Mårup, S. H., Kleber, B. A., Møller, C. & Vuust, P. (2024). When direction matters: Neural correlates of interlimb coordination of rhythm and beat. Cortex, 172, 86-108. https://doi.org/10.1016/j.cortex.2023.11.019

Martínez-Molina, N., Siponkoski, S. T., Pitkäniemi, A., Moisseinen, N., Kuusela, L., Pekkola, J., Laitinen, S., Särkämö, E. R., Melkas, S., Kleber, B., Schlaug, G., Sihvonen, A. & Särkämö, T. (2022). Neuroanatomical correlates of speech and singing production in chronic post-stroke aphasia. Brain Communications, 4(1), Article fcac001. https://doi.org/10.1093/braincomms/fcac001

Marin, M. M., Gingras, B. & Stewart, L. (2012). Perception of musical timbre in congenital amusia: categorization, discrimination and short-term memory. Neuropsychologia, 50(3), 367-78. https://doi.org/10.1016/j.neuropsychologia.2011.12.006

Manriquez P, R., Kotz, S. A., Ravignani, A. & de Boer, B. (2024). Bioacoustic classification of a small dataset of mammalian vocalisations using deep learning. Bioacoustics, 33(4), 354-371. https://doi.org/10.1080/09524622.2024.2354468

Maldarelli, G., Dissegna, A., Ravignani, A. & Chiandetti, C. (2024). Chicks produce consonant, sometimes jazzy, sounds. Biology Letters, 20(9), Article 20240374. https://doi.org/10.1098/rsbl.2024.0374

Magee, W. L. & Stewart, L. (2015). The challenges and benefits of a genuine partnership between Music Therapy and Neuroscience: a dialog between scientist and therapist. Frontiers in Human Neuroscience, 9, 223. https://doi.org/10.3389/fnhum.2015.00223

Magalhães, R., Picó-Pérez, M., Esteves, M., Vieira, R., Castanho, T. C., Amorim, L., Sousa, M., Coelho, A., Fernandes, H. M., Cabral, J., Moreira, P. S. & Sousa, N. (2021). Habitual coffee drinkers display a distinct pattern of brain functional connectivity. Molecular Psychiatry, 26(11), 6589-6598. https://doi.org/10.1038/s41380-021-01075-4

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J. M., Kringelbach, M. L., Orio, P., Ching, S. N., Sanz Perl, Y., Diringer, M. N., Stevens, R. D. & Sitt, J. D. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275, Article 120162. https://doi.org/10.1016/j.neuroimage.2023.120162

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

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., 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

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., 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., 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

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

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., 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., 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., 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

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., 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

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

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

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, 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

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., 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

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

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

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

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.

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., 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., 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. (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. & 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., 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