Anira Escrichs

Scopus Publications

Impact of meningioma and glioma on whole-brain dynamics
Albert Juncà, Anira Escrichs, Ignacio Martín, Gustavo Deco, Gustavo Patow
Scientific Reports, 2026
Brain tumors, particularly meningiomas and gliomas, can profoundly affect neural function, yet their impact on brain dynamics remains incompletely understood. This study investigates alterations in normal brain function among meningioma and glioma patients by assessing dynamical complexity through the Intrinsic Ignition Framework. We analyzed resting-state fMRI data from 34 participants to quantify brain dynamics using intrinsic ignition and metastability metrics. Our results revealed distinct patterns of disruption: glioma patients showed significant reductions in both metrics compared to controls, indicating widespread network disturbances. In contrast, meningioma patients exhibited significant changes predominantly in regions with substantial tumor involvement. Resting-state network analysis demonstrated strong metastability and metastability/ignition correlations between regions in controls, which were slightly weakened in meningioma patients and severely disrupted in glioma patients. These findings highlight the differential impacts of gliomas and meningiomas on brain function, offering insights into their distinct pathophysiological mechanisms. Furthermore, these results show that brain dynamics metrics can be effective biomarkers for identifying disruptions in brain information transmission caused by tumors.
Corrigendum to “Semantic support and sex differences in toddlers’ spoken word recognition” (Journal of Experimental Child Psychology, (2026), 265, C, (106466), (S0022096526000184), 10.1016/j.jecp.2026.106466)
Daniela Avila-Varela, Francesco Cabiddu, Anira Escrichs, Paula Luegi, João Veríssimo, Gary Jones
Journal of Experimental Child Psychology, 2026
Semantic support and sex differences in toddlers’ spoken word recognition
Daniela Avila-Varela, Francesco Cabiddu, Anira Escrichs, Paula Luegi, João Veríssimo, Gary Jones
Journal of Experimental Child Psychology, 2026
• Phonological and semantic cues impact toddlers’ spoken word recognition. • Semantic overlap enhances recognition more than phonological overlap alone. • Girls show stronger and earlier word recognition patterns than boys. • Findings highlight sex differences in real-time lexical processing in toddlers. • Results support theories of lexical competition and semantic facilitation. Research shows that as toddlers’ vocabularies expand, words in the early lexicon become increasingly interconnected through shared phonological and semantic features. Understanding how these dimensions jointly shape lexical organization is central to theories of early spoken word recognition. The present study investigated how the simultaneous presence of phonological and semantic similarity between nouns influences lexical activation during spoken word recognition. We presented 21-month-old English monolinguals with an intermodal preferential looking task adapted to a priming paradigm while their eye movements were recorded with an eye-tracker. Participants heard a spoken noun ( prime ) followed by a related or unrelated spoken noun ( target ). The experiment included three conditions: Phonologically Related, where prime-target pairs share the initial phonemes (e.g., toe-toast ); Phono-Semantically Related, where prime-target pairs share the initial phonemes and belong to the same semantic category (e.g., turkey-turtle ); and Unrelated, where prime-target pairs do not share the initial phonemes and do not belong to the same semantic category (e.g ., bubble-toast and box-turtle ). Results revealed two key findings: (1) Targets in the Phonologically Related condition elicited significantly fewer looks than the Unrelated condition, suggesting phonological interference. (2) Targets in the Phono-Semantically Related condition elicited significantly more looks than both the Unrelated and Phonologically Related conditions, indicating strong facilitation when both cues are present. Additionally, girls demonstrated more pronounced word recognition than boys. This study extends our understanding of the interactive roles of phonological and semantic cues, as well as sex differences, in mental lexical organization among young toddlers.
