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Young, K., Parsons, C., Stein, A., Jegindø, E.-M. E., van Hartevelt, T. J. & Kringelbach, M. L. (2012). Specialised processing of infant vocal sounds in the adult brain: A magnetoencephalography study. Poster session presented at Society for Neuroscience, New Orleans, United States.
Young, K., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Depression alters movement in response to salient emotional sounds and in social interactions. Poster session presented at Neuroscience 2015, Chicago, IL, United States.
Young, K. S., Parsons, C. E., LeBeau, R. T., Tabak, B. A., Sewart, A. R., Stein, A., Kringelbach, M. L. & Craske, M. G. (2017). Sensing Emotion in Voices: Negativity Bias and Gender Differences in a Validation Study of the Oxford Vocal ('OxVoc') Sounds Database. Psychological Assessment, 29(8), 967-977. https://doi.org/10.1037/pas0000382
Wilson, J., Jenkinson, M., de Araujo, I. E. T., Kringelbach, M. L., Rolls, E. T. & Jezzard, P. (2002). Fast, fully automated global and local magnetic field optimization for fMRI of the human brain. NeuroImage, 17, 967-976.
Vuust, P. & Kringelbach, M. L. (2010). The pleasure of making sense of music. Interdisciplinary Science Reviews, 35(2), 168-185.
Vuust, P. & Kringelbach, M. L. (2017). Music Improvisation: A Challenge for Empirical Research. In R. Ashley & R. Timmers (Eds.), The Routledge Companion to Music Cognition (pp. 265-276). Routledge. https://doi.org/10.4324/9781315194738
Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5
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
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
Vohryzek, J., Cabral, J., Timmermann, C., Atasoy, S., Roseman, L., Nutt, D. J., Carhart-Harris, R. L., Deco, G. & Kringelbach, M. L. (2024). The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework. National Science Review, 11(5), Article nwae124. https://doi.org/10.1093/nsr/nwae124
Vohryzek, J., Sanz-Perl, Y., Kringelbach, M. L. & Deco, G. (2025). Human brain dynamics are shaped by rare long-range connections over and above cortical geometry. Proceedings of the National Academy of Sciences of the United States of America, 122(1), Article e2415102122. https://doi.org/10.1073/pnas.2415102122
Vohryzek, J., Luppi, A. I., Atasoy, S., Deco, G., Carhart-Harris, R. L., Timmermann, C. & Kringelbach, M. L. (2025). N,N-dimethyltryptamine effects on connectome harmonics, subjective experience and comparative psychedelic experiences. Neuropsychopharmacology, 50(12), 1768-1776. https://doi.org/10.1038/s41386-025-02190-4
Voellm, B. A., de Araujo, I. E. T., Cowen, P. J., Rolls, E. T., Kringelbach, M. L., Smith, K. A., Jezzard, P., Heal, R. J. & Matthews, P. M. (2004). Methamphetamine activates reward circuitry in drug naive human subjects. Neuropsychopharmacology, 29(9), 1715-22.
Van Maldegem, M., Vohryzek, J., Atasoy, S., Alnagger, N., Cardone, P., Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Jaquet, O., Bahri, M. A., Nunez, P., 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.2024.12.036
van Hartevelt, T. J., Kjærgaard, T., Jegindø, E.-M. E., Stevner, A., Mohseni, H., Woolrich, M., Margot, C., Møller, A., Aziz, T., Ovesen, T. & Kringelbach, M. L. (2013). Temporal aspects of the sense of smell: A study using magnetoencephalography. Poster session presented at Society for Neuroscience, San Diego, United States.
van Hartevelt, T. J. & Kringelbach, M. L. (2012). The Olfactory System. In J. K. Mai & G. Paxinos (Eds.), The Human Nervous System (Third ed., pp. 1219-1238). Elsevier, Academic Press. https://doi.org/10.1016/B978-0-12-374236-0.10034-3
van Hartevelt, T. J., Cabral, J., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2012). Human brain connectivity: the effects of long term Deep Brain Stimulation. Poster session presented at Annual Society for Neuroscience Meeting 2012, New Orleans, United States.
