A pairwise maximum entropy model describes energy landscape for spiral wave dynamics of cardiac fibrillation

Heart is an electrically-connected network. Spiral wave dynamics of cardiac fibrillation shows chaotic and disintegrated patterns while sinus rhythm shows synchronized excitation patterns. To determine functional interactions between cardiomyocytes during complex fibrillation states, we applied a pairwise maximum entropy model (MEM) to the sequential electrical activity maps acquired from the 2D computational simulation of human atrial fibrillation. Then, we constructed energy landscape and estimated hierarchical structure among the different local minima (attractors) to explain the dynamic properties of cardiac fibrillation. Four types of the wave dynamics were considered: sinus rhythm; single stable rotor; single rotor with wavebreak; and multiple wavelet. The MEM could describe all types of wave dynamics (both accuracy and reliability>0.9) except the multiple random wavelet. Both of the sinus rhythm and the single stable rotor showed relatively high pairwise interaction coefficients among the cardiomyocytes. Also, the local energy minima had relatively large basins and high energy barrier, showing stable attractor properties. However, in the single rotor with wavebreak, there were relatively low pairwise interaction coefficients and a similar number of the local minima separated by a relatively low energy barrier compared with the single stable rotor case. The energy landscape of the multiple wavelet consisted of a large number of the local minima separated by a relatively low energy barrier, showing unstable dynamics. These results indicate that the MEM provides information about local and global coherence among the cardiomyocytes beyond the simple structural connectivity. Energy landscape analysis can explain stability and transitional properties of complex dynamics of cardiac fibrillation, which might be determined by the presence of 'driver' such as sinus node or rotor.Comment: Presented at the 62nd Biophysical Society Annual Meeting, San Francisco, California, 201

Time-Evolving Dynamics in Brain Networks Forecast Responses to Health Messaging

Neuroimaging measures have been used to forecast complex behaviors, including how individuals change decisions about their health in response to persuasive communications, but have rarely incorporated metrics of brain network dynamics. How do functional dynamics within and between brain networks relate to the processes of persuasion and behavior change? To address this question, we scanned forty-five adult smokers using functional magnetic resonance imaging while they viewed antismoking images. Participants reported their smoking behavior and intentions to quit smoking before the scan and one month later. We focused on regions within four atlas-defined networks and examined whether they formed consistent network communities during this task (measured as allegiance). Smokers who showed reduced allegiance among regions within the default mode and frontoparietal networks also demonstrated larger increases in their intentions to quit smoking one month later. We further examined dynamics of the VMPFC, as activation in this region has been frequently related to behavior change. The degree to which VMPFC changed its community assignment over time (measured as flexibility) was positively associated with smoking reduction. These data highlight the value in considering brain network dynamics for understanding message effectiveness and social processes more broadly

Identifying the Neurocognitive bases of creativity to increase human and computational creativity