Multimodal multicentre investigation of diagnostic and prognostic markers in disorders of consciousness
Dragana Manasova, Laouen Mayal Louan Belloli, Martin Justinus Rosenfelder, Lina Willacker, Emilia Fló Rama, Chiara Valota, Bertrand Hermann, Brigitte Charlotte Kaufmann, Alice Pirastru, Chiara Camilla Derchi, Theresa Raiser, Melanie Valente, Aude Sangare, Başak Türker, Nadya Pyatigorskaya, Benoît Béranger, Michele Colombo, Esteban Munoz-Musat, Anira Escrichs, Tiziana Atzori, Francesca Baglio, Constantin Lapa, Ansgar Berlis, Kristina Krüger, Tina Luther, Vincent Perlbarg, Gustavo Deco, Yonathan Sanz-Perl, Enzo Tagliazucchi, Louis Puybasset, Benjamin Rohaut, Lionel Naccache, Angela Comanducci, Anat Arzi, Mario Rosanova, Andreas Bender, Jacobo Diego Sitt
Brain, 2026
Severely brain-injured patients may enter a spectrum of conditions collectively known as disorders of consciousness. This spectrum includes clinical conditions such as unresponsive wakefulness syndrome or minimally conscious state, where the behavioural assessment of consciousness can often be deceptive. To bridge this dissociation, neuroimaging techniques are employed to identify the residual brain functions. Each neuroimaging modality imperfectly captures distinct aspects of brain preservation—functional, anatomical, or both. In this study, we adopt a comprehensive approach by integrating the neurophysiology and neuroimaging modalities available from the standard and advanced clinical assessments through interpretable machine learning. The electrophysiological modalities included high-density EEG (resting state and task), whereas neuroimaging modalities included anatomical and resting-state functional MRI, diffusion MRI and 18F-fluorodeoxyglucose PET. Our investigation reveals that specific modalities, such as functional assessments, provide comprehensive insights into the currently evaluated state of consciousness, the diagnosis of the patients. Conversely, structural modalities offer valuable information about the patient's evolution within the consciousness spectrum. We validate the proposed analysis with data coming from other centres with different acquisition parameters. Importantly, we demonstrate that model performance improves with an increase in the number of modalities. We observe a higher inter-modality disagreement for minimally conscious state patients and those patients who improve. Lastly, we observe a difference in feature importances between diagnosis and prognosis, with an interaction between modality and anatomical structures: some subcortical markers tend to contribute more to prognosis, while other cortical markers are more informative for diagnosis. This integrative multimodal and machine learning methodology presents a promising avenue for a more nuanced understanding of disorders of consciousness, contributing to enhanced diagnostic precision, prognostic capabilities and the personalization of rehabilitative strategies in clinical practice.
Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco
Advanced Science, 2026
Learning environments may shape both children's cognitive outcomes and the maturation of large‐scale neural dynamics. We investigate whether pedagogical context modulates brain activity and cognition in 96 students (4–15 years) enrolled in Montessori (MSC) or traditional (TSC) schools. Montessori emphasizes self‐directed exploration with increasing independence, whereas traditional classrooms shift from play‐based early learning to teacher‐directed instruction. To examine how neural development diverges across educational trajectories, we quantify the temporal asymmetry (“non‐reversibility”) of fMRI signals during resting state and movie‐watching. Behaviorally, MSC students outperform TSC peers in language, mathematics, and both divergent and convergent thinking. Neural patterns diverge with age: during rest, non‐reversibility increases in MSC but decreases in TSC, primarily in sensorimotor, dorsal attention, and frontoparietal networks; during movie‐watching, differences are strongest in younger children, especially in subcortical, visual, and default mode networks. Exploratory analyses reveal higher non‐reversibility in females, with larger sex differences in TSC. These findings suggest that pedagogical context may shape developmental trajectories and variability of neural dynamics. Montessori education may foster more adaptive brain dynamics, support flexible and creative thinking, and reduce gender disparities. Longitudinal research is needed to clarify what non‐reversibility reflects and how educational approaches sculpt brain development.
