PUBLICATIONS

  1. Samoylenko, I., Aleja, D., Primo, E., Alfaro-Bittner, K., Vasilyeva, E., Kovalenko, K., Musatov, D., Raigorodskii, A.M., Criado, R., Romance, M., Papo, D., Perc, M., Barzel, B., and Boccaletti, S. (2023). Why are there six degrees of separation in a social network? Physical Review X, 13:021032. [.pdf]
  2. Bernardi, D., Shannahoff-Khalsa, D., Sale, J., Wright, J.A., Fadiga, L., & Papo D. (2023). The time scales of irreversibility in spontaneous brain activity are altered in obsessive compulsive disorder. Frontiers in Psychiatry 14:1158404. [.pdf]
  3. Zanin, M., Güntekin, B., Yener, G., Sequeira, H., & Papo D. (2022). Telling functional networks apart using ranked network features stability. Scientific Reports, 12:2562. [.pdf]
  4. Papo, D. (2021). Attaining the recesses of the cognitive space. Cognitive Neurodynamics, 16:767–778. [.pdf]
  5. Zanin, M., & Papo, D. (2021). Algorithmic approaches for assessing irreversibility in time series: review and comparison Entropy, 23:1474. [.pdf]
  6. Korhonen, O., Zanin, M., & Papo, D. (2021). Principles and open questions in functional brain network reconstruction. Human Brain Mapping, 42:3680–3711. [.pdf]
  7. Zanin, M., Ivanoska, I., Güntekin, B., Yener, G., Loncar-Turukalo, T., Jakovljevic, N., Sveljo, O., & Papo D. (2021). A fast transform for brain connectivity difference evaluation. Neuroinformatics, 20:285–299. [.pdf]
  8. Zanin, M., & Papo, D. (2020). Travel restrictions during pandemics: a useful strategy? Chaos, 30:111103. [.pdf]
  9. Sendiña-Nadal, I., Leyva, I., Perc, M., Papo, D., Jusup, M., Wang, Z., Almendral, J.A., Manshour, P., & Boccaletti S. (2020). Diverse strategic identities induce dynamical states in evolutionary games. Physical Review Resesarch, 2:043168. arXiv:2006.09798. [.pdf] [arXiv]
  10. Papo, D., Righetti, M., Fadiga, L., Biscarini, F., & Zanin, M., (2020). A minimal model of hospital patients’ dynamics in COVID-19. Chaos Solitons & Fractals, 140:110157. [.pdf]
  11. Zanin, M., & Papo, D. (2020). Assessing functional propagation patterns in COVID-19. Chaos Solitons & Fractals, 138:109993. [.pdf]
  12. Zanin, M., Güntekin, B., Aktürk, T., Hanoğlu, L., & Papo, D. (2020). Time irreversibility of resting brain activity in the healthy brain and pathology. Frontiers in Fractal Physiology, 10:1619. [.pdf] [arXiv]
  13. Tozzi, A., & Papo, D. (2020). Projective mechanisms subtending real world phenomena wipe away cause effect relationships. Progress in Biophysics and Molecular Biology, 151:1-13. [.pdf]
  14. Papo, D., & Buldú, J.M. (2019). Brain synchronizability: a false friend. Neuroimage, 196:195-199. [.pdf] [arXiv]
  15. Papo, D. (2019). Gauging functional brain activity: from distinguishability to accessibility. Frontiers in Fractal Physiology, 10:509; arXiv:1902.08511. [arXiv]
  16. Papo, D. (2019). Neurofeedback: principles, appraisal and outstanding issues. European Journal of Neuroscience, 49:1454–1469. doi: 10.1111/ejn.14312; arXiv:1805.05303 [.pdf], [arXiv]
  17. Larochette, C., Wawrziczny, E., Papo, D., Antoine, P., & Pasquier, F. (2019). An acceptance, role transition, and couple dynamics-based program for caregivers: A qualitative study of the experience of spouses of persons with young-onset dementia. Dementia, 1471301219854643.
