Publications of Gustavo Deco

Tewarie, P. K. B.; Hindriks, R.; Lai, Y. M.; Sotiropoulos, S. N.; Kringelbach, M.; Deco, G.: Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage 276, 120186 (2023)

Lawn, T.; Howard, M. A.; Turkheimer, F.; Misic, B.; Deco, G.; Martins, D.; Dipasquale, O.: From neurotransmitters to networks: Transcending organisational hierarchies with molecular-informed functional imaging. Neuroscience and Biobehavioral Reviews 150, 105193 (2023)

G-Guzmán, E.; Perl, Y. S.; Vohryzek, J.; Escrichs, A.; Manasova, D.; Türker, B.; Tagliazucchi, E.; Kringelbach, M.; Sitt, J. D.; Deco, G.: The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states. Interface Focus 13 (3), 20220086 (2023)

Panda, R.; López‐González, A.; Gilson, M.; Gosseries, O.; Thibaut, A.; Frasso, G.; Cecconi, B.; Escrichs, A.; Coma Science Group Collaborators; Deco, G. et al.; Laureys, S.; Zamora‐López, G.; Annen, J.: Whole‐brain analyses indicate the impairment of posterior integration and thalamo‐frontotemporal broadcasting in disorders of consciousness. Human Brain Mapping (2023)

Schirner, M.; Deco, G.; Ritter, P.: Learning how network structure shapes decision-making for bio-inspired computing. Nature Communications 14 (1), 2963 (2023)

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. et al.; Shine, J. M.; Kringelbach, M. L.; Orio, P.; Ching, S.; Sanz-Perl, Y.; Diringer, M. N.; Stevens, R. D.; Sitt, J. D.: Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 275, 120162 (2023)

Padilla, N.; Escrichs, A.; del Agua, E.; Kringelbach, M.; Donaire, A.; Deco, G.; Åden, U.: Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex (2023)

Sanchez-Todo, R.; Bastos, A. M.; Sola, E. L.; Mercadal, B.; Santarnecchi, E.; Miller, E. K.; Deco, G.; Ruffini, G.: A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings. NeuroImage 270, 119938 (2023)

Sanz Perl, Y.; Fittipaldi, S.; Gonzalez Campo, C.; Moguilner, S.; Cruzat, J.; Fraile-Vazquez, M. E.; Herzog, R.; Kringelbach, M. L.; Deco, G.; Prado, P. et al.; Ibanez, A.; Tagliazucchi, E.: Model-based whole-brain perturbational landscape of neurodegenerative diseases. eLife 12, e83970 (2023)

Cruzat, J.; Herzog, R.; Prado, P.; Sanz-Perl, Y.; Gonzalez-Gomez, R.; Moguilner, S.; Kringelbach, M. L.; Deco, G.; Tagliazucchi, E.; Ibañez, A.: Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease. The Journal of Neuroscience 43 (9), pp. 1643 - 1656 (2023)

de la Fuente, L. A.; Zamberlan, F.; Bocaccio, H.; Kringelbach, M.; Deco, G.; Perl, Y. S.; Pallavicini, C.; Tagliazucchi, E.: Temporal irreversibility of neural dynamics as a signature of consciousness. Cerebral Cortex 33 (5), pp. 1856 - 1865 (2023)

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.: LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLoS Computational Biology 19 (2), e1010811 (2023)

Vohryzek, J.; Cabral, J.; Castaldo, F.; Sanz-Perl, Y.; Lord, L.-D.; Fernandes, H.; Litvak, V.; Kringelbach, M. L.; Deco, G.: Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal 21, pp. 335 - 345 (2023)

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. et al.; Serena, J.; Ramió-Torrentà, L.; Coll-De-Tuero, G.; Gallart, L.; Barretina, J.; Vilanova, J. C.; Mayneris-Perxachs, J.; Saba, L.; Pedraza, S.; Kringelbach, M. L.; Puig, J.; Deco, G.: The effect of external stimulation on functional networks in the aging healthy human brain. Cerebral Cortex 33 (1), pp. 235 - 245 (2022)

Luppi, A. I.; Cabral, J.; Cofre, R.; Destexhe, A.; Deco, G.; Kringelbach, M. L.: Dynamical models to evaluate structure-function relationships in network neuroscience. Nature Reviews Neuroscience 23 (12), pp. 767 - 768 (2022)

Tian, X.; Chen, Y.; Majka, P.; Szczupak, D.; Perl, Y. S.; Yen, C. C.-C.; Tong, C.; Feng, F.; Jiang, H.; Glen, D. et al.; Deco, G.; Rosa, M. G. P.; Silva, A. C.; Liang, Z.; Liu, C.: An integrated resource for functional and structural connectivity of the marmoset brain. Nature Communications 13 (1), 7416 (2022)

Sanz Perl, Y.; Escrichs, A.; Tagliazucchi, E.; Kringelbach, M. L.; Deco, G.: Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics. PLoS Computational Biology 18 (11), e1010662 (2022)

Capouskova, K.; Kringelbach, M. L.; Deco, G.: Modes of cognition: Evidence from metastable brain dynamics. NeuroImage 260, 119489 (2022)

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.: Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications 13 (1), 5812 (2022)

Cruzat, J.; Perl, Y. S.; Escrichs, A.; Vohryzek, J.; Timmermann, C.; Roseman, L.; Luppi, A. I.; Ibañez, A.; Nutt, D.; Carhart-Harris, R. et al.; Tagliazucchi, E.; Deco, G.; Kringelbach, M. L.: Effects of classic psychedelic drugs on turbulent signatures in brain dynamics. Network Neuroscience 6 (4), pp. 1104 - 1124 (2022)