Suuronen, I., Luotonen, S., Railo, H., Airola, A., Bano, W., Merisaari, H., Pulli, E. P., Wigley, I. L. C. M., Vartiainen, E., Hashempour, N., Karlsson, H., Karlsson, L.
, Kringelbach, M. L., Batalle, D. & Tuulari, J. J. (2026).
Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age.
Communications Biology,
9(1), Article 211.
https://doi.org/10.1038/s42003-025-09488-5Mariani Wigley, I. L. C., Lautarescu, A., Vartiainen, E., Pulli, E. P., Hashempour, N., Merisaari, H., Bano, W., Luotonen, S., Jolly, A., Suuronen, I., Karlsson, L., Karlsson, H., Cabral, J.
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Investigating the influence of maternal prenatal BMI and perinatal depressive symptoms on neonatal brain network dynamics.
Pediatric Research. Advance online publication.
https://doi.org/10.1038/s41390-025-04726-2Deco, G., Sanz Perl, Y., Vohryzek, J., Luppi, A. I.
& Kringelbach, M. L. (2026).
Neurotransmission-modulated whole-brain computation captures full task repertoire.
Cell Reports,
45(1), Article 116816.
https://doi.org/10.1016/j.celrep.2025.116816Nartallo-Kaluarachchi, R.
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Nonequilibrium physics of brain dynamics.
Physics Reports,
1152, 1-43.
https://doi.org/10.1016/j.physrep.2025.10.003Segal, A., Charquero-Ballester, M., Vaisvasser, S., Cabral, J., Ben-Zion, Z., Vidaurre, D., Stark, E., McManners, H., Woolrich, M., Ehlers, A., Bar-Haim, Y., Hendler, T.
& Kringelbach, M. L. (2025).
Brain network dynamics following induced acute stress: A neural marker of psychological vulnerability to real-life chronic stress.
Psychological Medicine,
55, Article e187.
https://doi.org/10.1017/S0033291725100913Bonetti, L., Fernández-Rubio, G., Andersen, M. H., Malvaso, C., Carlomagno, F., Testa, C.
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BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks.
Advanced Science,
12(44), Article e07878.
https://doi.org/10.1002/advs.202507878
Van Maldegem, M., Vohryzek, J.
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, Kringelbach, M. L., Stamatakis, E. A. & Luppi, A. I. (2025).
Connectome harmonic decomposition tracks the presence of disconnected consciousness during ketamine-induced unresponsiveness.
British Journal of Anaesthesia,
134(4), 1088-1104.
https://doi.org/10.1016/j.bja.2024.12.036Applewhite, B., Delattre, B., Singh, I.
, Kringelbach, M. & Spiegler, O. (2025).
Creative arts-based interventions for the improvement of PTSD symptoms in young people: a meta-analysis with a focus on non-Western populations.
Nature Mental Health,
3(12), 1616–1632.
https://doi.org/10.1038/s44220-025-00543-yDa Mota, P. A., Fernandes, H. M., Lourenço Queiroga, A. T., Stark, E., Vohryzek, J., Cabral, J.
, Heggli, O. A., Sousa, N., Deco, G.
, Kringelbach, M. & Vuust, P. (2025).
Creativity in Music: The Brain Dynamics of Jazz Improvisation.
Annals of the New York Academy of Sciences,
1553(1), 350-362.
https://doi.org/10.1111/nyas.70042
Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M.
, Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025).
Decoding the elite soccer player's psychological profile.
Proceedings of the National Academy of Sciences of the United States of America,
122(3), e2415126122. Article e2415126122.
https://doi.org/10.1073/pnas.2415126122
Monti, J. M., Perl, Y. S., Tagliazucchi, E.
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Fluctuation-dissipation theorem and the discovery of distinctive off-equilibrium signatures of brain states.
Physical Review Research ,
7(1), Article 013301.
https://doi.org/10.1103/PhysRevResearch.7.013301Rosso, M., Fernández-Rubio, G., Keller, P. E., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2025).
FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation.
Advanced Science,
12(20), e2413195. Article 2413195.
https://doi.org/10.1002/advs.202413195
Fasano, M. C., Semeraro, C., Cassibba, R.
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, Vuust, P. & Brattico, E. (2025).
