Skip to main content
Log in

Brain connectivity dynamics during listening to music and potential impact on task performance

  • Research Article
  • Published:
Cognitive Neurodynamics Aims and scope Submit manuscript

Abstract

To analyze brain connectivity dynamics during listening to music and estimate the potential impact on task performance. Fifteen participants (13 males and 2 females) participated in this study based on their interest in Indian classical music. Measurements of the influence of Indian music on task performance were obtained by assessing brain activation using EEG signals. Brain connectivity analysis was performed to visualize the connections between brain regions under various experimental conditions. Visual Go/No Go Stimuli was used to evaluate visual spatial attention during operation by evaluating misses, committed errors, and reaction times. In Task 1 (listening to music only), it was reported that there was a change in the positions of the electrodes (F3, F7) located in the left frontal lobe. The energy of the relative beta component was significantly higher only at F7 during task 1 (p = 0.005). Event-related desynchronization alpha and theta synchronization were significant (p = 0.005) at all electrode sites in the bilateral frontal lobes (F3, F4, F7 and F8) while listening to music and performing tasks (task 2). When the task without music (task 3) was performed, the energy of the relative alpha component was significantly higher at the Fp2 electrode position (p = 0.005). It is noteworthy that the energy of the theta component was significantly lower at the location of the Fp2 electrode (p = 0.005). The frontal asymmetry index score measures were significantly high at F4/F3 and F8/F7 during task 1. The connectivity map of theta synchronization showed a robust association between Fp2 and F8 which was in turn connected to P4 and O2 during Task 2. Results indicated an increased omission and commission errors during Task 3.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Al-Shargie F, Kiguchi M, Badruddin N, Dass SC, Hani AFM, Tang TB (2016) Mental stress assessment using simultaneous measurement of EEG and fNIRS. Biomed Opt Express 7(10):3882–3898

    Article  PubMed  PubMed Central  Google Scholar 

  • Arnulfo G, Wang SH, Myrov V, Toselli B, Hirvonen J, Fato MM, Palva JM (2020) Long-range phase synchronization of high-frequency oscillations in human cortex. Nat Commun 11(1):1–15

    Article  Google Scholar 

  • Balasubramanian G, Kanagasabai A, Mohan J, Seshadri NG (2018) Music induced emotion using wavelet packet decomposition—an EEG study. Biomed Signal Process Control 42:115–128

    Article  Google Scholar 

  • Balkwill LL, Thompson WF, Matsunaga R (2004) Recognition of emotion in Japanese, Western, and Hindustani music by Japanese listeners, Japanese. Psychol Res 46:337–349

    Google Scholar 

  • Bidelman GM (2013) The role of the auditory brainstem in processing musically relevant pitch. Front Psychol 4:1–13

    Article  Google Scholar 

  • Bottiroli S, Rosi A, Russo R, Vecchi T, Cavallini E (2014) The cognitive effects of listening to background music on older adults: processing speed improves with upbeat music, while memory seems to benefit from both upbeat and downbeat music. Front Aging Neurosci 6(284):1–7

    Google Scholar 

  • Bradley MM, Lang PJ (1994) Measuring emotion: the self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatr 25(1):49–59

    Article  CAS  Google Scholar 

  • Bringas ML, Zaldivar M, Rojas PA, Martinez-Montes K, Chongo DM, Ortega MA, Valdes-Sosa PA (2015) Effectiveness of music therapy as an aid to neurorestoration of children with severe neurological disorders. Front Neurosci 9:427. https://doi.org/10.3389/fnins.2015.00427

    Article  PubMed  PubMed Central  Google Scholar 

  • Coan JA, Allen JJ (2004) Frontal EEG asymmetry as a moderator and mediator of emotion. Biol Psychol 67(1–2):7–50

    Article  PubMed  Google Scholar 

  • Crawford JR, Henry JD (2014) The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol 43(3):245

    Article  Google Scholar 

  • Ferdous J, Ali S, Hamid E, Molla KI (2021) Sub-band selection approach to artifact suppression from electroencephalography signal using hybrid wavelet transform. Int J Adv Rob Syst 18(1):1–16

    Google Scholar 

  • Feudjio C, Noyum VD, Mofendjou YP, Fokoué E (2021) A novel use of discrete wavelet transform features in the prediction of epileptic seizures from EEG Data. arXiv preprint arXiv:2102.01647.

  • Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198

    Article  CAS  PubMed  Google Scholar 

  • Fujioka T, Ross B, Trainor LJ (2015) Beta-band oscillations represent auditory beat and its metrical hierarchy in perception and imagery. J Neurosci 35(45):15187–15198

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Geethanjali B, Adalarasu K, Jagannath M, Rajasekaran R (2016) Enhancement of task performance aided by music. Curr Sci 111:1794–1801

    Article  Google Scholar 

  • Geethanjali B, Adalarasu K, Jagannath M, Seshadri NG (2018) Music-induced brain functional connectivity using EEG sensors: a study on Indian music. IEEE Sens J 19(4):1499–1507

    Article  Google Scholar 

  • Gomez P, Ratcliff R, Perea M (2007) A model of the go/no-go task. J Exp Psychol Gen 136:389–413

    Article  PubMed  PubMed Central  Google Scholar 

  • Jawabri KH, Sharma S (2019) Physiology, cerebral cortex functions. StatPearls

  • Jensen O, Tesche CD (2000) Frontal theta activity in humans increases with memory load in a working memory task. Eur J Neurosci 15(8):1395–1399

    Article  Google Scholar 

  • Kalinowska A, Kułakowska A, Kułak W, Okurowska-Zawada B (2013) Effects of classical and heavy metal music on the cardiovascular system and brain activity in healthy students. Neurol Dziec Rep 22(44):17–22

    Google Scholar 

  • Kaminski M, Blinowska KJ (2018) Is graph theoretical analysis a useful tool for quantification of connectivity obtained by means of EEG/MEG techniques? Front Neural Circuits 12(76):1–5

    Google Scholar 

  • Karamacoska D, Barry RJ, Steiner GZ, Coleman EP, Wilson EJ (2018) Intrinsic EEG and task-related changes in EEG affect Go/NoGo task performance. Int J Psychophysiol 125:17–28

    Article  PubMed  Google Scholar 

  • Kawasaki M, Kitajo K, Yamaguchi Y (2014) Fronto-parietal and fronto-temporal theta phase synchronization for visual and auditory-verbal working memory. Front Psychol 5(200):1–7

    CAS  Google Scholar 

  • Klimesch WP, Sauseng P, Hanslmayr S (2007) EEG alpha oscillations: the inhibition–timing hypothesis. Brain Res Rev 53(1):63–88

    Article  PubMed  Google Scholar 

  • Knyazev GG, Savostyanov AN, Levin EA (2006) Alpha synchronization and anxiety: implications for inhibition vs. alertness hypotheses. Int J Psychophysiol 59(2):151–158

    Article  PubMed  Google Scholar 

  • Krause CM, Sillanmäki L, Koivisto M, Saarela C, Häggqvist A, Laine M, Hämäläinen H (2000) The effects of memory load on event-related EEG desynchronization and synchronization. Clin Neurophysiol 111(11):2071–2078

    Article  CAS  PubMed  Google Scholar 

  • Lantigua K (2019) Developing a music-based selective attention training program for toddlers with developmental disabilities. Music Ther Perspect

  • Marcos Rojas C, ChaillouxPeguero JD, Alba Blanco E (2010) Real time identification of motor imagery actions on EEG signals. Ing Electrón Autom Comun 41(1):101–117

    Google Scholar 

  • Marti Marca AB, Nguyen T, Grahn J (2014). The effects of musical mood and musical arousal on visual attention

  • Meyer Y (1993) Wavelets: their past and their future. Prog Wavelet Anal Appl 11:9–18

    Google Scholar 

  • Missonnier P, Gold G, Herrmann FR, Fazio-Costa L, Michel JP, Deiber MP, Giannakopoulos P (2006) Decreased theta event-related synchronization during working memory activation is associated with progressive mild cognitive impairment. Dement Geriatr Cogn Disord 22(3):250–259

    Article  PubMed  Google Scholar 

  • Mozart A, Hojibuvi R, Dustov S (2022) The impact of music on the human psyche on the example of music by Wolfgang. Web Sci Int Sci Res J 3(1):51–56

