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Center for Music in the Brain

Our publications

Deco, G., Kemp, M. & Kringelbach, M. L. (2021). Leonardo da Vinci and the search for order in neuroscience. Current Biology, 31(11), R704-R709. https://doi.org/10.1016/j.cub.2021.03.098

Costa, M. & Bonetti, L. (2017). Linear perspective and framing in the vista paradox. Perception, 46(11), 1245-1268.

Norgaard, M., Bales, K. & Hansen, N. C. (2023). Linked auditory and motor patterns in the improvisation vocabulary of an artist-level jazz pianist. Cognition, 230, [105308]. https://doi.org/10.1016/j.cognition.2022.105308

Mogensen, R. L. H., Hedegaard, M. B., Olsen, L. R. & Gebauer, L. (2020). Linking the Puzzle Pieces of the Past: A Study of Relational Memory in Children with Autism Spectrum Disorder. Autism Research, 13(11), 1959-1969. https://doi.org/10.1002/aur.2379

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, [107911]. https://doi.org/10.1016/j.neuropsychologia.2021.107911

Brattico, E., Kujala, T., Tervaniemi, M., Alku, P., Ambrosi, L. & Monitillo, U. (2005). Long-term exposure to occupational noise alters the cortical organization of sound processing. Clinical Neurophysiology, 116(1), 190-203. https://doi.org/10.1016/j.clinph.2004.07.030

Bianco, R., Harrison, P. M. C., Hu, M., Bolger, C., Picken, S., Pearce, M. T. & Chait, M. (2020). Long-term implicit memory for sequential auditory patterns in humans. eLife, 9, [e56073]. https://doi.org/10.7554/eLife.56073

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), [1037]. https://doi.org/10.1038/s42003-021-02537-9

Stewart, L. (2009). Lost in music. Psychologist, 22(12), 1030-1032.

Mohseni, H. R., Smith, P. P., Parsons, C., Young, K. S., Hyam, J. A., Stein, A., Stein, J. F., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2012). MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain. P L o S One, 7(6), [37993]. https://doi.org/10.1371/journal.pone.0037993

Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B. & Deco, G. (2022). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex, 32(2), 298-311. https://doi.org/10.1093/cercor/bhab209

Fernández-Rubio, G., Brattico, E., Kotz, S. A., Kringelbach, M. L., Vuust, P. & Bonetti, L. (2022). Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences. Communications Biology, 5(1), [1272]. https://doi.org/10.1038/s42003-022-04217-8

Carlson, E., Saarikallio, S., Toiviainen, P., Bogert, B., Kliuchko, M. & Brattico, E. (2015). Maladaptive and adaptive emotion regulation through music: a behavioral and neuroimaging study of males and females. Frontiers in Human Neuroscience, 9, [466]. https://doi.org/10.3389/fnhum.2015.00466

Knarborg Larsen, H., Heggli, O. A. & Petersen, B. (2019). Marimba, mallet and mind – enhancing the marimba sound by Ki-aikido approach. Journal of New Music Research, 48(5), 469-478. https://doi.org/10.1080/09298215.2019.1657465

Politimou, N., Douglass-Kirk, P., Pearce, M., Stewart, L. & Franco, F. (2021). Melodic expectations in 5- and 6-year-old children. Journal of Experimental Child Psychology, 203, [105020]. https://doi.org/10.1016/j.jecp.2020.105020

Tervaniemi, M., Huotilainen, M. & Brattico, E. (2014). Melodic multi-feature paradigm reveals auditory profiles in music-sound encoding. Frontiers in Human Neuroscience, 8, [496]. https://doi.org/10.3389/fnhum.2014.00496

Williamson, V. J. & Stewart, L. (2010). Memory for pitch in congenital amusia: beyond a fine-grained pitch discrimination problem. Memory, 18(6), 657-69. https://doi.org/10.1080/09658211.2010.501339

Deco, G. & Kringelbach, M. L. (2016). Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. Trends in Neurosciences, 39(3), 125-35. https://doi.org/10.1016/j.tins.2016.01.001

Cabral, J., Castaldo, F., Vohryzek, J., Litvak, V., Bick, C., Lambiotte, R., Friston, K., Kringelbach, M. L. & Deco, G. (2022). Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome. Communications Physics, 5(1), [184]. https://doi.org/10.1038/s42005-022-00950-y

Ipiña, I. P., Kehoe, P. D., Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020). Modeling regional changes in dynamic stability during sleep and wakefulness. NeuroImage, 215, [116833]. https://doi.org/10.1016/j.neuroimage.2020.116833

Capouskova, K., Kringelbach, M. L. & Deco, G. (2022). Modes of cognition: Evidence from metastable brain dynamics. NeuroImage, 260, [119489]. https://doi.org/10.1016/j.neuroimage.2022.119489

Brattico, E., Tupala, T., Glerean, E. & Tervaniemi, M. (2013). Modulated neural processing of Western harmony in folk musicians. Psychophysiology, 50(7), 653-663. https://doi.org/10.1111/psyp.12049

