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Fasano, M. C., Cabral, J., Stevner, A., Cantou, P., Vuust, P., Siemens Lorenzen, I., Brattico, E. & Kringelbach, M. L. (2019). Music attracts orbitofrontal reward brain network in early adolescence: An fMRI study. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

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

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

Fasano, M. C., Semeraro, C., Cassibba, R., Vuust, P., Kringelbach, M. L. & Brattico, E. (2021). The effects of a learner-centred music training program on intrinsic and extrinsic motivation. Poster session presented at The Neurosciences and Music VII - Connecting with music across the lifespan.

Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2023). The early adolescent brain on music: Analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. Human Brain Mapping, 44(2), 429-446. https://doi.org/10.1002/hbm.26060

Fasano, M. C., Brattico, E., Lorenzen, I. S., Gargiulo, A., Kringelbach, M. L., Semeraro, C. & Cassibba, R. (2022). The impact of orchestral playing on children's lives. In T. Chemi, E. Brattico, L. Overby Fjorback & L. Harmat (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 106-123). Routledge. https://doi.org/10.4324/9781003158790-9

Fasano, M. C., Lazarov, A., Willert, M. V., Dalgaard, V. L. P., Watson, L. A., Kringelbach, M. L. & Jønsson, T. F. (2024). Eye-tracking burnout and depression: Investigating attention allocation to different emotional cues in work-related stress and depression. Poster session presented at Forskningsdag, Randers, Denmark.

Farrugia, N., Jakubowski, K., Cusack, R. & Stewart, L. (2015). Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure. Consciousness and Cognition, 35, 66-77. https://doi.org/10.1016/j.concog.2015.04.020

Farinha, M., Amado, C., Morgado, P. & Cabral, J. (2022). Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task. Frontiers in Neuroscience, 16, Article 821179. https://doi.org/10.3389/fnins.2022.821179

Fairhurst, M. T., Tajadura-Jiménez, A., Keller, P. E. & Deroy, O. (2023). You, me, and us: Maintaining self-other distinction enhances coordination, agency, and affect. iScience, 26(12), Article 108253. https://doi.org/10.1016/j.isci.2023.108253

Etani, T., Miura, A., Kawase, S., Fujii, S., Keller, P. E., Vuust, P. & Kudo, K. (2024). A review of psychological and neuroscientific research on musical groove. Neuroscience and Biobehavioral Reviews, 158, Article 105522. https://doi.org/10.1016/j.neubiorev.2023.105522

Escrichs, A., Perl, Y. S., Uribe, C., Camara, E., Türker, B., Pyatigorskaya, N., López-González, A., Pallavicini, C., Panda, R., Annen, J., Gosseries, O., Laureys, S., Naccache, L., Sitt, J. D., Laufs, H., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2022). Unifying turbulent dynamics framework distinguishes different brain states. Communications Biology, 5(1), Article 638. https://doi.org/10.1038/s42003-022-03576-6

Escrichs, A., Sanz Perl, Y., Martínez-Molina, N., Biarnes, C., Garre-Olmo, J., Fernández-Real, J. M., Ramos, R., Martí, R., Pamplona, R., Brugada, R., Serena, J., Ramió-Torrentà, L., Coll-De-Tuero, G., Gallart, L., Barretina, J., Vilanova, J. C., Mayneris-Perxachs, J., Saba, L., Pedraza, S. ... Deco, G. (2023). The effect of external stimulation on functional networks in the aging healthy human brain. Cerebral Cortex, 33(1), 235-245. https://doi.org/10.1093/cercor/bhac064

Escrichs, A., Sanz Perl, Y., Fisher, P. M., Martínez-Molina, N., G-Guzman, E., Frokjaer, V. G., Kringelbach, M. L., Knudsen, G. M. & Deco, G. (2025). Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder. Molecular Psychiatry, 30(3), 1069-1079. Article 110074. https://doi.org/10.1038/s41380-024-02690-7

Eraifej, J., Cabral, J., Fernandes, H. M., Kahan, J., He, S., Mancini, L., Thornton, J., White, M., Yousry, T., Zrinzo, L., Akram, H., Limousin, P., Foltynie, T., Aziz, T. Z., Deco, G., Kringelbach, M. & Green, A. L. (2023). Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation. Network Neuroscience, 7(2), 478-495. https://doi.org/10.1162/netn_a_00297

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. PsyArXiv. https://doi.org/10.31234/osf.io/wtnax

Engler, B. H., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. Scientific Reports, 14(1), Article 14876. https://doi.org/10.1038/s41598-024-65788-6

Engler, B., Zamm, A. & Møller, C. (2024). Spontaneous rates are consistent across domains of behavior involving different biomechanical constraints and cognitive demands.