van Hartevelt, T. J., Cabral, J., Møller, A., Fitzgerald, J. J., Green, A. L., Aziz, T. Z., Deco, G. & Kringelbach, M. L. (2014). First evidence of neural mechanisms of Hebbian changes in white matter tracts induced by long-term deep brain stimulation. Poster session presented at Society for Neuroscience 2014, Washington DC, United States.
van Hartevelt, T. J. & Kringelbach, M. L. (2015). The Olfactory Cortex. In A. W. Toga (Ed.), Brain Mapping (pp. 347-355). Academic Press. https://doi.org/10.1016/B978-0-12-397025-1.00235-9
van Hartevelt, T. J., Fernandes, H., Stevner, A., Deco, G. & Kringelbach, M. L. (2017). Neural plasticity in human brain connectivity: the effects of deep brain stimulation. In The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain (pp. 527-546). elsevier. https://doi.org/10.1016/B978-0-12-803784-3.00025-1
Uribe, C., Escrichs, A., de Filippi, E., Sanz-Perl, Y., Junque, C., Gomez-Gil, E., Kringelbach, M. L., Guillamon, A. & Deco, G. (2022). Whole-brain dynamics differentiate among cisgender and transgender individuals. Human Brain Mapping, 43(13), 4103-4115. https://doi.org/10.1002/hbm.25905
Tewarie, P. K. B., Hindriks, R., Lai, Y. M., Sotiropoulos, S. N., Kringelbach, M. & Deco, G. (2023). Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage, 276, Article 120186. https://doi.org/10.1016/j.neuroimage.2023.120186
Te Lindert, B. H. W., Itzhacki, J., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2018). Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study. Sleep, 41(4), Article 022. https://doi.org/10.1093/sleep/zsy022
Szakács, 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.202308364
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/s42003-025-09488-5
Stikvoort, W., Pérez-Ordoyo, E., Mindlin, I., Escrichs, A., Sitt, J. D., Kringelbach, M. L., Deco, G. & Perl, Y. S. (2025). Nonequilibrium brain dynamics elicited as the origin of perturbative complexity. PLoS Computational Biology, 21, Article e1013150. https://doi.org/10.1371/journal.pcbi.1013150
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
Stark, 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), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219
Stark, E. A., Stein, A., Young, K. S., Parsons, C. E. & Kringelbach, M. L. (2019). Neurobiology of human parenting. In Handbook of Parenting: Biology and Ecology of Parenting (Vol. 2, pp. 250-284). Taylor and Francis Inc..
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
Stark, E. A., Berridge, K. C. & Kringelbach, M. L. (2023). The neurobiology of liking. In M. Skov & M. Nadal (Eds.), The Routledge International Handbook of Neuroaesthetics (pp. 63-70). Routledge. https://doi.org/10.4324/9781003008675-4
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
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
Shinozuka, 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. https://doi.org/10.1038/s41398-024-03187-1
Shinozuka, K., Tewarie, P. K. B., Luppi, A., Lynn, C., Roseman, L., Muthukumaraswamy, S., Nutt, D. J., Carhart-Harris, R., Deco, G. & Kringelbach, M. L. (2025). LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics. Imaging Neuroscience, 3. https://doi.org/10.1162/imag_a_00420
Shakiba, 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.2021.12.003
Segal, 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/S0033291725100913
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
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.2025.103834
Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., Ponce-Alvarez, A., Kringelbach, M. L., Carhart-Harris, R. & Deco, G. (2023). LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLoS Computational Biology, 19(2), Article e1010811. https://doi.org/10.1371/journal.pcbi.1010811
Rosas, F. E., Luppi, A. I., Mediano, P. A. M., Kringelbach, M. L., Pessoa, L. & Turkheimer, F. (2025). 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-x
Rolls, E. T., Kringelbach, M. L. & de Araujo, I. E. T. (2003). Different representations of pleasant and unpleasant odors in the human brain. European Journal of Neuroscience, 18(3), 695-703.
Rolls, E. T., O'Doherty, J., Kringelbach, M. L., Francis, S., Bowtell, R. & McGlone, F. (2003). Representations of pleasant and painful touch in the human orbitofrontal and cingulate cortices. Cerebral Cortex, 13(3), 308-17.
