Our publications

2019

Contribution to conference

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music – Two Novel EEG-Paradigms for Measuring Discrimination of Music in 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). The Sound of Music: Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

2019

Working Paper

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2019). Learning of complex auditory patterns changes intrinsic and feedforward effective connectivity between Heschl’s gyrus and planum temporale. bioRxiv. https://doi.org/10.1101/848416

2020

Contribution to journal

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, Article 102299. https://doi.org/10.1016/j.nicl.2020.102299

Alonso Martínez, S., Deco, G., Ter Horst, G. J. & Cabral, J. (2020). The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample. Frontiers in Neural Circuits, 14, Article 570583. https://doi.org/10.3389/fncir.2020.570583

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, Article e56073. https://doi.org/10.7554/eLife.56073

Celma-Miralles, A. & Toro, J. M. (2020). Non-human animals detect the rhythmic structure of a familiar tune. Psychonomic Bulletin and Review, 27(4), 694-699. https://doi.org/10.3758/s13423-020-01739-2

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

Deco, G. & Kringelbach, M. L. (2020). Turbulent-like Dynamics in the Human Brain. Cell Reports, 33(10), Article 108471. https://doi.org/10.1016/j.celrep.2020.108471

Fasano, M. C., Glerean, E., Gold, B. P., Sheng, D., Sams, M., Vuust, P., Rauschecker, J. P. & Brattico, E. (2020). Inter-subject Similarity of Brain Activity in Expert Musicians After Multimodal Learning: A Behavioral and Neuroimaging Study on Learning to Play a Piano Sonata. Neuroscience, 441, 102-116. https://doi.org/10.1016/j.neuroscience.2020.06.015

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), Article 493. https://doi.org/10.3390/foods9040493

Hansen, N. C. (2020). The expectancy dynamics of anti-tonal twelve-tone rows: a commentary and reanalysis of von Hippel & Huron (2020). Empirical Musicology Review, 15(1-2), 128-140. https://doi.org/10.18061/emr.v15i1-2.7806

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

Harrison, P. M. C. & Pearce, M. T. (2020). Simultaneous Consonance in Music Perception and Composition. Psychological Review, 127(2), 216-244. https://doi.org/10.1037/rev0000169

Hove, M. J., Martinez, S. A. & Stupacher, J. (2020). Feel the bass: Music presented to tactile and auditory modalities increases aesthetic appreciation and body movement. Journal of Experimental Psychology: General, 149(6), 1137-1147. https://doi.org/10.1037/xge0000708

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, Article 116833. https://doi.org/10.1016/j.neuroimage.2020.116833

Jespersen, K. V., Madsen, J. & Vuust, P. (2020). Bedtime Music for Sleep Problems in older Adults with Dementia: a pilot feasibility Study. Music and Medicine, 12(4), 222-230. https://mmd.iammonline.com/index.php/musmed/index

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), Article e12901. https://doi.org/10.1111/jsr.12901

Kaasgaard, M., Andersen, I. C., Rasmussen, D. B., Hilberg, O., Løkke, A., Vuust, P. & Bodtger, U. (2020). Heterogeneity in Danish lung choirs and their singing leaders: delivery, approach, and experiences: a survey-based study. BMJ Open, 10(11), Article e041700. https://doi.org/10.1136/bmjopen-2020-041700

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, 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117

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. Advance online publication. https://doi.org/10.1002/aur.2379

Padilla, N., Saenger, V. M., van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R., Kringelbach, M., Deco, G. & Åden, U. (2020). Breakdown of Whole-brain Dynamics in Preterm-born Children. Cerebral Cortex, 30(3), 1159-1170. https://doi.org/10.1093/cercor/bhz156

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, Article 110069. https://doi.org/10.1016/j.chaos.2020.110069

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, Article 2. https://doi.org/10.3389/fnins.2020.00002

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. Advance online publication. https://doi.org/10.1016/j.neuroimage.2020.116816

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. Advance online publication. https://doi.org/10.1111/ejn.14667

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

Schiavio, A., Stupacher, J., Parncutt, R. & Timmers, R. (2020). Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception, 37(5), 403-422. https://doi.org/10.1525/mp.2020.37.5.403

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2020). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10(1), Article 10015. https://doi.org/10.1038/s41598-020-66529-1