From Orchestra to Classroom: Learner-Centered Music Training as a Tool to Support Motivation to Learn.
https://doi.org/10.31234/osf.io/tmnaj_v1
Potash, R. M., Yang, W. F. Z., Winston, B.
, Atasoy, S., Kringelbach, M. L., Sparby, T. & Sacchet, M. D. (2025).
Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis.
Cerebral Cortex,
35(2), Article bhaf039.
https://doi.org/10.1093/cercor/bhaf039Shinozuka, K., Tewarie, P. K. B., Luppi, A., Lynn, C., Roseman, L., Muthukumaraswamy, S., Nutt, D. J., Carhart-Harris, R., Deco, G.
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LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics.
Imaging Neuroscience,
3.
https://doi.org/10.1162/imag_a_00420Hancock, F., Rosas, F. E., Luppi, A. I., Zhang, M., Mediano, P. A. M., Cabral, J., Deco, G.
, Kringelbach, M. L., Breakspear, M., Kelso, J. A. S. & Turkheimer, F. E. (2025).
Metastability demystified — the foundational past, the pragmatic present and the promising future.
Nature Reviews Neuroscience,
26(2), 82-100. Article e1000072.
https://doi.org/10.1038/s41583-024-00883-1Nartallo-Kaluarachchi, R.
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Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics.
Proceedings of the National Academy of Sciences of the United States of America,
122(10), Article e2408791122.
https://doi.org/10.1073/pnas.2408791122Hoegholt, N. F., Krænge, C. E., Vuust, P., Kringelbach, M. & Jespersen, K. V. (2025).
Music and Sleep Hygiene Interventions for Pregnancy-Related Insomnia: An Online Randomized Controlled Trial.
Journal of Midwifery and Women's Health,
70(3), 387-395.
https://doi.org/10.1111/jmwh.13699
Serra, E.
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Neurophysiological correlates of short-term recognition of sounds: Insights from magnetoencephalography.
Brain and Cognition,
190, Article 106360.
https://doi.org/10.1016/j.bandc.2025.106360Vohryzek, J., Luppi, A. I.
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N,N-dimethyltryptamine effects on connectome harmonics, subjective experience and comparative psychedelic experiences.
Neuropsychopharmacology,
50(12), 1768-1776.
https://doi.org/10.1038/s41386-025-02190-4Stikvoort, W., Pérez-Ordoyo, E., Mindlin, I., Escrichs, A., Sitt, J. D.
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Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.
PLoS Computational Biology,
21, Article e1013150.
https://doi.org/10.1371/journal.pcbi.1013150Geli, S. M., Lynn, C. W.
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Non-equilibrium whole-brain dynamics arise from pairwise interactions.
Cell Reports Physical Science,
6(3), Article 102464.
https://doi.org/10.1016/j.xcrp.2025.102464Ahrends, C., Lumaca, M., Kringelbach, M. L., Vidaurre, D. & Vuust, P. (2025).
Prediction of Individual Melodic Contour Processing in Sensory Association Cortices From Resting State Functional Connectivity.
Human Brain Mapping,
46(17), Article e70409.
https://doi.org/10.1002/hbm.70409
Acero-Pousa, I., Escrichs, A., Clara Dagnino, P., Sanz Perl, Y.
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Reconfiguration of functional brain hierarchy in schizophrenia.
Translational Psychiatry,
15(1), Article 356.
https://doi.org/10.1038/s41398-025-03584-0Jespersen, K. V., Stevner, A., Kringelbach, M., Van Someren, E.
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Reduced switching between brain states in insomnia: evidence from modeling of fMRI brain dynamics.
Cerebral Cortex,
35(11), Article bhaf314.
https://doi.org/10.1093/cercor/bhaf314
Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M.
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Reply to Musculus et al. A case of offside in scientific discourse? Proceedings of the National Academy of Sciences of the United States of America,
122(25), Article e2507207122.
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Sadeghi, F., Agua Banyeres, E. D., Pizzuti, A., Okar, A., Grimm, K., Gerloff, C.
, Kringelbach, M. L., Goebel, R., Zittel, S. & Deco, G. (2025).
The arrow of time in Parkinson's disease.
NeuroImage: Clinical,
47, Article 103834.
https://doi.org/10.1016/j.nicl.2025.103834Hoffmann, C. S.
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The effect of music on pregnancy-related insomnia: A systematic review and meta-analysis.
