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Center for Music in the Brain

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Contribution to journal

Hansen, N. C., Wald-Fuhrmann, M. & Davidson, J. W. (2022). Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic. Frontiers in Psychology, 13, [910101]. https://doi.org/10.3389/fpsyg.2022.910101

Chan, R. C. K. & Kringelbach, M. L. (2016). Editorial: At Risk for Neuropsychiatric Disorders: An Affective Neuroscience Approach to Understanding the Spectrum. Frontiers in Behavioral Neuroscience, 10, [165]. https://doi.org/10.3389/fnbeh.2016.00165

Cabral, J., Jirsa, V., Popovych, O. V., Torcini, A. & Yanchuk, S. (2022). From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise. Frontiers in Systems Neuroscience, 16, [871165]. https://doi.org/10.3389/fnsys.2022.871165

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, [353]. https://doi.org/10.1017/S0140525X17001613

Brattico, E. (2006). The cognitive neuroscience of music. Musicae Scientiae, 10(1), 130-137.

Wang, Q. J., Barbosa Escobar, F., Mathiesen, S. L. & Alves da Mota, P. (2021). Can Eating Make Us More Creative? A Multisensory Perspective. Foods, 10(2), [469]. https://doi.org/10.3390/foods10020469

Wang, Q. J., Barbosa Escobar, F., Alves da Mota, P. & Velasco, C. (2021). Getting Started with Virtual Reality for Sensory and Consumer Science: Current practices and future perspectives. Food Research International, 145, [110410]. https://doi.org/10.1016/j.foodres.2021.110410

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5

Vohryzek, J., Cabral, J., Vuust, P., Deco, G. & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227), [20210247]. https://doi.org/10.1098/rsta.2021.0247

Tiihonen, M., Westner, B. U., Butz, M. & Dalal, S. S. (2021). Parkinson’s disease patients benefit from bicycling - a systematic review and meta-analysis. npj Parkinson's Disease, 7(1), [86]. https://doi.org/10.1038/s41531-021-00222-6

Tervaniemi, M. & Brattico, E. (2004). From sounds to music - Towards understanding the neurocognition of musical sound perception. Journal of Consciousness Studies, 11(3-4), 9-27.

Spinosa, V., Brattico, E., Campo, F. & Logroscino, G. (2022). A systematic review on resting state functional connectivity in patients with neurodegenerative disease and hallucinations. NeuroImage: Clinical, 35, [103112]. https://doi.org/10.1016/j.nicl.2022.103112

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain sciences, 8(6), [107]. https://doi.org/10.3390/brainsci8060107

Reybrouck, M., Vuust, P. & Brattico, E. (2021). Neural Correlates of Music Listening: Does the Music Matter? Brain sciences, 11(12), [1553]. https://doi.org/10.3390/BRAINSCI11121553

Reybrouck, M. & Brattico, E. (2015). Neuroplasticity beyond sounds: Neural adaptations following long-term musical aesthetic experiences. Brain Research, 5(1), 69-91. https://doi.org/10.3390/brainsci5010069

Parsons, C. E., Young, K. S., Stein, A. & Kringelbach, M. L. (2017). Intuitive parenting: understanding the neural mechanisms of parents’ adaptive responses to infants. Current Opinion in Psychology, 15(june), 40-44. https://doi.org/10.1016/j.copsyc.2017.02.010

Oswald, J. N., Van Cise, A. M., Dassow, A., Elliott, T., Johnson, M. T., Ravignani, A. & Podos, J. (2022). A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data. Applied Sciences (Switzerland), 12(23), [12046]. https://doi.org/10.3390/app122312046

Nieminen, S., Istok, E., Brattico, E., Tervaniemi, M. & Huotilainen, M. (2011). The development of aesthetic responses to music and their underlying neural and psychological mechanisms. Cortex, 47(9), 1138-1146. https://doi.org/10.1016/j.cortex.2011.05.008

McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G., Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022). Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses. Neuroscience and Biobehavioral Reviews, 138, [104689]. https://doi.org/10.1016/j.neubiorev.2022.104689

Kujala, T. & Brattico, E. (2009). Detrimental noise effects on brain's speech functions. Biological Psychology, 81(3), 135-143. https://doi.org/10.1016/j.biopsycho.2009.03.010

Kringelbach, M. L. & Deco, G. (2020). Brain States and Transitions: Insights from Computational Neuroscience. Cell Reports, 32(10), [108128]. https://doi.org/10.1016/j.celrep.2020.108128

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

Jancke, D., Herlitze, S., Kringelbach, M. L. & Deco, G. (2022). Bridging the gap between single receptor type activity and whole-brain dynamics. FEBS Journal, 289(8), 2067-2084. https://doi.org/10.1111/febs.15855

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

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.