    Google Scholar 

  • Perham N, Currie H (2014) Does listening to preferred music improve reading comprehension performance? Appl Cogn Psychol 28:279–284

    Article  Google Scholar 

  • Psytask MANUAL (Mitstar Ltd), Visual Go No go, p 43

  • Rihs TA, Michel CM, Thut G (2009) A bias for posterior α-band power suppression versus enhancement during shifting versus maintenance of spatial attention. Neuroimage 44(1):190–199

    Article  PubMed  Google Scholar 

  • Rudy M (2014) The effects of music on a student’s schoolwork. Demand Media, Web. Rep, http://education.seattlepi.com/effects-music-students-schoolwork- 2153. html https://css-tricks.com/new-poll-do-you-listen-to-music-while-you-work/

  • Schmiedt C, Brand A, Hildebrandt H, Basar-Eroglu C (2005) Event-related theta oscillations during working memory tasks in patients with schizophrenia and healthy controls. Cogn Brain Res 25(3):936–947

    Article  CAS  Google Scholar 

  • Shen YW, Lin YP (2019) Challenge for affective brain-computer interfaces: non-stationary spatio-spectral EEG oscillations of emotional responses. Front Hum Neurosci 13:366

    Article  PubMed  PubMed Central  Google Scholar 

  • Shih YN, Huang RH, Chiang HY (2012) Background music: effects on attention performance. Work 42(4):573–578

    Article  PubMed  Google Scholar 

  • Sporns O (2013) Structure and function of complex brain networks. Dialog Clin Neurosci 15(3):247–262

    Article  Google Scholar 

  • Subba Rao B (2023) Raga Nidhi, vol.3, by B Subba Rao, Music research library. https://musicresearchlibrary.net/omeka/items/show/486. Accessed 9 January 2023

  • Subramanian M, Geethanjali B, Seshadri NG, Venkat B, Vijayalakshmi R (2017) Visualization of brain activation during attention-demanding tasks using cognitive signal processing. Int J Cogn Inf Nat Intell IJCINI 11(1):60–81

    Article  Google Scholar 

  • Swaminathan S, Schellenberg EG (2015) Current emotion research in music psychology. Emot Rev 7(2):189–197

    Article  Google Scholar 

  • Tanaka S, Kirino E (2019) Increased functional connectivity of the angular gyrus during imagined music performance. Front Hum Neurosci 13:92

    Article  PubMed  PubMed Central  Google Scholar 

  • Thammasan N, Moriyama K, Fukui KI, Numao MM (2015) Investigation of familiarity effects in music-emotion recognition based on EEG, In: Brain informatics and health, Springer, pp 242-251

  • Thompson WF, Schellenberg EG, Husain G (2014) Decoding speech prosody: Do music lessons help? Emotion 4(1):46–64

    Article  Google Scholar 

  • Tsoneva T, Baldo D, Lema V, Garcia-Molina G (2011) EEG-rhythm dynamics during a 2-back working memory task and performance. In: Proceedings in 2011 annual international conference of the IEEE engineering in medicine and biology society, pp 3828–3831

  • Vanhollebeke G, De Smet S, De Raedt R, Baeken C, van Mierlo P, Vanderhasselt MA (2022) The neural correlates of psychosocial stress: a systematic review and meta-analysis of spectral analysis EEG studies. Neurobiol Stress 18:100452

    Article  PubMed  PubMed Central  Google Scholar 

  • Wu J, Zhang J, Liu C, Liu D, Ding X, Zhou C (2012) Graph theoretical analysis of EEG functional connectivity during music perception. Brain Res 1483:71–81

    Article  CAS  PubMed  Google Scholar 

  • Xia L, Mo L, Wang J, Zhang W, Zhang D (2020) Trait anxiety attenuates response inhibition: evidence from an ERP study using the Go/No-Go task. Front Behav Neurosci 14:28

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors acknowledge Mr. N.P. Guhan Seshadri for helping with data acquisition and revising the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adalarasu Kanagasabai.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Balasubramanian, G., Kanagasabai, A., Veezhinathan, M. et al. Brain connectivity dynamics during listening to music and potential impact on task performance. Cogn Neurodyn (2023). https://doi.org/10.1007/s11571-023-09948-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11571-023-09948-w

Keywords

Navigation