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Center for Music in the Brain

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Luppi, A. I., Rosas, F. E., Noonan, M. A. P., Mediano, P. A. M., Kringelbach, M. L., Carhart-Harris, R. L., Stamatakis, E. A., Vernon, A. C. & Turkheimer, F. E. (2024). Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist, 30(2), 173-198. https://doi.org/10.1177/10738584221138032

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Music-induced analgesia: How does music relieve pain? Pain, 160(5), 989-993. https://doi.org/10.1097/j.pain.0000000000001452

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Reply to Martin-Saavedra and Saade-Lemus. Pain, 160(6), 1483-1484. https://doi.org/10.1097/j.pain.0000000000001534

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A., Kirsch, I., Møller, A. & Vase, L. (2022). Music-induced analgesia in healthy participants is associated with expected pain levels but not opioid or dopamine-dependent mechanisms. Frontiers in Pain Research, 3, Article 734999. https://doi.org/10.3389/fpain.2022.734999

Lund, H. N., Kreutz, G. & Jespersen, K. V. (2019). Music and sleep: Improving mental health.

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423.

Lumaca, M. & Baggio, G. (2018). Signaling games and the evolution of structure in language and music: A reply to Ravignani & Verhoef (2018). Artificial Life, 24(2), 154.

Lumaca, M., Ravignani, A. & Baggio, G. (2018). Music evolution in the laboratory: Cultural transmission meets neurophysiology. Frontiers in Neuroscience, 12(APR), 246. Article 246.

Lumaca, M., Haumann, N. T., Vuust, P., Brattico, E. & Baggio, G. (2018). From random to regular: Neural constraints on the emergence of isochronous rhythm during cultural transmission. Social Cognitive and Affective Neuroscience, 13(8), 877-888. https://doi.org/10.1093/scan/nsy054

Lumaca, M., Haumann, N. T., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. European Journal of Neuroscience, 49(12), 1597-1609. https://doi.org/10.1111/ejn.14329

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.

Lumaca, M., Trusbak Haumann, N., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. 1597-1609. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Lumaca, M., Kleber, B., Brattico, E., Vuust, P. & Baggio, G. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems. eLife, 8, Article e48710. https://doi.org/10.7554/eLife.48710

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2019). Learning of complex auditory patterns changes intrinsic and feedforward effective connectivity between Heschl’s gyrus and planum temporale. bioRxiv. https://doi.org/10.1101/848416

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2021). Perceptual learning of tone patterns changes the effective connectivity between Heschl's gyrus and planum temporale. Human Brain Mapping, 42(4), 941-952. https://doi.org/10.1002/hbm.25269

Lumaca, M., Baggio, G. & Vuust, P. (2021). White matter variability in auditory callosal pathways contributes to variation in the cultural transmission of auditory symbolic systems. Brain Structure & Function, 226(6), 1943–1959. https://doi.org/10.1007/s00429-021-02302-y

Lumaca, M., Vuust, P. & Baggio, G. (2022). Network Analysis of Human Brain Connectivity Reveals Neural Fingerprints of a Compositionality Bias in Signaling Systems. Cerebral Cortex, 32(8), 1704-1720. https://doi.org/10.1093/cercor/bhab307

Lumaca, M., Brattico, E. & Baggio, G. (2021). Signaling games and music as a credible signal. Behavioral and Brain Sciences, 44, e107. Article e107. https://doi.org/10.1017/S0140525X20001016

Lumaca, M. (2021). Functional and structural connectivity in human auditory networks and the origins of variation in the transmission of musical systems. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Lumaca, M., Bonetti, L., Brattico, E., Baggio, G., Ravignani, A. & Vuust, P. (2023). High-fidelity transmission of auditory symbolic material is associated with reduced right-left neuroanatomical asymmetry between primary auditory regions. Cerebral cortex (New York, N.Y. : 1991), 33(11), 6902–6916. https://doi.org/10.1093/cercor/bhad009

