Find

Center for Music in the Brain

Our publications

Hansen, N. C., Treider, J. M. G., Swarbrick, D., Bamford, J. S., Wilson, J. & Vuoskoski, J. K. (2021). A Crowd-Sourced Database of Coronamusic: Documenting Online Making and Sharing of Music During the COVID-19 Pandemic. Frontiers in Psychology, 12, [684083]. https://doi.org/10.3389/fpsyg.2021.684083

Heggli, O. A., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2021). A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1835), [20200332]. https://doi.org/10.1098/rstb.2020.0332

Bruzzone, S. E. P., Trusbak Haumann, N., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Applying Spike-density component analysis for high-accuracy auditory event-related potentials in children. Clinical Neurophysiology, 132(8), 1887-1896. https://doi.org/10.1016/j.clinph.2021.05.007

Hansen, N. N. & Reymore, L. (2021). Articulatory motor planning and timbral idiosyncrasies as underlying mechanisms of instrument-specific absolute pitch in expert musicians. PLOS ONE, 16(2 ), [e0247136]. https://doi.org/10.1371/journal.pone.0247136

Møller, C. (2021). At klappe i takt. Turbulens.net : forum for samtidsrefleksion. https://turbulens.net/at-klappe-i-takt/

Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M. & Vuust, P. (2021). Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study. Scientific Reports, 11(1), [4324]. https://doi.org/10.1038/s41598-021-83135-x

Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D. & Grube, M. (2021). Auditory beat perception is related to speech output fluency in post-stroke aphasia. Scientific Reports, 11, [3168]. https://doi.org/10.1038/s41598-021-82809-w

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). Autistic Cognition: Charting Routes to Anxiety. Trends in Cognitive Sciences, 25(7), 571-581. https://doi.org/10.1016/j.tics.2021.03.014

Desser, D., Assunção, F., Yan, X., Alves, V., Fernandes, H. & Hummel, T. (2021). Automatic segmentation of the olfactory bulb. Brain sciences, 11(9), [1141]. https://doi.org/10.3390/brainsci11091141

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Time is structured in binary units. PLOS ONE, 16(8 ), [e0252174]. https://doi.org/10.1371/journal.pone.0252174

Bonetti, L., Bruzzone, S. E. P., Sedghi, N. A., Haumann, N. T., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Brain predictive coding processes are associated to COMT gene Val158Met polymorphism. NeuroImage, 233, [117954]. https://doi.org/10.1016/j.neuroimage.2021.117954

Wang, Q. J., Barbosa Escobar, F., Mathiesen, S. L. & Alves da Mota, P. (2021). Can Eating Make Us More Creative? A Multisensory Perspective. Foods, 10(2), [469]. https://doi.org/10.3390/foods10020469

Galadí, J. A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NeuroImage, 244, [118551]. https://doi.org/10.1016/j.neuroimage.2021.118551

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), [854]. https://doi.org/10.1038/s42003-021-02369-7

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), [eabf4752]. https://doi.org/10.1126/sciadv.abf4752

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

Clemente, A., Pearce, M. T., Skov, M. & Nadal, M. (2021). Evaluative judgment across domains: Liking balance, contour, symmetry and complexity in melodies and visual designs. Brain and Cognition, 151, [105729]. https://doi.org/10.1016/j.bandc.2021.105729

Trusbak Haumann, N., Lumaca, M., Kliuchko, M., Santacruz, J. L., Vuust, P. & Brattico, E. (2021). Extracting human cortical responses to sound onsets and acoustic feature changes in real music, and their relation to event rate. Brain Research, 1754, [147248]. https://doi.org/10.1016/j.brainres.2020.147248

Glomb, K., Kringelbach, M. L., Deco, G., Hagmann, P., Pearson, J. & Atasoy, S. (2021). Functional harmonics reveal multi-dimensional basis functions underlying cortical organization. Cell Reports, 36(8), [109554]. https://doi.org/10.1016/j.celrep.2021.109554

Wang, Q. J., Barbosa Escobar, F., Alves da Mota, P. & Velasco, C. (2021). Getting Started with Virtual Reality for Sensory and Consumer Science: Current practices and future perspectives. Food Research International, 145, [110410]. https://doi.org/10.1016/j.foodres.2021.110410

Aqil, M., Atasoy, S., Kringelbach, M. L. & Hindriks, R. (2021). Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. PLOS Computational Biology, 17(1), [e1008310]. https://doi.org/10.1371/JOURNAL.PCBI.1008310

Pando-Naude, V., Toxto, S., Fernandez-Lozano, S., Parsons, C. E., Alcauter, S. & Garza-Villarreal, E. A. (2021). Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis. Translational Psychiatry, 11(1), [29]. https://doi.org/10.1038/s41398-020-01128-2

Signorelli, C. M., Uhrig, L., Kringelbach, M., Jarraya, B. & Deco, G. (2021). Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss. NeuroImage, 227, [117618]. https://doi.org/10.1016/j.neuroimage.2020.117618