  18. Zanin, M., Rodríguez-González, A., Menasalvas Ruiz, E., & Papo, D. (2018). Assessing time series reversibility through permutation patterns. Entropy, 20:665. [.pdf]
  19. Martínez,  J.M., Buldú, J.M., Papo, D., De Vico Fallani, F. & Chavez, M. (2018). Role of inter-hemispheric connections in functional brain networks. Scientific Reports, 8:10246. [.pdf]
  20. Buldú, J.M., & Papo, D. (2018). Can multilayer brain networks be a real step forward? Comment on “Network science of biological systems at different scales: a review”. Physics of Life Reviews, 24:153-155. [abstract]
  21. Wawrziczny, E., Larochette, C., Papo, D., Constant, E., Ducharme, F., Kergoat, M.J., Pasquier, F., & Antoine, P. (2018). A customized intervention for dementia caregivers: a quasi-experimental design. Journal of Aging and Health, 0898264318770056.
  22. Papo, D. (2017). Beyond the anatomy-based representation of brain function. Comment on “Topodynamics of metastable brains” by Arturo Tozzi et al. Physics of Life Reviews, 21:42-45. [.pdf]
  23. Papo, D., Goñi, J., & Buldú, J.M. (2017). Editorial: On the relation of dynamics and structure in brain networks. Chaos, 27:047201. [.pdf]
  24. Zanin, M., & Papo, D. (2017). Detecting switching and intermittent causalities in time series. Chaos, 27:047403. doi:10.1063/1.4979046 [.pdf]
  25. Zanin, M., & Papo, D. (2016). The ACE brain. Frontiers in Computational Neuroscience, 10:122. doi:10.3389/fncom.2016.00122 . [.pdf]
  26. Papo, D. (2016). Commentary: The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs. Frontiers in Human Neuroscience, 10:423. doi:10.3389/fnhum.2016.00423 [.pdf]
  27. Zanin, M., Papo, D., Sousa, P.A., Menasalvas, E., Nicchi, A., Kubik, E., & Boccaletti, S. (2016). Combining complex networks and data mining: why and how. Physics Reports, 635:1-44. doi:10.1016/j.physrep.2016.04.005 [.pdf] [arXiv]
  28. Zanin, M., Papo, D., Romance, M., Criado, R., & Moral, S. (2016). The topology of card transaction money flows. Physica A, 462:134-140.  arXiv:1605.04938v1. [arXiv]
  29. Papo, D., Zanin, M., Martínez, J.H., & Buldú, J.M. (2016). Beware of the Small-World, neuroscientist! Frontiers in Human Neuroscience, 10:96. doi:10.3389/fnhum.2016.00096. [.pdf] [arXiv]
  30. Sevilla-Escoboza, R., Buldú, J.M., Boccaletti, S., Papo, D., Hwang, D.-U., Huerta-Cuellar, G., & Gutiérrez, R. (2016). Experimental implementation of maximally synchronizable networks. Physica A, 448:113-121. arXiv:1507.02551. [Abstract] [arXiv]
  31. Buldú, J.M., Sevilla-Escoboza, R., Aguirre, J., Papo, D., and Gutiérrez, R. (2016).  Interconnecting networks: the role of connector links. In: Interconnected networks, Antonios Garas (Ed.), pp. 61-77, Springer. [Abstract]
  32. Zanin, M., & Papo, D. (2016).  Identity assurance through EEG recordings. In: Handbook of Research on Human-Computer Interfaces, Developments, and Applications, João Rodrigues, Pedro Cardoso, Jânio Monteiro, and Mauro Figueiredo, Eds. doi: 10.4018/978-1-5225-0435-1.ch022. [Abstract]
  33. Zanin, M., & Papo, D. (2015). Studying attacks to information systems using functional networks. Frontiers in ICT, 2:18. doi: 10.3389/fict.2015.00018. [.pdf]
  34. Papo, D. (2015). How can we study reasoning in the brain? Frontiers in Human Neuroscience, 9:222. doi:10.3389/fnhum.2015.00222. [.pdf] [arXiv]
