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Center for Music in the Brain

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Brattico, E., Monitillo, V., Calabrese, S., Montrone, N., Nardulli, R., Multari, V. & Ambrosi, L. (2003). Effetti del rumore sui meccanismi corticali di elaborazione dei suoni linguistici. G Ital Med Lav Ergon, 25(2), 142-8.

Wong, W. W., Cabral, J., Rane, R., Ly, R., Kringelbach, M. L. & Feusner, J. D. (2021). Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder. Neuropsychopharmacology, 46(11), 2030-2038. https://doi.org/10.1038/s41386-021-01039-w

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2016). Effects of single-dose intranasal oxytocin on recognition of basic emotions and complex mental states in facial expressions: A systematic review and meta-analysis. Psychosomatic Medicine, 78(3), A42. https://doi.org/10.1097/PSY.0000000000000343

Witek, M. A. G., Clarke, E. F., Kringelbach, M. L. & Vuust, P. (2014). Effects of polyphonic context, instrumentation, and metrical location on syncopation in music. Music Perception, 32(2), 201-217. https://doi.org/10.1525/MP.2014.32.2.201

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

Bro, M. L., Johansen, C., Vuust, P., Enggaard, L., Himmelstrup, B., Mourits-Andersen, T., Brown, P., d'Amore, F., Andersen, E. A. W., Abildgaard, N. & Gram, J. (2019). Effects of live music during chemotherapy in lymphoma patients: a randomized, controlled, multi-center trial. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 27(10), 3887-3896. https://doi.org/10.1007/s00520-019-04666-8

Danielsen, A., Waadeland, C. H., Sundt, H. G. & Witek, M. A. G. (2015). Effects of instructed timing and tempo on snare drum sound in drum kit performance. Acoustical Society of America. Journal, 138(4), 2301-2316. https://doi.org/10.1121/1.4930950

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

Mediano, P. A. M., Rosas, F. E., Timmermann, C., Roseman, L., Nutt, D. J., Feilding, A., Kaelen, M., Kringelbach, M. L., Barrett, A. B., Seth, A. K., Muthukumaraswamy, S., Bor, D. & Carhart-Harris, R. L. (2024). Effects of External Stimulation on Psychedelic State Neurodynamics. ACS Chemical Neuroscience, 15(3), 462-471. https://doi.org/10.1021/acschemneuro.3c00289

Stupacher, J. A. & Wood, G. (2018). Effects of cultural background and musical preference on affective social entrainment with music. In Proceedings of ICMPC15/ESCOM10 (pp. 438-441).

Cruzat, J., Perl, Y. S., Escrichs, A., Vohryzek, J., Timmermann, C., Roseman, L., Luppi, A. I., Ibañez, A., Nutt, D., Carhart-Harris, R., Tagliazucchi, E., Deco, G. & Kringelbach, M. L. (2022). Effects of classic psychedelic drugs on turbulent signatures in brain dynamics. Network Neuroscience, 6(4), 1104-1124. https://doi.org/10.1162/netn_a_00250

Karageorghis, C. I., Lyne, L. P., Bigliassi, M. & Vuust, P. (2019). Effects of auditory rhythm on movement accuracy in dance performance. Human Movement Science, 67, Article 102511. https://doi.org/10.1016/j.humov.2019.102511

Kliuchko, M., Vuust, P., Toiviainen, P., Tervaniemi, M., Bogert, B. & Brattico, E. (2015). Effects of active vs. passive exposure to a musical style: An MMN study with the musical multifeature paradigm.

Liu, C., Brattico, E., Abu-Jamous, B., Pereira, C. S., Jacobsen, T. & Nandi, A. K. (2017). Effect of Explicit Evaluation on Neural Connectivity Related to Listening to Unfamiliar Music. Frontiers in Human Neuroscience, 11, Article 611. https://doi.org/10.3389/fnhum.2017.00611

Charquero-Ballester, M., Kleim, B., Vidaurre, D., Ruff, C., Stark, E., Tuulari, J. J., McManners, H., Bar-Haim, Y., Bouquillon, L., Moseley, A., Williams, S. C. R., Woolrich, M. W., Kringelbach, M. L. & Ehlers, A. (2022). Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks. Human Brain Mapping, 43(10), 3207-3220. https://doi.org/10.1002/hbm.25846

Costa, M., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2025). EEG Correlates of Auditory Short-Term Memory and Dissimilarity Perception in Young and Older Adults. European Journal of Neuroscience, 61(12), Article e70166. https://doi.org/10.1111/ejn.70166

Chan, R. C. K. & Kringelbach, M. L. (2016). Editorial: At Risk for Neuropsychiatric Disorders: An Affective Neuroscience Approach to Understanding the Spectrum. Frontiers in Behavioral Neuroscience, 10(AUG), Article 165. https://doi.org/10.3389/fnbeh.2016.00165

Hansen, N. C., Wald-Fuhrmann, M. & Davidson, J. W. (2022). Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic. Frontiers in Psychology, 13, Article 910101. https://doi.org/10.3389/fpsyg.2022.910101

Müller, V., Fairhurst, M. T., van Vugt, F. T., Keller, P. E. & Müller, M. F. (2022). Editorial: Interpersonal synchrony and network dynamics in social interaction. Frontiers in Human Neuroscience, 16, Article 1095735. https://doi.org/10.3389/fnhum.2022.1095735

