Alonso, S., Tyborowska, A., Ikani, N., Mocking, R. J. T., Figueroa, C. A., Schene, A. H., Deco, G.
, Kringelbach, M. L., Cabral, J. & Ruhé, H. G. (2023).
Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity.
Human Brain Mapping,
44(17), 5770-5783.
https://doi.org/10.1002/hbm.26475
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
Rué-Queralt, J.
, Stevner, A., Tagliazucchi, E., Laufs, H.
, Kringelbach, M. L., Deco, G.
& Atasoy, S. (2021).
Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep.
Communications Biology,
4(1), Article 854.
https://doi.org/10.1038/s42003-021-02369-7
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
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, Article 119026.
https://doi.org/10.1016/j.neuroimage.2022.119026
Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. (2019).
Danish Validation of Sniffin’ Sticks Olfactory Test for Threshold, Discrimination, and Identification. Poster session presented at Dansk Selskab for Oto-rhino-laryngologi, Hoved-Halskirurgi: DSOHH årsmøde, Nyborg, Denmark.
Kohler, N., Novembre, G., Gugnowska, K.
, Keller, P. E., Villringer, A. & Sammler, D. (2023).
Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action.
Cerebral Cortex,
33(6), 2804-2822.
https://doi.org/10.1093/cercor/bhac243
Overath, T., Kumar, S.
, Stewart, L., von Kriegstein, K., Cusack, R., Rees, A. & Griffiths, T. D. (2010).
Cortical mechanisms for the segregation and representation of acoustic textures.
The Journal of neuroscience : the official journal of the Society for Neuroscience,
30(6), 2070-6.
https://doi.org/10.1523/JNEUROSCI.5378-09.2010
Tiihonen, M.
, Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017).
Constituents of music and visual-art related pleasure - A critical integrative literature review.
Frontiers in Psychology,
8(JUL), Article 1218.
https://doi.org/10.3389/fpsyg.2017.01218
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), Article 17661.
https://doi.org/10.1038/s41598-017-17546-0
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
Luppi, A. I.
, Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J. M.
, Kringelbach, M. L., Orio, P., Ching, S. N., Sanz Perl, Y., Diringer, M. N., Stevens, R. D. & Sitt, J. D. (2023).
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness.
NeuroImage,
275, Article 120162.
https://doi.org/10.1016/j.neuroimage.2023.120162
Vuust, P., Liikala, L.
, Näätänen, R., Brattico, P.
& Brattico, E. (2016).
Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm.
Clinical Neurophysiology,
4(127), 2065-2077.
https://doi.org/10.1016/j.clinph.2015.11.009
Haumann, N. T., Parkkonen, L.
, Kliuchko, M., Vuust, P. & Brattico, E. (2016).
Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study.
Computational Intelligence and Neuroscience,
2016, 1-10. Article 7489108.
https://doi.org/10.1155/2016/7489108
Brattico, E., Jacobsen, T., De Baene, W., Glerean, E. & Tervaniemi, M. (2010).
Cognitive vs. affective listening modes and judgments of music - An ERP study.
Biological Psychology,
85(3), 393-409.
https://doi.org/10.1016/j.biopsycho.2010.08.014
Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N.
& Kringelbach, M. L. (2017).
Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest.
Scientific Reports,
7(1), 5135. Article 5135.
https://doi.org/10.1038/s41598-017-05425-7
Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J.
, Gjedde, A. & Carlson, S. (2010).
Cognitive control in auditory working memory is enhanced in musicians.
P L o S One,
5(6), Article 11120.
https://doi.org/10.1371/journal.pone.0011120
Salmi, J.
, Pallesen, K. J., Neuvonen, T.
, Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010).
Cognitive and motor loops of the human cerebro-cerebellar system.
Journal of Cognitive Neuroscience,
22(11), 2663-76.
Brandl, S.
, Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019).
Chasing auditory rhythmic regularity processingin the EEG – and now MEG.. Poster session presented at MEG Nord, Jyväskylä, Finland.
Brandl, S.
, Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019).
Chasing auditory rhythmic regularity processingin the EEG & MEG.. Poster session presented at The Predictive Brain Conference, Marseille, France.
Galadí, J. A., Silva Pereira, S., Sanz Perl, Y.
, Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021).
Capturing the non-stationarity of whole-brain dynamics underlying human brain states.
NeuroImage,
244, Article 118551.
https://doi.org/10.1016/j.neuroimage.2021.118551
Grube, M., Brandl, S., Kindermans, P.-J., Blankertz, B., Daehne, S. & Mueller, K.-R. (2018).
Can we “find the beat”? Searching the beta band in the human EEG as a function of acoustic rhythmic regularity and in correlation with behaviour.. 1. Poster session presented at 11th FENS Forum of Neuroscience, Berlin, Germany.
Fiveash, A., Ferreri, L., Bouwer, F. L., Kösem, A., Moghimi, S.
, Ravignani, A., Keller, P. E. & Tillmann, B. (2023).
Can rhythm-mediated reward boost learning, memory, and social connection? Perspectives for future research.
Neuroscience and Biobehavioral Reviews,
149, Article 105153.
https://doi.org/10.1016/j.neubiorev.2023.105153
Bodak, R., Stewart, L., Stephan, M.
, Witek, M., Penhune, V.
& Vuust, P. (2015).
Can listening to sound sequences facilitate movement? The potential for motor rehabilitation. Abstract from Music Therapy Advances in Neuro-disability II , London, United Kingdom.