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, Article 116191. Advance online publication. https://doi.org/10.1016/j.neuroimage.2019.116191

Trusbak Haumann, N., Hansen, B., Huotilainen, M., Vuust, P. & Brattico, E. (2020). Applying stochastic spike train theory for high-accuracy human MEG/EEG. Journal of Neuroscience Methods, 340, Article 108743. https://doi.org/10.1016/j.jneumeth.2020.108743

Vohryzek, J., Deco, G., Cessac, B., Kringelbach, M. L. & Cabral, J. (2020). Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience, 14, Article 20. https://doi.org/10.3389/fnsys.2020.00020

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

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020). Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style. Journal of Cognitive Neuroscience, 32(12), 2241-2259. https://doi.org/10.1162/jocn_a_01614

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, Article 116311. https://doi.org/10.1016/j.neuroimage.2019.116311

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

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

Atasoy, S., Deco, G. & Kringelbach, M. L. (2020). Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind: Comment on “Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience” ” Georg Northoff et al. Physics of Life Reviews, 33, 67-69. Advance online publication. https://doi.org/10.1016/j.plrev.2019.10.001

Vila-Vidal, M., Capouskova, K., Atasoy, S., Kringelbach, M. L. & Deco, G. (2020). Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on “Is temporo-spatial dynamics the ‘common currency’ of brain and mind? In Quest of ‘Spatiotemporal Neuroscience’ ” by Georg Northoff et al. Physics of Life Reviews, 33, 64-66. Advance online publication. https://doi.org/10.1016/j.plrev.2019.10.004

Kaasgaard, M., Rasmussen, D. B., Ottesen, A. L., Vuust, P., Hilberg, O. & Bødtger, U. (2020). Sing-a-Lung: Group singing as training modality in pulmonary rehabilitation for patients with Chronic Obstructive Pulmonary Disease (COPD): A multicenter, cluster-randomised, non-inferiority, controlled trial. European Respiratory Journal, 56(Suppl 64), 4663. https://doi.org/10.1183/13993003.congress-2020.4663

2020

Contribution to book anthology

Brattico, E. & Trusbak Haumann, N. (2020). Musicology. In D. L. Worthington & G. D. Bodie (Eds.), The Handbook of Listening (pp. 199-215). Wiley. https://doi.org/10.1002/9781119554189.ch12

Cohen, A. J., Levitin, D. & Alexander Kleber, B. (2020). Brain mechanisms underlying singing. In F. A. Russo, B. Ilari & A. J. Cohen (Eds.), The Routledge Companion to Interdisciplinary Studies in Singing, Volume I: Development (pp. 79-96). Routledge.

Dahlstrøm, M., Stewart, L. & Shoemark, H. (2020). The Potential of The Human Voice for Early Parent–infant Interactions in at-risk Populations. In R. Heydon, D. Fancourt & A. J. Cohen (Eds.), The Routledge Companion to Interdisciplinary Studies in Singing (Vol. III: Wellbeing, pp. 42-49). Routledge. https://doi.org/10.4324/9781315162546-3

Moorthigari, V., Carlson, E., Toiviainen, P., Brattico, E. & Alluri, V. (2020). Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.), Brain informatics (pp. 107-117). Springer. https://doi.org/10.1007/978-3-030-59277-6_10

Rosselló, J., Celma-Miralles, A. & Dias Martins, M. (2020). Visual recursion develops in absence of linguistic recursion. A case-report. In Proceedings of the 13th International Conference Evolution of Language (pp. 371-373). https://brussels.evolang.org/proceedings/evolang13_proceedings.pdf

2020

Contribution to conference

Celma-Miralles, A., Alexander Kleber, B., Toro, J. & Vuust, P. (2020). The subdivision benefit in the brain. Poster session presented at Brain. Cognition. Emotion. Music. Conference, Leeds, United Kingdom.

Jespersen, K. V. (2020). Altered functional connectivity in insomnia disorder. Abstract from 25th Congress of the European Sleep Research Society.

Jespersen, K. V. (2020). Music intervention for insomnia disorder: a randomized controlled trial. Abstract from 25th Congress of the European Sleep Research Society.

2020

Working Paper

Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2020). The early adolescent brain on music: analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. bioRxiv. https://doi.org/10.1101/2020.06.18.148072

Displaying results 451 to 500 out of 708

Revised 26.03.2021

Hella Kastbjerg