Antonio Di Ieva – författare

This detailed volume explores practical and reproducible computational techniques and pipelines that span the translational neurosciences continuum. The first section of the book focuses on experimental platforms that generate high-dimensional biological data and the computational methodologies required to transform raw signals into mechanistic insights, while the second half transitions from bench to bedside, illustrating how computational methodologies reshape diagnosis, prognosis, and mechanistic inference across the whole pathophysiological spectrum of the nervous system, from normal brain function to neurological diseases. Written for the highly successful Methods in Molecular Biology series, each chapter provides step-by-step workflows, code snippets, tool recommendations, and the practical guidance needed for positive results.Authoritative and up-to-date, Computational Neuroscience serves as both a reference and a catalyst: a reference for reproducible pipelines across diverse subfields, and a catalyst for interdisciplinary collaboration.

Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages.

Handbook of Skull Base Surgery is a state-of-the-art surgical guide that provides clinicians and surgeons with step-by-step instructions on how to perform microscopic and endoscopic procedures. Encompassing the entire skull base, this handbook is designed for busy residents and clinicians seeking to hone their surgical skills. It presents a multidisciplinary approach to the pathologies, diagnosis, and management of skull base lesions.Key Features: Bulleted format with step-by-step descriptions of procedures accompanied by high-quality illustrations of key pointsSuccinct summaries of content enable readers to quickly obtain the information they needIncludes coverage of relevant basic sciences, advanced imaging, and adjunctive treatments such as radiosurgery and chemotherapyComprehensive yet conveniently compact, this book is a must-have reference for residents, clinicians, nurses and researchers caring for patients with skull base pathologies.

The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.

The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. It brings an understanding of fractals to clinicians and researchers even if they do not have a mathematical background, and it serves as a valuable tool for teaching the translational applications of computational fractal-based models to both students and scholars. As a consequence of the novel research developed at Professor Di Ieva's laboratory and other centers around the world, the second edition will explore the use of computational fractal-based analysis in many clinical disciplines and different fields of research, including neurology and neurosurgery, neuroanatomy and psychology, magnetoencephalography (MEG), eye-tracking devices (for the fractal computational characterization of “scanpaths”),deep learning in image analysis, radiomics for the characterization of brain MRIs, characterization of neuropsychological and psychiatric diseases and traits, signal complexity analysis in time series, and functional MRI, amongst others.

This comprehensive and authoritative reference presents the state-of-the-art computational methods applied to the field of neurosurgery. The book brings together leading neuroscientists, neurosurgeons, mathematicians, computer scientists, engineers, ethicists and lawyers, to open the new frontier of computational neurosurgery to a broad audience interested in the translational field of the application of computational models, such as deep learning, to the study of the brain and the practical applications of neurosurgery. The focus is primarily clinical, and there is a solid foundation of research aspects. With forewords by Michael L.J. Apuzzo and Enrico Coiera, the book is organized into 2 sections: (1) tenets of computational modeling, artificial intelligence, computational analysis, and analysis software; (2) computational neurosurgery applications, including neurodiagnostics, neuro-oncology, vascular neurosurgery, all the neurosurgical disciplines, surgical approaches, intraoperative applications, and ethics and legal aspects.