Retrieved from https://doi.org/10.1016/j.neulet.2021.135624
- Di Domenico, Stefano I.; Rodrigo, Achala H.; Dong, Mengxi; Fournier, Marc A.; Ayaz, Hasan; Ryan, Richard M. and Ruocco, Anthony C. (2019). “Functional Near-Infrared Spectroscopy: Proof of Concept for its Application in Social Neuroscince”. Neuroergonomics, the Brain at Work and in Everyday Life, Eds. Ayaz, Hasan, and Dehais, Frederich: pp. 169-173. USA: Elsevier Inc.
- Eagleman, David. (2021). Livewired (Zeynep Arık Tozar, Trans.) İstanbul: Domingo Publications. [Original work published 2020].
- Gaser, Christian; Schlaug, Gottfried. (2003). “Brain Structures Differ Between Musicians and Non-Musicians”. The Journal of Neuroscience, 23(27): 9240-9245.
- Hashimoto, Keiji; Tategami, Shoko; Okamoto, Tagatsuku; Seta, Hiroshi; Abo, Masahiro and Ohashi, Masahiro (2006). “Examination by Near-Infrared Spectroscopy for Evaluation of Piano Performance as a Frontal Lobe Activation Task”. European Neurology, 55(1): 16-21.
- Heinze, Rafael Alves; Vanzella, Patricia; Morais, Guilherme Augusto Zimeo and Sato, Joao Ricardo. (2019). “Hand Motor Learning in a Musical Context and Prefrontal Cortex Hemodynamic Response: A Functional Near-Infrared Spectroscopy (fNIRS) Study”. Cognitive Processing, 20: 507–513. Retrieved from https://doi.org/10.1007/s10339-019-00925-y
- Huppert, Theodore J.; Diamond, Solomon G.; Franceschini, Maria A. and Boas, David A. (2009). “HomER: a Review of Time-Series Analysis Methods for Near-Infrared Spectroscopy of the Brain”. Applied Optics, 48(10): D280-D298. Retrieved from https://doi.org/10.1364/ao.48.00d280
- Iwasaka, Masakazu; Ishii, Takuro; Uehara, Takao; Shimo, Madoka; Agehara, Sachiko and Sugita, Katsuo. (2007). “Cerebral Blood Flow Patterns Synchronization with Time Sequences of Music”. Proceedings of the 23rd Annual Meeting of the International Society for Psychophysics. S. Mori, T. Miyaoka, & W. Wong, (Eds.). Tokyo, Japan.
- İnal, Şayeste Çağıl (2019). “Effect of Music Performance on Cognitive Functions and its Relation with BDNF val66met and COMT val158met Polymorphisms”. Master’s Thesis, Ankara University, Ankara: TÜRKİYE.
- Kashou, Nasser H.; Giacherio, Brenna M.; Nahhas, Ramzi W. and Jadcherla, Sudarshan R. (2016). “Hand-grasping and Finger Tapping Induced Similar Functional Near-Infrared Spectroscopy Cortical Responses”. Neurophotonics, 3(2): 1-9. Retrieved from https://doi.org/10.1117/1.NPh.3.2.025006
- Levitin, Daniel J. (2013). “Neural Correlates of Musical Behaviors, A Brief Overview”. Music Therapy Perspectives, (31): 15-24.
- Levitin, Daniel J. (2015). This is Your Brain on Music. (Sinan Çulhaoğlu, Trans.) İstanbul: Pegasus Publications.
- Matsuo, Ayako; Akita, Takeshi and Sano, Naoko (2016). “A research on Understanding of Piano Players’ Perception of Sonic Environment and Control of Performance Through Brain Function Analysis and Interview”. Proceedings of the 22nd International Congress on Acoustics, Miyara, Federico; Accolti, Ernesto; Pasch, Vivian and Vechiatti (Eds.), (pp. 1-9). Buenos Aires, Argentina.
- Meister, Ingo Gerrit; Krings, Timo; Foltys, Henrik; Boroojerdi, Babak; Müller, Mareike Töpper, Rudolf F. and Thron, Armin K. (2004). “Playing Piano in the Mind—an fMRI Study on Music Imagery and Performance in Pianists”. Cognitive Brain Research, 19(3): 219-228. Retrieved from https://doi.org/10.1016/j.cogbrainres.2003.12.005
- Moghimi, Saba; Kushki, Azadeh; Power, Sarah; Guerguerian, Anne Marie and Chau, Tom (2012). “Automatic Detection of a Prefrontal Cortical Response to Emotionally Rated Music Using Multi-Channel Near-Infrared Spectroscopy”. Journal of Neural Engineering, 9(2): 1-8. Retrieved from https://doi.org/10.1088/1741-2560/9/2/026022
- Power, Sarah D.; Falk, Tiago H. and Chau, Tom (2010). “Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy”. Joural of Neural Engineering, 7(2): 1-9. Retrieved from https://doi.org/10.1088/1741-2560/7/2/026002
- Prychitko, Sonja J. (2017). “A NIRS Study of Violonists And Pianists Employing Motor and Music Imageries to Assess Neural Differences in Music Perception”. Master’s Thesis, Northern Michigan University, Michigan: USA.
