Our publications

Nwebube, C., Glover, V. & Stewart, L. (2017). Prenatal listening to songs composed for pregnancy and symptoms of anxiety and depression: A pilot study. BMC Complementary and Alternative Medicine, 17(1), Article 256. https://doi.org/10.1186/s12906-017-1759-3

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

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

Gebauer, L., Kringelbach, M. L. & Vuust, P. (2015). Predictive coding links perception, action, and learning to emotions in music. Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews, 13, 50-52. https://doi.org/10.1016/j.plrev.2015.04.023

Mencke, I., Quiroga-Martinez, D. R., Omigie, D., Michalareas, G., Schwarzacher, F., Haumann, N. T., Vuust, P. & Brattico, E. (2021). Prediction under uncertainty: Dissociating sensory from cognitive expectations in highly uncertain musical contexts. Brain Research, 1773, Article 147664. https://doi.org/10.1016/j.brainres.2021.147664

Ross, S., Brattico, E., Herrojo Ruiz, M. & Stewart, L. (2017). Predicting pitch from action in expert musicians. Poster session presented at Aarhus University Graduate School of Health, PhD Day 2017, Aarhus, Denmark.

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A. & Zatorre, R. J. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning? The Journal of neuroscience : the official journal of the Society for Neuroscience, 39(47), 9397-9409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019

Takegata, R., Brattico, E., Tervaniemi, M., Varyagina, O., Naatanen, R. & Winkler, M. (2005). Preattentive representation of feature conjunctions for concurrent spatially distributed auditory objects. Brain Research, 25(1), 169-179. https://doi.org/10.1016/j.cogbrainres.2005.05.006

Seppanen, M., Brattico, E. & Tervaniemi, M. (2007). Practice strategies of musicians modulate neural processing and the learning of sound-patterns. Neurobiology of Learning and Memory, 87(2), 236-247. https://doi.org/10.1016/j.nlm.2006.08.011

Harrison, P. M. C., Bianco, R., Chait, M. & Pearce, M. T. (2020). PPM-Decay: A computational model of auditory prediction with memory decay. PLOS Computational Biology, 16(11), Article e1008304. https://doi.org/10.1371/journal.pcbi.1008304

Stark, E. A., Parsons, C. E., Hartevelt, T. J. V., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A. & Kringelbach, M. L. (2015). Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies. Neuroscience & Biobehavioral Reviews, 56, 207-221. https://doi.org/10.1016/j.neubiorev.2015.07.007

Berridge, K. C. & Kringelbach, M. L. (2015). Pleasure Systems in the Brain. Neuron, 86(3), 646-664. https://doi.org/10.1016/j.neuron.2015.02.018

Fjældstad, A., van Hartevelt, T. J. & Kringelbach, M. L. (2016). Pleasure of Food in the Brain. In B. Piqueras-Fiszman & C. Spence (Eds.), Multisensory Flavor Perception: From Fundamental Neuroscience Through to the Marketplace (pp. 211-234). Woodhead Publishing. https://doi.org/10.1016/B978-0-08-100350-3.00011-0

Gold, B. P., Frank, M. J., Bogert, B. & Brattico, E. (2013). Pleasurable music affects reinforcement learning according to the listener. Frontiers in Psychology, 4, Article 541. https://doi.org/10.3389/fpsyg.2013.00541

Heggli, O. A., Vuust, P. & Kringelbach, M. L. (2019). Please Please Me! The Pleasure of Music in the Brain. In The Routledge Companion to Music, Mind and Well-being (pp. 205-218). Routledge.

Møller, C., Højlund, A., Hansen, N. C. & Vuust, P. (2018). Pitch-related mismatch negativity as an index of musical aptitude. Poster session presented at MMN2018: The 8th Mismatch Negativity conference, Helsinki, Finland.

Kaasgaard, M., Rasmussen, D. B., Løkke, A., Vuust, P., Hilberg, O. & Bodtger, U. (2022). Physiological changes related to 10 weeks of singing for lung health in patients with COPD. B M J Open Respiratory Research, 9(1), Article e001206. https://doi.org/10.1136/bmjresp-2022-001206

Møller, C. (2018). Ph.d-stafet: At høre med øjnene. P Psykologernes fagmagasin, 4. årgang(10), 26-28.

Ahrends, C., Bravo, F., Kringelbach, M. L., Vuust, P. & Rohrmeier, M. A. (2019). Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty. Scientific Reports, 9, Article 12177. https://doi.org/10.1038/s41598-019-48707-y

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), Article e1009139. https://doi.org/10.1371/journal.pcbi.1009139

Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A. & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56. Advance online publication. https://doi.org/10.1016/j.neuroimage.2017.12.009

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex musical context: Testing a more realistic mismatch negativity (MMN) paradigm. Poster session presented at MEG NORD 2017, Aarhus, Denmark.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex musical context: Testing a more realistic mismatch negativity paradigm. Abstract from European Society for Cognitive Sciences Of Music (ESCOM), Ghent, Belgium.

