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Center for Music in the Brain

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Contribution to journal

Stewart, L., Walsh, V., Frith, U. & Rothwell, J. (2001). Transcranial magnetic stimulation produces speech arrest but not song arrest. Annals of the New York Academy of Sciences, 930, 433-5.

Stewart, L. & Williamon, A. (2008). What are the implications of neuroscience for musical education? Educational Research, 50(2), 177-186. https://doi.org/10.1080/00131880802082666

Stewart, L. (2002). Zoning in on music and the brain. Trends in Cognitive Sciences, 6(11), 451.

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), Article 1035. https://doi.org/10.1038/s41467-019-08934-3

Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D. & Grube, M. (2021). Auditory beat perception is related to speech output fluency in post-stroke aphasia. Scientific Reports, 11, Article 3168. https://doi.org/10.1038/s41598-021-82809-w

Steenstrup, K., Haumann, N. T., Kleber, B., Camarasa, C., Vuust, P. & Petersen, B. (2021). Imagine, Sing, Play- Combined Mental, Vocal and Physical Practice Improves Musical Performance. Frontiers in Psychology, 12, Article 757052. https://doi.org/10.3389/fpsyg.2021.757052

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). Autistic Cognition: Charting Routes to Anxiety. Trends in Cognitive Sciences, 25(7), 571-581. https://doi.org/10.1016/j.tics.2021.03.014

Stark, E. A., Vuust, P. & Kringelbach, M. L. (2018). Music, dance, and other art forms: New insights into the links between hedonia (pleasure) and eudaimonia (well-being). Progress in Brain Research, 237, 129-152. https://doi.org/10.1016/bs.pbr.2018.03.019

Stark, E. A., Parsons, C. E., Hartevelt, T. J. V., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A. & Kringelbach, M. L. (2015). Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies. Neuroscience & Biobehavioral Reviews, 56, 207-221. https://doi.org/10.1016/j.neubiorev.2015.07.007

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2020). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Soler-Toscano, F., Galadí, J. A., Escrichs, A., Perl, Y. S., López-González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., Esteban, F. J., Laureys, S., Kringelbach, M. L., Langa, J. A. & Deco, G. (2022). What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics. PLOS Computational Biology, 18(9), Article e1010412. https://doi.org/10.1371/journal.pcbi.1010412

Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G., Kringelbach, M. L., Stamatakis, E. A. & Kuceyeski, A. (2022). Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications, 13(1), Article 5812. https://doi.org/10.1038/s41467-022-33578-1

Simola, J., Siebenhühner, F., Myrov, V., Kantojärvi, K., Paunio, T., Palva, J. M., Brattico, E. & Palva, S. (2022). Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations. iScience, 25(9), Article 104985. https://doi.org/10.1016/j.isci.2022.104985

Signorelli, C. M., Uhrig, L., Kringelbach, M., Jarraya, B. & Deco, G. (2021). Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss. NeuroImage, 227, Article 117618. https://doi.org/10.1016/j.neuroimage.2020.117618

Shoemark, H., Dahlstrøm, M., Bedford, O. & Stewart, L. (2021). The effect of a voice-centered psycho-educational program on maternal self-efficacy: A feasibility study. International Journal of Environmental Research and Public Health, 18(5), Article 2537. https://doi.org/10.3390/ijerph18052537

Shestakova, A., Brattico, E., Huotilainen, M., Galunov, U., Soloviev, A., Sams, M., Ilmoniemi, RJ. & Naatanen, R. (2002). Abstract phoneme representations in the left temporal cortex: magnetic mismatch negativity study. NeuroReport, 13(14), 1813-1816.

Shestakova, A., Brattico, E., Soloviev, A., Klucharev, U. & Huotilainen, M. (2004). Orderly cortical representation of vowel categories presented by multiple exemplars. Brain Research, 21(3), 342-350. https://doi.org/10.1016/j.cogbrainres.2004.06.011

Seppanen, M., Brattico, E. & Tervaniemi, M. (2007). Practice strategies of musicians modulate neural processing and the learning of sound-patterns. Neurobiology of Learning and Memory, 87(2), 236-247. https://doi.org/10.1016/j.nlm.2006.08.011

Seeberg, A. B., Trusbak Haumann, N., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2023). Adapting to the Sound of Music - Development of Music Discrimination Skills in Recently Implanted CI Users. Trends in Hearing, 27. https://doi.org/10.1177/23312165221148035

Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47(1), 29-52. https://doi.org/10.1080/09298215.2017.1367010

Schirmer-Mokwa, Fard, Zamorano, Finkel, Birbaumer & Kleber, B. (2015). Evidence for enhanced interoceptive accuracy in professional musicians. Frontiers in Behavioral Neuroscience, 9, 349.