- Reybrouck, Mark; Vuust; Peter and Brattico, Elvira (2018). “Brain Connectivity Networks and the Aesthetic Experience of Music”. Brain Sciences, 8(6): 107. Retrieved from https://doi.org/10.3390/brainsci8060107
- Saari, Pasi; Burunat, Iballa; Brattico, Elvira and Toivianien, Petri (2018). “Decoding Musical Training from Dynamic Processing of Musical Features in the Brain”. Scientific Reports, (8): 708. Retrieved from https://doi.org/10.1038/s41598-018-19177-5
- Sachs, Matthew E.; Ellis, Robert J.; Schlaug, Gottfried and Loui, Psyche (2016). “Brain Connectivity Reflects Human Aesthetic Responses to Music”. Social Cognitive and Affective Neuroscience, 11(6): 884-891. Retrieved from https://doi.org/10.1093/scan/nsw009
- Schlaug, Gottfried (2015). “Musicians and music making as a model for the study of brain plastcity”. Progress in Brain Research, 217: 37-55. Retrieved from http://dx.doi.org/10.1016/bs.pbr.2014.11.020
- Tanaka, Yuki; Nogawa, Hiroki (2015). “Evaluating the effects of singing songs in ethnic music therapy for dementia patients with a novel near-infrared spectroscopy (data analysing method)”. International Journal of Gerontology, 9(1): 7-14. Retrieved from http://dx.doi.org/10.1016/j.ijge.2014.01.006
- Torun, Şükrü. (2016). “Müziğin beynimizdeki yolculuğu (The Journey of Music in our Brain)”. Osmangazi Journal of Medicine 38 (Special Issue): 66-70. Retrieved from https://dergipark.org.tr/tr/pub/otd/issue/20472/218035
- Vanzela, Patricia; Balardin, Joana B.; Furucho, Rogério A.; Morais, Guilherme Augusto Zimeo; Janzen, Thenille Braun; Sammler, Daniela and Sato, João R. (2019). “fNIRS Responses in Professional Violinists while Playing Duets: Evidence for Distinct Leader and Follower Roles at the Brain Level”. Frontiers in Psychology, 10(164): 1-9. Retrieved from https://doi.org/10.3389/fpsyg.2019.00164
- Villringer, Arno; Chance, Britton (1997). “Non-invasive Optical Spectroscopy and Imaging of Human Brain Function”. Trends Neurosci. (20): 435-442.
- Wakatsuki, Junichiro; Akashi, Kazuhiro and Uozumi, Takashi (2009). “Changes in concentration of oxygenated hemoglobin in the prefrontal cortex while absorbed in listening to music”. International Conference on Biometrics and Kansei Engineering, (pp. 195-200).
- Yağışan, Nihan (2008). Keman Çalmanın Biomekanik Analizi (Boimechanic Analaysis of Playing Violin). Konya: Eğitim Kitabevi Publications.
Yıl 2025,
, 92 - 120, 30.06.2025
Şevki Özer Akçay
,
Fatih Ağduman
Proje Numarası
SAB-2021-9047
Kaynakça
- Acquadro, Michaël A. S.; Congedo, Marco and De Riddeer, Dirk. (2016). “Music Performance As an Experimental Approach to Hyperscanning Studies”. Frontiers in Human Neuroscience, 10: 242. Retrieved from https://doi.org/10.3389/fnhum.2016.00242
- Akçay, Şevki Özer. (2011). “A Study of Developing Performance Scale in Guitar Education”. Master’s Thesis, Atatürk University, Erzurum: TÜRKİYE
- Akçay, Şevki Özer (2016). “Brain Functions During Guitar Performance”. International Music Symposium: Performance in Music. Göğüş Gülay and Varlı, Ersen (Eds.) (pp. 66-78). Uludağ University State Conservatory, Bursa, Türkiye.
- Akçay, Şevki Özer (2021). “Nöromüzikolojide Araştırma Yöntem ve Teknikleri (Research Methods and Techniques in Neuromusicology)”. Ankara: Nobel Bilimsel Publishing.
- Ata, Yasemin. (2015). “Musicican’s Brain and the Structural Differences in White/Grey Matters: A DT-MRI Study”. PhD. Dissertation, Dokuz Eylül University, Türkiye: İzmir.