Jobst, B. M., Atasoy, S., Ponce-Alvarez, A., Sanjuán, A., Roseman, L., Kaelen, M., Carhart-Harris, R., Kringelbach, M. L. & Deco, G. (2021). Increased sensitivity to strong perturbations in a whole-brain model of LSD. NeuroImage, 230, [117809]. https://doi.org/10.1016/j.neuroimage.2021.117809

Bonetti, L., Brattico, E., Vuust, P., Kliuchko, M. & Saarikallio, S. (2021). Intelligence and Music: Lower Intelligent Quotient Is Associated With Higher Use of Music for Experiencing Strong Sensations. Empirical Studies of the Arts, 39(2), 194-215. https://doi.org/10.1177/0276237420951414

Wang, Q. J., Fernandes, H. & Fjaeldstad, A. W. (2021). Is perceptual learning generalisable in the chemical senses? A longitudinal pilot study based on a naturalistic blind wine tasting training scenario. Chemosensory Perception, 14(2), 64-74. https://doi.org/10.1007/s12078-020-09284-x

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

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

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

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

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

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

Hansen, N. C. & Keller, P. E. (2021). Oxytocin as an allostatic agent in the social bonding effects of music. Behavioral and Brain Sciences, 44, [e75]. https://doi.org/10.1017/S0140525X20001235

Tiihonen, M., Westner, B. U., Butz, M. & Dalal, S. S. (2021). Parkinson’s disease patients benefit from bicycling - a systematic review and meta-analysis. npj Parkinson's Disease, 7(1), [86]. https://doi.org/10.1038/s41531-021-00222-6

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

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S. & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLOS Computational Biology, 17(7), [e1009139]. https://doi.org/10.1371/journal.pcbi.1009139

Hansen, N. C., Kragness, H. E., Vuust, P., Trainor, L. & Pearce, M. T. (2021). Predictive Uncertainty Underlies Auditory Boundary Perception. Psychological Science, 32(9), 1416-1425. https://doi.org/10.1177/0956797621997349

Brattico, E., Bonetti, L., Ferretti, G., Vuust, P. & Matrone, C. (2021). Putting Cells in Motion: Advantages of Endogenous Boosting of BDNF Production. Cells, 10(1), [183]. https://doi.org/10.3390/cells10010183

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

Deco, G., Vidaurre Henche, D. & Kringelbach, M. L. (2021). Revisiting the global workspace orchestrating the hierarchical organization of the human brain. Nature Human Behaviour, 5(4), 497-511. https://doi.org/10.1038/s41562-020-01003-6

Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, [117470]. https://doi.org/10.1016/j.neuroimage.2020.117470

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), [4517]. https://doi.org/10.1038/s41598-021-83983-7

Foster Vander Elst, O., Vuust, P. & Kringelbach, M. L. (2021). Sweet anticipation and positive emotions in music, groove, and dance. Current Opinion in Behavioral Sciences, 39, 79-84. https://doi.org/10.1016/j.cobeha.2021.02.016

Shoemark, H., Dahlstrøm, M., Bedford, O. & Stewart, L. (2021). The effect of a voice-centered psycho-educational program on maternal self-efficacy: A feasibility study. International Journal of Environmental Research and Public Health, 18(5), [2537]. https://doi.org/10.3390/ijerph18052537

Heggli, O. A., Konvalinka, I., Cabral, J., Brattico, E., Kringelbach, M. & Vuust, P. (2021). Transient brain networks underlying interpersonal strategies during synchronized action. Social Cognitive and Affective Neuroscience, 16(1-2), 19-30. https://doi.org/10.1093/scan/nsaa056

Fink, L. K., Warrenburg, L. A., Howlin, C., Randall, W. M., Hansen, N. C. & Wald-Fuhrmann, M. (2021). Viral tunes: changes in musical behaviours and interest in coronamusic predict socio-emotional coping during COVID-19 lockdown. Humanities and social sciences communications, 8, [180]. https://doi.org/10.1057/s41599-021-00858-y

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 and Function, 226(6), 1943–1959. https://doi.org/10.1007/s00429-021-02302-y

Clemente, A., Vila-Vidal, M., Pearce, M. T., Aguiló, G., Corradi, G. & Nadal, M. (2020). A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments. Behavior Research Methods, 52(4), 1491-1509. https://doi.org/10.3758/s13428-019-01329-8

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, [560877]. https://doi.org/10.3389/fpsyg.2020.560877

Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S. & Vuust, P. (2020). A critical cross-cultural study of sensorimotor and groove responses to syncopation among Ghanaian and American university students and staff. Music Perception, 37(4), 278-297. https://doi.org/10.1525/MP.2020.37.4.278

Displaying results 1 to 50 out of 547

1

Revised 26.03.2021 -

Hella Kastbjerg