Fabio Babiloni's Books

Estimation of Cortical Connectivity in Humans

Advanced Signal Processing Techniques

By: Laura Astolfi,Fabio Babiloni

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Estimation of Cortical Connectivity in Humans

Advanced Signal Processing Techniques

By: Laura Astolfi,Fabio Babiloni

In the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behavior of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals. Table of Contents: Introduction / Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling / Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods / Estimation of Cortical Activity by the use of Realistic Head Modeling / Application: Estimation of Connectivity from Movement-Related Potentials / Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test) / Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient / The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators / Time-Varying Connectivity from Event-Related Potentials

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Springer Nature

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ISBN 10

303101622X

ISBN 13

9783031016226

Industrial Neuroscience in Aviation

Evaluation of Mental States in Aviation Personnel

By: Gianluca Borghini,Pietro Aricò,Gianluca Di Flumeri,Fabio Babiloni

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Industrial Neuroscience in Aviation

Evaluation of Mental States in Aviation Personnel

By: Gianluca Borghini,Pietro Aricò,Gianluca Di Flumeri,Fabio Babiloni

This book discusses the emerging field of industrial neuroscience, and reports on the authors’ cutting-edge findings in the evaluation of mental states, including mental workload, cognitive control and training of personnel involved either in the piloting of aircraft and helicopters, or in managing air traffic. It encompasses neuroimaging and cognitive psychology techniques and shows how they have been successfully applied in the evaluation of human performance and human-machine interactions, and to guarantee a proper level of safety in such operational contexts. With an introduction to the most relevant concepts of neuroscience, neurophysiological techniques, simulators and case studies in aviation environments, it is a must-have for both students and scientists in the field of aeronautic and biomedical engineering, as well as for various professionals in the aviation world. This is the first book to intensively apply neurosciences to the evaluation of human factors and mental states in aviation.

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Page Count

155

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Springer

Published Date

ISBN 10

3319585983

ISBN 13

9783319585987

Neuroelectrical Brain Imaging Tools for the Study of the Efficacy of TV Advertising Stimuli and their Application to Neuromarketing

By: Giovanni Vecchiato,Patrizia Cherubino,Arianna Trettel,Fabio Babiloni

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Neuroelectrical Brain Imaging Tools for the Study of the Efficacy of TV Advertising Stimuli and their Application to Neuromarketing

By: Giovanni Vecchiato,Patrizia Cherubino,Arianna Trettel,Fabio Babiloni

In this book the authors describe their original research on the potential of both standard and high-resolution electroencephalography (EEG) for analyzing brain activity in response to TV advertising. When engineering techniques, neuroscience concepts and marketing stimuli converge in one research field, known as neuromarketing, various theoretical and practical aspects need to be considered. The book introduces and discusses those aspects in detail, while showing several experiments performed by the authors during their attempts to measure both the cognitive activity and emotional involvement of the test subjects. In these experiments, the authors apply simultaneous EEG, galvanic skin response and heart rate monitoring, and show how significant variations of these variables can be associated with attention to, memorization or enjoyment of the presented stimuli. In particular, this book shows the central role of statistical analysis in recovering significant information on the scalp and cortical areas involved, along with variations of activity in the autonomous nervous system. From an economic and marketing perspective, the aim of this work is to promote a better understanding of how mass consumer advertising of (established) brands affects brain systems. From a neuroscience perspective, the broader goal is to provide a better understanding of both the neural mechanisms underlying the impact of affect and cognition on memory, and the neural correlates of choice and decision-making. => Please download the extra material for this book http://extras.springer.com

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150

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Springer Science & Business Media

Published Date

ISBN 10

3642380646

ISBN 13

9783642380648

The Graph Theoretical Approach in Brain Functional Networks

Theory and Applications

By: Fabrizio Fallani,Fabio Babiloni

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The Graph Theoretical Approach in Brain Functional Networks

Theory and Applications

By: Fabrizio Fallani,Fabio Babiloni

The present book illustrates the theoretical aspects of several methodologies related to the possibility of i) enhancing the poor spatial information of the electroencephalographic (EEG) activity on the scalp and giving a measure of the electrical activity on the cortical surface. ii) estimating the directional influences between any given pair of channels in a multivariate dataset. iii) modeling the brain networks as graphs. The possible applications are discussed in three different experimental designs regarding i) the study of pathological conditions during a motor task, ii) the study of memory processes during a cognitive task iii) the study of the instantaneous dynamics throughout the evolution of a motor task in physiological conditions. The main outcome from all those studies indicates clearly that the performance of cognitive and motor tasks as well as the presence of neural diseases can affect the brain network topology. This evidence gives the power of reflecting cerebral "states" or "traits" to the mathematical indexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization - i.e. the dynamic binding of neural assemblies - as also suggested by a wide range of previous electrophysiological studies. Moreover, the fact that these patterns occur at multiple frequencies support the evidence that brain functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an effective means to evaluate the functional connectivity patterns obtained from scalp EEG signals. The possibility to describe the complex brain networks sub-serving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions. Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High-Resolution EEG / Cortical Networks in Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions

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Springer Nature

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ISBN 10

3031016440

ISBN 13

9783031016448

Analysis of Oriented Texture

With application to the Detection of Architectural Distortion in Mammograms

By: Fabio Ayres,Rangaraj Rangayyan,J.E. Leo Desautels

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Analysis of Oriented Texture

With application to the Detection of Architectural Distortion in Mammograms

By: Fabio Ayres,Rangaraj Rangayyan,J.E. Leo Desautels

The presence of oriented features in images often conveys important information about the scene or the objects contained; the analysis of oriented patterns is an important task in the general framework of image understanding. As in many other applications of computer vision, the general framework for the understanding of oriented features in images can be divided into low- and high-level analysis. In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the entire region of analysis in the image is called the orientation field. High-level analysis relates to the discovery of patterns in the orientation field, usually by associating the structure perceived in the orientation field with a geometrical model. This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields. In order to illustrate the concepts developed throughout the book, an application is presented of the phase portrait method to computer-aided detection of architectural distortion in mammograms. Table of Contents: Detection of Oriented Features in Images / Analysis of Oriented Patterns Using Phase Portraits / Optimization Techniques / Detection of Sites of Architectural Distortion in Mammograms

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