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Da Mota, P. A., Fernandes, H. M., Lourenço Queiroga, A. T., Stark, E., Vohryzek, J., Cabral, J., Heggli, O. A., Sousa, N., Deco, G., Kringelbach, M. & Vuust, P. (2025). Creativity in Music: The Brain Dynamics of Jazz Improvisation. Annals of the New York Academy of Sciences, 1553(1), 350-362. https://doi.org/10.1111/nyas.70042

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

Dai, R., Toiviainen, P., Campo, F., Cantou, P., Fasano, M. C., Kleber, B. A., Vuust, P. & Brattico, E. (2025). Differences in dynamic functional connectivity between naturalistic music listening and rest in preadolescents. Frontiers in Human Neuroscience, 19, Article 1651074. https://doi.org/10.3389/fnhum.2025.1651074, https://doi.org/10.3389/fnhum.2025.1651074

Dai, R., Toiviainen, P., Campo, F. F. & Brattico, E. (2025). Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening. Frontiers in Neuroscience, 19, Article 1649733. https://doi.org/10.3389/fnins.2025.1649733

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

Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Perl, Y. S., Kringelbach, M. L., Laureys, S. & Deco, G. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLoS Computational Biology, 20(5), Article e1011350. https://doi.org/10.1371/journal.pcbi.1011350

Daffertshofer, A., Ton, R., Pietras, B., Kringelbach, M. L. & Deco, G. (2018). Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage, 180, 428-441. https://doi.org/10.1016/j.neuroimage.2018.03.070

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Cruzat, J., Deco, G., Tauste-Campo, A., Principe, A., Costa, A., Kringelbach, M. L. & Rocamora, R. (2018). The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG. NeuroImage, 172, 492-505. https://doi.org/10.1016/j.neuroimage.2018.01.064

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., Kringelbach, M. L., Deco, G., Tagliazucchi, E. & Ibañez, A. (2023). Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease. The Journal of Neuroscience, 43(9), 1643-1656. https://doi.org/10.1523/JNEUROSCI.1312-22.2022

Cruzat, J., Perl, Y. S., Escrichs, A., Vohryzek, J., Timmermann, C., Roseman, L., Luppi, A. I., Ibañez, A., Nutt, D., Carhart-Harris, R., Tagliazucchi, E., Deco, G. & Kringelbach, M. L. (2022). Effects of classic psychedelic drugs on turbulent signatures in brain dynamics. Network Neuroscience, 6(4), 1104-1124. https://doi.org/10.1162/netn_a_00250

Crisp, R. & Kringelbach, M. (2018). Higher and Lower Pleasures Revisited: Evidence from Neuroscience. Neuroethics, 11(2), 211-215. https://doi.org/10.1007/s12152-017-9339-2

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

Criscuolo, A., Pando-Naude, V., Bonetti, L., Vuust, P. & Brattico, E. (2022). An ALE meta-analytic review of musical expertise. Scientific Reports, 12(1), Article 11726. https://doi.org/10.1038/s41598-022-14959-4

Criscuolo, A. & Brattico, E. (2023). Fundamentals of Electroencephalography and Magnetoencephalography. In Language Electrified: Principles, Methods, and Future Perspectives of Investigation (pp. 163-194). Humana Press. https://doi.org/10.1007/978-1-0716-3263-5_6

Criscuolo, A., Schwartze, M., Bonetti, L. & Kotz, SA. (2025). Aging Impacts Basic Auditory and Timing Processes. European Journal of Neuroscience, 61(5), Article e70031. https://doi.org/10.1111/ejn.70031

Crespo-Bojorque, P., Celma-Miralles, A. & Toro, J. M. (2022). Detecting surface changes in a familiar tune: exploring pitch, tempo and timbre. Animal Cognition, 25(4), 951-960. https://doi.org/10.1007/s10071-022-01604-w

Costa, M. & Bonetti, L. (2016). Geometrical factors in the perception of sacredness. Perception, 45(11), 1240-1266. https://doi.org/10.1177/0301006616654159

Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

Costa, M. & Bonetti, L. (2017). Linear perspective and framing in the vista paradox. Perception, 46(11), 1245-1268. https://doi.org/10.1177/0301006617713091

Costa, M. & Bonetti, L. (2018). Geometrical distortions in large-scale cognitive geographical maps. Journal of Environmental Psychology, 55, 53-69. https://doi.org/10.1016/j.jenvp.2017.12.004

Costa, M., Bonetti, L., VIgnali, V., Lantieri, C. & Simone, A. (2018). The role of peripheral vision in vertical road sign identification and discrimination. Ergonomics, 61(12), 1619-1634. https://doi.org/10.1080/00140139.2018.1508756

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Costa, M., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2025). EEG Correlates of Auditory Short-Term Memory and Dissimilarity Perception in Young and Older Adults. European Journal of Neuroscience, 61(12), Article e70166. https://doi.org/10.1111/ejn.70166

Corcoran, C., Stupacher, J. & Vuust, P. (2022). Swinging the Score? Swing Phrasing Cannot Be Communicated via Explicit Notation Instructions Alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/MP.2022.39.4.386

