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Center for Music in the Brain

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Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47(1), 29-52. https://doi.org/10.1080/09298215.2017.1367010

Stark, E. A., Vuust, P. & Kringelbach, M. L. (2018). Music, dance, and other art forms: New insights into the links between hedonia (pleasure) and eudaimonia (well-being). Progress in Brain Research, 237, 129-152. https://doi.org/10.1016/bs.pbr.2018.03.019

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358. https://doi.org/10.1007/s10803-015-2517-3

Stupacher, J. A. & Wood, G. (2018). Effects of cultural background and musical preference on affective social entrainment with music. In Proceedings of ICMPC15/ESCOM10 (pp. 438-441).

Te Lindert, B. H. W., Itzhacki, J., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2018). Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study. Sleep, 41(4), Article 022. https://doi.org/10.1093/sleep/zsy022

Thaler, H., Skewes, J. C., Gebauer, L., Christensen, P., Prkachin, K. M. & Jegindø Elmholdt, E.-M. (2018). Typical pain experience but underestimation of others’ pain: Emotion perception in self and others in autism spectrum disorder. Autism, 22(6), 751-762. https://doi.org/10.1177/1362361317701269

Tiihonen, T. M., Saarikallio, S., Haumann, N. T., Shtyrov, Y. & Brattico, E. (2018). Interaction of Visually and Auditorily Derived Affect: An MEG Study. Poster session presented at European Society for Cognitive and Affective Neuroscience, meeting in Leiden, 2018, Leiden, Netherlands.

Vuust, P. (2018). Groove on the Brain. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 101-110). Springer. https://doi.org/10.1007/978-3-030-01692-0_7

Vuust, P., Dietz, M., Witek, M. & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. https://doi.org/10.1111/nyas.13622

Zou, L.-Q., Zhou, H.-Y., Zhuang, Y., van Hartevelt, T. J., Lui, S. S. Y., Cheung, E. F. C., Møller, A., Kringelbach, M. L. & Chan, R. C. K. (2018). Neural responses during the anticipation and receipt of olfactory reward and punishment in human. Neuropsychologia, 111, 172-179. https://doi.org/10.1016/j.neuropsychologia.2018.02.003

Abu-Jamous, B., Liu, C., Roberts, D. J., Brattico, E. & Nandi, A. (2017). Data-driven analysis of collections of big datasets by the Bi-CoPaM method yields field-specific novel insights. In Frontiers in Electronic Technologies - Trends and Challenges (pp. 25-53). Springer. https://doi.org/10.1007/978-981-10-4235-5_2

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Connectivity patterns during music listening: Evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955-2970. https://doi.org/10.1002/hbm.23565

Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G. & Carhart-Harris, R. L. (2017). Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD. Scientific Reports, 7(1), Article 17661. https://doi.org/10.1038/s41598-017-17546-0

Bettinardi, R. G., Deco, G., Karlaftis, V. M., Van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z., Kringelbach, M. L. & Zamora-López, G. (2017). How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure. Chaos, 27(4), 047409. https://doi.org/10.1063/1.4980099

Bonetti, L., Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Mild depression enhances auditory pitch discrimination in the brain as indexed by the Mismatch Negativity. In Mild depression enhances auditory pitch discrimination in the brain as indexed by the Mismatch Negativity

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Mismatch Negativity to sound pitch deviants as a possible screening tool for depression. In Mismatch Negativity to sound pitch deviants as a possible screening tool for depression

Bonetti, L. & Costa, M. (2017). Musical mode and visual-spatial cross-modal associations in infants and adults. Musicae Scientiae, 8, Article 1218.

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Risk of depression enhances auditory Pitch discrimination in the brain as indexed by the mismatch negativity. Clinical Neurophysiology, 128(10), 1923-1936. https://doi.org/10.1016/j.clinph.2017.07.004

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P. & Näätänen, R. (2017). Working memory performance predicts the neural discrimination of sound deviants as indexed by frontal mismatch negativity: an MEG study. In Working memory performance predicts the neural discrimination of sound deviants as indexed by frontal mismatch negativity: an MEG study

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P. & Näätänen, R. (2017). Working memory regulates frontal Mismatch Negativity to sound intensity and slide deviants. Abstract from Neuroscience Day - Let's rethink memory 2017, Aarhus, Denmark.

Brattico, E. & Vuust, P. (2017). Brain-to-brain coupling and culture as prerequisites for musical interaction. In M. LeSaffre, M. Leman & P.-J. Maes (Eds.), The Routledge Companion to Embodied Music Interaction (pp. 249-257). Routledge.

Brattico, E. (2017). Commentary on" Aesthetic Experience Explained by the Affect-Space Framework" by E. Schubert, AC North & DJ Hargreaves. Empirical Musicology Reviews, 11(3-4), 350-353. https://doi.org/10.18061/emr.v11i3-4.5572

Brattico, E., Liu, C., Abu Jamous, B. & Nando, A. (2017). Exploration of distance metrics in consensus clustering analysis of FMRI data. In 2017 22nd International Conference on Digital Signal Processing, DSP 2017 Article 8096077 IEEE. https://doi.org/10.1109/ICDSP.2017.8096077

Brattico, P., Brattico, E. & Vuust, P. (2017). Global Sensory Qualities and Aesthetic Experience in Music. Frontiers in Neuroscience, 11(APR), 1-13. Article 159. https://doi.org/10.3389/fnins.2017.00159