Corpus Callosum Integrity Predicts Functional Outcomes in Acute Stroke: A Probabilistic Structural Connectivity Study
Elena de la Calle, Carles Biarnés, Marian Martí-Navas, Esther Duarte, Andrea Morgado-Pérez, Mikel Terceño, Yolanda Silva, Santiago Medrano, Jaume Capellades, Salvador Pedraza, Anira Escrichs, Pepus Daunis-i-Estadella, Marc Comas-Cufí, Luca Saba, Kambiz Nael, Víctor Pineda, Josep Puig
Journal of Stroke, 2026
Background and Purpose Stroke impairs cognition and movement. Although clinical severity and infarct volume can predict functional outcomes, variability in patient responses requires advanced structural and functional connectivity methods. Disconnection markers were tested to predict functional outcomes after acute ischemic stroke using diffusion tensor imaging.Methods A probabilistic approach was used to quantify brain damage from white matter (WM) disconnections affecting cortical areas, using lesion masking on a tractography atlas and parcellation of gray matter into functional network nodes. Forty-three patients with acute ischemic stroke were grouped according to functional improvement (change in modified Rankin Scale score from 3–5 at discharge to 0–2 at 3-month follow-up). Significantly different structural disconnection measures between the groups were combined into a principal component and included in a logistic regression model to evaluate prediction accuracy. Fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity, and mean diffusivity of the disconnected WM tracts were analyzed.Results Baseline structural disconnections in the mid-posterior and central corpus callosum predicted poor functional outcomes at 3 months, and increased somatomotor network (SMN) disconnection severity correlated with poor recovery. Age, National Institutes of Health Stroke Scale score, and structural disconnections significantly predicted functional outcomes in logistic regression models. The first principal component analysis of the dysconnectivity measures explained 88% of the total variance and improved prediction accuracy from 53.8% to 76.9%. Differences in FA and RD in the region of interest of the corpus callosum between outcome groups were statistically significant.Conclusions Predictive outcome markers from probabilistic structural disconnection mapping in acute stroke emphasize preserving interhemispheric corpus callosum and SMN connections.
Reconfiguration of functional brain hierarchy in schizophrenia
Irene Acero-Pousa, Anira Escrichs, Paulina Clara Dagnino, Yonatan Sanz Perl, Morten L. Kringelbach, Peter J. Uhlhass, Gustavo Deco
Translational Psychiatry, 2025
The multidimensional nature of schizophrenia requires a comprehensive exploration of the functional and structural brain networks. While prior research has provided valuable insights into these aspects, our study goes a step further to investigate the reconfiguration of the hierarchy of brain dynamics, which can help understand how brain regions interact and coordinate in schizophrenia. We applied an innovative thermodynamic framework, which allows for a quantification of the degree of functional hierarchical organisation by analysing resting state fMRI-data. Our findings reveal increased hierarchical organisation at the whole-brain level and within specific resting-state networks in individuals with schizophrenia, which correlated with negative symptoms, positive formal thought disorder and apathy. Moreover, using a machine learning approach, we showed that hierarchy measures allow a robust diagnostic separation between healthy controls and schizophrenia patients. Thus, our findings provide new insights into the nature of functional connectivity anomalies in schizophrenia, suggesting that they could be caused by the breakdown of the functional orchestration of brain dynamics.
Correction to: Reconfiguration of functional brain hierarchy in schizophrenia (Translational Psychiatry, (2025), 15, 1, (356), 10.1038/s41398-025-03584-0)
Irene Acero-Pousa, Anira Escrichs, Paulina Clara Dagnino, Yonatan Sanz Perl, Morten L. Kringelbach, Peter J. Uhlhaas, Gustavo Deco
Translational Psychiatry, 2025
In this article the author’s name Peter J. Uhlhaas was incorrectly written as Peter J. Uhlhass. The original article has been corrected.
Personalized models of disorders of consciousness reveal complementary roles of connectivity and local parameters in diagnosis and prognosis
Lou Zonca, Anira Escrichs, Gustavo Patow, Dragana Manasova, Yonathan Sanz-Perl, Jitka Annen, Olivia Gosseries, Steven Laureys, Jacobo Diego Sitt, Gustavo Deco
Plos One, 2025
The study of disorders of consciousness (DoC) is very complex because patients suffer from a wide variety of lesions, affected brain mechanisms, different severity of symptoms, and are unable to communicate. Combining neuroimaging data and mathematical modeling can help us quantify and better describe some of these alterations. The goal of this study is to provide a new analysis and modeling pipeline for fMRI data leading to new diagnosis and prognosis biomarkers at the individual patient level. To do so, we project patients’ fMRI data into a low-dimension latent-space. We define the latent space’s dimension as the smallest dimension able to maintain the complexity, non-linearities, and information carried by the data, according to different criteria that we detail in the first part. This dimensionality reduction procedure then allows us to build biologically inspired latent whole-brain models that can be calibrated at the single-patient level. In particular, we propose a new model inspired by the regulation of neuronal activity by astrocytes in the brain. This modeling procedure leads to two types of model-based biomarkers (MBBs) that provide novel insight at different levels: (1) the connectivity matrices bring us information about the severity of the patient’s diagnosis, and, (2) the local node parameters correlate to the patient’s etiology, age and prognosis. Altogether, this study offers a new data processing framework for resting-state fMRI which provides crucial information regarding DoC patients diagnosis and prognosis. Finally, this analysis pipeline could be applied to other neurological conditions.