Riem, M. M. E., van Ijzendoorn, M. H., Parsons, C. E., Young, K. S., De Carli, P., Kringelbach, M. L. & Bakermans-Kranenburg, M. J. (2017). Experimental manipulation of infant temperament affects amygdala functional connectivity. Cognitive, Affective and Behavioral Neuroscience, 17(4), 858-868. https://doi.org/10.3758/s13415-017-0518-8
Rayson, H., Parsons, C. E., Young, K. S., Goodacre, T. E. E., Kringelbach, M. L., Bonaiuto, J. J., McSorley, E. & Murray, L. (2017). Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness". Cleft Palate - Craniofacial Journal, 54(5), 562-570. https://doi.org/10.1597/16-015
Ray, N. J., Kringelbach, M. L., Jenkinson, N., Owen, S. L. F., Davies, P., Wang, S., De Pennington, N., Hansen, P. C., Stein, J. & Aziz, T. Z. (2007). Using magnetoencephalography to investigate deep brain stimulation for cluster headache. Biomedical Imaging and Intervention Journal, 3, e25.
Ray, N. J., Jenkinson, N., Kringelbach, M. L., Hansen, P. C., Pereira, E. A., Brittain, J. S., Holland, P., Holliday, I. E., Owen, S., Stein, J. & Aziz, T. (2008). Abnormal thalamocortical dynamics may be altered by deep brain stimulation: using magnetoencephalography to study phantom limb pain. Journal of Clinical Neuroscience, 16(1), 32-6. https://doi.org/10.1016/j.jocn.2008.03.004
Preston, S., Kringelbach, M. L. & Knutson, B. (2014). The Interdisciplinary Science of Consumption. MIT Press.
Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B. & Deco, G. (2022). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex, 32(2), 298-311. https://doi.org/10.1093/cercor/bhab209
Ponce-Alvarez, A., Kringelbach, M. L. & Deco, G. (2023). Critical scaling of whole-brain resting-state dynamics. Communications Biology, 6(1), Article 627. https://doi.org/10.1038/s42003-023-05001-y
Piccinini, J. I., Sanz Perl, Y., Pallavicini, C., Deco, G., Kringelbach, M., Nutt, D., Carhart-Harris, R., Timmermann, C. & Tagliazucchi, E. (2025). Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT). Communications Biology, 8(1), Article 409. https://doi.org/10.1038/s42003-025-07576-0
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
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.125.238101
Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S. & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLoS Computational Biology, 17(7), Article e1009139. https://doi.org/10.1371/journal.pcbi.1009139
Perl, 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_00299
Perl, 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., Kringelbach, M. L., Laureys, S., Deco, G. & Tagliazucchi, E. (2023). Low-dimensional organization of global brain states of reduced consciousness. Cell Reports, 42(5), Article 112491. https://doi.org/10.1016/j.celrep.2023.112491
Perl, Y. S., Mininni, P., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2023). Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators. Physical Review Research , 5(3), Article 033183. https://doi.org/10.1103/PhysRevResearch.5.033183
Perl, Y. S., Fittipaldi, S., Campo, C. G., Moguilner, S., Cruzat, J., Fraile-Vazquez, M. E., Herzog, R., Kringelbach, M. L., Deco, G., Prado, P., Ibanez, A. & Tagliazucchi, E. (2023). Model-based whole-brain perturbational landscape of neurodegenerative diseases. eLife, 12, Article e83970. https://doi.org/10.7554/elife.83970
Patow, G., Martin, I., Sanz Perl, Y., Kringelbach, M. L. & Deco, G. (2024). Whole-brain modelling: an essential tool for understanding brain dynamics. Nature Reviews Methods Primers, 4, Article 53. https://doi.org/10.1038/s43586-024-00336-0
Parsons, C. E., Young, K. S., Murray, L., Stein, A. & Kringelbach, M. L. (2010). The functional neuroanatomy of the evolving parent-infant relationship. Progress in Neurobiology, 91, 220-241.