Midwifery,
142, Article 104294.
https://doi.org/10.1016/j.midw.2025.104294Rosas, F. E., Luppi, A. I., Mediano, P. A. M.
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Top-down and bottom-up neuroscience: overcoming the clash of research cultures.
Nature Reviews Neuroscience,
26(9), 513-515.
https://doi.org/10.1038/s41583-025-00946-xPiccinini, J. I., Sanz Perl, Y., Pallavicini, C., Deco, G.
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Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT).
Communications Biology,
8(1), Article 409.
https://doi.org/10.1038/s42003-025-07576-0Deco, G., Perl, Y. S., Jerotic, K., Escrichs, A.
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Turbulence as a framework for brain dynamics in health and disease.
Neuroscience and Biobehavioral Reviews,
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https://doi.org/10.1016/j.neubiorev.2024.105988Escrichs, A., Sanz Perl, Y., Fisher, P. M., Martínez-Molina, N., G-Guzman, E., Frokjaer, V. G.
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Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder.
Molecular Psychiatry,
30(3), 1069-1079. Article 110074.
https://doi.org/10.1038/s41380-024-02690-7Bonetti, L., Risgaard Olsen, E., Carlomagno, F., Serra, E.
, Szabó, S. A., Klarlund, M., Andersen, M. H., Frausing, L.
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Working Memory Predicts Long-Term Recognition of Auditory Sequences: Dissociation Between Confirmed Predictions and Prediction Errors.
Scandinavian Journal of Psychology,
66(6), 842-853.
https://doi.org/10.1111/sjop.13124
Bonetti, L., Fernández-Rubio, G., Lumaca, M., Carlomagno, F.
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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
Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C.
, Kringelbach, M., Deco, G., Ibáñez, A. & Tagliazucchi, E. (2024).
Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition.
Alzheimer's Research & Therapy,
16(1), Article 79.
https://doi.org/10.1186/s13195-024-01449-0Nartallo-Kaluarachchi, R., Asllani, M., Deco, G.
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Broken detailed balance and entropy production in directed networks.
Physical Review E,
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https://doi.org/10.1103/PhysRevE.110.034313Mediano, P. A. M., Rosas, F. E., Timmermann, C., Roseman, L., Nutt, D. J., Feilding, A., Kaelen, M.
, Kringelbach, M. L., Barrett, A. B., Seth, A. K., Muthukumaraswamy, S., Bor, D. & Carhart-Harris, R. L. (2024).
Effects of External Stimulation on Psychedelic State Neurodynamics.
ACS Chemical Neuroscience,
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https://doi.org/10.1021/acschemneuro.3c00289Fasano, M. C., Lazarov, A.
, Willert, M. V., Dalgaard, V. L. P., Watson, L. A., Kringelbach, M. L. & Jønsson, T. F. (2024).
Eye-tracking burnout and depression: Investigating attention allocation to different emotional cues in work-related stress and depression. Poster session presented at Forskningsdag, Randers, Denmark.
Herff, S. A.
, Bonetti, L., Cecchetti, G.
, Vuust, P., Kringelbach, M. L. & Rohrmeier, M. A. (2024).
Hierarchical syntax model of music predicts theta power during music listening.
Neuropsychologia,
199, Article 108905.
https://doi.org/10.1016/j.neuropsychologia.2024.108905Fernández Rubio, G., Olsen, E. R., Klarlund, M., Mallon, O. P., Carlomagno, F.
, Vuust, P., Kringelbach, M. L., Brattico, E. & Bonetti, L. (2024).
Investigating the impact of age on auditory short-term, long-term, and working memory.
Psychology of Music,
52(2), 187-198.
https://doi.org/10.1177/03057356231183404
Tuulari, J. J., Rajasilta, O.
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Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network.
Stress,
27(1), Article 2275207.
https://doi.org/10.1080/10253890.2023.2275207Szakács, H., Mutlu, M. C., Balestrieri, G., Gombos, F., Braun, J.
, Kringelbach, M. L., Deco, G. & Kovács, I. (2024).
Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization.
Advanced Science,
11(21), Article 2308364.
https://doi.org/10.1002/advs.202308364Luppi, A. I., Rosas, F. E., Noonan, M. A. P., Mediano, P. A. M.
