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.
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
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
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
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
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
Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015).
Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm.
Frontiers in Psychology,
6, 9.
https://doi.org/10.3389/fpsyg.2015.00009
Garrido, L., Eisner, F., McGettigan, C., Stewart, L., Sauter, D., Hanley, J. R., Schweinberger, S. R., Warren, J. D. & Duchaine, B. (2009).
Developmental phonagnosia: a selective deficit of vocal identity recognition.
Neuropsychologia,
47(1), 123-31.
https://doi.org/10.1016/j.neuropsychologia.2008.08.003
Moorthigari, V., Carlson, E., Toiviainen, P.
, Brattico, E. & Alluri, V. (2020).
Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.),
Brain informatics (pp. 107-117). Springer.
https://doi.org/10.1007/978-3-030-59277-6_10
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
Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K.
, Brattico, E. & Ristaniemi, T. (2013).
Dimension reduction for individual ICA to decompose FMRI during real-world experiences: Principal component analysis vs. canonical correlation analysis. In
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 137-142)
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
Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C.
, Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C.
& Kringelbach, M. L. (2019).
Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis.
Scientific Reports,
9(1), Article 13638.
https://doi.org/10.1038/s41598-019-50093-4
Padilla, N., Escrichs, A., Del Agua, E.
, Kringelbach, M., Donaire, A., Deco, G. & Åden, U. (2023).
Disrupted resting-sate brain network dynamics in children born extremely preterm.
Cerebral Cortex,
33(13), 8101-8109.
https://doi.org/10.1093/cercor/bhad101
Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017).
Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery.
Psychology of Aesthetics, Creativity, and the Arts,
11(2), 122-135.
https://doi.org/10.1037/aca0000090
Bruzzone, S. E. P.
, Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022).
Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study.
Scientific Reports,
12(1), Article 4746.
https://doi.org/10.1038/s41598-022-08521-5
Daffertshofer, A., Ton, R.
, Kringelbach, M. L., Woolrich, M. & Deco, G. (2018).
Distinct criticality of phase and amplitude dynamics in the resting brain.
NeuroImage,
180, 442-447.
https://doi.org/10.1016/j.neuroimage.2018.03.002
Luppi, A. I., Vohryzek, J.
, Kringelbach, M. L., Mediano, P. A. M., Craig, M. M., Adapa, R., Carhart-Harris, R. L., Roseman, L., Pappas, I., Peattie, A. R. D., Manktelow, A. E., Sahakian, B. J., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Menon, D. K., Atasoy, S. & Stamatakis, E. A. (2023).
Distributed harmonic patterns of structure-function dependence orchestrate human consciousness.
Communications Biology,
6(1), Article 117.
https://doi.org/10.1038/s42003-023-04474-1
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
Costa, M.
, Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019).
Driver's visual attention to different categories of roadside advertising signs.
Applied Ergonomics,
78, 127-136.
https://doi.org/10.1016/j.apergo.2019.03.001
Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E.-M.
, Vuust, P., Stein, A.
& Kringelbach, M. L. (2017).
Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women.
Scientific Reports,
7(1), Article 1727.
https://doi.org/10.1038/s41598-017-01776-3
Deco, G.
, Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., Aquino, K. M. & Fornito, A. (2021).
Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape.
Science Advances,
7(29), Article eabf4752.
https://doi.org/10.1126/sciadv.abf4752
Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L.
, Kringelbach, M. L. & Cabral, J. (2019).
Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin.
NeuroImage,
199, 127-142.
https://doi.org/10.1016/j.neuroimage.2019.05.060
Luppi, A. I.
, Cabral, J., Cofre, R., Destexhe, A., Deco, G.
& Kringelbach, M. L. (2022).
Dynamical models to evaluate structure–function relationships in network neuroscience.
Nature Reviews Neuroscience,
23(12), 767-768.
https://doi.org/10.1038/s41583-022-00646-w
Kringelbach, M. L., Cruzat, J.
, Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020).
Dynamic coupling of whole-brain neuronal and neurotransmitter systems.
Proceedings of the National Academy of Sciences,
117(17), 9566-9576.
https://doi.org/10.1073/pnas.1921475117
Niranjan, D., Toiviainen, P.
, Brattico, E. & Alluri, V. (2019).
Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel & C. Shan (Eds.),
Brain Informatics : 12th International Conference, BI 2019 Haikou, China, December 13–15, 2019 Proceedings (pp. 82-91). Springer.
https://doi.org/10.1007/978-3-030-37078-7_9
Vohryzek, J.
, Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D.
, Fernandes, H. M., Litvak, V.
, Kringelbach, M. L. & Deco, G. (2023).
Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling.
Computational and Structural Biotechnology Journal,
21, 335-345.
https://doi.org/10.1016/j.csbj.2022.11.060
Burunat, I., Alluri, V., Toiviainen, P., Numminen, J.
& Brattico, E. (2014).
Dynamics of brain activity underlying working memory for music in a naturalistic condition.
Cortex,
57, 254-69.
https://doi.org/10.1016/j.cortex.2014.04.012
Müller, V., Fairhurst, M. T., van Vugt, F. T.
, Keller, P. E. & Müller, M. F. (2022).
Editorial: Interpersonal synchrony and network dynamics in social interaction.
Frontiers in Human Neuroscience,
16, Article 1095735.
https://doi.org/10.3389/fnhum.2022.1095735
Charquero-Ballester, M., Kleim, B., Vidaurre, D., Ruff, C., Stark, E., Tuulari, J. J., McManners, H., Bar-Haim, Y., Bouquillon, L., Moseley, A., Williams, S. C. R., Woolrich, M. W.
, Kringelbach, M. L. & Ehlers, A. (2022).
Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks.
Human Brain Mapping,
43(10), 3207-3220.
https://doi.org/10.1002/hbm.25846
Liu, C.
, Brattico, E., Abu-Jamous, B., Pereira, C. S., Jacobsen, T. & Nandi, A. K. (2017).
Effect of Explicit Evaluation on Neural Connectivity Related to Listening to Unfamiliar Music.
Frontiers in Human Neuroscience,
11, Article 611.
https://doi.org/10.3389/fnhum.2017.00611
Kliuchko, M.
, Vuust, P., Toiviainen, P., Tervaniemi, M., Bogert, B.
& Brattico, E. (2015).
Effects of active vs. passive exposure to a musical style: An MMN study with the musical multifeature paradigm.