### Pre-prints

List of currently non-peer-reviewed pre-prints

- TVB C++: A Fast and Flexible Back-End for The Virtual Brain.

I. Martín,**G. Zamora-López**, J. Fousek, M. Schirner, P. Ritter, V. Jirsa, G. Deco and G. Patow.*arXiv*2405.18788 (2024). - Emergence and long-term maintenance of modularity in spiking neural networks with plasticity.

R. Bergoin, A. Torcini, G. Deco, M. Quoy and**G. Zamora-López**.*arXiv*2405.18587 (2024). - Identification and neuromodulation of brain states to promote recovery of consciousness.

G. van der Lande, A. Manasanch, D. Casas-Torremocha, L. Dalla Porta, …**G. Zamora-López**and J. Annen.*zenodo*8377867 (2023). - Advancing the science of consciousness: from ethics to clinical care.

M. Farisco, K. Evers, J. Annen, … J. Goldman and**G. Zamora-López**.*PsyArXiv*(2023). - The global communication architecture of the human brain transcends the subcortical – cortical – cerebellar subdivisions.

J. Schulte, M. Senden, G. Deco, X. Kobeleva and**G. Zamora-López**.*bioRxiv*(2023).

### Peer-reviewed articles

- An integrative dynamical perspective for graph theory and the study of complex networks.

**G. Zamora-López**and M. Gilson.*Chaos***34**, 041501 (2024). - Integration and segregation in the brain as a cognitive flexibility during tasks and rest.

K. Capouskova,**G. Zamora-López**, M. Kringelbach and G. Deco.*Hum. Brain Mapp.***44**, 6349-6363 (2023). - Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness.

R. Panda, A. López-González, M. Gilson, O. Gosseries, A. Thibaut, G. Frasso, B. Cecconi, A. Escrichs, G. Deco, S. Laureys,**G. Zamora-López**and J. Annen.*Hum. Brain Mapp.***44**, 4352-4371 (2023). - Inhibitory neurons control the consolidation of neural assemblies via adaptation to selective stimuli.

R. Bergoin, A. Torcini, G. Deco, M. Quoy and**G. Zamora-López**.*Sci. Reps.***13**:6949 (2023). - The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations

Y. Sanz Perl,**G. Zamora-López**, E. Montbrió, M. Monge-Asensio, J. Vohryzek, S. Fittipaldi, C. González Campo, S. Moguilner, A. Ibañez, E. Tagliazucchi, B.T. Thomas Yeo, M.L. Kringelbach and G. Deco.*Network Neurosci.*(2023). - Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics.

A. López-González, R. Panda, A. Ponce-Alvarez,**G. Zamora-López**, A. Escrichs, C. Martial, A. Thibaut, O. Gosseries, M.L. Kringelbach, J. Annen, S. Laureys and G. Deco.*Commun. Biol.***4**:1037 (2021). - Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals.

G. Hahn,**G. Zamora-López**, L. Uhrig, E. Tagliazucchi, H. Laufs, D. Mantini, M.L. Kringelbach, B. Jarraya and G. Deco.*NeuroImage***226**, 117470 (2020). - Modulation of cortical slow oscillations and complexity across anesthesia levels.

M. Dasilva, A. Camassa, A. Navarro-Guzmán, A. Pazienti, L. Pérez-Méndez,**G. Zamora-López**, M. Mattia, and M.V. Sanchez-Vives.*NeuroImage***224**, 117415 (2020). - Model-based whole-brain effective connectivity to study distributed cognition in health and disease.

M. Gilson,**G. Zamora-López**, V. Pallarés, M.H. Adhikari, M. Senden, A. Tauste Campo, D. Mantini, M. Corbetta, G. Deco and A. Insabato.*Network Neurosci.***4(2)**, 338-373 (2020). - Sizing complex networks.

**G. Zamora-López**and Romain Brasselet.*Comms. Phys.***2**, 144 (2019). - Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability.

