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Center for Music in the Brain

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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

Lippolis, M., Matarrelli, B., Carraturo, G., Vuust, P. & Brattico, E. (2025). Examining the relationships between musical sophistication, musical engagement, and empathy in samples of Italian and Spanish preadolescents. Psychology of Music. Advance online publication. https://doi.org/10.1177/03057356251368701

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

Kujala, T. & Brattico, E. (2009). Detrimental noise effects on brain's speech functions. Biological Psychology, 81(3), 135-143. https://doi.org/10.1016/j.biopsycho.2009.03.010

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

Krohn, K. I., Brattico, E., Valimaki, V. & Tervaniemi, M. (2007). Neural representations of the hierarchical scale pitch structure. Music Perception, 24(3), 281-296. https://doi.org/10.1525/MP.2007.24.3.281

Kringelbach, M. L. (2015). The pleasure of food: underlying brain mechanisms of eating and other pleasures. Flavour, 4(20).

Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V. K. & Deco, G. (2015). The Rediscovery of Slowness: Exploring the Timing of Cognition. Trends in Cognitive Sciences, 19(10), 616-28. https://doi.org/10.1016/j.tics.2015.07.011

Kringelbach, M. L., Stark, E. A., Alexander, C., Bornstein, M. H. & Stein, A. (2016). On Cuteness: Unlocking the Parental Brain and Beyond. Trends in Cognitive Sciences, 20(7), 545-58. https://doi.org/10.1016/j.tics.2016.05.003

Kringelbach, M. L. & Rapuano, K. M. (2016). Time in the orbitofrontal cortex. Brain, 139(Pt 4), 1010-3. https://doi.org/10.1093/brain/aww049

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

Kringelbach, M. L. & Deco, G. (2020). Brain States and Transitions: Insights from Computational Neuroscience. Cell Reports, 32(10), Article 108128. https://doi.org/10.1016/j.celrep.2020.108128

Kringelbach, M. L., Perl, Y. S., Tagliazucchi, E. & Deco, G. (2023). Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task. Science Advances, 9(2), Article eade6049. https://doi.org/10.1126/sciadv.ade6049

Kringelbach, M. L., Sanz Perl, Y. & Deco, G. (2024). The Thermodynamics of Mind. Trends in Cognitive Sciences, 28(6), 568-581. https://doi.org/10.1016/j.tics.2024.03.009

Kringelbach, M. L., Vuust, P. & Deco, G. (2024). Building a science of human pleasure, meaning making, and flourishing. Neuron, 112(9), 1392-1396. https://doi.org/10.1016/j.neuron.2024.03.022

Kringelbach, M. L. & Deco, G. (2024). Prefrontal cortex drives the flexibility of whole-brain orchestration of cognition. Current Opinion in Behavioral Sciences, 57, Article 101394. https://doi.org/10.1016/j.cobeha.2024.101394

Kragness, H., Hansen, N. C., Vuust, P., Trainor, L. & Pearce, M. (2016). Information dynamics of boundary perception: Entropy in self-paced music listening. Paper presented at 14th International Conference on Music Perception and Cognition, San Francisco, United States.

Kohler, N., Novembre, G., Gugnowska, K., Keller, P. E., Villringer, A. & Sammler, D. (2023). Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action. Cerebral Cortex, 33(6), 2804-2822. https://doi.org/10.1093/cercor/bhac243

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

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

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