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Center for Music in the Brain

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Galadí, J. A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NeuroImage, 244, [118551]. https://doi.org/10.1016/j.neuroimage.2021.118551

Floridou, G. A., Williamson, V. J. & Stewart, L. (2016). A novel indirect method for capturing involuntary musical imagery under varying cognitive load. Quarterly Journal of Experimental Psychology, 1-11. https://doi.org/10.1080/17470218.2016.1227860

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), [493]. https://doi.org/10.3390/foods9040493

Fjaeldstad, A., Kjaergaard, T., van Hartevelt, T. J., Moeller, A., Kringelbach, M. L. & Ovesen, T. (2015). Olfactory screening: Validation of Sniffin' Sticks in Denmark. Clinical Otolaryngology, 40(6), 545-550. https://doi.org/10.1111/coa.12405

Fjaeldstad, A. W., Nørgaard, H. J. & Fernandes, H. M. (2019). The Impact of Acoustic fMRI-Noise on Olfactory Sensitivity and Perception. Neuroscience, 406, 262-267. https://doi.org/10.1016/j.neuroscience.2019.03.028

Fjaeldstad, A. W., Konieczny, D. T., Fernandes, H., Gaini, L. M., Vejlø, M. & Sandberg, K. (2022). The relationship between individual significance of olfaction and measured olfactory function. Current Research in Behavioral Sciences, 3, [100076]. https://doi.org/10.1016/j.crbeha.2022.100076

Fjaeldstad, A. W., Stiller-Stut, F., Gleesborg, C., Kringelbach, M. L., Hummel, T. & Fernandes, H. M. (2021). Validation of Olfactory Network Based on Brain Structural Connectivity and Its Association With Olfactory Test Scores. Frontiers in Systems Neuroscience, 15, [638053]. https://doi.org/10.3389/fnsys.2021.638053

Finkel, S., Veit, R., Lotze, M., Friberg, A., Vuust, P., Soekadar, S., Birbaumer, N. & Kleber, B. (2019). Intermittent theta burst stimulation over right somatosensory larynx cortex enhances vocal pitch-regulation in nonsingers. Human Brain Mapping, 40(7), 2174-2187. https://doi.org/10.1002/hbm.24515

Fink, L. K., Warrenburg, L. A., Howlin, C., Randall, W. M., Hansen, N. C. & Wald-Fuhrmann, M. (2021). Viral tunes: changes in musical behaviours and interest in coronamusic predict socio-emotional coping during COVID-19 lockdown. Humanities and social sciences communications, 8, [180]. https://doi.org/10.1057/s41599-021-00858-y

Figueroa, C. A., Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G., Expert, P., Schene, A. H., Kringelbach, M. L. & Ruhé, H. G. (2019). Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Human Brain Mapping, 40(9), 2771-2786. https://doi.org/10.1002/hbm.24559

Fernández-Rubio, G., Brattico, E., Kotz, S. A., Kringelbach, M. L., Vuust, P. & Bonetti, L. (2022). Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences. Communications Biology, 5(1), [1272]. https://doi.org/10.1038/s42003-022-04217-8

Fernández Rubio, G., Carlomagno, F., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences. PNAS Nexus, 1(4), 1-10. [pgac21]. https://doi.org/10.1093/pnasnexus/pgac216

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), [13638]. https://doi.org/10.1038/s41598-019-50093-4

Fernandes, H. M., van Hartevelt, T. J., Boccard, S. G. J., Owen, S. L. F., Cabral, J., Deco, G., Green, A. L., Fitzgerald, J. J., Aziz, T. Z. & Kringelbach, M. L. (2015). Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome. New Journal of Physics, 17(1), 015001. http://stacks.iop.org/1367-2630/17/i=1/a=015001

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., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V., Vuust, P. & Brattico, E. (2019). Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study. Frontiers in Psychology, 10(750).

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

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, [821179]. https://doi.org/10.3389/fnins.2022.821179

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), [638]. https://doi.org/10.1038/s42003-022-03576-6

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, [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.

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

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

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), [1141]. https://doi.org/10.3390/brainsci11091141

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 of the United States of America, 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, [583]. https://doi.org/10.1038/s41467-018-08186-7

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), [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., 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). https://doi.org/10.1523/ENEURO.0106-17.2017

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), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

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), [572]. https://doi.org/10.1038/s42003-022-03505-7

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. https://doi.org/10.1038/s41598-017-03073-5

Deco, G., Van Hartevelt, T. J., Fernandes, H. M., Stevner, A. & Kringelbach, M. L. (2016). 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), [108471]. https://doi.org/10.1016/j.celrep.2020.108471

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

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), [jeb243766]. https://doi.org/10.1242/jeb.243766

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, [753820]. https://doi.org/10.3389/fnins.2021.753820

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

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

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

Displaying results 551 to 600 out of 677

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