Parsons, C., Young, K. S., Parsons, E., Dean, A., Murray, L., Goodacre, T., Dalton, L., Stein, A. & Kringelbach, M. L. (2011). The effect of cleft lip on adults' responses to faces: cross-species findings. PLoS One, 6(10), e25897. https://doi.org/10.1371/journal.pone.0025897
Parsons, C., Young, K. S., Joensson, M., Brattico, E., Hyam, J. A., Stein, A., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2013). Ready for action: a role for the human midbrain in responding to infant vocalizations. Social Cognitive and Affective Neuroscience (Online). https://doi.org/10.1093/scan/nst076
Parsons, C., Young, K., Jegindø, E.-M. E., Stein, A. & Kringelbach, M. L. (2013). Maternal status impacts the neural processing of infant vocalisations: An fMRI comparison of women with and without young infants. Poster session presented at Society for Neuroscience, San Diego, United States.
Parsons, C., Young, K. S., Bhandari, R., van Ijzendoorn, M. H., Bakermans-Kranenburg, M. J., Stein, A. & Kringelbach, M. L. (2014). The bonnie baby: Experimentally manipulated temperament affects perceived cuteness and motivation to view infant faces. Developmental Science (Online), 17(2), 257-269. https://doi.org/10.1111/desc.12112
Parsons, C., Kringelbach, M. L., Young, K., Craske, M. & Stein, A. (2014). The Oxford Vocal (OxVoc) Sounds Database: A validated set of non-acted emotional sounds from human infants, adults & domestic animals. Poster session presented at Society for Neuroscience 2014, Washington DC, United States.
Pammer, K., Hansen, P. C., Kringelbach, M. L., Holliday, I., Barnes, G., Hillebrand, A., Singh, K. D. & Cornelissen, P. L. (2004). Visual word recognition: the first half second. NeuroImage, 22(4), 1819-25.
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/bhz156
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
Owen, SLF., Heath, J., Kringelbach, M. L., Stein, JF. & Aziz, TZ. (2007). Pre-operative DTI and probabilistic tractography in an amputee with deep brain stimula­tion for lower stump pain. British Journal of Neurosurgery, 21(5), 485-490.
Owen, S. L., Heath, J., Kringelbach, M. L., Green, A. L., Pereira, E. A., Jenkinson, N., Jegan, T., Stein, J. F. & Aziz, T. Z. (2008). Pre-operative DTI and probabilistic tractography in four patients with deep brain stimulation for chronic pain. Journal of Clinical Neuroscience, 15(7), 801-5.
O'Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J. & Andrews, C. (2001). Abstract reward and punishment representations in the human orbitofrontal cortex. Nature Neuroscience, 4(1), 95-102.
O'Doherty, J., Rolls, E. T. & Kringelbach, M. L. (2004). Neuroimaging studies of crossmodal integration for emotion. In Handbook of Multisensory Processing (pp. 563-579). MIT Press.
Nartallo-Kaluarachchi, R., Asllani, M., Deco, G., Kringelbach, M. L., Goriely, A. & Lambiotte, R. (2024). Broken detailed balance and entropy production in directed networks. Physical Review E, 110(3), Article 034313. https://doi.org/10.1103/PhysRevE.110.034313
Nartallo-Kaluarachchi, R., Bonetti, L., Fernández-Rubio, G., Vuust, P., Deco, G., Kringelbach, M. L., Lambiotte, R. & Goriely, A. (2025). 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.2408791122
Nartallo-Kaluarachchi, R., Kringelbach, M., Deco, G., Lambiotte, R. & Goriely, A. (2026). Nonequilibrium physics of brain dynamics. Physics Reports, 1152, 1-43. https://doi.org/10.1016/j.physrep.2025.10.003
Muthsamy, KA., Aravamuthan, BR., Kringelbach, M. L., Jenkonson, N., Voets, NL., Johansen-Berg, H., Stein, JF. & Aziz, TZ. (2007). Connectivity of the human pedunculopontine nucleus region (PPN) and diffusion tensor imaging in surgical targeting. Journal of Neurosurgery, 107(4), 814-820.
