Fjaeldstad, A. W., Konieczny, D. T.
, Fernandes, H., Gaini, L. M., Vejlø, M. & Sandberg, K. (2022).
The relationship between individual significance of olfaction and measured olfactory function.
Current Research in Behavioral Sciences,
3, Article 100076.
https://doi.org/10.1016/j.crbeha.2022.100076
Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M.
& Brattico, E. (2016).
The reliability of continuous brain responses during naturalistic listening to music.
NeuroImage,
124(Pt A), 224-31.
https://doi.org/10.1016/j.neuroimage.2015.09.005
Costa, M.
, Bonetti, L., VIgnali, V., Lantieri, C. & Simone, A. (2018).
The role of peripheral vision in vertical road sign identification and discrimination.
Ergonomics,
61(12), 1619-1634.
https://doi.org/10.1080/00140139.2018.1508756
Matthews, T. E., Witek, M. A. G., Heggli, O. A., Penhune, V. B.
& Vuust, P. (2019).
The sensation of groove is affected by the interaction of rhythmic and harmonic complexity.
PLOS ONE,
14(1), Article e0204539.
https://doi.org/10.1371/journal.pone.0204539
Yan, X., Joshi, A., Zang, Y., Assunção, F.
, Fernandes, H. M. & Hummel, T. (2022).
The Shape of the Olfactory Bulb Predicts Olfactory Function.
Brain sciences,
12(2), Article 128.
https://doi.org/10.3390/brainsci12020128
Petersen, B., Friis Andersen, A. S.
, Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S.
& Vuust, P. (2019).
The Sound of Music – Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.
Petersen, B., Friis Andersen, A. S.
, Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S.
& Vuust, P. (2019).
The Sound of Music: Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.
Ross, S., Chow, K., Jakubowski, K., Pearce, M. & Müllensiefen, D. (2016).
The structure of absolute pitch abilities and its relationship to musical sophistication. Abstract from 14th International Conference of Music Perception and Cognition, San Francisco, United States.
Stupacher, J., Matthews, T. E., Pando-Naude, V., Foster Vander Elst, O. & Vuust, P. (2022).
The sweet spot between predictability and surprise: Musical groove in brain, body, and social interactions.
Frontiers in Psychology,
13, Article 906190.
https://doi.org/10.3389/fpsyg.2022.906190
Heggli, O. A., Konvalinka, I.
, Cabral, J., Brattico, E., Kringelbach, M. & Vuust, P. (2021).
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
Thaler, H., Skewes, J. C., Gebauer, L., Christensen, P., Prkachin, K. M.
& Jegindø Elmholdt, E.-M. (2017).
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
Cheung, V. K. M., Harrison, P. M. C., Meyer, L.
, Pearce, M. T., Haynes, J. D. & Koelsch, S. (2019).
Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity.
Current Biology,
29(23), 4084-4092.e4.
https://doi.org/10.1016/j.cub.2019.09.067
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
Vila-Vidal, M., Capouskova, K., Atasoy, S.
, Kringelbach, M. L. & Deco, G. (2020).
Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on “Is temporo-spatial dynamics the ‘common currency’ of brain and mind? In Quest of ‘Spatiotemporal Neuroscience’ ” by Georg Northoff et al. Physics of Life Reviews,
33, 64-66.
https://doi.org/10.1016/j.plrev.2019.10.004
Saenger, V. M., Kahan, J., Foltynie, T., Friston, K., Aziz, T. Z., Green, A. L., van Hartevelt, T. J.
, Cabral, J., Stevner, A. B. A.
, Fernandes, H. M., Mancini, L., Thornton, J., Yousry, T., Limousin, P., Zrinzo, L., Hariz, M., Marques, P., Sousa, N.
, Kringelbach, M. L. & Deco, G. (2017).
Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson's disease.
Scientific Reports,
7(1), 9882. Article 9882.
https://doi.org/10.1038/s41598-017-10003-y
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), Article 20210247.
https://doi.org/10.1098/rsta.2021.0247
Parsons, C., Stark, E. A., Young, K. S., Stein, A.
& Kringelbach, M. L. (2013).
Understanding the human parental brain. A critical role of the orbitofrontal cortex.
Social Neuroscience,
8(6), 525-43.
https://doi.org/10.1080/17470919.2013.842610
Escrichs, A., Perl, Y. S., Uribe, C., Camara, E., Türker, B., Pyatigorskaya, N., López-González, A., Pallavicini, C., Panda, R., Annen, J., Gosseries, O., Laureys, S., Naccache, L., Sitt, J. D., Laufs, H., Tagliazucchi, E.
, Kringelbach, M. L. & Deco, G. (2022).
Unifying turbulent dynamics framework distinguishes different brain states.
Communications Biology,
5(1), Article 638.
https://doi.org/10.1038/s42003-022-03576-6
Kaasgaard, M., Rasmussen, D. B., Hjerrild Andreasson, K., Hilberg, O., Løkke, A.
, Vuust, P. & Bodtger, U. (2022).
Use of Singing for Lung Health as an alternative training modality within pulmonary rehabilitation for COPD: a randomised controlled trial.
The European Respiratory Journal,
59(5), Article 2101142.
https://doi.org/10.1183/13993003.01142-2021
Fjaeldstad, A. W., Stiller-Stut, F., Gleesborg, C.
, Kringelbach, M. L., Hummel, T.
& Fernandes, H. M. (2021).
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.
, Hansen, N. C. & Wald-Fuhrmann, M. (2021).
Viral tunes: changes in musical behaviours and interest in coronamusic predict socio-emotional coping during COVID-19 lockdown.
Humanities and social sciences communications,
8, Article 180.
https://doi.org/10.1057/s41599-021-00858-y
Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. C. & Vuust, P. (2018).
Visually induced gains in pitch discrimination: Linking audio-visual processing with auditory abilities.
Attention, Perception & Psychophysics,
80(4), 999-1010.
https://doi.org/10.3758/s13414-017-1481-8
De Reus, K., Carlson, D., Lowry, A., Gross, S., Garcia, M., Rubio-Garcia, A., Salazar-Casals, A.
& Ravignani, A. (2022).
Vocal tract allometry in a mammalian vocal learner.
Journal of Experimental Biology,
225(8), Article jeb243766.
https://doi.org/10.1242/jeb.243766
Kleber, B., Veit, R., Moll, C. V., Gaser, C., Birbaumer, N. & Lotze, M. (2016).
Voxel-based morphometry in opera singers: Increased gray-matter volume in right somatosensory and auditory cortices.
NeuroImage,
133, 477-83.
https://doi.org/10.1016/j.neuroimage.2016.03.045
Lumaca, M., Haumann, N. T., Brattico, E., Grube, M.
& Vuust, P. (2019).
Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity.
European Journal of Neuroscience,
49(12), 1597-1609.
https://doi.org/10.1111/ejn.14329
Lumaca, M., Trusbak Haumann, N., Brattico, E., Grube, M.
& Vuust, P. (2019).
Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. 1597-1609. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.