Cook, P. F., Flem, S., Madsen, P. T., Ravignani, A., Gremore, P., Hood, C., Jadoul, Y., Papageorgiou, D., Pedersen, M., Raimondi, T., Rouse, A., Sørensen, P. M., Videsen, S. & King, S. L. (2026). Marine mammals as models for charting the evolution of social vocal rhythm. BMC Biology, 24(1), Article 175. https://doi.org/10.1186/s12915-026-02675-8

Cong, F., Puolivali, T., Alluri, V., Sipola, T., Burunat, I., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2014). Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis. Journal of Neuroscience Methods, 223, 74-84. https://doi.org/10.1016/j.jneumeth.2013.11.025

Colafiglio, T., Lombardi, A., Sorino, P., Brattico, E., Lofu, D., Danese, D., Di Sciascio, E., Di Noia, T. & Narducci, F. (2024). NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. IEEE Access, 12, 159296-159315. https://doi.org/10.1109/ACCESS.2024.3487932

Coissac, C., Ferreri, L., Gamba, M., Ravignani, A. & Jadoul, Y. (2026). The Emergence of a Universal Rhythmic Feature: Simple Models Can Produce Categorical Rhythms. Annals of the New York Academy of Sciences, 1558(1), Article e70262. https://doi.org/10.1111/nyas.70262

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.

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), Article 4517. https://doi.org/10.1038/s41598-021-83983-7

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

Coelho, A., Magalhães, R., Moreira, P. S., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C., Sousa, N. & Fernandes, H. M. (2022). A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort. Human Brain Mapping, 43(8), 2419-2443. https://doi.org/10.1002/hbm.25773

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

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, Article 105729. https://doi.org/10.1016/j.bandc.2021.105729

Clemente, A., Pearce, M. T. & Nadal, M. (2022). Musical Aesthetic Sensitivity. Psychology of Aesthetics, Creativity, and the Arts, 16(1), 58-73. https://doi.org/10.1037/aca0000381

Clemente, A., Kaplan, T. M. & Pearce, M. T. (2024). Perceptual representations mediate effects of stimulus properties on liking for music. Annals of the New York Academy of Sciences, 1533(1), 169-180. https://doi.org/10.1111/nyas.15106

Choubey, A., Morgan, S., Genovese, S., van Buijtene, T., Saberi, A., Partmann, A., Sabhapondit, B., George, M., O'Leary, T. & Hu, Z. (2025). Sleeping Soundly: an Interdisciplinary Approach to Communicating Individual Sleep Experiences Through a Shared Sonic Domain. In Proceedings of Conference on Sonification of Health and Environmental Data (SoniHED 2025) https://doi.org/10.5281/zenodo.15032422

Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J. D. & Koelsch, S. (2019). Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity. Current Biology, 29(23), 4084-4092.e4. https://doi.org/10.1016/j.cub.2019.09.067

Cheung, V. K. M., Harrison, P. M. C., Koelsch, S., Pearce, M. T., Friederici, A. D. & Meyer, L. (2024). Cognitive and sensory expectations independently shape musical expectancy and pleasure. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220420. https://doi.org/10.1098/rstb.2022.0420

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (Eds.) (2022). Arts and mindfulness education for human flourishing. Taylor & Francis. https://doi.org/10.4324/9781003158790

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (2022). Introduction: A gaze into a complex jigsaw. In T. Chemi, E. Brattico, L. O. Fjorback & L. Harmat (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 1-8). Taylor & Francis. https://doi.org/10.4324/9781003158790-1

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (2022). Conclusion: A beam of light to conclude with. In T. Chemi, E. Brattico, L. O. Fjorback & L. Harma (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 285-287). Taylor & Francis. https://doi.org/10.4324/9781003158790-21

Charquero-Ballester, M., Kleim, B., Vidaurre, D., Ruff, C., Stark, E., Tuulari, J. J., McManners, H., Bar-Haim, Y., Bouquillon, L., Moseley, A., Williams, S. C. R., Woolrich, M. W., Kringelbach, M. L. & Ehlers, A. (2022). Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks. Human Brain Mapping, 43(10), 3207-3220. https://doi.org/10.1002/hbm.25846

Chan, R. C. K. & Kringelbach, M. L. (2016). Editorial: At Risk for Neuropsychiatric Disorders: An Affective Neuroscience Approach to Understanding the Spectrum. Frontiers in Behavioral Neuroscience, 10(AUG), Article 165. https://doi.org/10.3389/fnbeh.2016.00165

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

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.

Celma-Miralles, A., Møller, C., Stupacher, J. & Vuust, P. (2021). Neural entrainment to an ambiguous polyrhythm with distinct metrical contexts (a pilot study). Abstract from Rhythm Production and Perception Workshop 2021, Oslo, Norway. https://www.uio.no/ritmo/english/news-and-events/events/conferences/2021/RPPW/videos/talks/121%20celma-miralles.mp4?vrtx=view-as-webpage

Celma-Miralles, A., Kleber, B. A., Toro, J. M. & Vuust, P. (2021). Neural entrainment facilitates duplets: Frequency-tagging differentiates musicians and non-musicians when they tap to the beat. bioRxiv. https://doi.org/10.1101/2021.02.15.431304

Displaying results 801 to 850 out of 1006

Revised 20.09.2024

Hella Kastbjerg