Aarhus University Seal

Our publications

Sort by: Date | Author | Title

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. (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.
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 (PNAS), 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117
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
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
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
Tiihonen, T. M. (2020). Multimodality of Affect From concept to neurophysiology. [PhD dissertation, Aarhus University].
Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, Article 116191. https://doi.org/10.1016/j.neuroimage.2019.116191
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
Ajaj, T., Blankertz, B., Alter, K. & Grube, M. (2019). Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. Poster session presented at Annual Meeting of the German Neuroscience Foundation , Göttingen, Germany.
Alexander Kleber, B. (2019). Increased insula connectivity with speech motor regions in trained singers during resting-state. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.
Alexander Kleber, B. (2019). The neural correlates of musical improvisation in trained and untrained singers. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.
Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG & MEG.. Poster session presented at The Predictive Brain Conference, Marseille, France.
Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Tracing rhythmic regularity processing in EEG and MEG.. Poster session presented at Engineering in Medicine & Biology Conference (EMBC) .
Brattico, E. & Varankaitė, U. (2019). Aesthetic empowerment through music. Musicae Scientiae, 23(3), 285-303. https://doi.org/10.1177/1029864919850606
Brattico, E. (2019). The empirical aesthetics of music. In M. Nadal & O. Vartanian (Eds.), The Oxford Handbook of Empirical Aesthetics (pp. 573-604). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198824350.013.26
Brattico, E. (2019). The neuroaesthetics of music: A research agenda coming of age. In M. Thaut & D. Hodges (Eds.), The Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.15
Bro, M. L., Johansen, C., Vuust, P., Enggaard, L., Himmelstrup, B., Mourits-Andersen, T., Brown, P., d'Amore, F., Andersen, E. A. W., Abildgaard, N. & Gram, J. (2019). Effects of live music during chemotherapy in lymphoma patients: a randomized, controlled, multi-center trial. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 27(10), 3887-3896. https://doi.org/10.1007/s00520-019-04666-8
Cameron, D. J., Zioga, I., Lindsen, J. P., Pearce, M. T., Wiggins, G. A., Potter, K. & Bhattacharya, J. (2019). Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms. Experimental Brain Research, 237(8), 1981-1991. https://doi.org/10.1007/s00221-019-05557-4
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
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
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