, Kringelbach, M. L., Carhart-Harris, R. L., Stamatakis, E. A., Vernon, A. C. & Turkheimer, F. E. (2024).
Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution.
Neuroscientist,
30(2), 173-198.
https://doi.org/10.1177/10738584221138032Dagnino, P. C., Escrichs, A., López-González, A., Gosseries, O., Annen, J., Perl, Y. S.
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Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.
PLoS Computational Biology,
20(5), Article e1011350.
https://doi.org/10.1371/journal.pcbi.1011350Bonetti, L., Fernández-Rubio, G., Carlomagno, F.
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Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding.
Nature Communications,
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Bonetti, L., Brattico, E., Carlomagno, F.
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Spatiotemporal whole-brain activity and functional connectivity of melodies recognition.
Cerebral Cortex,
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Donaire, A., Padilla, N., Escrichs, A., Khawja, M., Setoain, X., Rumia, J., Roldan, P., Bargallo, N., Boget, T., Pintor, L., Centeno, M., Conde, E., Vernet, O., Buendía, J., Manzanares, I., Ådén, U., Carreño, M.
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Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework.
Cerebral cortex (New York, N.Y. : 1991),
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https://doi.org/10.1093/cercor/bhae419Shinozuka, K., Jerotic, K., Mediano, P., Zhao, A. T., Preller, K. H., Carhart-Harris, R.
& Kringelbach, M. L. (2024).
Synergistic, multi-level understanding of psychedelics: three systematic reviews and meta-analyses of their pharmacology, neuroimaging and phenomenology.
Translational Psychiatry,
14(1), Article 485.
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The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework.
National Science Review,
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https://doi.org/10.1093/nsr/nwae124Camassa, A., Torao-Angosto, M., Manasanch, A.
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The temporal asymmetry of cortical dynamics as a signature of brain states.
Scientific Reports,
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https://doi.org/10.1038/s41598-024-74649-1Patow, G., Martin, I., Sanz Perl, Y.
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Whole-brain modelling: an essential tool for understanding brain dynamics.
Nature Reviews Methods Primers,
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Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness.
Communications Biology,
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A Framework for Dance Research. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
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
Bonetti, L., Brattico, E., Bruzzone, S. E. P., Donati, G., Deco, G., Pantazis, D.
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Brain recognition of previously learned versus novel temporal sequences: A differential simultaneous processing.
Cerebral Cortex,
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, 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,
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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
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Disrupted resting-sate brain network dynamics in children born extremely preterm.
Cerebral Cortex,
33(13), 8101-8109.
https://doi.org/10.1093/cercor/bhad101Luppi, A. I., Vohryzek, J.
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Distributed harmonic patterns of structure-function dependence orchestrate human consciousness.
Communications Biology,
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Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling.
Computational and Structural Biotechnology Journal,
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https://doi.org/10.1016/j.csbj.2022.11.060Perl, Y. S., Pallavicini, C., Piccinini, J., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Alnagger, N., Annen, J., Gosseries, O., Ibañez, A., Laufs, H., Sitt, J. D., Jirsa, V. K.
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Low-dimensional organization of global brain states of reduced consciousness.
Cell Reports,
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https://doi.org/10.1016/j.celrep.2023.112491Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., Ponce-Alvarez, A.
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LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics.
PLoS Computational Biology,
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https://doi.org/10.1371/journal.pcbi.1010811Perl, Y. S., Fittipaldi, S., Campo, C. G., Moguilner, S., Cruzat, J., Fraile-Vazquez, M. E., Herzog, R.
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Model-based whole-brain perturbational landscape of neurodegenerative diseases.
eLife,
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Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation.
Network Neuroscience,
7(2), 478-495.
https://doi.org/10.1162/netn_a_00297Tewarie, P. K. B., Hindriks, R., Lai, Y. M., Sotiropoulos, S. N.
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Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.
NeuroImage,
276, Article 120186.
https://doi.org/10.1016/j.neuroimage.2023.120186Deco, G., Sanz Perl, Y., Ponce-Alvarez, A., Tagliazucchi, E., Whybrow, P. C., Fuster, J.
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One ring to rule them all: The unifying role of prefrontal cortex in steering task-related brain dynamics.
Progress in Neurobiology,
227, Article 102468.
https://doi.org/10.1016/j.pneurobio.2023.102468Hoegholt, N. F., Buus, S.