Nonequilibrium brain dynamics elicited as the origin of perturbative complexity
Wiep Stikvoort, Eider Pérez-Ordoyo, Iván Mindlin, Anira Escrichs, Jacobo D. Sitt, Morten L. Kringelbach, Gustavo Deco, Yonatan Sanz Perl
Plos Computational Biology, 2025
Assessing someone’s level of consciousness is a complex matter, and attempts have been made to aid clinicians in these assessments through metrics based on neuroimaging data. Many studies have empirically investigated measures related to the complexity elicited after the brain is stimulated to quantify the level of consciousness across different states. Here we hypothesized that the level of non-equilibrium dynamics of the unperturbed brain already contains the information needed to know how the system will react to an external stimulus. We created personalized whole-brain models fitted to resting state fMRI data recorded in participants in altered states of consciousness (e.g., deep sleep, disorders of consciousness) to infer the effective connections underlying their brain dynamics. We then measured the out-of-equilibrium nature of the unperturbed brain by evaluating the level of asymmetry of the inferred connectivity, the time irreversibility in each model and compared this with the elicited complexity generated after in silico perturbations, using a simulated fMRI-based version of the Perturbational Complexity Index, a measure that has been shown to distinguish different levels of consciousness in in vivo settings. Crucially, we found that states of consciousness involving lower arousal and/or lower awareness had a lower level of asymmetry in their effective connectivities, a lower level of irreversibility in their simulated dynamics, and a lower complexity compared to control subjects. We show that the asymmetry in the underlying connections drives the nonequilibrium state of the system and in turn the differences in complexity as a response to the external stimuli.
ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices
Saampras Ganesan, Fernando A. Barrios, Ishaan Batta, Clemens C.C. Bauer, Todd S. Braver, Judson A. Brewer, Kirk Warren Brown, Rael Cahn, Joshua A. Cain, Vince D. Calhoun, Lei Cao, Gaël Chetelat, Christopher R.K. Ching, J. David Creswell, Paulina Clara Dagnino, Svend Davanger, Richard J. Davidson, Gustavo Deco, Janine M. Dutcher, Anira Escrichs, Lisa T. Eyler, Negar Fani, Norman A.S. Farb, Suruchi Fialoke, David M. Fresco, Rahul Garg, Eric L. Garland, Philippe Goldin, Danella M. Hafeman, Neda Jahanshad, Yoona Kang, Sahib S. Khalsa, Namik Kirlic, Sara W. Lazar, Antoine Lutz, Timothy J. McDermott, Giuseppe Pagnoni, Camille Piguet, Ruchika S. Prakash, Hadley Rahrig, Nicco Reggente, Luigi F. Saccaro, Matthew D. Sacchet, Greg J. Siegle, Yi-Yuan Tang, Sophia I. Thomopoulos, Paul M. Thompson, Alyssa Torske, Isaac N. Treves, Vaibhav Tripathi, Aki Tsuchiyagaito, Matthew D. Turner, David R. Vago, Sofie Valk, Fadel Zeidan, Andrew Zalesky, Jessica A. Turner, Anthony P. King
Biological Psychiatry Cognitive Neuroscience and Neuroimaging, 2025
Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder
Anira Escrichs, Yonatan Sanz Perl, Patrick M. Fisher, Noelia Martínez-Molina, Elvira G-Guzman, Vibe G. Frokjaer, Morten L. Kringelbach, Gitte M. Knudsen, Gustavo Deco
Molecular Psychiatry, 2025
Turbulence as a framework for brain dynamics in health and disease