Young, K. S., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Motion and emotion: depression reduces psychomotor performance and alters affective movements in caregiving interactions. Frontiers in Behavioral Neuroscience, 9, 26. https://doi.org/10.3389/fnbeh.2015.00026

Pereira, C. S., Teixeira, J., Figueiredo, P., Xavier, J., Castro, S. L. & Brattico, E. (2011). Music and emotions in the brain: Familiarity matters. P L o S One, 6(11), [27241]. https://doi.org/10.1371/journal.pone.0027241

Stewart, L., von Kriegstein, K., Warren, J. D. & Griffiths, T. D. (2006). Music and the brain: disorders of musical listening. Brain, 129(Pt 10), 2533-53. https://doi.org/10.1093/brain/awl171

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

Jespersen, K. V., Koenig, J., Jennum, P. & Vuust, P. (2015). Music for insomnia in adults. Cochrane Database of Systematic Reviews, 8, CD010459. https://doi.org/10.1002/14651858.CD010459.pub2

Stewart, L. & Walsh, V. (2007). Music perception: sounds lost in space. Current Biology, 17(20), R892-3. https://doi.org/10.1016/j.cub.2007.08.012

Garza-Villarreal, E. A., Jiang, Z., Vuust, P., Alcauter, S., Vase, L., Pasaye, E. H., Cavazos-Rodriguez, R., Brattico, E., Jensen, T. S. & Barrios, F. A. (2015). Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients. Frontiers in Psychology, 6, 1051. https://doi.org/10.3389/fpsyg.2015.01051

Parsons, C., Young, K. S., Jegindø, E-M. E., Vuust, P., Stein, A. & Kringelbach, M. L. (2014). Music training and empathy positively impact adults' sensitivity to infant distress. Frontiers in Psychology, 5, 1440. https://doi.org/10.3389/fpsyg.2014.01440

Tardón, L. J., Rodríguez-Rodríguez, I., Haumann, N. T., Brattico, E. & Barbancho, I. (2021). Music with concurrent saliences of musical features elicits stronger brain responses. Applied Sciences, 11(19), [9158]. https://doi.org/10.3390/app11199158

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

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, [734999]. https://doi.org/10.3389/fpain.2022.734999

Alluri, V., Toiviainen, P., Burunat, I., Bogert, B., Numminen, J. & Brattico, E. (2015). Musical expertise modulates functional connectivity of limbic regions during continuous music listening. Psychomusicology: Music, Mind & Brain, 25(4), 443. https://doi.org/10.1037/pmu0000124

Heggli, O. A., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2019). Musical interaction is influenced by underlying predictive models and musical expertise. Scientific Reports, 9(1), [11048]. https://doi.org/10.1038/s41598-019-47471-3

Bonetti, L. & Costa, M. (2017). Musical mode and visual-spatial cross-modal associations in infants and adults. Musicae Scientiae, 8, [1218].

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), [12422]. https://doi.org/10.1038/s41598-021-91820-0

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, 51(11), 2250-2269. https://doi.org/10.1111/ejn.14667

Witek, M. A. G., Kringelbach, M. L. & Vuust, P. (2015). Musical rhythm and affect: Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews. https://doi.org/10.1016/j.plrev.2015.04.029

Brattico, E., Tervaniemi, M., Naatanen, R. & Peretz, I. (2006). Musical scale properties are automatically processed in the human auditory cortex. Gene Expression Patterns, 1117, 162-174. https://doi.org/10.1016/j.brainres.2006.08.023

Burunat, I., Brattico, E., Hartmann, M., Vuust, P., Särkämö, T. & Toiviainen, P. (2018). Musical training predicts cerebello-hippocampal coupling during music listening. Psychomusicology: Music, Mind & Brain, 28(3), 152-163.

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

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

Teki, S., Kumar, S., von Kriegstein, K., Stewart, L., Lyness, C. R., Moore, B. C. J., Capleton, B. & Griffiths, T. D. (2012). Navigating the auditory scene: an expert role for the hippocampus. The Journal of neuroscience : the official journal of the Society for Neuroscience, 32(35), 12251-7. https://doi.org/10.1523/JNEUROSCI.0082-12.2012

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

Engel, A., Hoefle, S., Monteiro, M. C., Moll, J. & Keller, P. E. (2022). Neural Correlates of Listening to Varying Synchrony Between Beats in Samba Percussion and Relations to Feeling the Groove. Frontiers in Neuroscience, 16, [779964]. https://doi.org/10.3389/fnins.2022.779964

Cameron, D. J., Zioga, I., Lindsen, J. P., Pearce, M. T., Wiggins, G. A., Potter, K. & Bhattacharya, J. (2019). Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms. Experimental Brain Research, 237(8), 1981-1991. https://doi.org/10.1007/s00221-019-05557-4

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

Zou, L-Q., Zhou, H-Y., Zhuang, Y., van Hartevelt, T. J., Lui, S. S. Y., Cheung, E. F. C., Møller, A., Kringelbach, M. L. & Chan, R. C. K. (2018). Neural responses during the anticipation and receipt of olfactory reward and punishment in human. Neuropsychologia, 111, 172-179. https://doi.org/10.1016/j.neuropsychologia.2018.02.003

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Hella Kastbjerg