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On screen experiment showed that becoming a parent for the first time shifted people's priorities from themselves to their infant at 1 year of age.
Acta Paediatrica, International Journal of Paediatrics,
112(1), 85-92.
https://doi.org/10.1111/apa.16561
Perl, Y. S., Mininni, P., Tagliazucchi, E.
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Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators.
Physical Review Research ,
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https://doi.org/10.1103/PhysRevResearch.5.033183Hoegholt, N. F., Buus, S.
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Sleep-deprived new mothers gave their infants a higher priority than themselves.
Acta Paediatrica, International Journal of Paediatrics,
112(1), 93-99.
https://doi.org/10.1111/apa.16560
Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S.
, Kringelbach, M. L., Deco, G., Tagliazucchi, E. & Ibañez, A. (2023).
Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease.
The Journal of Neuroscience,
43(9), 1643-1656.
https://doi.org/10.1523/JNEUROSCI.1312-22.2022Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2023).
The early adolescent brain on music: Analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system.
Human Brain Mapping,
44(2), 429-446.
https://doi.org/10.1002/hbm.26060
Escrichs, A., Sanz Perl, Y., Martínez-Molina, N., Biarnes, C., Garre-Olmo, J., Fernández-Real, J. M., Ramos, R., Martí, R., Pamplona, R., Brugada, R., Serena, J., Ramió-Torrentà, L., Coll-De-Tuero, G., Gallart, L., Barretina, J., Vilanova, J. C., Mayneris-Perxachs, J., Saba, L., Pedraza, S. ... Deco, G. (2023).
The effect of external stimulation on functional networks in the aging healthy human brain.
Cerebral Cortex,
33(1), 235-245.
https://doi.org/10.1093/cercor/bhac064Deco, G., Liebana Garcia, S., Sanz Perl, Y., Sporns, O.
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The effect of turbulence in brain dynamics information transfer measured with magnetoencephalography.
Communications Physics,
6(1), Article 74.
https://doi.org/10.1038/s42005-023-01192-2Perl, Y. S., Zamora-Lopez, G., Montbrió, E., Monge-Asensio, M., Vohryzek, J., Fittipaldi, S., Campo, C. G., Moguilner, S., Ibañez, A., Tagliazucchi, E., Yeo, B. T. T.
, Kringelbach, M. L. & Deco, G. (2023).
The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations.
Network Neuroscience,
7(2), 632-660.
https://doi.org/10.1162/netn_a_00299Guzmán, E. G., Perl, Y. S., Vohryzek, J., Escrichs, A., Manasova, D., Türker, B., Tagliazucchi, E.
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The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states.
Interface Focus,
13(3), Article 20220086.
https://doi.org/10.1098/rsfs.2022.0086Foster Vander Elst, O., Foster, N. H. D.
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The Neuroscience of Dance: A Conceptual Framework and Systematic Review.
Neuroscience and Biobehavioral Reviews,
150, Article 105197.
https://doi.org/10.1016/j.neubiorev.2023.105197
Mana, L., Vila-Vidal, M., Köckeritz, C., Aquino, K., Fornito, A.
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Using in silico perturbational approach to identify critical areas in schizophrenia.
Cerebral Cortex,
33(12), 7642-7658.
https://doi.org/10.1093/cercor/bhad067Fernández Rubio, G., Carlomagno, F.
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Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences.
PNAS Nexus,
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https://doi.org/10.1093/pnasnexus/pgac216
Ahrends, C., Stevner, A., Pervaiz, U.
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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
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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
Luppi, A. I.
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& 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-wCharquero-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
Cruzat, J., Perl, Y. S., Escrichs, A., Vohryzek, J., Timmermann, C., Roseman, L., Luppi, A. I., Ibañez, A., Nutt, D., Carhart-Harris, R., Tagliazucchi, E., Deco, G.
& Kringelbach, M. L. (2022).
Effects of classic psychedelic drugs on turbulent signatures in brain dynamics.
Network Neuroscience,
6(4), 1104-1124.
https://doi.org/10.1162/netn_a_00250Shakiba, N., Li, C., Garcia-Ojalvo, J., Cho, K. H., Patil, K., Walczak, A., Liu, Y. Y., Kuehn, S., Nie, Q., Klein, A., Deco, G.
