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Complexity theory emergence brain

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https://www.readbyqxmd.com/read/28734836/criticality-in-the-brain-a-synthesis-of-neurobiology-models-and-cognition
#1
REVIEW
Luca Cocchi, Leonardo L Gollo, Andrew Zalesky, Michael Breakspear
Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory framework focused upon any single scale will yield a comprehensive theory of brain activity and cognitive function. Modelling and analysis methods for neuroscience should aim to accommodate multiscale phenomena. Emerging research now suggests that multi-scale processes in the brain arise from so-called critical phenomena that occur very broadly in the natural world...
July 19, 2017: Progress in Neurobiology
https://www.readbyqxmd.com/read/28687740/organization-and-hierarchy-of-the-human-functional-brain-network-lead-to-a-chain-like-core
#2
Rossana Mastrandrea, Andrea Gabrielli, Fabrizio Piras, Gianfranco Spalletta, Guido Caldarelli, Tommaso Gili
The brain is a paradigmatic example of a complex system: its functionality emerges as a global property of local mesoscopic and microscopic interactions. Complex network theory allows to elicit the functional architecture of the brain in terms of links (correlations) between nodes (grey matter regions) and to extract information out of the noise. Here we present the analysis of functional magnetic resonance imaging data from forty healthy humans at rest for the investigation of the basal scaffold of the functional brain network organization...
July 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28559379/neural-entrainment-to-the-beat-the-missing-pulse-phenomenon
#3
Idan Tal, Edward W Large, Eshed Rabinovitch, Yi Wei, Charles E Schroeder, David Poeppel, Elana Zion Golumbic
Most humans have a near-automatic inclination to tap, clap, or move to the beat of music. The capacity to extract a periodic beat from a complex musical segment is remarkable, as it requires abstraction from the temporal structure of the stimulus. It has been suggested that nonlinear interactions in neural networks result in cortical oscillations at the beat frequency, and that such entrained oscillations give rise to the percept of a beat or a pulse. Here we tested this neural resonance theory using MEG recordings as female and male individuals listened to 30 s sequences of complex syncopated drumbeats designed so that they contain no net energy at the pulse frequency when measured using linear analysis...
June 28, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28491032/topological-filtering-of-dynamic-functional-brain-networks-unfolds-informative-chronnectomics-a-novel-data-driven-thresholding-scheme-based-on-orthogonal-minimal-spanning-trees-omsts
#4
Stavros I Dimitriadis, Christos Salis, Ioannis Tarnanas, David E Linden
The human brain is a large-scale system of functionally connected brain regions. This system can be modeled as a network, or graph, by dividing the brain into a set of regions, or "nodes," and quantifying the strength of the connections between nodes, or "edges," as the temporal correlation in their patterns of activity. Network analysis, a part of graph theory, provides a set of summary statistics that can be used to describe complex brain networks in a meaningful way. The large-scale organization of the brain has features of complex networks that can be quantified using network measures from graph theory...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28445589/a-network-engineering-perspective-on-probing-and-perturbing-cognition-with-neurofeedback
#5
REVIEW
Danielle S Bassett, Ankit N Khambhati
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback...
May 2017: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/28375650/emerging-frontiers-of-neuroengineering-a-network-science-of-brain-connectivity
#6
Danielle S Bassett, Ankit N Khambhati, Scott T Grafton
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales and produce emergent behaviors that are difficult to predict from individual elements. Network science provides a particularly appropriate framework in which to study and intervene in such systems by treating neural elements (cells, volumes) as nodes in a graph and neural interactions (synapses, white matter tracts) as edges in that graph...
June 21, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28351973/model-of-brain-activation-predicts-the-neural-collective-influence-map-of-the-brain
#7
Flaviano Morone, Kevin Roth, Byungjoon Min, H Eugene Stanley, Hernán A Makse
Efficient complex systems have a modular structure, but modularity does not guarantee robustness, because efficiency also requires an ingenious interplay of the interacting modular components. The human brain is the elemental paradigm of an efficient robust modular system interconnected as a network of networks (NoN). Understanding the emergence of robustness in such modular architectures from the interconnections of its parts is a longstanding challenge that has concerned many scientists. Current models of dependencies in NoN inspired by the power grid express interactions among modules with fragile couplings that amplify even small shocks, thus preventing functionality...