Mohseni, H. R., Kringelbach, M. L., Smith, P. P., Green, A. L., Parsons, C. E., Young, K. S., Brittain, J.-S., Hyam, J. A., Schweder, P. M., Stein, J. F. & Aziz, T. Z. (2010). Application of a null-beamformer to source localisation in MEG data of deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1, 4120-4123. https://doi.org/10.1109/IEMBS.2010.5627325
Mohseni, H. R., Smith, P. P., Kringelbach, M. L., Woolrich, M. W. & Aziz, T. Z. (2011). A fast solution to robust minimum variance beamformer and application to simultaneous MEG and local field potential. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 545-548) https://doi.org/10.1109/ICASSP.2011.5946461
Mohseni, H. R., Smith, P. P., Parsons, C., Young, K. S., Hyam, J. A., Stein, A., Stein, J. F., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2012). MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain. PLoS One, 7(6), Article 37993. https://doi.org/10.1371/journal.pone.0037993
Mohseni, H. R., Woolrich, M. W., Kringelbach, M. L., Luckhoo, H., Smith, P. P. & Aziz, T. Z. (2012). Fusion of Magnetometer and Gradiometer Sensors of MEG in the Presence of Multiplicative Error. IEEE transactions on bio-medical engineering, 59(7), 1951-61. https://doi.org/10.1109/TBME.2012.2195001
Mohseni, H. R., Kringelbach, M. L., Woolrich, M. W., Aziz, T. Z. & Smith, P. P. (2013). A new approach to the fusion of EEG and MEG signals using the LCMV beamformer. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1202-1206) https://doi.org/10.1109/ICASSP.2013.6637841
Mohseni, H. R., Kringelbach, M. L., Woolrich, M., Baker, A., Aziz, T. Z. & Probert-Smith, P. (2014). Non-gaussian probabilistic MEG source localisation based on kernel density estimation. NeuroImage, 87, 444-464. https://doi.org/10.1016/j.neuroimage.2013.09.012
Mohseni, H. R., Kringelbach, M. L., Woolrich, M. W., Aziz, T. Z. & Smith, P. P. (2013). A non-Gaussian LCMV beamformer for MEG source reconstruction. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1247-1251). Article 6637850 IEEE. https://doi.org/10.1109/ICASSP.2013.6637850
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/s13195-024-01449-0
Mindlin, I., Herzog, R., Belloli, L., Manasova, D., Monge-Asensio, M., Vohryzek, J., Escrichs, A., Alnagger, N., Núñez, P., Gosseries, O., Kringelbach, M. L., Deco, G., Tagliazucchi, E., Naccache, L., Rohaut, B., Sitt, J. D. & Sanz Perl, Y. (2024). Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness. Communications Biology, 7(1), Article 1176. https://doi.org/10.1038/s42003-024-06852-9
Mediano, 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, 15(3), 462-471. https://doi.org/10.1021/acschemneuro.3c00289
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, 138, Article 104689. https://doi.org/10.1016/j.neubiorev.2022.104689
Mariani 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., Kringelbach, M. L., Batalle, D., Edwards, A. D. & Tuulari, J. J. (2026). 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/s41390-025-04726-2
Mana, L., Vila-Vidal, M., Köckeritz, C., Aquino, K., Fornito, A., Kringelbach, M. L. & Deco, G. (2023). Using in silico perturbational approach to identify critical areas in schizophrenia. Cerebral Cortex, 33(12), 7642-7658. https://doi.org/10.1093/cercor/bhad067
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
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
Luppi, 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/10.1177/10738584221138032
Louzolo, A., Lebedev, A. V., Björnsdotter, M., Acar, K., Ahrends, C., Kringelbach, M. L., Ingvar, M., Olsson, A. & Petrovic, P. (2022). Resistance to Extinction of Evaluative Fear Conditioning in Delusion Proneness. Schizophrenia Bulletin Open, 3(1), Article sgac033. https://doi.org/10.1093/schizbullopen/sgac033
Lord, L.-D., Expert, P., Fernandes, H., Petri, G., Van Hartevelt, T., Vaccarino, F., Deco, G., Turkheimer, F. & Kringelbach, M. (2016). Insights into brain architectures from the homological scaffolds of functional connectivity networks. Frontiers in Systems Neuroscience, 10(85), Article 85. https://doi.org/10.3389/fnsys.2016.00085
Lord, L.-D., Stevner, A. B., Deco, G. & Kringelbach, M. L. (2017). Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2096), Article 20160283. https://doi.org/10.1098/rsta.2016.0283
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
López-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, 4(1), Article 1037. https://doi.org/10.1038/s42003-021-02537-9
Lebedev, A. V., Abé, C., Acar, K., Deco, G., Kringelbach, M. L., Ingvar, M. & Petrovic, P. (2022). Large-scale societal dynamics are reflected in human mood and brain. Scientific Reports, 12, Article 4646. https://doi.org/10.1038/s41598-022-08569-3
Landau, A. M., Møller, A., Winterdahl, M., Jakobsen, S., Alstrup, A. K. O., Schacht, A., Bender, D., Scheel-Krüger, J. & Kringelbach, M. L. (2013). PET imaging of sugar addiction in minipigs: Effects on the dopamine D2/3 receptor. Poster session presented at The XXVIth International Symposium on Cerebral Blood Flow, Metabolism and Function & XIth International Conference on Quantification of Brain Function with PET, Shanghai, China.