Gustavo Deco, Yonatan Sanz Perl, Katarina Jerotic, Anira Escrichs, Morten L. Kringelbach
Neuroscience and Biobehavioral Reviews, 2025
Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
I. Mindlin, R. Herzog, L. Belloli, D. Manasova, M. Monge-Asensio, J. Vohryzek, A. Escrichs, N. Alnagger, P. Núñez, O. Gosseries, M. L. Kringelbach, G. Deco, E. Tagliazucchi, L. Naccache, B. Rohaut, J. D. Sitt, Y. Sanz Perl
Communications Biology, 2024
Microviridae bacteriophages influence behavioural hallmarks of food addiction via tryptophan and tyrosine signalling pathways
Anna Castells-Nobau, Irene Puig, Anna Motger-Albertí, Lisset de la Vega-Correa, Marisel Rosell-Díaz, María Arnoriaga-Rodríguez, Anira Escrichs, Josep Garre-Olmo, Josep Puig, Rafael Ramos, Lluís Ramió-Torrentà, Vicente Pérez-Brocal, Andrés Moya, Reinald Pamplona, Mariona Jové, Joaquim Sol, Elena Martin-Garcia, Manuel Martinez-Garcia, Gustavo Deco, Rafael Maldonado, José Manuel Fernández-Real, Jordi Mayneris-Perxachs
Nature Metabolism, 2024
Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework
Antonio Donaire, Nelly Padilla, Anira Escrichs, Mariam Khawja, Xavier Setoain, Jordi Rumia, Pedro Roldan, Nuria Bargallo, Teresa Boget, Luis Pintor, María Centeno, Estefanía Conde, Oriol Vernet, Javier Buendía, Isabel Manzanares, Ulrika Ådén, Mar Carreño, Morten Kringelbach, Gustavo Deco
Cerebral Cortex, 2024
Inducing a meditative state by artificial perturbations: A mechanistic understanding of brain dynamics underlying meditation
Paulina Clara Dagnino, Javier A. Galadí, Estela Càmara, Gustavo Deco, Anira Escrichs
Network Neuroscience, 2024
Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
Paulina Clara Dagnino, Anira Escrichs, Ane López-González, Olivia Gosseries, Jitka Annen, Yonatan Sanz Perl, Morten L. Kringelbach, Steven Laureys, Gustavo Deco
Plos Computational Biology, 2024
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury
Noelia Martínez-Molina, Yonatan Sanz-Perl, Anira Escrichs, Morten L. Kringelbach, Gustavo Deco
Frontiers in Neuroinformatics, 2024
The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
Noelia Martínez-Molina, Anira Escrichs, Yonatan Sanz-Perl, Aleksi J. Sihvonen, Teppo Särkämö, Morten L. Kringelbach, Gustavo Deco
Network Neuroscience, 2024
Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness
Rajanikant Panda, Ane López‐González, Matthieu Gilson, Olivia Gosseries, Aurore Thibaut, Gianluca Frasso, Benedetta Cecconi, Anira Escrichs, Gustavo Deco, Steven Laureys, Gorka Zamora‐López, Jitka Annen, and
Human Brain Mapping, 2023
Disrupted resting-sate brain network dynamics in children born extremely preterm
Nelly Padilla, Anira Escrichs, Elvira del Agua, Morten Kringelbach, Antonio Donaire, Gustavo Deco, Ulrika Åden
Cerebral Cortex, 2023
The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states
Elvira G-Guzmán, Yonatan Sanz Perl, Jakub Vohryzek, Anira Escrichs, Dragana Manasova, Başak Türker, Enzo Tagliazucchi, Morten Kringelbach, Jacobo D. Sitt, Gustavo Deco
Interface Focus, 2023
The effect of external stimulation on functional networks in the aging healthy human brain
Anira Escrichs, Yonatan Sanz Perl, Noelia Martínez-Molina, Carles Biarnes, Josep Garre-Olmo, José Manuel Fernández-Real, Rafel Ramos, Ruth Martí, Reinald Pamplona, Ramon Brugada, Joaquin Serena, Lluís Ramió-Torrentà, Gabriel Coll-De-Tuero, Luís Gallart, Jordi Barretina, Joan C Vilanova, Jordi Mayneris-Perxachs, Luca Saba, Salvador Pedraza, Morten L Kringelbach, Josep Puig, Gustavo Deco