April 11, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28343985/functional-connectivity-dynamically-evolves-on-multiple-time-scales-over-a-static-structural-connectome-models-and-mechanisms
#8
REVIEW
Joana Cabral, Morten Kringelbach, Gustavo Deco
Over the last decade, we have observed a revolution in brain structural and functional Connectomics. On one hand, we have an ever-more detailed characterization of the brain's white matter structural connectome. On the other, we have a repertoire of consistent functional networks that form and dissipate over time during rest. Despite the evident spatial similarities between structural and functional connectivity, understanding how different time-evolving functional networks spontaneously emerge from a single structural network requires analyzing the problem from the perspective of complex network dynamics and dynamical system's theory...
March 23, 2017: NeuroImage
https://www.readbyqxmd.com/read/28195556/how-neuroscience-can-inform-the-study-of-individual-differences-in-cognitive-abilities
#9
Dennis J McFarland
Theories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks...
May 24, 2017: Reviews in the Neurosciences
https://www.readbyqxmd.com/read/28195025/the-depth-of-fields-managing-focus-in-the-epistemic-subcultures-of-mind-and-brain-science
#10
David Peterson
The 'psy' sciences emerged from the tangled roots of philosophy, physiology, biology and medicine, and these origins have produced heterogeneous fields. Scientists in these areas work in a complex, overlapping ecology of fields that results in the constant co-presence of dissonant theories, methods and research objects. This raises questions regarding how conceptual clarity is maintained. Using the optical metaphor 'depth of field', I show how researchers in all fields marginalize potential threats to routine scientific work by framing them as either too broad and imprecise or too narrow and technical...
February 2017: Social Studies of Science
https://www.readbyqxmd.com/read/28005160/a-contemporary-framework-of-language-processing-in-the-human-brain-in-the-context-of-preoperative-and-intraoperative-language-mapping
#11
Erik H Middlebrooks, Kaan Yagmurlu, Jerzey P Szaflarski, Maryam Rahman, Baran Bozkurt
INTRODUCTION: The emergence of advanced in vivo neuroimaging methods has redefined the understanding of brain function with a shift from traditional localizationist models to more complex and widely distributed neural networks. In human language processing, the traditional localizationist models of Wernicke and Broca have fallen out of favor for a dual-stream processing system involving complex networks organized over vast areas of the dominant hemisphere. The current review explores the cortical function and white matter connections of human language processing, as well as their relevance to surgical planning...
December 22, 2016: Neuroradiology
https://www.readbyqxmd.com/read/27807408/cortical-neural-computation-by-discrete-results-hypothesis
#12
REVIEW
Carlos Castejon, Angel Nuñez
One of the most challenging problems we face in neuroscience is to understand how the cortex performs computations. There is increasing evidence that the power of the cortical processing is produced by populations of neurons forming dynamic neuronal ensembles. Theoretical proposals and multineuronal experimental studies have revealed that ensembles of neurons can form emergent functional units. However, how these ensembles are implicated in cortical computations is still a mystery. Although cell ensembles have been associated with brain rhythms, the functional interaction remains largely unclear...
2016: Frontiers in Neural Circuits
https://www.readbyqxmd.com/read/27714662/personality-and-uveitis
#13
Ankush Kawali, Ringhoo Theresa Jose, Aishwarya, Mathew Kurian, Kushal Kacha, Padmamalini Mahendradas, Rohit Shetty
BACKGROUND: Psycho-immunology is an emerging branch of science which studies the interaction between the brain and the immune system. The purpose of this study is to identify the types of personality factors in patients with non-infectious uveitis and to find its association with a particular uveitic entity if any. This is a prospective, observational, case-control study of 186 patients with non-infectious uveitis (group A) and controls from general ophthalmology outpatient department (group B)...
December 2016: Journal of Ophthalmic Inflammation and Infection
https://www.readbyqxmd.com/read/27617636/neurocognitive-predictors-of-posttraumatic-stress-disorder-symptoms-in-children-6-months-after-traumatic-brain-injury-a-prospective-study
#14
Xiaoyuan Guo, Shannon L Edmed, Vicki Anderson, Justin Kenardy
OBJECTIVE: Various neurocognitive mechanisms have been proposed to explain the development of Posttraumatic Stress Disorder (PTSD) symptoms. However, the neurocognitive mechanisms underlying comorbid PTSD following Traumatic Brain Injury (TBI) have not been fully investigated, especially among children. This study prospectively examined the influence of theorized neurocognitive deficits at 3 months post pediatric TBI on the development of PTSD symptoms 6 months postinjury. METHOD: One hundred sixty-six children aged between 6 and 14 years were recruited after sustaining a TBI...
