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Harry, B. B., Margulies, D. S., Falkiewicz, M. & Keller, P. E. (2023). Brain networks for temporal adaptation, anticipation, and sensory-motor integration in rhythmic human behavior. Neuropsychologia, 183, Article 108524. https://doi.org/10.1016/j.neuropsychologia.2023.108524

Segal, A., Charquero-Ballester, M., Vaisvasser, S., Cabral, J., Ben-Zion, Z., Vidaurre, D., Stark, E., McManners, H., Woolrich, M., Ehlers, A., Bar-Haim, Y., Hendler, T. & Kringelbach, M. L. (2025). Brain network dynamics following induced acute stress: A neural marker of psychological vulnerability to real-life chronic stress. Psychological Medicine, 55, Article e187. https://doi.org/10.1017/S0033291725100913

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.

Fjældstad, A., Fernandes, H., van Hartevelt, T. J., Gleesborg, C., Møller, A., Ovesen, T. & Kringelbach, M. L. (2017). Brain fingerprints of olfaction: a novel structural method for assessing olfactory cortical networks in health and disease. Scientific Reports, 7(7), Article 42534. https://doi.org/10.1038/srep42534

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain sciences, 8(6), Article 107. https://doi.org/10.3390/brainsci8060107

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Brain changes after learning to read and play music. NeuroImage, 20(1), 71-83.

Hansen, N. C. (2016). Born and made: Musical experts are no geniuses. In Australian Music & Psychology Society Newsletter (Vol. 4, pp. 4-5). Australian Music & Psychology Society (AMPS). https://lookaside.fbsbx.com/file/AMPS%20newsletter%20edition%204.pdf?token=AWxsuJvWln5KE4PasMr2Y7g9h3ffBqEckwbQT2c8yFfMtBNpS0EwfYQZzqZTCYPW-r_7MWWvT5VEtWrAYq16-gzhs97PluCEzaFgkh1T0DDrbMl-dI34VJDCDJkNLMxuxvGadWiVC_Iu4BAQTRR7GBpH5yoNPN3fMab3uBGaEm7O-A

Witek, M. A. G., Matthews, T. E., Bechtold, T. A. & Penhune, V. (2025). Body maps of the sensation of musical groove. PNAS Nexus, 4(10), Article pgaf306. https://doi.org/10.1093/pnasnexus/pgaf306

Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M., Deco, G., Ibáñez, A. & Tagliazucchi, E. (2024). Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition. Alzheimer's Research & Therapy, 16(1), Article 79. https://doi.org/10.1186/s13195-024-01449-0

Valente, D. & Ravignani, A. (2025). Bioacoustics and rhythm. In The Oxford Handbook of Approaches to Language Evolution (pp. 539-552). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780192886491.013.27

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

Seeberg, A. B., Matthews, T., Højlund, A., Petersen, B. & Vuust, P. (2023). Beyond syncopation: the importance of rhythmic streams for the experience of groove. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.

Seeberg, A. B., Matthews, T. E., Højlund, A., Vuust, P. & Petersen, B. (2025). Beyond syncopation: The number of rhythmic layers shapes the pleasurable urge to move to music. Cognition, 262, Article 106178. https://doi.org/10.1016/j.cognition.2025.106178

Sadaphal, D. P., Blum, C. R., Keller, P. E. & Fitch, W. T. (2025). Beyond perfect synchrony: shared interpersonal rhythmic timing enhances self-other merging judgements. Royal Society Open Science, 12(3), Article 241501. https://doi.org/10.1098/rsos.241501

Petersen, B. (2013). Behavioral and Neurological Responses to Musical Features in Adolescent Cochlear Implant Users Before and After an Intensive Musical Training Program. Poster session presented at The Neurosciences and Music - V, Dijon, France.

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://doi.org/10.47513/mmd.v12i4.765

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Becoming a pianist. An fMRI study of musical literacy acquisition. Annals of the New York Academy of Sciences, 999, 204-8.

Dai, R., Toiviainen, P., Vuust, P., Jacobsen, T. & Brattico, E. (2025). Beauty Is in the Brain Networks of the Beholder: An Exploratory Functional Magnetic Resonance Imaging Study. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000681

Brattico, E., Brusa, A., Dietz, M., Jacobsen, T., Fernandes, H. M., Gaggero, G., Toiviainen, P., Vuust, P. & Proverbio, A. M. (2025). Beauty and the brain – Investigating the neural and musical attributes of beauty during naturalistic music listening. Neuroscience, 567, 308-325. https://doi.org/10.1016/j.neuroscience.2024.12.008

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2026). Beat perception in polyrhythms is influenced by spontaneous motor tempo, musicianship, and played musical style. Psychology of Music, 54(2), 215-234. https://doi.org/10.1177/03057356241311581

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

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Units of time come in pairs. Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Radloff, S., Trusbak Haumann, N., Brandl, S., Brattico, E., Vuust, P. & Grube, M. (2019). BEAT BASED ENTRAINMENT IN THE BRAIN and the question of its relevance to auditory perception of rhythmic patterns.. Poster session presented at AU Neuroscience Day 2019.

