• Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders

  Mill, Jordi; Agudelo, Victor; Li, Chi Hion; Noailly, Jérôme; Freixa, Xavier; Camara, Oscar; Arzamendi, Dabit (S. Hirzel Verlag (SHV), 2021)

  Introduction and objectives: Left atrial appendage occlusion (LAAO) can be an efficient treatment to prevent strokes in patients who suffer from atrial fibrillation, especially those at risk of bleeding. A non-negligible ...
• The Dynamics of decision-making and action during active sampling

  Ozbagci, Duygu; Moreno-Bote, Rubén; Soto-Faraco, Salvador, 1970- (Nature Research, 2021)

  Embodied Cognition Theories (ECTs) of decision-making propose that the decision process pervades the execution of choice actions and manifests itself in these actions. Decision-making scenarios where actions not only ...
• Sensory-motor cortices shape functional connectivity dynamics in the human brain

  Kong, Xiaolu; Kong, Ru; Orban, Csaba; Wang, Peng; Zhang, Shaoshi; Anderson, Kevin; Holmes, Avram; Murray, John D.; Deco, Gustavo; van den Heuve, Martijn; Yeo, B. T. Thomas (Nature Research, 2021)

  Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and macro-scale properties of brain organization that shape complex patterns of spontaneous brain activity. We developed a spatially ...
• mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity

  Pagani, Marco; Barsotti, Noemi; Bertero, Alice; Trakoshis, Stavros; Ulysse, Laura; Locarno, Andrea; Miseviciute, Ieva; De Felice, Alessia; Canella, Carola; Supekar, Kaustubh; Galbusera, Alberto; Menon, Vinod; Tonini, Raffaella; Deco, Gustavo; Lombardo, Michael V.; Pasqualetti, Massimo; Gozzi, Alessandro (Nature Research, 2021)

  Postmortem studies have revealed increased density of excitatory synapses in the brains of individuals with autism spectrum disorder (ASD), with a putative link to aberrant mTORdependent synaptic pruning. ASD is also ...
• Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics

  López-González, Ane; Panda, Rajanikant; Ponce-Alvarez, Adrián; Zamora-López, Gorka; Escrichs, Anira; Martial, Charlotte; Thibaut, Aurore; Gosseries, Olivia; Kringelbach, Morten L.; Annen, Jitka; Laureys, Steven; Deco, Gustavo (Nature Research, 2021)

  Low-level states of consciousness are characterized by disruptions of brain activity that sustain arousal and awareness. Yet, how structural, dynamical, local and network brain properties interplay in the different levels ...
• Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep

  Rué-Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo; Laufs, Helmut; Kringelbach, Morten L.; Deco, Gustavo; Atasoy, Selen (Nature Research, 2021)

  Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep ...
• Genetic influences on hub connectivity of the human connectome

  Arnatkeviciute, Aurina; Fulcher, Ben D.; Oldham, Stuart; Tiego, Jeggan; Paquola, Casey; Gerring, Zachary; Aquino, Kevin; Hawi, Ziarih; Johnson, Beth; Ball, Gareth; Klein, Marieke; Deco, Gustavo; Franke, Barbara; Bellgrove, Mark A.; Fornito, Alex (Nature Research, 2021)

  Brain network hubs are both highly connected and highly inter-connected, forming a critical communication backbone for coherent neural dynamics. The mechanisms driving this organization are poorly understood. Using ...
• Neural correlates of acoustic dissonance in music: The role of musicianship, schematic and veridical expectations

  Pagès-Portabella, Carlota; Toro Soto, Juan Manuel, 1976-; Toro Soto, Juan Manuel, 1976- (Public Library of Science (PLoS), 2021)

  In western music, harmonic expectations can be fulfilled or broken by unexpected chords. Musical irregularities in the absence of auditory deviance elicit well-studied neural responses (e.g. ERAN, P3, N5). These responses ...
• Perturbations in dynamical models of wholebrain activity dissociate between the level and stability of consciousness

  Sanz Perl, Yonatan; Pallavicini, Carla; Pérez Ipiña, Ignacio; Demertz, Athena; Bonhomme, Vincent; Martial, Charlotte; Panda, Rajanikant; Annen, Jitka; Ibañez, Agustin; Kringelbach, Morten L.; Deco, Gustavo; Laufs, Helmut; Sitt, Jacobo; Laureys, Steven; Tagliazucchi, Enzo (Public Library of Science (PLoS), 2021)

  Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different ...
• Twisted Edwards elliptic curves for zero-knowledge circuits

