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Center for Music in the Brain

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Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Saenger, V. M., Kahan, J., Foltynie, T., Friston, K., Aziz, T. Z., Green, A. L., van Hartevelt, T. J., Cabral, J., Stevner, A. B. A., Fernandes, H. M., Mancini, L., Thornton, J., Yousry, T., Limousin, P., Zrinzo, L., Hariz, M., Marques, P., Sousa, N., Kringelbach, M. L. & Deco, G. (2017). Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson's disease. Scientific Reports, 7(1), 9882. https://doi.org/10.1038/s41598-017-10003-y

Sabharwal, S. R., Varlet, M., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2022). huSync - A model and system for the measure of synchronization in small groups: A case study on musical joint action. IEEE Access, 10, 92357-92372. https://doi.org/10.1109/ACCESS.2022.3202959

Saarikallio, S., Nieminen, S. & Brattico, E. (2013). Affective reactions to musical stimuli reflect emotional use of music in everyday life. Musicae Scientiae, 17(1), 27-39. https://doi.org/10.1177/1029864912462381

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), [708]. https://doi.org/10.1038/s41598-018-19177-5

Rømer Thomsen, K., Whybrow, P. C. & Kringelbach, M. L. (2015). Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain. Frontiers in Behavioral Neuroscience, 9(49). https://doi.org/10.3389/fnbeh.2015.00049

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network neuroscience (Cambridge, Mass.), 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), [854]. https://doi.org/10.1038/s42003-021-02369-7

Rosso, M., Heggli, O. A., Maes, P. J., Vuust, P. & Leman, M. (2022). Mutual beta power modulation in dyadic entrainment. NeuroImage, 257, [119326]. https://doi.org/10.1016/j.neuroimage.2022.119326

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Riem, M. M. E., van Ijzendoorn, M. H., Parsons, C. E., Young, K. S., De Carli, P., Kringelbach, M. L. & Bakermans-Kranenburg, M. J. (2017). Experimental manipulation of infant temperament affects amygdala functional connectivity. Cognitive, Affective & Behavioral Neuroscience, 17(4), 858-868. https://doi.org/10.3758/s13415-017-0518-8

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, [560877]. https://doi.org/10.3389/fpsyg.2020.560877

Rayson, H., Parsons, C. E., Young, K. S., Goodacre, T. E. E., Kringelbach, M. L., Bonaiuto, J. J., McSorley, E. & Murray, L. (2017). Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness". Cleft Palate - Craniofacial Journal, 54(5), 562-70. https://doi.org/10.1597/16-015

Ravignani, A., Lumaca, M. & Kotz, S. A. (2022). Interhemispheric Brain Communication and the Evolution of Turn-Taking in Mammals. Frontiers in Ecology and Evolution, 10, [916956]. https://doi.org/10.3389/fevo.2022.916956

Ravignani, A., Thompson, B., Lumaca, M. & Grube, M. (2018). Why do durations in musical rhythms conform to small integer ratios? Frontiers in Computational Neuroscience, 12.

Quiroga-Martinez, D. R., Basiński, K., Nasielski, J., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2022). Enhanced mismatch negativity in harmonic compared with inharmonic sounds. European Journal of Neuroscience, 56(5), 4583-4599. https://doi.org/10.1111/ejn.15769

Quiroga-Martinez, D. R., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2021). Listeners with congenital amusia are sensitive to context uncertainty in melodic sequences. Neuropsychologia, 158, [107911]. https://doi.org/10.1016/j.neuropsychologia.2021.107911

Quiroga-Martinez, D. R., Hansen, N. C., Hojlund, A., Pearce, M., Brattico, E., Holmes, E., Friston, K. & Vuust, P. (2021). Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Human Brain Mapping, 42(17), 5595-5608. https://doi.org/10.1002/hbm.25638

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, [116816]. https://doi.org/10.1016/j.neuroimage.2020.116816

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, 51(11), 2250-2269. https://doi.org/10.1111/ejn.14667

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Quarto, T., Blasi, G., Pallesen, K. J., Bertolino, A. & Brattico, E. (2014). Implicit Processing of Visual Emotions Is Affected by Sound-Induced Affective States and Individual Affective Traits. P L o S One, 9(7), [103278]. https://doi.org/10.1371/journal.pone.0103278

Quarto, T., Fasano, M. C., Taurisano, P., Fazio, L., Antonucci, L. A., Gelao, B., Romano, R., Mancini, M., Porcelli, A., Masellis, R., Pallesen, K. J., Bertolino, A., Blasi, G. & Brattico, E. (2017). Interaction between DRD2 variation and sound environment on mood and emotion-related brain activity. Neuroscience, 341, 9-17. https://doi.org/10.1016/j.neuroscience.2016.11.010

Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B. & Deco, G. (2022). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex, 32(2), 298-311. https://doi.org/10.1093/cercor/bhab209

Politimou, N., Douglass-Kirk, P., Pearce, M., Stewart, L. & Franco, F. (2021). Melodic expectations in 5- and 6-year-old children. Journal of Experimental Child Psychology, 203, [105020]. https://doi.org/10.1016/j.jecp.2020.105020

Poikonen, H., Alluri, V., Brattico, E., Lartillot, O., Tervaniemi, M. & Huotilainen, M. (2016). Event-related brain responses while listening to entire pieces of music. Neuroscience, 312, 58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

Petersen, B., Weed, E., Sandmann, P., Brattico, E., Hansen, M., Sørensen, S. D. & Vuust, P. (2015). Brain responses to musical feature changes in adolescent cochlear implant users. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2015.00007

Petersen, B. (2017). Musical Ear Training Through Active Music Making in Adolescent CI Users. Bits and Pieces, CICS Cochlear Implanted Children's Support Group, (Summer Newsletter), 13-17.