January 2017: Neuropsychology
https://www.readbyqxmd.com/read/27547914/-i-ve-never-been-a-yes-person-decision-making-participation-and-self-conceptualization-after-severe-traumatic-brain-injury
#15
Lucy Knox, Jacinta M Douglas, Christine Bigby
PURPOSE: Although adults who sustain a severe traumatic brain injury (TBI) require support to make decisions in their lives, little is known about their experience of this process. The aim of this study was to explore how participation in decision making contributes to self-conceptualization in adults with severe TBI. METHOD: We used constructivist grounded theory methods. Data included 20 in-depth interviews with adults with severe TBI. Through a process of constant comparison, analysis involved open and focused coding until clear categories emerged and data saturation was achieved...
August 22, 2016: Disability and Rehabilitation
https://www.readbyqxmd.com/read/27412020/-the-mind-brain-problem-i-onto-epistemological-foundations
#16
REVIEW
F Goni-Saez, J Tirapu-Ustarroz
INTRODUCTION: Throughout the history of thought, science and philosophy have addressed the problem of mind-brain from different epistemic perspectives. The first covers specific areas of reality and constructs hypotheses with limited scope and multiple inter-scientific connectivity with the aim of validating theoretical models; the second extends its systemic architecture to all that is real (including scientific activity). DEVELOPMENT: The complexity of the mind-brain problem requires the generation of a link connecting the disciplines of philosophy and science; our onto-epistemological presuppositions therefore fall within the framework of a scientifically-oriented philosophy (scientific philosophy)...
August 1, 2016: Revista de Neurologia
https://www.readbyqxmd.com/read/27340949/multiscale-modeling-of-brain-dynamics-from-single-neurons-and-networks-to-mathematical-tools
#17
REVIEW
Constantinos Siettos, Jens Starke
The extreme complexity of the brain naturally requires mathematical modeling approaches on a large variety of scales; the spectrum ranges from single neuron dynamics over the behavior of groups of neurons to neuronal network activity. Thus, the connection between the microscopic scale (single neuron activity) to macroscopic behavior (emergent behavior of the collective dynamics) and vice versa is a key to understand the brain in its complexity. In this work, we attempt a review of a wide range of approaches, ranging from the modeling of single neuron dynamics to machine learning...
September 2016: Wiley Interdisciplinary Reviews. Systems Biology and Medicine
https://www.readbyqxmd.com/read/27271768/interplay-between-graph-topology-and-correlations-of-third-order-in-spiking-neuronal-networks
#18
Stojan Jovanović, Stefan Rotter
The study of processes evolving on networks has recently become a very popular research field, not only because of the rich mathematical theory that underpins it, but also because of its many possible applications, a number of them in the field of biology. Indeed, molecular signaling pathways, gene regulation, predator-prey interactions and the communication between neurons in the brain can be seen as examples of networks with complex dynamics. The properties of such dynamics depend largely on the topology of the underlying network graph...
June 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27199823/intelligence-cognition-and-language-of-green-plants
#19
REVIEW
Anthony Trewavas
A summary definition of some 70 descriptions of intelligence provides a definition for all other organisms including plants that stresses fitness. Barbara McClintock, a plant biologist, posed the notion of the 'thoughtful cell' in her Nobel prize address. The systems structure necessary for a thoughtful cell is revealed by comparison of the interactome and connectome. The plant root cap, a group of some 200 cells that act holistically in responding to numerous signals, likely possesses a similar systems structure agreeing with Darwin's description of acting like the brain of a lower organism...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27189581/activational-and-effort-related-aspects-of-motivation-neural-mechanisms-and-implications-for-psychopathology
#20
REVIEW
John D Salamone, Samantha E Yohn, Laura López-Cruz, Noemí San Miguel, Mercè Correa
Motivation has been defined as the process that allows organisms to regulate their internal and external environment, and control the probability, proximity and availability of stimuli. As such, motivation is a complex process that is critical for survival, which involves multiple behavioural functions mediated by a number of interacting neural circuits. Classical theories of motivation suggest that there are both directional and activational aspects of motivation, and activational aspects (i.e. speed and vigour of both the instigation and persistence of behaviour) are critical for enabling organisms to overcome work-related obstacles or constraints that separate them from significant stimuli...
May 2016: Brain: a Journal of Neurology
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