En esta Tesis Doctoral se ha identificado la estructura neurocognitiva que sustenta la creatividad humana a partir del análisis conjunto de más de 800 referencias bibliográficas que muestran las investigaciones más importantes realizadas hasta la fecha. Sobre la base de esta estructura, se ha identificado un paradigma neurocognitivo de la creatividad humana y se ha propuesto un modelo neurocognitivo del proceso creativo. Finalmente, también se ha propuesto un paradigma creativo neurocognitivo computacional y se ha diseñado la estructura de un sistema computacional creativo, basado en una estructura multiagente. La investigación que se ha realizado sobre el tema hasta la fecha es muy especializada y se centra en aspectos muy concretos de la creatividad, y en muchos casos tienen poca relación entre sí. Por ello, y para tener una idea conjunta y holística de los procesos neurocognitivos de la creatividad humana, es necesario estudiar todas estas investigaciones de forma interconectada. Esta idea conjunta permitiría dirigir investigaciones más específicas para ser más efectivos. Por ello, lo primero que se ha hecho ha sido clasificar, agrupar, analizar, entrelazar y estructurar, de forma ordenada, las investigaciones más importantes que se han realizado hasta la fecha. Sin embargo, el trabajo realizado va mucho más allá, ya que estructurando y entrelazando las investigaciones existentes ha sido posible identificar ciertos patrones, correlaciones y paralelismos, y realizar ciertas deducciones, que en su conjunto, han permitido identificar los procesos neurocognitivos fundamentales. bases de la creatividad humana. La Tesis se estructura en los siguientes capítulos: Capitulo 2 Análisis de los principales métodos para estimular la creatividad Se analizan las principales definiciones de creatividad, y se ha decidido que el mejor enfoque para su análisis es estructurarla taxonómicamente, bajo el modelo 4P. Se ha realizado una recopilación y análisis de los métodos más efectivos que estimulan la creatividad humana, mostrando las ventajas y desventajas de cada uno. Capítulo 3 Estructura funcional del cerebro humano y su relación con el proceso creativo Se identifica la estructura neurocognitiva general del cerebro humano que permite generar los procesos fundamentales y básicos de su actividad creativa. Capítulo 4 El papel fundamental de la DMN en el proceso creativo Se ha observado que la red de modo predeterminado (DMN) tiene un papel principal en la creatividad. Por ello, se ha dedicado un capítulo a su estudio, y se han identificado varios factores que la involucran directamente en la actividad creativa del cerebro humano. Capítulo 5 Identificación y análisis de las bases neurocognitivas de la creatividad humana Se ha identificado el conjunto general de factores neurocognitivos que sustentan los procesos creativos en el cerebro humano. Capítulo 6 Paradigma neurocognitivo de la creatividad humana Se ha propuesto un modelo neurocognitivo del proceso creativo que reestructura, completa y detalla todos los modelos conceptuales propuestos hasta el momento. Capítulo 7 Paradigma computacional de la creatividad basado en la estructura neurocognitiva humana Analizando las diferentes bases neurocognitivas que sustentan la creatividad humana, se han establecido paralelismos computacionales y se han realizado diferentes sugerencias para el diseño de un sistema computacional creativo.In this Doctoral Thesis, the neurocognitive structure that supports human creativity has been identified based on the joint analysis of more than 800 bibliographical references that show the most important investigations carried out to date. Based on this structure, a neurocognitive paradigm of human creativity has been described, and a neurocognitive model of creative process has been proposed. Finally, a computational neurocognitive creative paradigm has been also proposed, and the structure of a creative computational multi-agent system has been designed. The research that has been carried out on the subject is very specialized and focuses on very specific aspects of creativity, and in many cases they have little relationship with each other. For this reason, and in order to have a joint and holistic idea of the neurocognitive processes of human creativity, it is necessary to study all these investigations in an interconnected way. This joint idea would allow directing more specific investigations in order to be more effective. For this reason, the first thing that has been done has been to classify, group, analyze, intertwine and structure, in an orderly manner, the most important investigations that have been carried out to date. However, the work carried out goes much further, since by structuring and intertwining the existing research it has been possible to identify certain patterns, correlations and parallelisms, and make certain deductions, which as a whole, have made it possible to identify the fundamental neurocognitive bases of human creativity. Chapter 2 Analysis of the main methods to stimulate creativity The main definitions of creativity are analyzed, and it has been decided that the best approach for its analysis is to structure it taxonomically, under the 4P model. A compilation and analysis of the most effective methods that stimulate human creativity has been carried out, showing the advantages and disadvantages of each one. Chapter 3 Functional structure of the human brain and its relationship with the creative process The general neurocognitive structure of the human brain that allows the generation of the fundamental and basic processes of its creative activity are identified. Chapter 4 The fundamental role of the DMN in the creative process It has been observed that the Default mode network (DMN) has a main role in creativity. For this reason, a chapter has been dedicated to its study, and several factors have been identified that directly involve it in the creative activity of the human brain. Chapter 5 Identification and analysis of the neurocognitive bases of human creativity The general set of neurocognitive factors that underpin creative processes in the human brain has been identified. Chapter 6 Neurocognitive paradigm of human creativity A neurocognitive model of the creative process has been proposed, which restructures, completes and details all the conceptual models proposed so far. Chapter 7 Computational paradigm of creativity based on the human neurocognitive structure Analyzing the different neurocognitive bases that support human creativity, computational parallels have been established and different suggestions have been made for the design of a creative computational system