  Bellés-Muñoz, Marta; Whitehat, Barry; Baylina, Jordi; Daza, Vanesa; Muñoz-Tapia, Jose Luis (MDPI, 2021)

  Circuit-based zero-knowledge proofs have arose as a solution to the implementation of privacy in blockchain applications, and to current scalability problems that blockchains suffer from. The most efficient circuit-based ...
• Time-sensitive networking in IEEE 802.11be: on the way to low-latency WiFi 7

  Adame, Toni; Carrascosa Zamacois, Marc; Bellalta, Boris (MDPI, 2021)

  A short time after the official launch of WiFi 6, IEEE 802.11 working groups along with the WiFi Alliance are already designing its successor in the wireless local area network (WLAN) ecosystem: WiFi 7. With the IEEE ...
• Computational modeling of information propagation during the sleep–waking cycle

  Razi, Farhad; Moreno Bote, Rubén; Sancristóbal, Belén (MDPI, 2021)

  Non-threatening familiar sounds can go unnoticed during sleep despite the fact that they enter our brain by exciting the auditory nerves. Extracellular cortical recordings in the primary auditory cortex of rodents show ...
• Blockchain-based information management for supply chain data-platforms

  Della Valle, Fabio; Oliver Riera, Miquel (MDPI, 2021)

  Performance measurement and information management are vital assets for supply chain management. In this study, we analyzed the effective combination between blockchain technologies and supply chain management processes. ...
• An exterior algebraic derivation of the euler–lagrange equations from the principle of stationary action

  Colombaro, Ivano; Font Segura, Josep; Martínez, Alfonso, 1973- (MDPI, 2021)

  In this paper, we review two related aspects of field theory: the modeling of the fields by means of exterior algebra and calculus, and the derivation of the field dynamics, i.e., the Euler– Lagrange equations, by means ...
• Sensitivity analysis of in silico fluid simulations to predict thrombus formation after left atrial appendage occlusion

  Mill, Jordi; Agudelo, Victor; Olivares Miyares, Andy Luis; Pons Vidal, Maria Isabel; Silva, Etelvino; Nuñez-Garcia, Marta; Morales Ferez, Xabier; Arzamendi, Dabit; Freixa, Xavier; Noailly, Jérôme; Camara, Oscar (MDPI, 2021)

  Atrial fibrillation (AF) is nowadays the most common human arrhythmia and it is considered a marker of an increased risk of embolic stroke. It is known that 99% of AF-related thrombi are generated in the left atrial ...
• A Guidance for blockchain-based digital transition in supply chains

  Della Valle, Fabio; Oliver Riera, Miquel (MDPI, 2021)

  Blockchains play a crucial role in the digitalization of future supply chains (SCs). In this study, we analyzed the major influences that blockchain-based digital business strategies may play in SC operations. We conducted ...
• SafeSmart: a VANET system for faster responses and increased safety in time-critical scenarios

  Kochenborger Duarte, Eduardo; Da Costa, Luis Antonio L.F.; Erneberg, Mikael; Pignaton de Freitas, Edison; Bellalta, Boris; Vinel, Alexey (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  An important use case for Vehicular Ad-hoc Networks (VANETs) is its application in the warning systems of emergency vehicles (EV). VANET-based vehicle-to-infrastructure (V2I) communication can be used to exchange important ...
• Multi-armed bandits for spectrum allocation in multi-agent channel bonding WLANs

  Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  While dynamic channel bonding (DCB) is proven to boost the capacity of wireless local area networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied to the primary and secondary channel ...
• Volume conduction for powering deeply implanted networks of wireless injectable medical devices: a numerical parametric analysis

  Tudela Pi, Marc; Minguillon, Jesus; Becerra Fajardo, Laura; Ivorra Cano, Antoni, 1974- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  The use of networks of wireless active implantable medical devices (AIMDs) could revolutionize the way that numerous severe illnesses are treated. However, the development of sub-mm AIMDs is hindered by the bulkiness and ...
• Projection-based collision detection algorithm for stereoelectroencephalography electrode risk assessment and re-planning

  Higueras-Esteban, Alfredo; Delgado-Martínez, Ignacio; Serrano Pérez, Laura; Infante-Santos, Nazaret; Narváez-Martínez, Alejandra; Principe, Alessandro; Rocamora, Rodrigo; Conesa, Gerardo; Serra, Luis; González Ballester, Miguel Ángel, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Surgical planning is crucial to Stereoelectroencephalography (SEEG), a minimally invasive procedure that requires clinicians to operate with no direct view of the brain. Decisions making involves different clinical ...

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