Publications of Gustavo Deco

Vohryzek, J., Cabral, J., Lord, L.-D., Fernandes, H. M., Roseman, L., Nutt, D. J., … Kringelbach, M. L. (2024). Brain dynamics predictive of response to psilocybin for treatment-resistant depression. Brain Communications, 6. doi:10.1093/braincomms/fcae049

França, L. G. S., Ciarrusta, J., Gale-Grant, O., Fenn-Moltu, S., Fitzgibbon, S., Chew, A., … Batalle, D. (2024). Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment. Nature Communications, 15. doi:10.1038/s41467-023-44050-z

Deco, G., Perl, Y. S., de la Fuente, L., Sitt, J. D., Yeo, B. T. T., Tagliazucchi, E., & Kringelbach, M. L. (2023). The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network. Network Neuroscience, 7, 966–998.

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. doi:10.1016/j.neuroimage.2023.120186

Chakraborty, P., Saha, S., Deco, G., Banerjee, A., & Roy, D. (2023). Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism. Cerebral Cortex Communications, 4. doi:10.1093/texcom/tgad012

Lawn, T., Howard, M. A., Turkheimer, F., Misic, B., Deco, G., Martins, D., & Dipasquale, O. (2023). From neurotransmitters to networks: Transcending organisational hierarchies with molecular-informed functional imaging. Neuroscience and Biobehavioral Reviews, 150. doi:10.1016/j.neubiorev.2023.105193

Eraifej, J., Cabral, J., Fernandes, H. M., Kahan, J., He, S., Mancini, L., … Green, A. L. (2023). Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation. Network Neuroscience, 7, 478–495.

Sanz Perl, Y., Zamora-Lopez, G., Montbrió, E., Monge-Asensio, M., Vohryzek, J., Fittipaldi, S., … Deco, G. (2023). The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations. Network Neuroscience, 7, 632–660.

Castaldo, F., dos Santos, F. P., Timms, R. C., Cabral, J., Vohryzek, J., Deco, G., … Litvak, V. (2023). Multi-modal and multi-model interrogation of large-scale functional brain. NeuroImage, 277. doi:10.1016/j.neuroimage.2023.120236

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, 8101–8109.

G-Guzmán, E., Perl, Y. S., Vohryzek, J., Escrichs, A., Manasova, D., Türker, B., … Deco, G. (2023). The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states. Interface Focus, 13. doi:10.1098/rsfs.2022.0086

Panda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., … Annen, J. (2023). Whole‐brain analyses indicate the impairment of posterior integration and thalamo‐frontotemporal broadcasting in disorders of consciousness. Human Brain Mapping, 44, 4352–4371.

Schirner, M., Deco, G., & Ritter, P. (2023). Learning how network structure shapes decision-making for bio-inspired computing. Nature Communications, 14. doi:10.1038/s41467-023-38626-y

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., … Sitt, J. D. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275. doi:10.1016/j.neuroimage.2023.120162

Sanchez-Todo, R., Bastos, A. M., Sola, E. L., Mercadal, B., Santarnecchi, E., Miller, E. K., … Ruffini, G. (2023). A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings. NeuroImage, 270. doi:10.1016/j.neuroimage.2023.119938

Sanz Perl, Y., Fittipaldi, S., Gonzalez Campo, C., Moguilner, S., Cruzat, J., Fraile-Vazquez, M. E., … Tagliazucchi, E. (2023). Model-based whole-brain perturbational landscape of neurodegenerative diseases. ELife, 12. doi:10.7554/eLife.83970

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., … Ibañez, A. (2023). Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease. The Journal of Neuroscience, 43, 1643–1656.

de la Fuente, L. A., Zamberlan, F., Bocaccio, H., Kringelbach, M., Deco, G., Perl, Y. S., … Tagliazucchi, E. (2023). Temporal irreversibility of neural dynamics as a signature of consciousness. Cerebral Cortex, 33, 1856–1865.

Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., … Deco, G. (2023). LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLoS Computational Biology, 19. doi:10.1371/journal.pcbi.1010811

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L.-D., Fernandes, H., … 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.