Landau, A. M., Møller, A., Winterdahl, M., Alstrup, A. K. O., Jakobsen, S., Schacht, A. C., Bender, D., Scheel-Krüger, J. & Kringelbach, M. L. (2013). PET Imaging Sugar Addiction in Minipigs. Poster session presented at Scandinavian College of Neuropsychopharmacology, København, Denmark.
Kringelbach, M. L., Jenkinson, N., Owen, S. L. F. & Aziz, T. Z. (2007). Translational principles of deep brain stimulation. Nature Reviews. Neuroscience, 8, 623-635.
Kringelbach, M. L., Lethonen, A., Squire, S., Harvey, AG., Craske, MG., Holliday, IE., Green, AL., Aziz, TZ., Hansen, PC., Cornelissen, PL. & Stein, A. (2008). A specific and rapid neural signature for parental instinct. PLoS One, 3(2), e1664.
Kringelbach, M. L. & Aziz, TZ. (2008). Sparking recovery with brain "pacemakers". Scientific American, 6, 36-43.
Kringelbach, M. L., Vuust, P. & Geake, J. (2008). The pleasure of reading. Interdisciplinary Science Reviews, 33(4), 321-335.
Kringelbach, M. L., Owen, SLF. & Aziz, TZ. (2007). Deep brain stimulation. Future Neurology, 2(6), 633-646.
Kringelbach, M. L., Jenkinson, N., Green, AL., Owen, SLF., Hansen, PC., Cornelissen, PL., Holliday, IE., Stein, J. & Aziz, TZ. (2007). Deep brain stimulation for chronic pain investigated with magnetoencephalography. NeuroReport, 18(3), 223-228.
Kringelbach, M. L. (2007). Nydelsesfyldte valg. Kognition og Pædagogik, 66, 6-15.
Kringelbach, M. L. (2007). Emotioner og følelser i men­neskehjernen. In T. Wiben Jensen & M. Skov (Eds.), Følelser og kognition (pp. 77-104). Museum Tusculanum.
Kringelbach, M. L. (2007). Emotion, feelings and hedonics in the human brain. In H. Wulff (Ed.), The Emotions: a cultural reader (pp. 37-60). Berg Publishers.
Kringelbach, M. L. (2004). Learning to change. PLOS Biology, 2(5), E140.
Kringelbach, M. L. (2005). The orbitofrontal cortex: linking reward to hedonic experience. Nature Reviews. Neuroscience, 6(9), 691-702.
Kringelbach, M. L. & Berridge, K. C. (2010). Pleasures of the Brain. Oxford University Press.
Kringelbach, M. L., de Araujo, I. E. & Rolls, E. T. (2004). Taste-related activity in the human dorsolateral prefrontal cortex. NeuroImage, 21(2), 781-8.
Kringelbach, M. L., O'Doherty, J., Rolls, E. T. & Andrews, C. (2000). Sensory-specific satiety for the flavour of food is represented in the orbitofrontal cortex. NeuroImage, 11(5 PART II), S767.
Kringelbach, M. L. (1998). Hjernens Guernica. Naturens Verden, 10, 402-405.