M. Gilson, N. Kouvaris, G. Deco, J.-F. Mangin, C. Poupon, S. Lefranc, D. Rivière and**G. Zamora-López**.*NeuroImage***201**, 116007 (2019). - Traces of statistical learning in the brain’s functional connectivity after artificial language exposure.

P. Sengupta, M. Burgaleta,**G. Zamora-López**, A. Basora, A. Sanjuán, G. Deco, N. Sebastián-Galles.*Neurophysiologia***124**, 246-253 (2019). - Framework based on communicability and flow to analyze network dynamics.

M. Gilson, N. Kouvaris, G. Deco and**G. Zamora-López**.*Phys. Rev. E***97**, 052301 (2018). - How structure sculpts function: unveiling the contribution of anatomical connectivity to the brain’s spontaneous correlation structure

R.G. Bettinardi, G. Deco, V.M. Karlaftis, T.J. Van Hartevelt, H.M. Fernandes, Z. Kourtzi, M. Kringelbach and**G. Zamora-López**.*Chaos***27**, 047409 (2017).

This paper is part of the Focus Issue: On the relation of dynamics and structure in brain networks. - Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs.

**G. Zamora-López**, Y. Chen, G. Deco, M.L. Kringelbach and C.S. Zhou.*Sci. Reps.***6**:38424 (2016). - Chimera-like States in Modular Neural Networks.

J. Hizanidis, N.E. Kouvaris,**G. Zamora-López**, A. Díaz-Guilera and C.G. Antanopoulos.*Sci. Reps.***6**:19845 (2016). - Individual node’s contribution to the mesoscale of complex networks.

F. Klimm, J. Borge-Holthoeffer, N. Wessel, J. Kurths and**G. Zamora-López**.*New J. Physics***16**:125006 (2014). - Transcriptomic Profile Reveals Gender-Specific Molecular Mechanisms Driving Multiple Sclerosis Progression.

H. Irizar, M. Muñoz, L. Sepúlveda, M. Sáenz-Cuesta, A. Prada, T. Castillo-Triviño,**G. Zamora-López**, A. López de Munain, J. Olascoaga and D. Otaegui.*PLoS ONE***9(2)**:e90482 (2014). - Order Patterns Networks (ORPAN) – a method to estimate time-evolving functional connectivity from multivariate time series.

S. Schinkel,**G. Zamora-López**, O. Dimingen, W. Sommer and J. Kurths.*Front. Comput. Neurosci.***6**:91 (2012). - Phase synchronization of bursting neurons in clustered small-world networks.

C.A.S. Batista, E.L. Lameu, A.M. Batista, S.R. Lopes, T. Pereira,**G. Zamora-López**, J. Kurths and R. L. Viana.*Phys. Rev. E***86**, 016211 (2012). - Characterising the complexity of brain and mind networks.

**G. Zamora-López**, E. Russo, P.M. Gleiser, C.S. Zhou and J. Kurths.*Phil. Trans. R. Soc. A***369**, 3747 (2011). - Exploring brain function from anatomical connectivity.

**G. Zamora-López**, C.S. Zhou and J. Kurths.*Front. Neurosci.***5**, 83 (2011). - Functional network analysis reveals differences in the semantic priming task.

S. Schinkel,**G. Zamora-López**, O. Dimingen, W. Sommer and J. Kurths.*J. Neurosci. Meth.***197**, 333-339 (2011). - From modular to centralized organization of synchronization in functional areas of the cat cerebral cortex.

J. Gómez-Gardeñes,**G. Zamora-López**, Y. Moreno and A. Arenas.*PLoS ONE***5(8)**, e12313 (2010). - Optimal map of the modular structure of complex networks.

A. Arenas, J. Borge-Holthöfer, S. Gómez and**G. Zamora-López**.*New J. Phys.***12**, 053009 (2010). - Simulation of large-scale cortical networks by use of individual neuron dynamics.

G. Schmidt,**G. Zamora-López**and J. Kurths.*Int. J. Bifurcation and Chaos***20**, 859-867 (2010). PDF - Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks.