Fjaeldstad, A., Fernandes, H., Nyengaard, J. R. & Ovesen, T. (2018). Bag om smag. Ugeskrift for Læger, 180(18).

Kliuchko, M., Heinonen-Guzejev, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2016). A window into the brain mechanisms associated with noise sensitivity. Scientific Reports, 6, 39236. Article 39236. https://doi.org/10.1038/srep39236

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K. & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences (PNAS), 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

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

Brattico, E., Olcese, C. & Tervaniemi, M. (2018). Automatic Processing of Musical Sounds in the Human Brain. In Springer Handbooks (pp. 441-452). Springer. https://doi.org/10.1007/978-3-662-55004-5_22

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358. https://doi.org/10.1007/s10803-015-2517-3

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

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P., Särkämö, T. & Näätänen, R. (2018). Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores. Brain Research, 1700, 86-98. https://doi.org/10.1016/j.brainres.2018.06.034

Brattico, E., Olcese, C. & Tervaniemi, M. (2016). Auditory sensory memory. In S. Koelsch (Ed.), Handbook of Systematic Musicology (Vol. 7). Springer. https://doi.org/10.3389/fpsyg.2016.01892

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

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

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, Article 3168. https://doi.org/10.1038/s41598-021-82809-w

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), Article 4324. https://doi.org/10.1038/s41598-021-83135-x

Boccard, S. G., Fernandes, H., Jbabdi, S., van Hartevelt, T. J., Kringelbach, M. L., Quaghebeur, G., Moir, L., Mancebo, V. P., Pereira, E. A., Fitzgerald, J. J., Green, A. L., Stein, J. & Aziz, T. Z. (2015). A tractography study of Deep Brain Stimulation of the Anterior Cingulate Cortex in chronic pain: a key to improve the targeting. World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.08.065

Burchardt, L. S., Van De Sande, Y., Kehy, M., Gamba, M., Ravignani, A. & Pouw, W. (2024). A toolkit for the dynamic study of air sacs in siamang and other elastic circular structures. PLoS Computational Biology, 20(6), Article e1012222. https://doi.org/10.1371/journal.pcbi.1012222

Mencke, I., Omigie, D., Quiroga-Martinez, D. R. & Brattico, E. (2022). Atonal Music as a Model for Investigating Exploratory Behavior. Frontiers in Neuroscience, 16, Article 793163. https://doi.org/10.3389/fnins.2022.793163

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), Article 979. https://doi.org/10.3389/fnins.2018.00979

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

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

Stupacher, J., Bechtold, T. & Senn, O. (2024). A text mining approach to the use of “groove” in everyday language. Psychology of Music, 52(3), 340-361. https://doi.org/10.1177/03057356231205883

Di Stefano, N., Vuust, P. & Brattico, E. (2024). A system sciences approach to consonance/dissonance: From biological constraints to cultural differences: Reply to comments on: “Consonance and dissonance perception. A critical review of the historical sources, multidisciplinary findings, and main hypotheses”. Physics of Life Reviews, 48, 44-46. https://doi.org/10.1016/j.plrev.2023.12.004

Spinosa, V., Brattico, E., Campo, F. & Logroscino, G. (2022). A systematic review on resting state functional connectivity in patients with neurodegenerative disease and hallucinations. NeuroImage: Clinical, 35, Article 103112. https://doi.org/10.1016/j.nicl.2022.103112

Zhao, N., Lund, H. N. & Jespersen, K. V. (2024). A systematic review and meta-analysis of music interventions to improve sleep in adults with mental health problems. European Psychiatry, 67(1), Article e62. https://doi.org/10.1192/j.eurpsy.2024.1773

Ibanez, A., Kringelbach, M. L. & Deco, G. (2024). A synergetic turn in cognitive neuroscience of brain diseases. Trends in Cognitive Sciences, 28(4), 319-338. https://doi.org/10.1016/j.tics.2023.12.006

Hoy, C. W., Quiroga-Martinez, D. R., Sandoval, E., King-Stephens, D., Laxer, K. D., Weber, P., Lin, J. J. & Knight, R. T. (2023). Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex. Nature Communications, 14(1), Article 8520. https://doi.org/10.1038/s41467-023-44248-1

Fernández Rubio, G., Carlomagno, F., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences. PNAS Nexus, 1(4), 1-10. Article pgac216. https://doi.org/10.1093/pnasnexus/pgac216

Displaying results 851 to 900 out of 977

Revised 20.09.2024

Hella Kastbjerg