Kringelbach, M. L. & Engell, A. (1997). Early development and plasticity in the brain. Psyke og Logos, 18, 266-86.
Kringelbach, M. L. (2004). Emotion. In The Oxford Companion to the Mind 2nd edition (pp. 287-290). Oxford University Press.
Kringelbach, M. L. (2006). Cortical systems involved in appetite and food consumption. In Appetite and body weight: integrative systems and the development of anti-obesity drugs (pp. 5-26). Pergamon Press.
Kringelbach, M. L. (2006). Hjernerum : læring, motivation og emotion. In Innovation og aflæring (pp. 18-48). Föroya Læraraskúli.
Kringelbach, M. L. & Berridge, K. C. (2009). Introduction: the many faces of pleasure. In Pleasures of the brain (pp. 3-6). Oxford University Press.
Kringelbach, M. L. (2007). Orbitofrontal cortex: Emotioner og følelser i menneskehjernen. In Følelser og kognition (pp. 77-104). Museum Tusculanum.
Kringelbach, M. L. & Aziz, T. Z. (2009). Deep brain stimulation: Avoiding the errors of psychosurgery. JAMA: The Journal of the American Medical Association, 301(16), 1705-1707.
Kringelbach, M. L., L. Green, A., Hyam, J., Moir, L., Parsons, C., Rømer Thomsen, K., Young, K., Kalbitzer, J., Brittain, J. S., Holland, P., Owen, S. L. F., Stein, J., Lou, H. O. C., Stein, A. & Aziz, T. (2009). Using deep brain stimulation to alleviate the suffering in chronic pain: Dissociable regions of the human anterior cingulate cortex. Abstract from Society for Neuroscience 2009, Chicago, United States.
Kringelbach, M. L. & Thomsen, K. R. (2010). Colourful pleasures of the brain. In H. Crenzien (Ed.), Colour in Art (pp. 106-113).
Kringelbach, M. L. (2009). Neural basis of mental representations of motivation, emotion and pleasure. In G. G. Berntson & J. T. Cacioppo (Eds.), Handbook of Neuroscience for the Behavioral Sciences (pp. 807-28). John Wiley & Sons Ltd.
Kringelbach, M. L., Green, A. L., Pereira, E. A. C., Owen, S. L. F. & Aziz, T. Z. (2009). Deep brain stimulation. The Biologist, 56, 144-148.
Kringelbach, M. L. & Fejerskov, O. (2009).  Indsigt og udsyn: et internationalt perspektiv på fremtidens danske universitet. In H. Sander (Ed.), Fremtidens Universitet (pp. 92-108). Gyldendal.
Kringelbach, M. L., Pereira, E. A. C., Green, A. L., Owen, S. L. F. & Aziz, T. Z. (2009). Deep brain stimulation for chronic pain. Journal of Pain Management, 3, 301-314.
Kringelbach, M. L. & Vuust, P. (2010). The pleasure of music. In Pleasures of the brain (pp. 255-269). Oxford University Press.
Kringelbach, M. L. & Stein, A. (2010). Cortical mechanisms of human eating. Forum of Nutrition, 63, 164-175.
Kringelbach, M. L., Green, A. L., Owen, S. L. F., Schweder, P. M. & Aziz, T. Z. (2010). Sing the mind electric: principles of deep brain stimulation. European Journal of Neuroscience, 32(7), 1070-1079.
Kringelbach, M. L. (2010). Finding pleasure in childhood. Nature, 467, 918-919.
Kringelbach, M. L. (2010). The hedonic brain: A functional neuroanatomy of human pleasure. In Pleasures of the brain (pp. 202-221). Oxford University Press.
Kringelbach, M. L., Berridge, K. C., Aldridge, J. W., Shizgal, P., Frijda, N., Cabanac, M., Gottfried, J., Schoengaum, G., Petrovic, P., Small, D. M., Dickinson, A., Komisaruk, B., Green, A. & Leknes, S. (2010). Short Answers to Fundamental Questions about Pleasure. In Pleasures of the Brain (pp. 7-23). Oxford University Press.
Kringelbach, M. L. & Berridge, K. C. (2010). The functional neuroanatomy of pleasure and happiness. Discovery Medicine, 9(49), 579-87.