  35. Martínez, J.H., Ariza, P., Zanin, M., Papo D., Maestú F., J.M., Pastor, Bajo, R., Boccaletti, S. & Buldú, J.M. (2015). Anomalous consistency in mild cognitive impairment: A complex networks approach. Chaos Solitons & Fractals, 70:144-155. arXiv:1311.4700. [Abstract] [.pdf] [arXiv] 
  36. Navas, A., Papo, D., Boccaletti, S., del Pozo, F., Bajo, R., Maestú F., Gil, P., Sendiña-Nadal, I., & Buldú, J.M. (2015). Functional hubs in mild cognitive impairment. International Journal of Bifurcation and Chaos, 25:1550034. arXiv:1307.0969.  [Abstract] [.pdf]
  37. Papo, D., Buldú, J.M., & Boccaletti, S. (2015). Network theory in neuroscience. in Springer Encyclopedia of Computational Neuroscience (pp. 1852-1868). doi:10.1007/978-1-4614-7320-6_713-1. [.pdf]
  38. Zanin, M., & Papo, D. (2014). Characterizing motif dynamics of electric brain activity using symbolic analysis. Entropy, 16:5654-5667. doi:10.3390/e16115654. [Abstract] [.pdf]
  39. Papo, D., Buldú, J.M., Boccaletti, S., & Bullmore, E.T., Complex network theory and the brain. Philosophical Transactions of the Royal Society B, 369:20130520. doi:10.1098/rstb.2013.0520 [.pdf]
  40. Papo, D., Zanin, M., Pineda-Pardo, J.A., Boccaletti, S., & Buldú, J.M. (2014). Functional networks: Great expectations, hard times, and the big leap forward. Philosophical Transactions of the Royal Society B, 369:20130525.  [Abstract] [.pdf]
  41. Papo, D. (2014). Functional significance of complex fluctuations in brain activity: From rest to cognitive neuroscience. Frontiers in Systems Neuroscience, 8:112. doi:10.3389/fnsys.2014.00112. [Abstract] [.pdf]
  42. Aguirre, J., Sevilla-Escoboza, R., Gutiérrez, R., Papo, D., & Buldú, J.M. (2014). Synchronization in interconnected networks: the role of connector nodes. Physical Review Letters, 112:248701. arXiv:1406.0081v2 [Abstract] [arXiv]
  43. Zanin, M., Medina Alcazar, J., Carbajosa, J.V., Gomez Paez, M., Papo, D., Sousa, P., Menasalvas, E., & Boccaletti, S. (2014). Parenclitic networks: uncovering new functions in biological data. Scientific Reports, 4:5112. arXiv:1304.1896v2.  [Abstract] [.pdf]
  44. Papo, D. (2014). Measuring brain temperature without a thermometer. Frontiers in Fractal Physiology, 5:24. doi:10.3389/fphys.2014.00124.  [Abstract] [.pdf]
  45. Papo, D., Zanin, M., & Buldú, J.M. (2014). Reconstructing functional brain networks: have we got the basics right? Frontiers in Human Neuroscience, 8:107. doi:10.3389/fnhum.2014.00107.  [Abstract] [.pdf]
  46. de Santos-Sierra, D., Sendiña-Nadal, I., Leyva, I., Almendral, J.A., Anava, S., Ayali, A., Papo, D., & Boccaletti, S. (2014). Emergence of small-world anatomical networks in self-organizing clustered neuronal cultures. PLoS One, 9:e85828. doi:10.1371/journal.pone.0085828. arXiv:1311.0164.  [Abstract] [.pdf]
  47. Coullaut-Valera, R., Arbaiza I., Bajo, R., Arrúe R., López, M.E., Coullaut-Valera, J., Correas, D., López-Sanz, D., Maestú F., & Papo, D. (2014). Drug polyconsumption is associated with increased synchronization of brain electrical-activity at rest and in a counting task. International Journal of Neural Systems, 24:1450005. doi:10.1142/S0129065714500051.  [Abstract] [.pdf]
  48. Papo, D. (2013). Brain temperature: what it means and what it can do for (cognitive) neuroscientists. arXiv:1310.2906. [arXiv]
