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
Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R.
& Frith, U. (2003).
Brain changes after learning to read and play music.
NeuroImage,
20(1), 71-83.
Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R.
& Frith, U. (2003).
Becoming a pianist. An fMRI study of musical literacy acquisition.
Annals of the New York Academy of Sciences,
999, 204-8.
Stewart, L., Overath, T., Warren, J. D., Foxton, J. M. & Griffiths, T. D. (2008).
fMRI evidence for a cortical hierarchy of pitch pattern processing.
PLOS ONE,
3(1), e1470.
https://doi.org/10.1371/journal.pone.0001470
Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H.
, Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E.
& Kringelbach, M. L. (2019).
Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep.
Nature Communications,
10(1), Article 1035.
https://doi.org/10.1038/s41467-019-08934-3
Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D.
& Grube, M. (2021).
Auditory beat perception is related to speech output fluency in post-stroke aphasia.
Scientific Reports,
11, Article 3168.
https://doi.org/10.1038/s41598-021-82809-w
Steenstrup, K.
, Haumann, N. T., Kleber, B., Camarasa, C.
, Vuust, P. & Petersen, B. (2021).
Imagine, Sing, Play- Combined Mental, Vocal and Physical Practice Improves Musical Performance.
Frontiers in Psychology,
12, Article 757052.
https://doi.org/10.3389/fpsyg.2021.757052
Stark, E. A.
, Parsons, C. E., Hartevelt, T. J. V., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A.
& Kringelbach, M. L. (2015).
Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies.
Neuroscience & Biobehavioral Reviews,
56, 207-221.
https://doi.org/10.1016/j.neubiorev.2015.07.007
Stark, E. A.
, Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A.
& Kringelbach, M. L. (2020).
The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality.
Cerebral cortex (New York, N.Y. : 1991),
30(4), 2019-2029.
https://doi.org/10.1093/cercor/bhz219
Stark, E., Stacey, J., Mandy, W.
, Kringelbach, M. L. & Happé, F. (2021).
Autistic Cognition: Charting Routes to Anxiety.
Trends in Cognitive Sciences,
25(7), 571-581.
https://doi.org/10.1016/j.tics.2021.03.014
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
Starcke, K., von Georgi, R.
, Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019).
Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits.
International Journal of Psychophysiology,
142, 25-32.
https://doi.org/10.1016/j.ijpsycho.2019.06.001
Sørensen, S. D., Petersen, B., Ross, S., Wallentin, M., Heggli, O. A., Haumann, N. T., Brattico, E. & Vuust, P. (2017).
The miniMET - A novel tool for measuring musical abilities in children. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.
Soler-Toscano, F., Galadí, J. A., Escrichs, A., Perl, Y. S., López-González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., Esteban, F. J., Laureys, S.
, Kringelbach, M. L., Langa, J. A. & Deco, G. (2022).
What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics.
PLOS Computational Biology,
18(9), Article e1010412.
https://doi.org/10.1371/journal.pcbi.1010412
Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P.
, Brattico, E. & Nandi, A. K. (2013).
Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis.
IEEE International Workshop on Machine Learning for Signal Processing.
https://doi.org/10.1109/MLSP.2013.6661923
Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G.
, Kringelbach, M. L., Stamatakis, E. A. & Kuceyeski, A. (2022).
Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape.
Nature Communications,
13(1), Article 5812.
https://doi.org/10.1038/s41467-022-33578-1
Simola, J., Siebenhühner, F., Myrov, V., Kantojärvi, K., Paunio, T., Palva, J. M.
, Brattico, E. & Palva, S. (2022).
Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations.
iScience,
25(9), Article 104985.
https://doi.org/10.1016/j.isci.2022.104985
Signorelli, C. M., Uhrig, L.
, Kringelbach, M., Jarraya, B. & Deco, G. (2021).
Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss.
NeuroImage,
227, Article 117618.
https://doi.org/10.1016/j.neuroimage.2020.117618
Shestakova, A.
, Brattico, E., Soloviev, A., Klucharev, U. & Huotilainen, M. (2004).
Orderly cortical representation of vowel categories presented by multiple exemplars.
Brain Research,
21(3), 342-350.
https://doi.org/10.1016/j.cogbrainres.2004.06.011