Brattico, E., Brattico, P. & Vuust, P. (2017). The forgotten artist: Why to consider intentions and interaction in a model of aesthetic experience: Comment on "Move me, astonish me... delight my eyes and brain: The Vienna Integrated Model of top-down and bottom-up processes in Art Perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlates" by Matthew Pelowski et al. Physics of Life Reviews, 21, 128-130. https://doi.org/10.1016/j.plrev.2017.06.014

Brattico, E. & Vuust, P. (2017). The urge to judge: Why the judgmental attitude has anything to do with the aesthetic enjoyment of negative emotions. Behavioral and Brain Sciences, 40, e353. Article 353. https://doi.org/10.1017/S0140525X17001613

Brownlee, WJ., Altmann, DR., Alves Da Mota, P., Swanton, JK., Miszkiel, KA., Gandini Wheeler-Kingshott, CAM., Ciccarelli, O. & Miller, DH. (2017). Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Multiple Sclerosis Journal, 23(5), 665–674. https://doi.org/10.1177/1352458516663034

Burunat, I. & Brattico, E. (2017). Functional magnetic resonance imaging. In D. Worthington & G. D. Bodie (Eds.), The Sourcebook of Listening Research: Methodology and Measures (pp. 290-298). Wiley.

Burunat, I. & Brattico, E. (2017). Functional Magnetic Resonance Imaging (fMRI): (Belliveau et al., 1991). In The Sourcebook of Listening Research: Methodology and Measures (pp. 290-298). Wiley-Interscience. https://doi.org/10.1002/9781119102991.ch27

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N. & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135. Article 5135. https://doi.org/10.1038/s41598-017-05425-7

Cabral, J., Kringelbach, M. L. & Deco, G. (2017). Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms. NeuroImage, 160, 84-96. https://doi.org/10.1016/j.neuroimage.2017.03.045

Cantou, P., Fasano, M. C., Toiviainen, P., Alexander Kleber, B., Burunat, I., Vuust, P. & Brattico, E. (2017). Neural underpinnings of musical tension in preadolescents: a free-listening fMRI study. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Costa, M. & Bonetti, L. (2017). Linear perspective and framing in the vista paradox. Perception, 46(11), 1245-1268. https://doi.org/10.1177/0301006617713091

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., 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., 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., 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

Fasano, M. C., Glerean, E., Gold, B., Sheng, D., Sams, M., Rauschecker, J., Vuust, P. & Brattico, E. (2017). Neural changes after multimodal learning in pianists - An fMRI study. Poster session presented at Aarhus University Graduate School of Health, PhD Day 2017, Aarhus, Denmark.

Fasano, M. C., Glerean, E., Gold, B., Sheng, D., Sams, M., Rauschecker, J., Vuust, P. & Brattico, E. (2017). The brain correlates of engagement in music performance: A behavioral and fMRI study. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Fjældstad, A., Fernandes, H., van Hartevelt, T. J., Gleesborg, C., Møller, A., Ovesen, T. & Kringelbach, M. L. (2017). Brain fingerprints of olfaction: a novel structural method for assessing olfactory cortical networks in health and disease. Scientific Reports, 7(7), Article 42534. https://doi.org/10.1038/srep42534

Floridou, G. A., Williamson, V. J. & Stewart, L. (2017). A novel indirect method for capturing involuntary musical imagery under varying cognitive load. Quarterly Journal of Experimental Psychology, 70(11), 2189-2199. https://doi.org/10.1080/17470218.2016.1227860

Garza-Villarreal, E. A., Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J., Chakravarty, M., Devenyi, G. A. & Vuust, P. (2017). Conectividad cortical de V1 y giro de Heschl y su relación con la modulación visuo-auditiva en músicos y no-músicos.. Poster session presented at XXXI Reunión Anual de Investigación del Instituto Nacional de Psiquiatría, Mexico City, Mexico, Mexico City, Mexico.

Garza-Villarreal, E. A., Pando, V., Vuust, P. & Parsons, C. (2017). Music-Induced Analgesia in Chronic Pain Conditions: A Systematic Review and Meta-Analysis. Pain Physician, 20(7), 597-610.

Hansen, N. C., Dietz, M. & Vuust, P. (2017). Commentary: Predictions and the brain: how musical sounds become rewarding. Frontiers in Human Neuroscience, 11, Article 168. https://doi.org/10.3389/fnhum.2017.00168

Heinonen-Guzejev, M., Kliuchko, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2017). Studying noise sensitivity on the brain level. Abstract from 12th ICBEN Congress on Noise as a Public Health Problem, Zurich, Switzerland.

Jakubowski, K., Müllensiefen, D. & Stewart, L. (2017). A developmental study of latent absolute pitch memory. Quarterly Journal of Experimental Psychology, 70(3), 434-443. https://doi.org/10.1080/17470218.2015.1131726

Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090

James, A., Fernandes, H., Alves da Mota, P. & Hough, M. (2017). Frontostriatal dysconnectivity in adolescent onset schizophrenia and its associations with cognition: An MRI volumetric and diffusion tensor imaging study. European Psychiatry, 41, S59.

Jensen, M. S., Heggli, O. A., Alves da Mota, P. & Vuust, P. (2017). A low-cost MRI compatible keyboard. In Proceedings of the international conference on new interfaces for musical expression (pp. 257-260)

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