  49. Zanin, M., & Papo, D. (2013). Efficient neural codes can lead to spurious synchronization. Frontiers in Computational Neuroscience, 7:125. doi:10.3389/fncom.2013.00125.  [Abstract] [.pdf]
  50. Zanin, M., Papo, D., & Boccaletti, S. (2013). Computing with complex-valued networks of phase oscillators. EPL, 102:40007.  [Abstract] [.pdf]
  51. Papo, D. (2013). Time scales in cognitive neuroscience. Frontiers in Fractal Physiology, 4:86. doi:10.3389/fphys.2013.00086.  [Abstract] [.pdf]
  52. Papo, D. (2013). Why should cognitive neuroscientists study the brain’s resting state? Frontiers in Human Neuroscience, 7:45. doi:10.3389/fnhum.2013.00045.  [Abstract] [.pdf]
  53. Aguirre, J., Papo, D., & Buldú, J.M. (2013). Successful strategies for competing networks. Nature Physics, 9:230-234. doi:10.1038/nphys2556.  [Abstract] [arXiv]
  54. Cardillo, A., Gomez-Gardeñes, J., Zanin, M., Romance, M., Papo, D., del Pozo, F., & Boccaletti, S. (2013). Emergence of network features from multiplexity. Scientific Reports, 3:1344. doi:10.1038/srep01344.  [Abstract] [.pdf]
  55. Leyva, I., Sendiña-Nadal, I., Almendral, J.A., Navas, A., Zanin, M., Papo, D., Buldú, J.M., & Boccaletti, S. (2013). Explosive transitions to synchronization in networks of phase oscillators. Scientific Reports, 3:1281. doi:10.1038/srep01281.  [Abstract] [.pdf]
  56. Zanin, M., Papo, D., González Solís, J.L., Martínez Espinosa, J.C., Frausto-Reyes, C., Palomares Anda, P., Sevilla-Escoboza, R., Jaimes-Reategui, R., Boccaletti, S., Menasalvas, E., & Sousa, P. (2013). Knowledge discovery in spectral data by means of complex networks. Metabolites, 3:155-167.  [Abstract] [.pdf]
  57. Jacob, Y., Papo, D., Hendler., T., & Ben-Jacob, E. (2012). Functional Holography and Cliques in Brain Activation Patterns. In Chaudhary, Vikas (Ed.) Advances in Brain Imaging, In Tech-Online Publisher, (pp. 101-126). [.pdf]
  58. Zanin, M., Sousa, P., Papo, D., Bajo, R., García-Prieto, J., del Pozo, F., Menasalvas, E., & Boccaletti, S. (2012). Optimizing functional network representation of multivariate time series. Scientific Reports, 2:630.  [Abstract] [.pdf]
  59. Zanin, M., Zunino, L., Rosso, O.A., & Papo, D. (2012). Permutation entropy and its main biomedical and econophysics applications: A review. Entropy, 14:1553-1577.  [Abstract] [.pdf]
  60. Avalos-Gaytán, V., Almendral, J.A., Papo, D., Schaeffer, S.E., & Boccaletti, S. (2012). Assortative and modular networks are shaped by adaptive synchronization processes. Physical Review E, 86:015101(R).  [Abstract] [.pdf]
  61. Zanin, M., Gutiérrez, R., Bajo, R., Buldú, J.M., Papo, D., & Boccaletti, S. (2012). Editorial: Dynamics and processes on complex networks. International Journal of Bifurcations and Chaos, 22:1202006.c  [.pdf]
  62. Rad, A.A., Sendiña-Nadal, I., Papo, D., Zanin, M., Buldú, J.M., & Boccaletti, S. (2012). Topological measure locating the effective crossover between segregation and integration in a modular network. Physical Review Letters, 108:228101.  [Abstract] [.pdf]
  63. Gutiérrez, R., Sendiña-Nadal, I., Zanin, M., Papo, D., & Boccaletti, S. (2012). Targeting the dynamics of complex networks. Scientific Reports, 2:396.  [Abstract] [.pdf]
  64. Zanin, M., Papo, D., Sendiña-Nadal, I., & Boccaletti, S. (2011). Computation as an emergent feature of adaptive synchronization. Physical Review E, 84:060102(R).  [Abstract] [.pdf]