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, [2]. https://doi.org/10.3389/fnins.2020.00002

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, [110069]. https://doi.org/10.1016/j.chaos.2020.110069

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S. & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLOS Computational Biology, 17(7), [e1009139]. https://doi.org/10.1371/journal.pcbi.1009139

Perl, Y. S., Escrichs, A., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2022). Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics. PLOS Computational Biology, 18(11), [e1010662]. https://doi.org/10.1371/journal.pcbi.1010662

Peretz, T., Brattico, E. & Tervaniemi, M. (2005). Abnormal electrical brain responses to pitch in congenital amusia. Annals of Neurology, 58(3), 478-482. https://doi.org/10.1002/ana.20606

Peretz, I., Brattico, E., Jarvenpaa, M. & Tervaniemi, M. (2009). The amusic brain: in tune, out of key, and unaware. Brain, 132, 1277-1286. https://doi.org/10.1093/brain/awp055

Pereira, C. S., Teixeira, J., Figueiredo, P., Xavier, J., Castro, S. L. & Brattico, E. (2011). Music and emotions in the brain: Familiarity matters. P L o S One, 6(11), [27241]. https://doi.org/10.1371/journal.pone.0027241

Peng-Li, D., Alves da Mota, P., Costa Correa, C. M., Chan, R. C. K., Byrne, D. V. & Wang, Q. J. (2022). “Sound” Decisions: The Combined Role of Ambient Noise and Cognitive Regulation on the Neurophysiology of Food Cravings. Frontiers in Neuroscience, 16, [827021]. https://doi.org/10.3389/fnins.2022.827021

Pearce, M. (2018). Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences, 1423, 378-395. https://doi.org/10.1111/nyas.13654

Parsons, C. & Lyddy, F. (2015). A longitudinal study of early reading development in two languages: comparing literacy outcomes in Irish immersion, English medium and Gaeltacht schools. International Journal of Bilingual Education and Bilingualism. https://doi.org/10.1080/13670050.2015.1019412

Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E-M., Vuust, P., Stein, A. & Kringelbach, M. L. (2017). Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women. Scientific Reports, 7(1), [1727]. https://doi.org/10.1038/s41598-017-01776-3

Parsons, C. E., Young, K. S., Jegindø, E-M. E., Stein, A. & Kringelbach, M. L. (2016). Interpreting infant emotional expressions: Parenthood has differential effects on men and women. Quarterly Journal of Experimental Psychology, 1-11. https://doi.org/10.1080/17470218.2016.1141967

Parsons, C., Young, K. S., Jegindø, E-M. E., Vuust, P., Stein, A. & Kringelbach, M. L. (2014). Music training and empathy positively impact adults' sensitivity to infant distress. Frontiers in Psychology, 5, 1440. https://doi.org/10.3389/fpsyg.2014.01440

Parsons, C. E., Young, K. S., Murray, L., Stein, A. & Kringelbach, M. L. (2010). The functional neuroanatomy of the evolving parent-infant relationship. Progress in Neurobiology, 91(3), 220-41. https://doi.org/10.1016/j.pneurobio.2010.03.001

Parsons, C., Stark, E. A., Young, K. S., Stein, A. & Kringelbach, M. L. (2013). Understanding the human parental brain. A critical role of the orbitofrontal cortex. Social Neuroscience, 8(6), 525-43. https://doi.org/10.1080/17470919.2013.842610

Pando-Naude, V., Patyczek, A., Bonetti, L. & Vuust, P. (2021). An ALE meta-analytic review of top-down and bottom-up processing of music in the brain. Scientific Reports, 11(1), [20813]. https://doi.org/10.1038/s41598-021-00139-3

Pando-Naude, V., Barrios, F. A., Alcauter, S., Pasaye, E. H., Vase, L., Brattico, E., Vuust, P. & Garza-Villarreal, E. A. (2019). Functional connectivity of music-induced analgesia in fibromyalgia. Scientific Reports, 9, [15486]. https://doi.org/10.1038/s41598-019-51990-4

Pando-Naude, V., Toxto, S., Fernandez-Lozano, S., Parsons, C. E., Alcauter, S. & Garza-Villarreal, E. A. (2021). Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis. Translational Psychiatry, 11(1), [29]. https://doi.org/10.1038/s41398-020-01128-2

Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J., Gjedde, A. & Carlson, S. (2010). Cognitive control in auditory working memory is enhanced in musicians. P L o S One, 5(6), [11120]. https://doi.org/10.1371/journal.pone.0011120

Paldam, E., Roepstorff, A., Steensgaard, R., Lundsgård, S. S., Steensig, J. & Gebauer, L. (2022). A robot or a dumper truck? Facilitating play-based social learning across neurotypes. Autism & Developmental Language Impairments, 7. https://doi.org/10.1177/23969415221086714

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

Displaying results 351 to 400 out of 652

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Revised 26.03.2021

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