Lumaca, M., Keller, P., Baggio, G., Pando Naude, V. M., Bajada, C. J., Martinez, M. A., Hillebrand Hansen, J., Ravignani, A., Joe, N., Vuust, P., Vulic, K. & Sandberg, K. (2024). Frontoparietal network topology as a neural marker of musical perceptual abilities. Nature Communications, 15(1), Article 8160. https://doi.org/10.1038/s41467-024-52479-z

Louzolo, A., Lebedev, A. V., Björnsdotter, M., Acar, K., Ahrends, C., Kringelbach, M. L., Ingvar, M., Olsson, A. & Petrovic, P. (2022). Resistance to Extinction of Evaluative Fear Conditioning in Delusion Proneness. Schizophrenia Bulletin Open, 3(1), Article sgac033. https://doi.org/10.1093/schizbullopen/sgac033

Löser, A. S., Dalla Bella, S., Keller, P. E., Villringer, A., Obrig, H. & Engel, A. (2024). Inhibitory control and working memory predict rhythm production abilities in patients with neurocognitive deficits. Neuropsychologia, 204, Article 109009. https://doi.org/10.1016/j.neuropsychologia.2024.109009

Lord, L.-D., Expert, P., Fernandes, H., Petri, G., Van Hartevelt, T., Vaccarino, F., Deco, G., Turkheimer, F. & Kringelbach, M. (2016). Insights into brain architectures from the homological scaffolds of functional connectivity networks. Frontiers in Systems Neuroscience, 10(85), Article 85. https://doi.org/10.3389/fnsys.2016.00085

Lord, L.-D., Stevner, A. B., Deco, G. & Kringelbach, M. L. (2017). Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2096), Article 20160283. https://doi.org/10.1098/rsta.2016.0283

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

López-González, A., Panda, R., Ponce-Alvarez, A., Zamora-López, G., Escrichs, A., Martial, C., Thibaut, A., Gosseries, O., Kringelbach, M. L., Annen, J., Laureys, S. & Deco, G. (2021). Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics. Communications Biology, 4(1), Article 1037. https://doi.org/10.1038/s42003-021-02537-9

Løkke, A., Kaasgaard, M., Andreasson, K. H., Rasmussen, D. B., Hilberg, O., Vuust, P. & Bodtger, U. (2022). Reply: The effectiveness of singing versus exercise training. European Respiratory Journal, 59(6). https://doi.org/10.1183/13993003.03051-2021

Livingstone-Lee, S. A., Murchison, S., Zeman, P. M., Gandhi, M., van Gerven, D., Stewart, L., Livingston, N. J. & Skelton, R. W. (2011). Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice. Behavioural Brain Research, 225(1), 117-25. https://doi.org/10.1016/j.bbr.2011.07.005

Liu, F., Jiang, C., Pfordresher, P. Q., Mantell, J. T., Xu, Y., Yang, Y. & Stewart, L. (2013). Individuals with congenital amusia imitate pitches more accurately in singing than in speaking: implications for music and language processing. Attention, Perception & Psychophysics, 75(8), 1783-98. https://doi.org/10.3758/s13414-013-0506-1

Liu, F., Patel, A. D., Fourcin, A. & Stewart, L. (2010). Intonation processing in congenital amusia: discrimination, identification and imitation. Brain, 133(Pt 6), 1682-93. https://doi.org/10.1093/brain/awq089

Liu, F., Jiang, C., Thompson, W. F., Xu, Y., Yang, Y. & Stewart, L. (2012). The mechanism of speech processing in congenital amusia: evidence from Mandarin speakers. PLOS ONE, 7(2), e30374. https://doi.org/10.1371/journal.pone.0030374

Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Clustering consistency in neuroimaging data analysis. In IEEE Proceedings of 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2015 (pp. 1118-1122). IEEE.