**G. Zamora-López**, C.S. Zhou, J. Kurths.*Front. Neuroinform.***4**:1 (2010).

This paper is part of the Focus Issue “*Hierarchy and Dynamics in neural networks*“. - Graph analysis of cortical networks reveals complex anatomical communication substrate.

**G. Zamora-López**, C.S. Zhou and J. Kurths.*CHAOS***19**, 015117 (2009).

This paper is part of the Focus Issue “*Nonlinear dynamics in cognitive and neural systems*“. - The generation of random directed networks with prescribed 1-node and 2-node degree correlations.

**G. Zamora-López**, C.S. Zhou, V. Zlatic and J. Kurths.*J. Phys. A***41**224006 (2008)*.*

This paper is part of the Special Issue “*Complex Networks: from biology to information technology*“. - Complex brain networks: From topological communities to clustered dynamics.

L. Zemanová,**G. Zamora-López**, C.S. Zhou and J. Kurths.*Pramana – J. Phys.***70(6)**, 1087 – 1097 (2008). - Reciprocity of networks with degree correlations and arbitrary degree distribution.

**G. Zamora-López**, V. Zlatic, C.S. Zhou, H. Štefancic and J. Kurths.*Phys.Rev. E***77**, 016106 (2008). - Structure-Function Relationship in Complex Brain Networks Expressed by Hierarchical Synchronization.

C.S. Zhou, L. Zemanová,**G. Zamora-López**, C.C. Hilgetag and J. Kurths,*New J. Phys*.**9**178 (2007).

This paper is part of the Special Issue*Focus on Networked Systems: Theory and Applications.* - Hierarchical organization unveiled by functional connectivity in complex brain networks.

C.S. Zhou, L. Zemanová,**G. Zamora**, C.C. Hilgetag and J. Kurths,*Phys. Rev. Lett*.**97**, 238103 (2006).

### Other publications

###### Book Chapters, Thesis, etc.

- Linking Structure and Function of Complex Cortical Networks.

**G. Zamora-López**. Ph.D. Thesis, University of Potsdam, Germany (2009). - Structural Characterisation of Networks.

**G. Zamora-López**, C.S. Zhou and J. Kurths. In “Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks.” Edited by P. beim Graben, C.S. Zhou, M. Thiel and J. Kurths. Springer, Berlin (2008).

Series: Understanding Complex Systems. ISBN: 978-3-540-73158-0. - Parallel computation of large neuronal networks with structured connectivity.

Several authors. In “Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks.” Edited by P. beim Graben, C.S. Zhou, M. Thiel and J. Kurths. Springer, Berlin (2008).

Series: Understanding Complex Systems. ISBN: 978-3-540-73158-0. - Global Properties of Networks

R. Steuer and**G. Zamora-López**. In “Analysis of Biological Networks.” Edited by B. H. Junker and F. Schreiber, Wiley, Hoboken, New Jersey, USA (2008).

Wiley series on Bioniformatics, Computational Techniques and Engineering. ISBN: 978-0-470-04144-4.

###### Selected conference posters

- GAlib: a library for graph analysis in Python / NumPy.

G. Zamora-López. Presented at the ECCS Conference, September 2013, Barcelona (Spain). - From worms to humans: common principles of large-scale organization in the nervous system.

G. Zamora-López, C.S. Zhou and J. Kurths. Presented at the BCCN Conference, September 2011, Gottingen (Germany). - Recurrent brain states in single-trial EEG during evoked responses.

G. Zamora-López, S. Schinkel and J. Kurths. Presented at the SAN Conference, April 2011, Thessaloniki (Greece). - Significance of Graph measures and Determinism in Random Networks.

G. Zamora-López, V. Zlatic, C.S. Zhou and J. Kurths. Presented at the BCNet workshop, December 2008, Barcelona (Spain). - Structural and Functional Integration in the Cat Cerebral Cortex.

G. Zamora, CS. Zhou, J. Kurths. Presented at DYONET 06, February 2006, Dresden (Germnany). - Cerebral Cortex: A Network Theoretical Approach.

G. Zamora, C.S. Zhou, J. Kurths. Presented at DYBIO 05, 20th June – 15th July 2005, Dresden (Germany).