Müller, V., Fairhurst, M. T., van Vugt, F. T. & Keller, P. E. (2025). Editorial: Interpersonal synchrony and network dynamics in social interaction, volume II. Frontiers in Human Neuroscience, 19, Article 1667942. https://doi.org/10.3389/fnhum.2025.1667942

Launay, J., Grube, M. & Stewart, L. (2014). Dysrhythmia: a specific congenital rhythm perception deficit. Frontiers in Psychology, 5, 18. https://doi.org/10.3389/fpsyg.2014.00018

Burunat, I., Alluri, V., Toiviainen, P., Numminen, J. & Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex, 57, 254-69. https://doi.org/10.1016/j.cortex.2014.04.012

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D., Fernandes, H. M., Litvak, V., Kringelbach, M. L. & Deco, G. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. https://doi.org/10.1016/j.csbj.2022.11.060

Varlet, M., Nozaradan, S. & Keller, P. E. (2025). Dynamic neural processing of self-other synchronization error in interpersonal coordination. iScience, 28(12), Article 114081. https://doi.org/10.1016/j.isci.2025.114081

Niranjan, D., Toiviainen, P., Brattico, E. & Alluri, V. (2019). Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel & C. Shan (Eds.), Brain Informatics : 12th International Conference, BI 2019 Haikou, China, December 13–15, 2019 Proceedings (pp. 82-91). Springer. https://doi.org/10.1007/978-3-030-37078-7_9

Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020). Dynamic coupling of whole-brain neuronal and neurotransmitter systems. Proceedings of the National Academy of Sciences (PNAS), 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117

Lumaca, M., Vuust, P. & Dietz, M. (2019). Dynamic causal modelling of effective connectivity during music perception. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L. & Cabral, J. (2019). Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. NeuroImage, 199, 127-142. https://doi.org/10.1016/j.neuroimage.2019.05.060

Deco, G., Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., Aquino, K. M. & Fornito, A. (2021). Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape. Science Advances, 7(29), Article eabf4752. https://doi.org/10.1126/sciadv.abf4752

Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E.-M., Vuust, P., Stein, A. & Kringelbach, M. L. (2017). Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women. Scientific Reports, 7(1), Article 1727. https://doi.org/10.1038/s41598-017-01776-3

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Pando-Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza-Villarreal, E. A., Witek, M. A. G., Penhune, V. & Vuust, P. (2024). Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms. European Journal of Neuroscience, 59(1), 101-118. https://doi.org/10.1111/ejn.16128

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

Stewart, L. (2008). Do musicians have different brains? Clinical Medicine, 8(3), 304-8.

Grassi, M., Talamini, F., Altoè, G., Brattico, E., Caclin, A., Carretti, B., Drai-Zerbib, V., Ferreri, L., Gambarota, F., Grahn, J., Guiotto Nai Fovino, L., Roccato, M., Rodriguez-Fornells, A., Swaminathan, S., Tillmann, B., Vuust, P., Wilbiks, J., Zentner, M., Aguilar, K. ... Zappa, A. (2025). Do Musicians Have Better Short-Term Memory Than Nonmusicians? A Multilab Study. Advances in Methods and Practices in Psychological Science, 8(4). https://doi.org/10.1177/25152459251379432

Heggli, O. A., Stupacher, J. & Vuust, P. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science, 8(11), Article 210885. https://doi.org/10.1098/rsos.210885

Luppi, A. I., Vohryzek, J., Kringelbach, M. L., Mediano, P. A. M., Craig, M. M., Adapa, R., Carhart-Harris, R. L., Roseman, L., Pappas, I., Peattie, A. R. D., Manktelow, A. E., Sahakian, B. J., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Menon, D. K., Atasoy, S. & Stamatakis, E. A. (2023). Distributed harmonic patterns of structure-function dependence orchestrate human consciousness. Communications Biology, 6(1), Article 117. https://doi.org/10.1038/s42003-023-04474-1

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2025). Distinct movement related changes in EEG and ECeG power during finger and foot movement. Neuroscience Letters, 853, Article 138207. https://doi.org/10.1016/j.neulet.2025.138207

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Kohler, N., Czepiel, A. M., de Manzano, Ö., Novembre, G., Keller, P. E., Villringer, A. & Sammler, D. (2025). Distinct and content-specific neural representations of self- and other-produced actions in joint piano performance. Frontiers in Human Neuroscience, 19, Article 1543131. https://doi.org/10.3389/fnhum.2025.1543131

Harrison, P. & Pearce, M. (2018). Dissociating sensory and cognitive theories of harmony perception through computational modeling. In Proceedings of the 15th International Conference on Music Perception & Cognition http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018a.pdf

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

Bruzzone, S. E. P., Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study. Scientific Reports, 12(1), Article 4746. https://doi.org/10.1038/s41598-022-08521-5

Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090

Padilla, N., Escrichs, A., Del Agua, E., Kringelbach, M., Donaire, A., Deco, G. & Åden, U. (2023). Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex, 33(13), 8101-8109. https://doi.org/10.1093/cercor/bhad101

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), Article 13638. https://doi.org/10.1038/s41598-019-50093-4

Stewart, L., Von Kriegstein, K., Bella, S. D., Warren, J. D. & Griffiths, T. D. (2008). Disorders of Musical Cognition. In The Oxford Handbook of Music Psychology Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199298457.013.0017

Celma-Miralles, A., Crespo-Bojorque, P. & Toro, J. (2022). Discrimination of the musical features of a tune by rats. Poster session presented at Social BRIDGES Conference, Munich, Germany. https://www.unibw.de/socialbridges/socialbridges_de

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

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