Foster Vander Elst, O., Vuust, P. & Kringelbach, M. L. (2021). Sweet anticipation and positive emotions in music, groove, and dance. Current Opinion in Behavioral Sciences, 39, 79-84. https://doi.org/10.1016/j.cobeha.2021.02.016

Fjaeldstad, A., Fernandes, H., Nyengaard, J. R. & Ovesen, T. (2018). Bag om smag. Ugeskrift for Læger, 180(18).

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

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Daffertshofer, A., Ton, R., Pietras, B., Kringelbach, M. L. & Deco, G. (2018). Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage, 180, 428-441. https://doi.org/10.1016/j.neuroimage.2018.03.070

Brattico, E., Monitillo, V., Calabrese, S., Montrone, N., Nardulli, R., Multari, V. & Ambrosi, L. (2003). Effetti del rumore sui meccanismi corticali di elaborazione dei suoni linguistici. G Ital Med Lav Ergon, 25(2), 142-8.

Brattico, E. & Sassanelli, F. (2000). Perception and musical preferences in Wishart's work. Journal of New Music Research, 29(2), 107-119.

Brattico, E. & Pearce, M. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 48-61. https://doi.org/10.1037/a0031624

Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 15-39.

Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 13(2 SUPPL.), 15-39. https://doi.org/10.1177/1029864909013002031

Brattico, E., Bogert, B. & Jacobsen, T. (2013). Toward a neural chronometry for the aesthetic experience of music. Frontiers in Psychology, 4, [206]. https://doi.org/10.3389/fpsyg.2013.00206

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 of the United States of America, 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). 'Uncertainty attunement' has explanatory value in understanding autistic anxiety. Trends in Cognitive Sciences, 25(12), 1011-1012. https://doi.org/10.1016/j.tics.2021.09.006

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Tervaniemi, M., Tupala, T. & Brattico, E. (2012). Expertise in folk music alters the brain processing of Western harmony. Annals of the New York Academy of Sciences, 147-151. https://doi.org/10.1111/j.749-6632.2011.06428.x

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923

Puolivali, T., Cong, F., Alluri, V., Lin, Q-H., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music. International Conference on Acoustics Speech and Signal Processing ICASSP, 1310-1314.

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2009). Electrophysiological correlates of aesthetic music processing comparing experts with laypersons. Annals of the New York Academy of Sciences, 355-358. https://doi.org/10.1111/j.1749-6632.2009.04846.x

Mohseni, H. R., Kringelbach, M. L., Smith, P. P., Green, A. L., Parsons, C. E., Young, K. S., Brittain, J-S., Hyam, J. A., Schweder, P. M., Stein, J. F. & Aziz, T. Z. (2010). Application of a Null-Beamformer to Source Localisation in MEG Data of Deep Brain Stimulation. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 4120-4123.

Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

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.

Brattico, E., Tervaniemi, M., Valimaki, V., Van Zuijen, T. & Peretz, T. (2003). Cortical correlates of acquired deafness to dissonance. Annals of the New York Academy of Sciences, 158-160. https://doi.org/10.1196/annals.1284.019

Brattico, E., Jacobsen, T., De Baene, W., Nakai, N. & Tervaniemi, M. (2003). Electrical brain responses to descriptive versus evaluative judgments of music. Annals of the New York Academy of Sciences, 155-157. https://doi.org/10.1196/annals.1284.018

Brattico, E. & Jacobsen, T. (2009). Subjective Appraisal of Music Neuroimaging Evidence. Annals of the New York Academy of Sciences, 308-317. https://doi.org/10.1111/j.1749-6632.2009.04843.x

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Revised 26.03.2021

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Hella Kastbjerg