Hansen, N. C., Kragness, H. E.
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Predictive Uncertainty Underlies Auditory Boundary Perception.
Psychological Science,
32(9), 1416-1425.
https://doi.org/10.1177/0956797621997349
Brattico, E., Bonetti, L., Ferretti, G.
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Putting Cells in Motion: Advantages of Endogenous Boosting of BDNF Production.
Cells,
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https://doi.org/10.3390/cells10010183
Bonetti, L., Brattico, E., Carlomagno, F., Donati, G.
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Rapid encoding of musical tones discovered in whole-brain connectivity.
NeuroImage,
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Deco, G., Sanz Perl, Y.
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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
Coelho, A.
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Reorganization of brain structural networks in aging: A longitudinal study.
Journal of Neuroscience Research,
99(5), 1354-1376.
https://doi.org/10.1002/jnr.24795
Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D.
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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals.
NeuroImage,
226, Article 117470.
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Coelho, A.
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Signatures of white-matter microstructure degradation during aging and its association with cognitive status.
Scientific Reports,
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Petersen, B., Friis Andersen, A. S.
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The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing: The CI MuMuFe. Poster session presented at Neuromusic VII: Connecting with music across lifespan.
Trusbak Haumann, N., Petersen, B., Friis Andersen, A. S., F. Faulkner, K.
, Brattico, E. & Vuust, P. (2021).
The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing.
Fasano, M. C., Semeraro, C., Cassibba, R.
, Vuust, P., Kringelbach, M. L. & Brattico, E. (2021).
The effects of a learner-centred music training program on intrinsic and extrinsic motivation. Poster session presented at The Neurosciences and Music VII - Connecting with music across the lifespan.
De Filippi, E., Uribe, C., Avila-Varela, D. S., Martínez-Molina, N., Gashaj, V., Pritschet, L., Santander, T., Jacobs, E. G.
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The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics.
Frontiers in Neuroscience,
15, Article 753820.
https://doi.org/10.3389/fnins.2021.753820
Fernández-Rubio, B., Mejías-Trueba, M., Rodríguez-Pérez, A.
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Traducción y adaptación transcultural al español del cuestionario "Healthcare task difficulty (HCTD) among older-adults with multimorbidity".
Revista espanola de salud publica,
95.
Heggli, O. A., Konvalinka, I.
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Transient brain networks underlying interpersonal strategies during synchronized action.
Social Cognitive and Affective Neuroscience,
16(1-2), 19-30.
https://doi.org/10.1093/scan/nsaa056
Stark, E., Stacey, J., Mandy, W.
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'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
Fjaeldstad, A. W., Stiller-Stut, F.
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Validation of Olfactory Network Based on Brain Structural Connectivity and Its Association With Olfactory Test Scores.
Frontiers in Systems Neuroscience,
15, Article 638053.
https://doi.org/10.3389/fnsys.2021.638053
Fink, L. K., Warrenburg, L. A., Howlin, C., Randall, W. M.
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Viral tunes: changes in musical behaviours and interest in coronamusic predict socio-emotional coping during COVID-19 lockdown.
Humanities and social sciences communications,
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https://doi.org/10.1057/s41599-021-00858-y
Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S.
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A critical cross-cultural study of sensorimotor and groove responses to syncopation among Ghanaian and American university students and staff.
Music Perception,
37(4), 278-297.
https://doi.org/10.1525/MP.2020.37.4.278
Trusbak Haumann, N., Hansen, B., Huotilainen, M.
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Applying stochastic spike train theory for high-accuracy human MEG/EEG.
Journal of Neuroscience Methods,
340, Article 108743.
https://doi.org/10.1016/j.jneumeth.2020.108743
Clemente, A., Vila-Vidal, M.
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A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments.
Behavior Research Methods,
52(4), 1491-1509.
https://doi.org/10.3758/s13428-019-01329-8
Zioga, I., Harrison, P. M. C.
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Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style.
Journal of Cognitive Neuroscience,
32(12), 2241-2259.
https://doi.org/10.1162/jocn_a_01614
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
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, Article 110069.
https://doi.org/10.1016/j.chaos.2020.110069
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, Article 116816.
https://doi.org/10.1016/j.neuroimage.2020.116816
Moorthigari, V., Carlson, E., Toiviainen, P.
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Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.),
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https://doi.org/10.1007/978-3-030-59277-6_10
Kringelbach, M. L., Cruzat, J.
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Dynamic coupling of whole-brain neuronal and neurotransmitter systems.
Proceedings of the National Academy of Sciences (PNAS),
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https://doi.org/10.1073/pnas.1921475117
Zioga, I., Harrison, P. M. C.
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From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity.
NeuroImage,
206, Article 116311.
https://doi.org/10.1016/j.neuroimage.2019.116311
Vohryzek, J., Deco, G., Cessac, B.
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Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States.
Frontiers in Systems Neuroscience,
14, Article 20.
https://doi.org/10.3389/fnsys.2020.00020
Kaasgaard, M., Andersen, I. C., Rasmussen, D. B.
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Heterogeneity in Danish lung choirs and their singing leaders: delivery, approach, and experiences: a survey-based study.
BMJ Open,
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https://doi.org/10.1136/bmjopen-2020-041700
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
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
Schiavio, A.
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Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception,
37(5), 403-422.
https://doi.org/10.1525/mp.2020.37.5.403