Cerebral Cortex, 2023
Unifying turbulent dynamics framework distinguishes different brain states
Anira Escrichs, Yonatan Sanz Perl, Carme Uribe, Estela Camara, Basak Türker, Nadya Pyatigorskaya, Ane López-González, Carla Pallavicini, Rajanikant Panda, Jitka Annen, Olivia Gosseries, Steven Laureys, Lionel Naccache, Jacobo D. Sitt, Helmut Laufs, Enzo Tagliazucchi, Morten L. Kringelbach, Gustavo Deco
Communications Biology, 2022
Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics
Yonatan Sanz Perl, Anira Escrichs, Enzo Tagliazucchi, Morten L. Kringelbach, Gustavo Deco
Plos Computational Biology, 2022
Effects of classic psychedelic drugs on turbulent signatures in brain dynamics
Josephine Cruzat, Yonatan Sanz Perl, Anira Escrichs, Jakub Vohryzek, Christopher Timmermann, Leor Roseman, Andrea I. Luppi, Agustin Ibañez, David Nutt, Robin Carhart-Harris, Enzo Tagliazucchi, Gustavo Deco, Morten L. Kringelbach
Network Neuroscience, 2022
Whole-brain dynamics differentiate among cisgender and transgender individuals
Carme Uribe, Anira Escrichs, Eleonora de Filippi, Yonatan Sanz‐Perl, Carme Junque, Esther Gomez‐Gil, Morten L. Kringelbach, Antonio Guillamon, Gustavo Deco
Human Brain Mapping, 2022
What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics
Fernando Soler-Toscano, Javier A. Galadí, Anira Escrichs, Yonatan Sanz Perl, Ane López-González, Jacobo D. Sitt, Jitka Annen, Olivia Gosseries, Aurore Thibaut, Rajanikant Panda, Francisco J. Esteban, Steven Laureys, Morten L. Kringelbach, José A. Langa, Gustavo Deco
Plos Computational Biology, 2022
Disruption in structural–functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness
Rajanikant Panda, Aurore Thibaut, Ane Lopez-Gonzalez, Anira Escrichs, Mohamed Ali Bahri, Arjan Hillebrand, Gustavo Deco, Steven Laureys, Olivia Gosseries, Jitka Annen, Prejaas Tewarie
Elife, 2022
Meditation-induced effects on whole-brain structural and effective connectivity
Eleonora De Filippi, Anira Escrichs, Estela Càmara, César Garrido, Theo Marins, Marti Sánchez-Fibla, Matthieu Gilson, Gustavo Deco
Brain Structure and Function, 2022
Microbiota alterations in proline metabolism impact depression
Jordi Mayneris-Perxachs, Anna Castells-Nobau, María Arnoriaga-Rodríguez, Miquel Martin, Lisset de la Vega-Correa, Cristina Zapata, Aurelijus Burokas, Gerard Blasco, Clàudia Coll, Anira Escrichs, Carles Biarnés, José María Moreno-Navarrete, Josep Puig, Josep Garre-Olmo, Rafel Ramos, Salvador Pedraza, Ramón Brugada, Joan Carles Vilanova, Joaquín Serena, Jordi Gich, Lluís Ramió-Torrentà, Vicente Pérez-Brocal, Andrés Moya, Reinald Pamplona, Joaquim Sol, Mariona Jové, Wifredo Ricart, Manuel Portero-Otin, Gustavo Deco, Rafael Maldonado, José Manuel Fernández-Real
Cell Metabolism, 2022
Erratum: Whole-brain dynamics in aging: disruptions in functional connectivity and the role of the rich club (Cerebral Cortex (2021) 31 (2466-2481) DOI: 10.1093/cercor/bhaa367)
Anira Escrichs, Carles Biarnes, Josep Garre-Olmo, José Manuel Fernández-Real, Rafel Ramos, Reinald Pamplona, Ramon Brugada, Joaquin Serena, Lluís Ramió-Torrentà, Gabriel Coll-De-Tuero, Luís Gallart, Jordi Barretina, Joan C Vilanova, Jordi Mayneris-Perxachs, Marco Essig, Chase R Figley, Salvador Pedraza, Josep Puig, Gustavo Deco
Cerebral Cortex, 2022