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. K. (2017). Towards tunable consensus clustering for studying functional brain connectivity during affective processing. International Journal of Neural Systems, 27(2), 1650042 . Article 1650042. https://doi.org/10.1142/S0129065716500428

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

Lippolis, M., Müllensiefen, D., Frieler, K., Matarrelli, B., Vuust, P., Cassibba, R. & Brattico, E. (2022). Learning to play a musical instrument in the middle school is associated with superior audiovisual working memory and fluid intelligence: A cross-sectional behavioral study. Frontiers in Psychology, 13, Article 982704. https://doi.org/10.3389/fpsyg.2022.982704

Lippolis, M., Carraturo, G., Ferreri, L., Vuust, P., Müllensiefen, D., Matarrelli, B. & Brattico, E. (2023). Sensitivity to social reward in music behavior changes after ,usic training in preadolescence. Advances in Cognitive Psychology, 19(4), 106-125. https://doi.org/10.5709/acp-0409-z

Lippolis, M., Derdau Sørensen, S., Petersen, B., Vuust, P. & Brattico, E. (2025). How Culture and Musical Engagement Shape Musical Reward Sensitivity in Danish Teens: A Validation Study of the Danish Barcelona Musical Reward Questionnaire With 4641 Adolescents. Scandinavian Journal of Psychology, 66(2), 190-209. https://doi.org/10.1111/sjop.13074

Lévêque, Y., Muggleton, N., Stewart, L. & Schön, D. (2013). Involvement of the larynx motor area in singing-voice perception: a TMS study(†). Frontiers in Psychology, 4, 418. https://doi.org/10.3389/fpsyg.2013.00418

Leonetti, S., Cimarelli, G., Hersh, T. A. & Ravignani, A. (2024). Why do dogs wag their tails? Biology Letters, 20(1), Article 20230407. https://doi.org/10.1098/rsbl.2023.0407

Leonetti, S., Ravignani, A. & Pouw, W. (2024). A cross-species framework for classifying sound-movement couplings. Neuroscience and Biobehavioral Reviews, 167, Article 105911. https://doi.org/10.1016/j.neubiorev.2024.105911

Lenc, T., Peter, V., Hooper, C., Keller, P. E., Burnham, D. & Nozaradan, S. (2023). Infants show enhanced neural responses to musical meter frequencies beyond low-level features. Developmental Science, 26(5), Article e13353. https://doi.org/10.1111/desc.13353

Lenc, T., Lenoir, C., Keller, P. E., Polak, R., Mulders, D. & Nozaradan, S. (2025). Measuring self-similarity in empirical signals to understand musical beat perception. European Journal of Neuroscience, 61(2), Article e16637. https://doi.org/10.1111/ejn.16637

Lebedev, A. V., Abé, C., Acar, K., Deco, G., Kringelbach, M. L., Ingvar, M. & Petrovic, P. (2022). Large-scale societal dynamics are reflected in human mood and brain. Scientific Reports, 12, Article 4646. https://doi.org/10.1038/s41598-022-08569-3

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

Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x

Langer Bro, M., Jespersen, K. V., Hansen, J. B., Vuust, P., Abildgaard, N., Gram, J. & Johansen, C. (2018). Kind of blue - a systematic review and meta-analysis of music intervention in cancer treatment. Psycho-Oncology, 27(2), 386–400.

Laffi, L., Bigand, F., Peham, C., Novembre, G., Gamba, M. & Ravignani, A. (2025). Rhythmic categories in horse gait kinematics. Journal of Anatomy, 246(3), 456-465. https://doi.org/10.1111/joa.14200

Laffi, L., Raimondi, T., Ferrante, C., Pagliara, E., Bertuglia, A., Briefer, E. F., Gamba, M. & Ravignani, A. (2025). The rhythm of horse gaits. Annals of the New York Academy of Sciences, 1543(1), 86-93. https://doi.org/10.1111/nyas.15271

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