Schiavio, A., Stupacher, J., Parncutt, R. & Timmers, R. (2020). Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception, 37(5), 403-422. https://doi.org/10.1525/mp.2020.37.5.403

Schiavio, A., Stupacher, J., Xypolitaki, E., Parncutt, R. & Timmers, R. (2021). Musical novices perform with equal accuracy when learning to drum alone or with a peer. Scientific Reports, 11(1), Article 12422. https://doi.org/10.1038/s41598-021-91820-0

Scarratt, R. J., Heggli, O. A., Vuust, P. & Sadakata, M. (2023). Music that is used while studying and music that is used for sleep share similar musical features, genres and subgroups. Scientific Reports, 13(1), Article 4735. https://doi.org/10.1038/s41598-023-31692-8

Scarratt, R. J., Heggli, O. A., Vuust, P. & Jespersen, K. V. (2023). The audio features of sleep music: universal and subgroup characteristics. PLOS ONE, 18(1), Article e0278813. https://doi.org/10.1371/journal.pone.0278813

Sauvé, S., Sayed, A., Dean, R. & Pearce, M. (2018). Effects of pitch and timing expectancy on musical emotion. Psychomusicology: Music, Mind & Brain, 28, 17-39. https://doi.org/10.1037/pmu0000203

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Saenger, V. M., Kahan, J., Foltynie, T., Friston, K., Aziz, T. Z., Green, A. L., van Hartevelt, T. J., Cabral, J., Stevner, A. B. A., Fernandes, H. M., Mancini, L., Thornton, J., Yousry, T., Limousin, P., Zrinzo, L., Hariz, M., Marques, P., Sousa, N., Kringelbach, M. L. & Deco, G. (2017). Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson's disease. Scientific Reports, 7(1), 9882. Article 9882. https://doi.org/10.1038/s41598-017-10003-y

Sabharwal, S. R., Varlet, M., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2022). huSync - A model and system for the measure of synchronization in small groups: A case study on musical joint action. IEEE Access, 10, 92357-92372. https://doi.org/10.1109/ACCESS.2022.3202959

Saarikallio, S., Nieminen, S. & Brattico, E. (2013). Affective reactions to musical stimuli reflect emotional use of music in everyday life. Musicae Scientiae, 17(1), 27-39. https://doi.org/10.1177/1029864912462381

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), Article 708. https://doi.org/10.1038/s41598-018-19177-5

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network neuroscience (Cambridge, Mass.), 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., Ponce-Alvarez, A., Kringelbach, M. L., Carhart-Harris, R. & Deco, G. (2023). LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLOS Computational Biology, 19(2), Article e1010811. https://doi.org/10.1371/journal.pcbi.1010811

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), Article 854. https://doi.org/10.1038/s42003-021-02369-7

Rosso, M., Heggli, O. A., Maes, P. J., Vuust, P. & Leman, M. (2022). Mutual beta power modulation in dyadic entrainment. NeuroImage, 257, Article 119326. https://doi.org/10.1016/j.neuroimage.2022.119326

Rosselló, J., Vila-Borrellas, E., Alba-Foz, G. & Celma-Miralles, A. (2023). Música, autisme i prosòdia a la llum d’un estudi de cas. Language, Society & Communication, 20, 48-62. https://doi.org/10.1344/LSC-2022.20.5

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Rømer Thomsen, K., Whybrow, P. C. & Kringelbach, M. L. (2015). Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain. Frontiers in Behavioral Neuroscience, 9(49). https://doi.org/10.3389/fnbeh.2015.00049

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Riem, M. M. E., van Ijzendoorn, M. H., Parsons, C. E., Young, K. S., De Carli, P., Kringelbach, M. L. & Bakermans-Kranenburg, M. J. (2017). Experimental manipulation of infant temperament affects amygdala functional connectivity. Cognitive, Affective & Behavioral Neuroscience, 17(4), 858-868. https://doi.org/10.3758/s13415-017-0518-8

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, Article 560877. https://doi.org/10.3389/fpsyg.2020.560877

Rayson, H., Parsons, C. E., Young, K. S., Goodacre, T. E. E., Kringelbach, M. L., Bonaiuto, J. J., McSorley, E. & Murray, L. (2017). Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness". Cleft Palate - Craniofacial Journal, 54(5), 562-70. https://doi.org/10.1597/16-015

Ravignani, A., Lumaca, M. & Kotz, S. A. (2022). Interhemispheric Brain Communication and the Evolution of Turn-Taking in Mammals. Frontiers in Ecology and Evolution, 10, Article 916956. https://doi.org/10.3389/fevo.2022.916956

Ravignani, A. & Herbst, C. T. (2023). Voices in the ocean. Science (New York, N.Y.), 379(6635), 881-882. https://doi.org/10.1126/science.adg5256

Ravignani, A., Thompson, B., Lumaca, M. & Grube, M. (2018). Why do durations in musical rhythms conform to small integer ratios? Frontiers in Computational Neuroscience, 12, Article 86.

Quiroga-Martinez, D. R., Basiński, K., Nasielski, J., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2022). Enhanced mismatch negativity in harmonic compared with inharmonic sounds. European Journal of Neuroscience, 56(5), 4583-4599. https://doi.org/10.1111/ejn.15769

Quiroga-Martinez, D. R., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2021). Listeners with congenital amusia are sensitive to context uncertainty in melodic sequences. Neuropsychologia, 158, Article 107911. https://doi.org/10.1016/j.neuropsychologia.2021.107911

Quiroga-Martinez, D. R., Hansen, N. C., Hojlund, A., Pearce, M., Brattico, E., Holmes, E., Friston, K. & Vuust, P. (2021). Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Human Brain Mapping, 42(17), 5595-5608. https://doi.org/10.1002/hbm.25638

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. https://doi.org/10.1016/j.neuroimage.2020.116816

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