- Baars, Bernard. J.; Gage, Nicole M. (2010). Cognition, Brain and Consciousness. Introduction to Cognitive Neuroscience. USA: Academic Press.
- Balardin, Joana Bisol; Morais, Guilherme Augusto Zimeo; Furucho, Rogerio Akira; Trambaiolli, Lucas Romualdo and Sato, Joao Ricardo. (2017). “Impact of Communucative Head Movements on the Quality of Functional Near-Infrared Spectroscopy Signals: Negligible Effects for Affirmative and Negative Gestures and Consistent Artifacts Related to Raising Eyebrows”. Journal of Biomedical Optics, 22(4): 46010. Retrieved from https://doi.org/10.1117/1.JBO.22.4.046010
- Baştuğ-Şen, Seba. (2022). Piyano Tekniğinin Biyomekanik Temeli. İstanbul: Pan Publications.
- Bozkır, Barbaros. (2009). “Musical Perception Differences in Professional Musicians: an fMRI Study”. PhD. Dissertation, Dokuz Eylül University, İzmir: TÜRKİYE
- Butler, Andrew J.; James, Thomas; Pavisian, Bennis and James, Karin H. (2021). “Neural differences in expert guitarists during over-learned non-standard visuomotor mapping of abstract versus concrete information”. Neuroscience Letters, 750: 135624. Retrieved from https://doi.org/10.1016/j.neulet.2021.135624
- Di Domenico, Stefano I.; Rodrigo, Achala H.; Dong, Mengxi; Fournier, Marc A.; Ayaz, Hasan; Ryan, Richard M. and Ruocco, Anthony C. (2019). “Functional Near-Infrared Spectroscopy: Proof of Concept for its Application in Social Neuroscince”. Neuroergonomics, the Brain at Work and in Everyday Life, Eds. Ayaz, Hasan, and Dehais, Frederich: pp. 169-173. USA: Elsevier Inc.
- Eagleman, David. (2021). Livewired (Zeynep Arık Tozar, Trans.) İstanbul: Domingo Publications. [Original work published 2020].
- Gaser, Christian; Schlaug, Gottfried. (2003). “Brain Structures Differ Between Musicians and Non-Musicians”. The Journal of Neuroscience, 23(27): 9240-9245.
- Hashimoto, Keiji; Tategami, Shoko; Okamoto, Tagatsuku; Seta, Hiroshi; Abo, Masahiro and Ohashi, Masahiro (2006). “Examination by Near-Infrared Spectroscopy for Evaluation of Piano Performance as a Frontal Lobe Activation Task”. European Neurology, 55(1): 16-21.
- Heinze, Rafael Alves; Vanzella, Patricia; Morais, Guilherme Augusto Zimeo and Sato, Joao Ricardo. (2019). “Hand Motor Learning in a Musical Context and Prefrontal Cortex Hemodynamic Response: A Functional Near-Infrared Spectroscopy (fNIRS) Study”. Cognitive Processing, 20: 507–513. Retrieved from https://doi.org/10.1007/s10339-019-00925-y
- Huppert, Theodore J.; Diamond, Solomon G.; Franceschini, Maria A. and Boas, David A. (2009). “HomER: a Review of Time-Series Analysis Methods for Near-Infrared Spectroscopy of the Brain”. Applied Optics, 48(10): D280-D298. Retrieved from https://doi.org/10.1364/ao.48.00d280
- Iwasaka, Masakazu; Ishii, Takuro; Uehara, Takao; Shimo, Madoka; Agehara, Sachiko and Sugita, Katsuo. (2007). “Cerebral Blood Flow Patterns Synchronization with Time Sequences of Music”. Proceedings of the 23rd Annual Meeting of the International Society for Psychophysics. S. Mori, T. Miyaoka, & W. Wong, (Eds.). Tokyo, Japan.
- İnal, Şayeste Çağıl (2019). “Effect of Music Performance on Cognitive Functions and its Relation with BDNF val66met and COMT val158met Polymorphisms”. Master’s Thesis, Ankara University, Ankara: TÜRKİYE.
- Kashou, Nasser H.; Giacherio, Brenna M.; Nahhas, Ramzi W. and Jadcherla, Sudarshan R. (2016). “Hand-grasping and Finger Tapping Induced Similar Functional Near-Infrared Spectroscopy Cortical Responses”. Neurophotonics, 3(2): 1-9. Retrieved from https://doi.org/10.1117/1.NPh.3.2.025006
- Levitin, Daniel J. (2013). “Neural Correlates of Musical Behaviors, A Brief Overview”. Music Therapy Perspectives, (31): 15-24.