, Kringelbach, M. & Iyer-Biswas, S. (2022).
How can Waddington-like landscapes facilitate insights beyond developmental biology? Cell Systems,
13(1), 4-9.
https://doi.org/10.1016/j.cels.2021.12.003Lebedev, A. V., Abé, C., Acar, K., Deco, G.
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Large-scale societal dynamics are reflected in human mood and brain.
Scientific Reports,
12, Article 4646.
https://doi.org/10.1038/s41598-022-08569-3Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M.
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Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia.
Cerebral Cortex,
32(2), 298-311.
https://doi.org/10.1093/cercor/bhab209Fernández-Rubio, G., Brattico, E., Kotz, S. A.
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Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences.
Communications Biology,
5(1), Article 1272.
https://doi.org/10.1038/s42003-022-04217-8
Cabral, J., Castaldo, F., Vohryzek, J., Litvak, V., Bick, C., Lambiotte, R., Friston, K.
, Kringelbach, M. L. & Deco, G. (2022).
Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome.
Communications Physics,
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McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G.
, Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022).
Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses.
Neuroscience and Biobehavioral Reviews,
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https://doi.org/10.1016/j.neubiorev.2022.104689Singleton, 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/s41467-022-33578-1Louzolo, A., Lebedev, A. V., Björnsdotter, M., Acar, K.
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Resistance to Extinction of Evaluative Fear Conditioning in Delusion Proneness.
Schizophrenia Bulletin Open,
3(1), Article sgac033.
https://doi.org/10.1093/schizbullopen/sgac033Perl, Y. S., Escrichs, A., Tagliazucchi, E.
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Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics.
PLoS Computational Biology,
18(11), Article e1010662.
https://doi.org/10.1371/journal.pcbi.1010662Fasano, M. C., Brattico, E., Lorenzen, I. S., Gargiulo, A.
, Kringelbach, M. L., Semeraro, C. & Cassibba, R. (2022).
The impact of orchestral playing on children's lives. In T. Chemi, E. Brattico, L. Overby Fjorback & L. Harmat (Eds.),
Arts and Mindfulness Education for Human Flourishing (pp. 106-123). Routledge.
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Deco, G., Sanz Perl, Y., Bocaccio, H., Tagliazucchi, E.
& Kringelbach, M. L. (2022).
The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states.
Communications Biology,
5(1), Article 572.
https://doi.org/10.1038/s42003-022-03505-7Vohryzek, J.
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Understanding brain states across spacetime informed by whole-brain modelling.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences,
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https://doi.org/10.1098/rsta.2021.0247Escrichs, 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.
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Unifying turbulent dynamics framework distinguishes different brain states.
Communications Biology,
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https://doi.org/10.1038/s42003-022-03576-6Soler-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.1010412Uribe, C., Escrichs, A., de Filippi, E., Sanz-Perl, Y., Junque, C., Gomez-Gil, E.
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Whole-brain dynamics differentiate among cisgender and transgender individuals.
Human Brain Mapping,
43(13), 4103-4115.
https://doi.org/10.1002/hbm.25905Stark, E., Stacey, J., Mandy, W.
, Kringelbach, M. L. & Happé, F. (2021).
Autistic Cognition: Charting Routes to Anxiety.
Trends in Cognitive Sciences,
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https://doi.org/10.1016/j.tics.2021.03.014Galadí, J. A., Silva Pereira, S., Sanz Perl, Y.
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Capturing the non-stationarity of whole-brain dynamics underlying human brain states.
NeuroImage,
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https://doi.org/10.1016/j.neuroimage.2021.118551Rué-Queralt, J.
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& 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/s42003-021-02369-7Deco, G.
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Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape.
Science Advances,
7(29), Article eabf4752.
https://doi.org/10.1126/sciadv.abf4752Wong, W. W.
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, Kringelbach, M. L. & Feusner, J. D. (2021).
Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder.
Neuropsychopharmacology,
46(11), 2030-2038.
https://doi.org/10.1038/s41386-021-01039-wGlomb, K.
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& Atasoy, S. (2021).
Functional harmonics reveal multi-dimensional basis functions underlying cortical organization.
Cell Reports,
36(8), Article 109554.
https://doi.org/10.1016/j.celrep.2021.109554Signorelli, C. M., Uhrig, L.