  65. Siman-Tov, T., Papo, D., Gadoth, N.,Schonberg, T., Mendelsohn, A., Perry, D., & Hendler, T. (2009). Mind your left: Leftward bias in subcortical fear processing. Journal of Cognitive Neuroscience, 21:1782-1789.  [Abstract] [.pdf]
  66. Lerner, Y., Papo, D., Zhdanov, A., Belozersky, L., & Hendler, T. (2009). Eyes wide shut: Amygdala mediates eyes-closed effect on emotional experience with music. PLoS One, 4:e6230. doi:10.1371/journal.pone.0006230.  [Abstract] [.pdf]
  67. Papo, D. (2008). Where do ideas come from? Brain activity and economic systems. European Journal of Economic and Social Systems, 20:163-186. [Abstract]
  68. Buiatti*, M. Papo*, D., Baudonnière, P.-M., & van Vreeswijk, C. (2007). Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task. Neuroscience, 146:1400-1412. doi:10.1016/j.neuroscience.2007.02.048. *Contributed equally to the MS.  [Abstract] [.pdf]
  69. Hendler, T., Admon, R., & Papo, D. (2007). In the Eyes of the Beholder: Neuronal mediators for the effect of emotional experience on quality of life. In Ritsner, Michael S., Awad, A. George (Eds.) Quality of Life Impairment in Schizophrenia, Mood and Anxiety Disorders – New Perspectives on Research and Treatment; Frankfurt: Springer, (pp. 57-66).
  70. Papo, D., Caverni, J.-P., Douiri, A., Podlipsky, I., & Baudonnière, P.-M. (2007). Time-varying spectral entropy differentiates between positive and negative feedback-related EEG activity in a hypothesis testing paradigm. International Journal of Psychophysiology, 66:183-195. doi:10.1016/j.ijpsycho.2007.06.004.  [Abstract] [.pdf]
  71. Papo, D., Douiri, A., Bouchet, F., Bourzeix, J.-C., Caverni, J.-P., & Baudonnière, P.-M. (2007). Feedback modulates gamma oscillations in a hypothesis testing paradigm. Brain Research, 1141:147-153. doi:10.1016/j.brainres.2007.01.053. [Abstract] [.pdf]
  72. Papo, D., Douiri, A., Caverni, J.-P., Bouchet, F., Bourzeix, J.-C., & Baudonnière, P.-M. (2007). Modulation of late alpha band oscillations by feedback in a hypothesis testing paradigm. International Journal of Psychophysiology, 61:110-116. doi:10.1016/j.ijpsycho.2006.09.002  [Abstract] [.pdf]
  73. Papo, D., Douiri, A., Bouchet, F., Bourzeix, J.-C., Caverni, J.-P., & Baudonnière, P.-M. (2007). Time-frequency intracranial source localization of feedback-related EEG activity in hypothesis testing. Cerebral Cortex, 17:1314-1322. doi:10.1093/cercor/bhl042.  [Abstract] [.pdf]
  74. Lebib, R., Papo, D., Douiri, A., de Bode, S., Gillon, M., & Baudonnière, P.-M. (2004). Modulations of ‘late’ event-related brain potentials in humans by dynamic audiovisual speech stimuli. Neuroscience Letters, 372:74-79.  [Abstract]
  75. Papo, D., Baudonnière, P.-M., Hugueville, L., & Caverni, J.-P. (2003). Feedback in hypothesis testing: An ERP study. Journal of Cognitive Neuroscience, 15:508-522.  [Abstract] [.pdf]
  76. Lebib, R., Papo, D., de Bode, S., & Baudonnière, P.-M. (2003). Evidence of a visual-to-auditory cross-modal sensory gating phenomenon as reflected by the P50 event-related brain potential modulation. Neuroscience Letters, 341:185-188.  [Abstract] [.pdf]
  77. Yardley, L., Papo, D., Bronstein, A., Gresty, M., Gardner, M., Lavie, N., & Luxon, L. (2002). Attentional demands of continuously monitoring orientation using vestibular information. Neuropsychologia, 40:373-383.  [Abstract] [.pdf]
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