- Levitin, Daniel J. (2015). This is Your Brain on Music. (Sinan Çulhaoğlu, Trans.) İstanbul: Pegasus Publications.
- Matsuo, Ayako; Akita, Takeshi and Sano, Naoko (2016). “A research on Understanding of Piano Players’ Perception of Sonic Environment and Control of Performance Through Brain Function Analysis and Interview”. Proceedings of the 22nd International Congress on Acoustics, Miyara, Federico; Accolti, Ernesto; Pasch, Vivian and Vechiatti (Eds.), (pp. 1-9). Buenos Aires, Argentina.
- Meister, Ingo Gerrit; Krings, Timo; Foltys, Henrik; Boroojerdi, Babak; Müller, Mareike Töpper, Rudolf F. and Thron, Armin K. (2004). “Playing Piano in the Mind—an fMRI Study on Music Imagery and Performance in Pianists”. Cognitive Brain Research, 19(3): 219-228. Retrieved from https://doi.org/10.1016/j.cogbrainres.2003.12.005
- Moghimi, Saba; Kushki, Azadeh; Power, Sarah; Guerguerian, Anne Marie and Chau, Tom (2012). “Automatic Detection of a Prefrontal Cortical Response to Emotionally Rated Music Using Multi-Channel Near-Infrared Spectroscopy”. Journal of Neural Engineering, 9(2): 1-8. Retrieved from https://doi.org/10.1088/1741-2560/9/2/026022
- Power, Sarah D.; Falk, Tiago H. and Chau, Tom (2010). “Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy”. Joural of Neural Engineering, 7(2): 1-9. Retrieved from https://doi.org/10.1088/1741-2560/7/2/026002
- Prychitko, Sonja J. (2017). “A NIRS Study of Violonists And Pianists Employing Motor and Music Imageries to Assess Neural Differences in Music Perception”. Master’s Thesis, Northern Michigan University, Michigan: USA.
- Reybrouck, Mark; Vuust; Peter and Brattico, Elvira (2018). “Brain Connectivity Networks and the Aesthetic Experience of Music”. Brain Sciences, 8(6): 107. Retrieved from https://doi.org/10.3390/brainsci8060107
- Saari, Pasi; Burunat, Iballa; Brattico, Elvira and Toivianien, Petri (2018). “Decoding Musical Training from Dynamic Processing of Musical Features in the Brain”. Scientific Reports, (8): 708. Retrieved from https://doi.org/10.1038/s41598-018-19177-5
- Sachs, Matthew E.; Ellis, Robert J.; Schlaug, Gottfried and Loui, Psyche (2016). “Brain Connectivity Reflects Human Aesthetic Responses to Music”. Social Cognitive and Affective Neuroscience, 11(6): 884-891. Retrieved from https://doi.org/10.1093/scan/nsw009
- Schlaug, Gottfried (2015). “Musicians and music making as a model for the study of brain plastcity”. Progress in Brain Research, 217: 37-55. Retrieved from http://dx.doi.org/10.1016/bs.pbr.2014.11.020
- Tanaka, Yuki; Nogawa, Hiroki (2015). “Evaluating the effects of singing songs in ethnic music therapy for dementia patients with a novel near-infrared spectroscopy (data analysing method)”. International Journal of Gerontology, 9(1): 7-14. Retrieved from http://dx.doi.org/10.1016/j.ijge.2014.01.006
- Torun, Şükrü. (2016). “Müziğin beynimizdeki yolculuğu (The Journey of Music in our Brain)”. Osmangazi Journal of Medicine 38 (Special Issue): 66-70. Retrieved from https://dergipark.org.tr/tr/pub/otd/issue/20472/218035
- Vanzela, Patricia; Balardin, Joana B.; Furucho, Rogério A.; Morais, Guilherme Augusto Zimeo; Janzen, Thenille Braun; Sammler, Daniela and Sato, João R. (2019). “fNIRS Responses in Professional Violinists while Playing Duets: Evidence for Distinct Leader and Follower Roles at the Brain Level”. Frontiers in Psychology, 10(164): 1-9. Retrieved from https://doi.org/10.3389/fpsyg.2019.00164
- Villringer, Arno; Chance, Britton (1997). “Non-invasive Optical Spectroscopy and Imaging of Human Brain Function”. Trends Neurosci. (20): 435-442.
- Wakatsuki, Junichiro; Akashi, Kazuhiro and Uozumi, Takashi (2009). “Changes in concentration of oxygenated hemoglobin in the prefrontal cortex while absorbed in listening to music”. International Conference on Biometrics and Kansei Engineering, (pp. 195-200).
- Yağışan, Nihan (2008). Keman Çalmanın Biomekanik Analizi (Boimechanic Analaysis of Playing Violin). Konya: Eğitim Kitabevi Publications.