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Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss.
NeuroImage,
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https://doi.org/10.1016/j.neuroimage.2020.117618Jobst, B. M., Atasoy, S., Ponce-Alvarez, A., Sanjuán, A., Roseman, L., Kaelen, M., Carhart-Harris, R.
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Increased sensitivity to strong perturbations in a whole-brain model of LSD.
NeuroImage,
230, Article 117809.
https://doi.org/10.1016/j.neuroimage.2021.117809Bar-Haim, Y., Stein, M. B., Bryant, R. A., Bliese, P. D., Ben Yehuda, A.
, Kringelbach, M. L., Jain, S., Dan, O., Lazarov, A., Wald, I., Levi, O., Neria, Y. & Pine, D. S. (2021).
Intrusive Traumatic Reexperiencing: Pathognomonic of the Psychological Response to Traumatic Stress.
The American Journal of Psychiatry (Spanish Edition),
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https://doi.org/10.1176/appi.ajp.2020.19121231López-González, A., Panda, R., Ponce-Alvarez, A., Zamora-López, G., Escrichs, A., Martial, C., Thibaut, A., Gosseries, O.
, Kringelbach, M. L., Annen, J., Laureys, S. & Deco, G. (2021).
Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics.
Communications Biology,
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https://doi.org/10.1038/s42003-021-02537-9Bruzzone, S. E. P.
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On the brain networks organization of individuals with high versus average fluid intelligence: a combined DTI and MEG study.
https://doi.org/10.1101/2021.10.14.464389Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A.
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Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
PLoS Computational Biology,
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https://doi.org/10.1371/journal.pcbi.1009139Bonetti, L., Brattico, E., Carlomagno, F., Donati, G.
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Rapid encoding of musical tones discovered in whole-brain connectivity.
NeuroImage,
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https://doi.org/10.1016/j.neuroimage.2021.118735
Deco, G., Sanz Perl, Y.
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& Kringelbach, M. L. (2021).
Rare long-range cortical connections enhance human information processing.
Current Biology,
31(20), 4436-4448.e5.
https://doi.org/10.1016/j.cub.2021.07.064Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D.
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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals.
NeuroImage,
226, Article 117470.
https://doi.org/10.1016/j.neuroimage.2020.117470Fasano, M. C., Semeraro, C., Cassibba, R.
, Vuust, P., Kringelbach, M. L. & Brattico, E. (2021).
The effects of a learner-centred music training program on intrinsic and extrinsic motivation. Poster session presented at The Neurosciences and Music VII - Connecting with music across the lifespan.
De Filippi, E., Uribe, C., Avila-Varela, D. S., Martínez-Molina, N., Gashaj, V., Pritschet, L., Santander, T., Jacobs, E. G.
, Kringelbach, M. L., Sanz Perl, Y., Deco, G. & Escrichs, A. (2021).
The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics.
Frontiers in Neuroscience,
15, Article 753820.
https://doi.org/10.3389/fnins.2021.753820Stark, E. A.
, Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A.
& Kringelbach, M. L. (2021).
The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality.
Cerebral cortex (New York, N.Y. : 1991),
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https://doi.org/10.1093/cercor/bhz219Heggli, O. A., Konvalinka, I.
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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
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.2021.09.006Fjaeldstad, 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,
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https://doi.org/10.3389/fnsys.2021.638053
Padilla, N., Saenger, V. M.
, van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R.
, Kringelbach, M., Deco, G. & Åden, U. (2020).
Breakdown of Whole-brain Dynamics in Preterm-born Children.
Cerebral Cortex,
30(3), 1159-1170.
https://doi.org/10.1093/cercor/bhz156Perl, Y. S., Pallavicini, C., Ipiña, I. P.
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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.2020.110069Kringelbach, 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 (PNAS),
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https://doi.org/10.1073/pnas.1921475117
Perl, Y. S., Bocaccio, H., Pérez-Ipiña, I., Zamberlán, F., Piccinini, J., Laufs, H.
, Kringelbach, M., Deco, G. & Tagliazucchi, E. (2020).
Generative Embeddings of Brain Collective Dynamics Using Variational Autoencoders.
Physical Review Letters,
125(23), Article 238101.
https://doi.org/10.1103/PhysRevLett.125.238101Vohryzek, J., Deco, G., Cessac, B.