The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics
Eleonora De Filippi, Carme Uribe, Daniela S. Avila-Varela, Noelia Martínez-Molina, Venera Gashaj, Laura Pritschet, Tyler Santander, Emily G. Jacobs, Morten L. Kringelbach, Yonatan Sanz Perl, Gustavo Deco, Anira Escrichs
Frontiers in Neuroscience, 2021
Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
Ane López-González, Rajanikant Panda, Adrián Ponce-Alvarez, Gorka Zamora-López, Anira Escrichs, Charlotte Martial, Aurore Thibaut, Olivia Gosseries, Morten L. Kringelbach, Jitka Annen, Steven Laureys, Gustavo Deco
Communications Biology, 2021
Whole-Brain Dynamics in Aging: Disruptions in Functional Connectivity and the Role of the Rich Club
Anira Escrichs, Carles Biarnes, Josep Garre-Olmo, José Manuel Fernández-Real, Rafel Ramos, Reinald Pamplona, Ramon Brugada, Joaquin Serena, Lluís Ramió-Torrentà, Gabriel Coll-De-Tuero, Luís Gallart, Jordi Barretina, Joan C Vilanova, Jordi Mayneris-Perxachs, Marco Essig, Chase R Figley, Salvador Pedraza, Josep Puig, Gustavo Deco
Cerebral Cortex, 2021
The Aging Imageomics Study: rationale, design and baseline characteristics of the study population
Josep Puig, Carles Biarnes, Salvador Pedraza, Joan C. Vilanova, Reinald Pamplona, José Manuel Fernández-Real, Ramon Brugada, Rafel Ramos, Gabriel Coll-de-Tuero, Laia Calvo-Perxas, Joaquin Serena, Lluís Ramió-Torrentà, Jordi Gich, Lluis Gallart, Manel Portero-Otin, Angel Alberich-Bayarri, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Jordi Mayneris-Perxachs, Victor Pineda, Raquel Font, Anna Prats-Puig, Mariano-Luis Gacto, Gustavo Deco, Anira Escrichs, Bonaventura Clotet, Roger Paredes, Eugenia Negredo, Bruno Triaire, Manuel Rodríguez, Alberto Heredia-Escámez, Rafael Coronado, Wolter de Graaf, Valentin Prevost, Anca Mitulescu, Pepus Daunis-i-Estadella, Santiago Thió-Henestrosa, Felip Miralles, Vicent Ribas-Ripoll, Manel Puig-Domingo, Marco Essig, Chase R. Figley, Teresa D. Figley, Benedict Albensi, Ahmed Ashraf, Johan H.C. Reiber, Giovanni Schifitto, Uddin Md Nasir, Carlos Leiva-Salinas, Max Wintermark, Kambiz Nael, Joan Vilalta-Franch, Jordi Barretina, Josep Garre-Olmo
Mechanisms of Ageing and Development, 2020
Characterizing the dynamical complexity underlying meditation
Anira Escrichs, Ana Sanjuán, Selen Atasoy, Ane López-González, César Garrido, Estela Càmara, Gustavo Deco
Frontiers in Systems Neuroscience, 2019
An active cognitive lifestyle as a potential neuroprotective factor in Huntington's disease
Clara Garcia-Gorro, Maria Garau-Rolandi, Anira Escrichs, Nadia Rodriguez-Dechicha, Irene Vaquer, Susana Subira, Matilde Calopa, Saul Martinez-Horta, Jesus Perez-Perez, Jaime Kulisevsky, Esteban Muñoz, Pilar Santacruz, Jesus Ruiz-Idiago, Celia Mareca, Ruth de Diego-Balaguer, Estela Camara
Neuropsychologia, 2019
Impact of Bilingualism on Infants’ Ability to Learn From Talking and Nontalking Faces
Mathilde Fort, Alba Ayneto-Gimeno, Anira Escrichs, Nuria Sebastian-Galles
Language Learning, 2018
You can raise your eyebrows, I don’t mind: are monolingual and bilingual infants equally good at learning from the eyes region of a talking face?
Auditory Visual Speech Processing 2015 Avsp 2015 Held in Conjunction with Facial Analysis and Animation Faa 2015 1st Joint Conference on Facial Analysis Animation and Auditory Visual Speech Processing Faavsp 2015, 2015

Anira Escrichs

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