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). Perceptual processing of a complex auditory context: testing a new dichotic multifeature mismatch negativity (MMN) paradigm. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

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

Petersen, B., Sørensen, S. D., Pedersen, E. R. & Vuust, P. (2014). Perception of Music and Speech in Adolescents with Cochlear Implants – A Pilot Study on Effects of Intensive Musical Ear Training. Abstract from International Symposium on Auditory and Audiological Research ISAAR 2013 “Auditory plasticity – Listening with the brain”, Nyborg, Denmark. http://www.audiological-library.gnresound.dk/External/GN/ral.nsf/0/78C01CC3887DAB75C1257E3900281551/$FILE/225-232,%20Chapter%2023,%20Perception%20of%20music%20and%20speech%20in%20adolescents%20with%20cochlear%20implants%20%E2%80%93%20A%20pilot%20study%20on%20effects%20of%20intensive%20musical%20ear%20training,%20BJ%C3%98RN%20PETERSEN,%20STINE%20DERDAU%20S%C3%98RENSEN.pdf

Petersen, B., Sørensen, S. D., Pedersen, E. R. & Vuust, P. (2014). Perception of music and speech in adolescents with cochlear implants - A pilot study on effects of intensive musical ear training.

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

Brattico, E. & Sassanelli, F. (2000). Perception and musical preferences in Wishart's work. Journal of New Music Research, 29(2), 107-119.

Williamson, V. J., Liu, F., Peryer, G., Grierson, M. & Stewart, L. (2012). Perception and action de-coupling in congenital amusia: sensitivity to task demands. Neuropsychologia, 50(1), 172-80. https://doi.org/10.1016/j.neuropsychologia.2011.11.015

Matthews, T. E., Witek, M. A. G., Thibodeau, J. L. N., Vuust, P. & Penhune, V. B. (2022). Perceived Motor Synchrony With the Beat is More Strongly Related to Groove Than Measured Synchrony. Music Perception, 39(5), 423-442. https://doi.org/10.1525/MP.2022.39.5.423

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), Article 86. https://doi.org/10.1038/s41531-021-00222-6

Gebauer, L., Witek, M., Hansen, N. C., Thomas, J., Konvalinka, I. & Vuust, P. (2016). Oxytocin improves synchronisation in leader-follower interaction. Scientific Reports, 6, Article 38416. Advance online publication. https://doi.org/10.1038/srep38416

Hansen, N. C. & Keller, P. E. (2021). Oxytocin as an allostatic agent in the social bonding effects of music. Behavioral and Brain Sciences, 44, 61-64. Article 75. https://doi.org/10.1017/S0140525X20001235

Kleber, B., Birbaumer, Veit, Trevorrow & Lotze (2007). Overt and imagined singing of an Italian aria. NeuroImage, 36(3), 889-900.

Shestakova, A., Brattico, E., Soloviev, A., Klucharev, U. & Huotilainen, M. (2004). Orderly cortical representation of vowel categories presented by multiple exemplars. Brain Research, 21(3), 342-350. https://doi.org/10.1016/j.cogbrainres.2004.06.011

Criscuolo, A., Bonetti, L., Sarkamo, T., Kliuchko, M. & Brattico, E. (2019). On the Association Between Musical Training, Intelligence and Executive Functions in Adulthood. Frontiers in Psychology, 10(JULY), Article 1704. https://doi.org/10.3389/fpsyg.2019.01704

Deco, G., Sanz Perl, Y., Ponce-Alvarez, A., Tagliazucchi, E., Whybrow, P. C., Fuster, J. & Kringelbach, M. L. (2023). One ring to rule them all: The unifying role of prefrontal cortex in steering task-related brain dynamics. Progress in Neurobiology, 227, Article 102468. https://doi.org/10.1016/j.pneurobio.2023.102468

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

Fjaeldstad, A., Kjaergaard, T., van Hartevelt, T. J., Moeller, A., Kringelbach, M. L. & Ovesen, T. (2015). Olfactory screening: Validation of Sniffin' Sticks in Denmark. Clinical Otolaryngology, 40(6), 545-550. Advance online publication. https://doi.org/10.1111/coa.12405

van Hartevelt, T. J. (2014). Olfactory Functioning in Parkinson's Disease: The Effects of Deep Brain Stimulation.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Poster session presented at 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Hansen, N. C. (2015). Nye perspektiver på studiet af musikalsk ekspertise. Dansk Musikforskning Online, Special Issue 2015: Music and Brain Research, 69-102. http://danishmusicologyonline.dk/arkiv/arkiv_dmo/dmo_saernummer_2015/dmo_saernummer_2015_musik_hjerneforskning_04.pdf

Vuust, P., Dietz, M., Witek, M. & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. Advance online publication. https://doi.org/10.1111/nyas.13622

Deco, G., Tagliazucchi, E., Laufs, H., Sanjuán, A. & Kringelbach, M. L. (2017). Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep. eNeuro , 4(5), Article e0106-17.2017. https://doi.org/10.1523/ENEURO.0106-17.2017

Fernandes, H. M., van Hartevelt, T. J., Boccard, S. G. J., Owen, S. L. F., Cabral, J., Deco, G., Green, A. L., Fitzgerald, J. J., Aziz, T. Z. & Kringelbach, M. L. (2015). Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome. New Journal of Physics, 17(1), 015001. http://stacks.iop.org/1367-2630/17/i=1/a=015001

Tewarie, P. K. B., Hindriks, R., Lai, Y. M., Sotiropoulos, S. N., Kringelbach, M. & Deco, G. (2023). Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage, 276, Article 120186. https://doi.org/10.1016/j.neuroimage.2023.120186

Hansen, N. C., Sadakata, M. & Pearce, M. (2016). Nonlinear Changes in the Rhythm of European Art Music: Quantitative Support for Historical Musicology. Music Perception, 33(4), 414. Article 2. https://doi.org/10.1525/mp.2016.33.4.414

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Revised 26.03.2021

Hella Kastbjerg