, Kringelbach, M. L. & Cabral, J. (2020).
Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States.
Frontiers in Systems Neuroscience,
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https://doi.org/10.3389/fnsys.2020.00020Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C.
, Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020).
Human brain connectivity: Clinical applications for clinical neurophysiology.
Clinical Neurophysiology,
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https://doi.org/10.1016/j.clinph.2020.03.031Ipiña, I. P., Kehoe, P. D.
, Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020).
Modeling regional changes in dynamic stability during sleep and wakefulness.
NeuroImage,
215, Article 116833.
https://doi.org/10.1016/j.neuroimage.2020.116833Alonso Martínez, S., Marsman, J. B. C.
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Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup.
NeuroImage: Clinical,
27, Article 102299.
https://doi.org/10.1016/j.nicl.2020.102299Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E.
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Reduced structural connectivity in Insomnia Disorder.
Journal of Sleep Research,
29(1), Article e12901.
https://doi.org/10.1111/jsr.12901
Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2020).
The early adolescent brain on music: analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. bioRxiv.
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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.
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A Kuramoto model of self-other integration across interpersonal synchronization strategies.
PLoS Computational Biology,
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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.24559Jespersen, 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.
Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E.
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A randomized controlled trial of bedtime music for insomnia disorder.
Journal of Sleep Research,
28(4), Article e12817.
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Awakening: Predicting external stimulation to force transitions between different brain states.
Proceedings of the National Academy of Sciences (PNAS),
116(36), 18088-18097.
https://doi.org/10.1073/pnas.1905534116Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H.
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Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep.
Nature Communications,
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Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D.
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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
Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L.
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Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin.
NeuroImage,
199, 127-142.
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Environmental light and time of day modulate subjective liking and wanting.
Emotion (Washington, D.C.),
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https://doi.org/10.1037/emo0000402Fasano, M. C., Cabral, J., Stevner, A., Cantou, P., Vuust, P., Siemens Lorenzen, I.
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Music attracts orbitofrontal reward brain network in early adolescence: An fMRI study. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.
Ahrends, C., Bravo, F.
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Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty.
Scientific Reports,
9, Article 12177.
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Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity.
Human Brain Mapping,
40(10), 2967-2980.
https://doi.org/10.1002/hbm.24572Fasano, M. C., Semeraro, C., Cassibba, R.
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Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study.
Frontiers in Psychology,
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Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study.
Sleep,
41(4), Article 022.
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Distinct criticality of phase and amplitude dynamics in the resting brain.
NeuroImage,
180, 442-447.
https://doi.org/10.1016/j.neuroimage.2018.03.002Zou, L.-Q., Zhou, H.-Y., Zhuang, Y.
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Neural responses during the anticipation and receipt of olfactory reward and punishment in human.
Neuropsychologia,
111, 172-179.
https://doi.org/10.1016/j.neuropsychologia.2018.02.003Deco, G.
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Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states.
NeuroImage,
169, 46-56.
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Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage,
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The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG.
NeuroImage,
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Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD.
Current Biology,
28(19), 3065-+.
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Brain fingerprints of olfaction: a novel structural method for assessing olfactory cortical networks in health and disease.
Scientific Reports,
7(7), Article 42534.
https://doi.org/10.1038/srep42534
Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N.
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Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest.
Scientific Reports,
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https://doi.org/10.1038/s41598-017-05425-7
Atasoy, S., Roseman, L., Kaelen, M.
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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/s41598-017-17546-0Parsons, C. E., Young, K. S.
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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.
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Rayson, H.
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Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness".
Cleft Palate - Craniofacial Journal,
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https://doi.org/10.1597/16-015Riem, M. M. E., van Ijzendoorn, M. H.
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Experimental manipulation of infant temperament affects amygdala functional connectivity.
Cognitive, Affective & Behavioral Neuroscience,
17(4), 858-868.
https://doi.org/10.3758/s13415-017-0518-8Bettinardi, R. G., Deco, G., Karlaftis, V. M.
, Van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z.
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How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure.
Chaos,
27(4), 047409.
https://doi.org/10.1063/1.4980099Jobst, B. M., Hindriks, R., Laufs, H., Tagliazucchi, E., Hahn, G., Ponce-Alvarez, A.
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Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling.
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7(1), 4634. Article 4634.
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