Engler, B., Zamm, A. & Møller, C. (2024). The complex dynamics of spontaneous rates in musicians and non-musicians: Intra-individual stability and inter-individual differences. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Engel, A., Hoefle, S., Monteiro, M. C., Moll, J. & Keller, P. E. (2022). Neural Correlates of Listening to Varying Synchrony Between Beats in Samba Percussion and Relations to Feeling the Groove. Frontiers in Neuroscience, 16, Article 779964. https://doi.org/10.3389/fnins.2022.779964

Ellison, D., Moisseinen, N., Facher, J. & Brattico, E. (2015). Affective versus cognitive neural responses to musical chords in adults: an ERP and behavioural study. Psychomusicology: Music, Mind & Brain, 25(4), 423.

Eleuteri, V., van der Werff, J., Wilhelm, W., Soldati, A., Crockford, C., Desai, N., Fedurek, P., Fitzgerald, M., Graham, K. E., Koops, K., Pruetz, J., Samuni, L., Slocombe, K., Stoeger, A., Wilson, M. L., Wittig, R. M., Zuberbühler, K., Camara, H. D., Mamy, G. ... Hobaiter, C. (2025). Chimpanzee drumming shows rhythmicity and subspecies variation. Current Biology, 35(10), 2448-2456.e4. https://doi.org/10.1016/j.cub.2025.04.019

Duffy, S. & Pearce, M. (2018). What makes rhythms hard to perform? An investigation using Steve Reich’s Clapping Music. PLOS ONE, 13(10), e0205847. Article e0205847. https://doi.org/10.1371/journal.pone.0205847

Duengen, D., Fitch, W. T. & Ravignani, A. (2023). Hoover the talking seal. Current biology : CB, 33(2), R50-R52. https://doi.org/10.1016/j.cub.2022.12.023

Duengen, D. & Ravignani, A. (2023). The paradox of learned song in a semi-solitary mammal. Ethology, 129(9), 445-453. https://doi.org/10.1111/eth.13385

Duengen, D., Jadoul, Y. & Ravignani, A. (2024). Vocal usage learning and vocal comprehension learning in harbor seals. BMC Neuroscience, 25, Article 48. https://doi.org/10.1186/s12868-024-00899-4

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., Lindenberger, U. & Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Donaire, A., Padilla, N., Escrichs, A., Khawja, M., Setoain, X., Rumia, J., Roldan, P., Bargallo, N., Boget, T., Pintor, L., Centeno, M., Conde, E., Vernet, O., Buendía, J., Manzanares, I., Ådén, U., Carreño, M., Kringelbach, M. & Deco, G. (2024). Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework. Cerebral cortex (New York, N.Y. : 1991), 34(10), Article bhae419. https://doi.org/10.1093/cercor/bhae419

Dohn, A., Garza-Villarreal, E. A., Chakravarty, M., Hansen, M., Lerch, J. & Vuust, P. (2015). Gray- and White-Matter Anatomy of Absolute Pitch Possessors. Cerebral Cortex, 25(5), 1379-1388. https://doi.org/10.1093/cercor/bht334

Di Stefano, N., Vuust, P. & Brattico, E. (2022). Consonance and dissonance perception: A critical review of the historical sources, multidisciplinary findings, and main hypotheses. Physics of Life Reviews, 43, 273-304. https://doi.org/10.1016/j.plrev.2022.10.004

