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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, Article 117809. https://doi.org/10.1016/j.neuroimage.2021.117809
Jespersen, K. V., Koenig, J., Jennum, P. & Vuust, P. (2015). Music for insomnia in adults. The Cochrane Database of Systematic Reviews, 8, CD010459. https://doi.org/10.1002/14651858.CD010459.pub2
Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2017). The effect of music on insomnia - a randomized controlled trial. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.
Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2019). Altered brain connectivity in Insomnia Disorder. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.
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.
Jespersen, K. V. (2021). Music to help you fall asleep: effects and mechanisms. Poster session presented at The Neurosciences and Music VII , Aarhus.
Jespersen, K. V., Pando-Naude, V., Koenig, J., Jennum, P. & Vuust, P. (2022). Listening to music for insomnia in adults. The Cochrane Database of Systematic Reviews, 8(8), Article CD010459. https://doi.org/10.1002/14651858.CD010459.pub3
Jespersen, K. V., Gebauer, L. & Vuust, P. (2022). Music Interventions in Health Care: White paper. Center for Music in the Brain, Aarhus University.
Jespersen, K. V. (2022). A lullaby to the brain: The use of music as a sleep aid. In B. Colombo (Ed.), The Musical Neurons (pp. 53-63). Springer. https://doi.org/10.1007/978-3-031-08132-3
Jerotic, K., Vuust, P. & Kringelbach, M. L. (2024). Psychedelia: The interplay of music and psychedelics. Annals of the New York Academy of Sciences, 1531(1), 12-28. https://doi.org/10.1111/nyas.15082
Jensen, M. S., Heggli, O. A., Alves da Mota, P. & Vuust, P. (2017). A low-cost MRI compatible keyboard. In Proceedings of the international conference on new interfaces for musical expression (pp. 257-260)
James, A., Joyce, E., Lunn, D., Kenny, L., Hough, M., Ghataorhe, P., Fernandes, H., Mathews, P. & Zarei, M. (2016). Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning. European Psychiatry, 35, 32-38. https://doi.org/10.1016/j.eurpsy.2016.01.2426
Jakubowski, K., Halpern, A. R., Grierson, M. & Stewart, L. (2015). The effect of exercise-induced arousal on chosen tempi for familiar melodies. Psychonomic Bulletin & Review, 22(2), 559-65. https://doi.org/10.3758/s13423-014-0687-1
Jakubowski, K., Müllensiefen, D. & Stewart, L. (2017). A developmental study of latent absolute pitch memory. Quarterly Journal of Experimental Psychology, 70(3), 434-443. https://doi.org/10.1080/17470218.2015.1131726
Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090
Jadoul, Y., Hersh, T. A., Domingos, E. F., Gamba, M., Favaro, L. & Ravignani, A. (2025). An evolutionary model of rhythmic accelerando in animal vocal signalling. PLoS Computational Biology, 21(4), Article e1013011. https://doi.org/10.1371/journal.pcbi.1013011
Jadoul, Y., D’Orazio, F., Eleuteri, V., van der Werff, J., Tufarelli, T., Gamba, M., Raimondi, T. & Ravignani, A. (2025). Rhythmic Analysis in Animal Communication, Speech, and Music: The Normalized Pairwise Variability Index Is a Summary Statistic of Rhythm Ratios. Vibration, 8(2), Article 12. https://doi.org/10.3390/vibration8020012
Jadoul, Y., Tufarelli, T., Coissac, C., Gamba, M. & Ravignani, A. (2025). Hidden assumptions of integer ratio analyses in bioacoustics and music. Annals of the New York Academy of Sciences, 1553(1), 363-378. https://doi.org/10.1111/nyas.70037
Itzhacki, J., Te Lindert, B. H. W., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2019). Environmental light and time of day modulate subjective liking and wanting. Emotion (Washington, D.C.), 19(1), 10-20. https://doi.org/10.1037/emo0000402
Istok, E., Brattico, E., Jacobsen, T., Krohn, K., Mueller, M. & Tervaniemi, M. (2009). Aesthetic responses to music: A questionnaire study. Musicae Scientiae, 13(2), 183-206.
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
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
Hersh, T. A., Ravignani, A. & Burchardt, L. S. (2023). Robust rhythm reporting will advance ecological and evolutionary research. Methods in Ecology and Evolution, 14(6), 1398-1407. https://doi.org/10.1111/2041-210X.14118