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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. 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

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., Jadoul, Y. & Ravignani, A. (2025). A harbor seal (Phoca vitulina) shows extensive respiratory control in sound production. BMC Ecology and Evolution, 25(1), Article 90. https://doi.org/10.1186/s12862-025-02404-9

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

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., 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 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 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

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

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, Article 583. https://doi.org/10.1038/s41467-018-08186-7

Deco, G., Sanz Perl, Y. & Kringelbach, M. L. (2025). Complex harmonics reveal low-dimensional manifolds of critical brain dynamics. Physical Review E, 111(1), Article 014410. https://doi.org/10.1103/PhysRevE.111.014410

Deco, G., Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., Aquino, K. M. & Fornito, A. (2021). Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape. Science Advances, 7(29), Article eabf4752. https://doi.org/10.1126/sciadv.abf4752

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., Kemp, M. & Kringelbach, M. L. (2021). Leonardo da Vinci and the search for order in neuroscience. Current Biology, 31(11), R704-R709. https://doi.org/10.1016/j.cub.2021.03.098

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., Perl, Y. S. & Kringelbach, M. L. (2025). Non-local Schrödinger diffusion model reveals mechanisms of critical brain dynamics. Cell Reports Physical Science, 6(7), Article 102663. https://doi.org/10.1016/j.xcrp.2025.102663

Deco, G., Tagliazucchi, E., Laufs, H., Sanjuán, A. & Kringelbach, M. L. (2017). Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep. eNeuro , 4(5), Article e0106-17.2017. https://doi.org/10.1523/ENEURO.0106-17.2017

Deco, G., Sanz Perl, Y., Ponce-Alvarez, A., Tagliazucchi, E., Whybrow, P. C., Fuster, J. & Kringelbach, M. L. (2023). One ring to rule them all: The unifying role of prefrontal cortex in steering task-related brain dynamics. Progress in Neurobiology, 227, Article 102468. https://doi.org/10.1016/j.pneurobio.2023.102468

Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A. & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56. https://doi.org/10.1016/j.neuroimage.2017.12.009

Deco, G., Sanz Perl, Y., Vuust, P., Tagliazucchi, E., Kennedy, H. & Kringelbach, M. L. (2021). Rare long-range cortical connections enhance human information processing. Current Biology, 31(20), 4436-4448.e5. https://doi.org/10.1016/j.cub.2021.07.064

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., Vidaurre Henche, D. & Kringelbach, M. L. (2021). Revisiting the global workspace orchestrating the hierarchical organization of the human brain. Nature Human Behaviour, 5(4), 497-511. https://doi.org/10.1038/s41562-020-01003-6

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., 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

Deco, G., Liebana Garcia, S., Sanz Perl, Y., Sporns, O. & Kringelbach, M. L. (2023). The effect of turbulence in brain dynamics information transfer measured with magnetoencephalography. Communications Physics, 6(1), Article 74. https://doi.org/10.1038/s42005-023-01192-2

Deco, G., Sanz Perl, Y., Bocaccio, H., Tagliazucchi, E. & Kringelbach, M. L. (2022). The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states. Communications Biology, 5(1), Article 572. https://doi.org/10.1038/s42003-022-03505-7

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. & Kringelbach, M. L. (2020). Turbulent-like Dynamics in the Human Brain. Cell Reports, 33(10), Article 108471. https://doi.org/10.1016/j.celrep.2020.108471

Deco, G., Lynn, C. W., Sanz Perl, Y. & Kringelbach, M. L. (2023). Violations of the fluctuation-dissipation theorem reveal distinct nonequilibrium dynamics of brain states. Physical Review E, 108(6), Article 064410. https://doi.org/10.1103/PhysRevE.108.064410

Deco, G., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., Logothetis, N. K. & Kringelbach, M. L. (2018). Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD. Current Biology, 28(19), 3065-+. https://doi.org/10.1016/j.cub.2018.07.083

Danielsen, A., Waadeland, C. H., Sundt, H. G. & Witek, M. A. G. (2015). Effects of instructed timing and tempo on snare drum sound in drum kit performance. Acoustical Society of America. Journal, 138(4), 2301-2316. https://doi.org/10.1121/1.4930950

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. Advance online publication. https://doi.org/10.1037/aca0000681

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

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

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

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

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., 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

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

Displaying results 801 to 850 out of 963

Revised 20.09.2024

Hella Kastbjerg