Pando-Naude, V., Matthews, T., Højlund, A., Johnsen, E., Garza Villarreal, E., Witek, M., Heggli, O., Kleber, B., Penhune, V.
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An fMRI study on the groove experience in Parkinson's disease. Paper presented at Interntational Conference of Music Perception and Cognition ICMPC17-APSCOM, Tokyo, Japan.
https://doi.org/10.13140/RG.2.2.23884.18561
Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017).
A new multifeature mismatch negativity (MMN) paradigm for the study of music perception with more real-sounding stimuli. Poster session presented at Donders Discussions 2017, Nejmegen, Netherlands.
Jadoul, Y., Hersh, T. A., Domingos, E. F., Gamba, M., Favaro, L.
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An evolutionary model of rhythmic accelerando in animal vocal signalling.
PLoS Computational Biology,
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Criscuolo, A.
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An ALE meta-analytic review of musical expertise.
Scientific Reports,
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Tanne, A., Ma, B., Boudou, F., Tailleux, L., Botella, H., Badell, E., Levillain, F., Taylor, M. E., Drickamer, K., Nigou, J., Dobos, K. M., Puzo, G., Vestweber, D., Wild, M. K., Marcinko, M., Sobieszczuk, P.
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A murine DC-SIGN homologue contributes to early host defense against Mycobacterium tuberculosis.
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https://doi.org/10.1084/jem.20090188
Hoegholt, N. F., Bonetti, L., Stevner, A. B. A., Andersen, C. E., Fernandes, H. M., Vuust, P. & Kringelbach, M. L. (2023).
A magnetoencephalography study of first-time mothers listening to infant cries.
Cerebral Cortex,
33(10), 5896–5905.
https://doi.org/10.1093/cercor/bhac469
Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E.
, Kringelbach, M. L. & Vuust, P. (2019).
Altered brain connectivity in Insomnia Disorder. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.
Figueroa, C. A.
, Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G., Expert, P., Schene, A. H.
, Kringelbach, M. L. & Ruhé, H. G. (2019).
Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder.
Human Brain Mapping,
40(9), 2771-2786.
https://doi.org/10.1002/hbm.24559
Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P. & Kringelbach, M. L. (2019).
A Kuramoto model of self-other integration across interpersonal synchronization strategies.
PLoS Computational Biology,
15(10), Article e1007422.
https://doi.org/10.1371/journal.pcbi.1007422
Bonetti, L., Fernández-Rubio, G., Lumaca, M., Carlomagno, F.
, Risgaard Olsen, E., Criscuolo, A., Kotz, S. A.
, Vuust, P., Brattico, E. & Kringelbach, M. L. (2024).
Age-related neural changes underlying long-term recognition of musical sequences.
Communications Biology,
7(1), Article 1036.
https://doi.org/10.1038/s42003-024-06587-7
Brattico, E., Alluri, V., Bogert, B.
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A functional MRI study of happy and sad emotions in music with and without lyrics.
Frontiers in Psychology,
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https://doi.org/10.3389/fpsyg.2011.00308
Abalde, S. F., Rigby, A.
, Keller, P. E. & Novembre, G. (2024).
A framework for joint music making: Behavioral findings, neural processes, and computational models.
Neuroscience and Biobehavioral Reviews,
167, Article 105816.
https://doi.org/10.1016/j.neubiorev.2024.105816
Foster Vander Elst, O., Foster, N. H. D.
, Vuust, P., Kringelbach, M. L. & Keller, P. (2023).
A Framework for Dance Research. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Istok, E.
, Brattico, E., Jacobsen, T., Krohn, K., Mueller, M. & Tervaniemi, M. (2009).
Aesthetic responses to music: A questionnaire study.
Musicae Scientiae,
13(2), 183-206.
Kaasgaard, M., Rasmussen, D. B., Hjerrild Andreasson, K., Ottesen, A. L.
, Vuust, P., Hilberg, O. & Bodtger, U. (2021).
Adherence to singing training vs. physical training in COPD rehabilitation. Abstract from Danish Respiratory Society Congress 2021.
Kaasgaard, M., Rasmussen, D. B., Hjerrild Andreasson, K., Løkke, A.
, Vuust, P., Hilberg, O. & Bodtger, U. (2021).
Adherence to singing training vs. physical training in COPD rehabilitation: Post hoc analyses from the Sing-a-Lung trial.
European Respiratory Journal,
2021, Article PA320.
https://doi.org/10.1183/13993003.congress-2021.PA320
Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K.
, Brattico, E., Vuust, P. & Petersen, B. (2021).
Adapting to the sound of music - Development of music discrimination skills in recently implanted cochlear implant users. Poster session presented at 3rd Music & Cohlear Implants Symposium, Cambridge [+ online], United Kingdom.
Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K.
, Brattico, E., Vuust, P. & Petersen, B. (2021).
Adapting to the sound of music - Development of music discrimination skills in recently implanted cochlear implant users. Poster session presented at Neuromusic VII: Connecting with music across lifespan.
Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K.
, Brattico, E., Vuust, P. & Petersen, B. (2023).
Adapting to the Sound of Music - Development of Music Discrimination Skills in Recently Implanted CI Users.
Trends in Hearing,
27.
https://doi.org/10.1177/23312165221148035
Burunat, I.
, Brattico, E., Puoliväli, T., Ristaniemi, T., Sams, M. & Toiviainen, P. (2015).
Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening.
PLoS One,
10(9), e0138238.
https://doi.org/10.1371/journal.pone.0138238
Hansen, N. C., Treider, J. M. G., Swarbrick, D., Bamford, J. S., Wilson, J. & Vuoskoski, J. K. (2021).
A Crowd-Sourced Database of Coronamusic: Documenting Online Making and Sharing of Music During the COVID-19 Pandemic.
Frontiers in Psychology,
12, Article 684083.
https://doi.org/10.3389/fpsyg.2021.684083
Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S.
& Vuust, P. (2020).
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
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), Article 12046.
https://doi.org/10.3390/app122312046