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Center for Music in the Brain

Our publications

Contribution to journal

Bonetti, L. & Costa, M. (2016). Intelligence and musical mode preference. Empirical Studies of the Arts, 34, 160.

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

Bonetti, L., Brattico, E., Carlomagno, F., Donati, G., Cabral, J., Haumann, N. T., Deco, G., Vuust, P. & Kringelbach, M. L. (2021). Rapid encoding of musical tones discovered in whole-brain connectivity. NeuroImage, 245, [118735]. https://doi.org/10.1016/j.neuroimage.2021.118735

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.

Bonetti, L., Carlomagno, F., Kliuchko, M., Gold, B. P., Palva, S., Trusbak Haumann, N., Tervaniemi, M., Huotilainen, M., Vuust, P. & Brattico, E. (2022). Whole-brain computation of cognitive versus acoustic errors in music: A mismatch negativity study. Neuroimage: Reports, 2(4), [100145]. https://doi.org/10.1016/j.ynirp.2022.100145

Bogert, B., Numminen-Kontti, T., Gold, B., Sams, M., Numminen, J., Burunat, I., Lampinen, J. & Brattico, E. (2016). Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions. Neuropsychologia, 89, 393-402. https://doi.org/10.1016/j.neuropsychologia.2016.07.005

Bodak, R., Malhotra, P., Bernardi, N. F., Cocchini, G. & Stewart, L. (2014). Reducing chronic visuo-spatial neglect following right hemisphere stroke through instrument playing. Frontiers in Human Neuroscience, 8, 413. https://doi.org/10.3389/fnhum.2014.00413

Boccard, S. G., Fernandes, H., Jbabdi, S., van Hartevelt, T. J., Kringelbach, M. L., Quaghebeur, G., Moir, L., Mancebo, V. P., Pereira, E. A., Fitzgerald, J. J., Green, A. L., Stein, J. & Aziz, T. Z. (2015). A tractography study of Deep Brain Stimulation of the Anterior Cingulate Cortex in chronic pain: a key to improve the targeting. World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.08.065

Bianco, R., Novembre, G., Ringer, H., Kohler, N., Keller, P. E., Villringer, A. & Sammler, D. (2022). Lateral prefrontal cortex is a hub for music production from structural rules to movements. Cerebral Cortex, 32(18), 3878-3895. https://doi.org/10.1093/cercor/bhab454

Bianco, R., Harrison, P. M. C., Hu, M., Bolger, C., Picken, S., Pearce, M. T. & Chait, M. (2020). Long-term implicit memory for sequential auditory patterns in humans. eLife, 9, [e56073]. https://doi.org/10.7554/eLife.56073

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

Berridge, K. C. & Kringelbach, M. L. (2015). Pleasure Systems in the Brain. Neuron, 86(3), 646-664. https://doi.org/10.1016/j.neuron.2015.02.018

Banissy, M. J., Stewart, L., Muggleton, N. G., Griffiths, T. D., Walsh, V. Y., Ward, J. & Kanai, R. (2012). Grapheme-color and tone-color synesthesia is associated with structural brain changes in visual regions implicated in color, form, and motion. Cognitive Neuroscience, 3(1), 29-35. https://doi.org/10.1080/17588928.2011.594499

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), [17661]. https://doi.org/10.1038/s41598-017-17546-0

Atasoy, S., Deco, G., Kringelbach, M. L. & Pearson, J. (2018). Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics. Neuroscientist, 24(3), 277–293. https://doi.org/10.1177/1073858417728032

Aqil, M., Atasoy, S., Kringelbach, M. L. & Hindriks, R. (2021). Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. PLOS Computational Biology, 17(1), [e1008310]. https://doi.org/10.1371/JOURNAL.PCBI.1008310

Anichini, M., De Reus, K., Hersh, T. A., Valente, D., Salazar-Casals, A., Berry, C., Keller, P. E. & Ravignani, A. (2023). Measuring rhythms of vocal interactions: a proof of principle in harbour seal pups. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1875), [20210477]. https://doi.org/10.1098/rstb.2021.0477

Anderson, S., Himonides, E., Wise, K., Welch, G. & Stewart, L. (2012). Is there potential for learning in amusia? A study of the effect of singing intervention in congenital amusia. Annals of the New York Academy of Sciences, 1252, 345-53. https://doi.org/10.1111/j.1749-6632.2011.06404.x

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, [102299]. https://doi.org/10.1016/j.nicl.2020.102299

Alonso Martínez, S., Deco, G., Ter Horst, G. J. & Cabral, J. (2020). The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample. Frontiers in Neural Circuits, 14, [570583]. https://doi.org/10.3389/fncir.2020.570583

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. https://doi.org/10.1002/hbm.23565

Alluri, V., Toiviainen, P., Jaaskelainen, I. P., Glerean, E., Sams, M. & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage, 59(4), 3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

Alluri, V., Toiviainen, P., Burunat, I., Bogert, B., Numminen, J. & Brattico, E. (2015). Musical expertise modulates functional connectivity of limbic regions during continuous music listening. Psychomusicology: Music, Mind & Brain, 25(4), 443. https://doi.org/10.1037/pmu0000124

Ahrends, C., Stevner, A., Pervaiz, U., Kringelbach, M. L., Vuust, P., Woolrich, M. W. & Vidaurre, D. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage, 252, [119026]. https://doi.org/10.1016/j.neuroimage.2022.119026

Ahrends, C., Bravo, F., Kringelbach, M. L., Vuust, P. & Rohrmeier, M. A. (2019). Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty. Scientific Reports, 9, [12177]. https://doi.org/10.1038/s41598-019-48707-y

Ahonen, L., Huotilainen, M. & Brattico, E. (2016). Within- and between-session replicability of cognitive brain processes: An MEG study with an N-back task. Physiology & Behavior, 158, 43-53. https://doi.org/10.1016/j.physbeh.2016.02.006

Agres, K., Abdallah, S. & Pearce, M. (2018). Information-theoretic properties of auditory sequences dynamically influence expectation and memory. Cognitive Science, 42, 43-76. https://doi.org/10.1111/cogs.12477

Displaying results 651 to 677 out of 677

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Hella Kastbjerg