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

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

De Reus, K., Carlson, D., Lowry, A., Gross, S., Garcia, M., Rubio-Garcia, A., Salazar-Casals, A. & Ravignani, A. (2022). Vocal tract allometry in a mammalian vocal learner. Journal of Experimental Biology, 225(8), Article jeb243766. https://doi.org/10.1242/jeb.243766

De Gregorio, C., Maiolini, M., Raimondi, T., Carugati, F., Miaretsoa, L., Valente, D., Torti, V., Giacoma, C., Ravignani, A. & Gamba, M. (2024). Isochrony as ancestral condition to call and song in a primate. Annals of the New York Academy of Sciences, 1537(1), 41-50. https://doi.org/10.1111/nyas.15151

De Gregorio, C., Raimondi, T., Bevilacqua, V., Pertosa, C., Valente, D., Carugati, F., Bandoli, F., Favaro, L., Lefaux, B., Ravignani, A. & Gamba, M. (2024). Isochronous singing in 3 crested gibbon species (Nomascus spp.). Current Zoology, 70(3), 291-297. https://doi.org/10.1093/cz/zoad029

de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences (PNAS), 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

De Filippi, E., Uribe, C., Avila-Varela, D. S., Martínez-Molina, N., Gashaj, V., Pritschet, L., Santander, T., Jacobs, E. G., Kringelbach, M. L., Sanz Perl, Y., Deco, G. & Escrichs, A. (2021). The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics. Frontiers in Neuroscience, 15, Article 753820. https://doi.org/10.3389/fnins.2021.753820

De Deckere, P. & Kleber, B. A. (2023). The neural mechanisms underlying affective responses to sound. Abstract from PhD Day 2023, Aarhus, Denmark.

De Deckere, P. & Kleber, B. A. (Ed.) (2023). Inducing self-related Emotion Evaluation by Modulating the Speaking Voice during Brain Imaging. Paper presented at International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. & Kleber, B. A. (Ed.) (2023). Inducing self-related Emotion Evaluation by Modulating the Speaking Voice during Brain Imaging. Abstract from International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Poster session presented at International Conference on Music Perception and Cognition - The Asia-Pacific Society for the Cognitive Sciences of Music, Tokyo, Japan.

De Deckere, P. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Poster session presented at SysMus23 - 16th International Conference of Students of Systematic Musicology, Sheffield, United Kingdom.

De Deckere, P., Matthews, T., Pando Naude, V. M. & Vuust, P. (2024). The role of dopamine in the pleasurable urge to move to music, rhythm perception and production. Abstract from Phd Day 2024, Aarhus, Denmark.

De Deckere, P., Aucouturier, J.-J., Vuust, P. & Kleber, B. A. (2023). Inducing self-related emotion evaluation by modulating the speaking voice during brain imaging. Abstract from SysMus23 - 16th International Conference of Students of Systematic Musicology, Sheffield, United Kingdom.

Deco, G., Tononi, G., Boly, M. & Kringelbach, M. L. (2015). Rethinking segregation and integration: contributions of whole-brain modelling. Nature Reviews. Neuroscience, 16(7), 430-9. https://doi.org/10.1038/nrn3963

Deco, G. & Kringelbach, M. L. (2016). Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. Trends in Neurosciences, 39(3), 125-35. https://doi.org/10.1016/j.tins.2016.01.001

Deco, G., Van Hartevelt, T. J., Fernandes, H. M., Stevner, A. & Kringelbach, M. L. (2017). The most relevant human brain regions for functional connectivity: Evidence for a dynamical workspace of binding nodes from whole-brain computational modelling. NeuroImage, 146, 197-210. https://doi.org/10.1016/j.neuroimage.2016.10.047

Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J. & Kringelbach, M. L. (2017). Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. NeuroImage, 152(152), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

Deco, G. & Kringelbach, M. L. (2017). Hierarchy of Information Processing in the Brain: A Novel 'Intrinsic Ignition' Framework. Neuron, 94(5), 961-968. https://doi.org/10.1016/j.neuron.2017.03.028

Deco, G., Kringelbach, M. L., Jirsa, V. K. & Ritter, P. (2017). The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. Scientific Reports, 7(1), 3095. Article 3095. https://doi.org/10.1038/s41598-017-03073-5

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Revised 20.09.2024

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