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Author : Baojuan Li,Hongbing Lu,Yu-Feng Zang,Hui Shen,Qiuyun Fan
Publisher : Frontiers Media SA
Page : 288 pages
File Size : 51,8 Mb
Release : 2022-12-29
Category : Science
ISBN : 9782889760961
Author : Guorong Wu,Islem Rekik,Markus D. Schirmer,Ai Wern Chung,Brent Munsell
Publisher : Springer
Page : 147 pages
File Size : 51,7 Mb
Release : 2018-09-14
Category : Computers
ISBN : 9783030007553
This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications.
Author : Ahmed Moustafa
Publisher : Academic Press
Page : 386 pages
File Size : 40,8 Mb
Release : 2021-06-11
Category : Medical
ISBN : 9780128230022
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
Author : Bernhard Baune
Publisher : Academic Press
Page : 604 pages
File Size : 40,8 Mb
Release : 2019-10-16
Category : Medical
ISBN : 9780128131770
Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective
Author : Sudhakar Selvaraj,Paolo Brambilla,Jair C. Soares
Publisher : Cambridge University Press
Page : 295 pages
File Size : 48,6 Mb
Release : 2021-01-07
Category : Medical
ISBN : 9781108427128
Offering up-to-date information on brain imaging in mood disorders, this book is an invaluable resource for mental health professionals.
Author : Raut, Roshani,Mihovska, Albena Dimitrova
Publisher : IGI Global
Page : 304 pages
File Size : 43,5 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799875178
Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.
Author : Judith Pratt,Jeremy Hall
Publisher : Springer
Page : 437 pages
File Size : 50,8 Mb
Release : 2019-01-05
Category : Medical
ISBN : 9783319996424
This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.
Author : Marek Kubicki,Martha E. Shenton
Publisher : Springer Nature
Page : 432 pages
File Size : 40,5 Mb
Release : 2020-02-18
Category : Medical
ISBN : 9783030352066
This comprehensive book explains the importance of imaging techniques in exploring and understanding the role of brain abnormalities in schizophrenia. The findings obtained using individual imaging modalities and their biological interpretation are reviewed in detail, and updates are provided on methodology, testable hypotheses, limitations, and new directions for research. The coverage also includes important recent applications of neuroimaging to schizophrenia, for example in relation to non-pharmacological interventions, brain development, genetics, and prediction of treatment response and outcome. Written by world renowned experts in the field, the book will be invaluable to all who wish to learn about the newest and most important developments in neuroimaging research in schizophrenia, how these developments relate to the last 30 years of research, and how they can be leveraged to bring us closer to a cure for this devastating disorder. Neuroimaging in Schizophrenia will assist clinicians in navigating what is an extremely complex field and will be a source of insight and stimulation for researchers.
Author : Bradley Efron,Trevor Hastie
Publisher : Cambridge University Press
Page : 496 pages
File Size : 45,5 Mb
Release : 2016-07-21
Category : Business & Economics
ISBN : 9781107149892
Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.
Author : Francois Boller,F. Forette,Z.S. Khachaturian,Michel Poncet,Ives Christen
Publisher : Springer Science & Business Media
Page : 205 pages
File Size : 54,8 Mb
Release : 2013-03-08
Category : Medical
ISBN : 9783642467769
The term "Alzheimer's disease" is currently used to refer to senile and also presenile dementia, but the heterogeneity of this disorder is demonstrated in many of its aspects. This is of great theoretical interest, and with the appearance of new therapeutic interventions, it may well also start to have very significant practical importance. To shed some light on the debate, the Fondation Ipsen organized an international symposium which took place on April 6, 1992. This volume contains the proceedings of this meeting, which was attended by researchers in epidemiology, clinical neurology and geriatrics, neuropsychology, neuropathology, molecular biology, and genetics.
Author : Amit Konar
Publisher : CRC Press
Page : 503 pages
File Size : 50,5 Mb
Release : 2018-10-08
Category : Computers
ISBN : 9781351835626
With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.
Author : Dan J. Stein,Samar Reghunandanan,Naomi Fineberg
Publisher : Oxford Psychiatry Library
Page : 161 pages
File Size : 53,5 Mb
Release : 2015
Category : Obsessive-compulsive disorder
ISBN : 9780198706878
This resource includes individual chapters on the phenomenology, pathogenesis, pharmacotherapy and psychotherapy of OCD and other related disorders, and features fully updated content and research, as well as a resources chapter, and an appendix with summaries of the major rating scales used to assess patients with OCD.
Author : Cary L. Cooper,Usha Goswami,Barbara J. Sahakian
Publisher : John Wiley & Sons
Page : 1040 pages
File Size : 40,8 Mb
Release : 2009-08-18
Category : Medical
ISBN : 144430772X
This major new reference presents The Foresight MentalCapital and Wellbeing Project (a UK Government project in theGovernment Office for Science). It offers a comprehensiveexploration of how mental capital and wellbeing operate over thelifespan; how experiences in the family, in school, at work andfollowing retirement augment or reduce mental capital andwellbeing, and the impact that this has for the individual and forthe welfare and economic progress of the nation. Mental Capital and Wellbeingcomprises a series ofscientific reviews written by leading international scientists andsocial scientists in the field. The reviews undertake systematicanalyses of the evidence base surrounding five key themes, on whichthey propose future policies will have to be based. Aninternationally renowned team of Editors introduce each theme anddraw together conclusions in terms of both policy andpractice. Section 1 (Mental Capital and Wellbeing Through Life)– Mental capital refers to the totality of anindividual’s cognitive and emotional resources, includingtheir cognitive capability, flexibility and efficiency of learning,emotional intelligence and resilience in the face of stress. Theextent of an individual’s resources reflects his or her basicendowment (e.g. genes and early biological programming), motivationand experiences (e.g. education) which take place throughout thelife course. This section presents the very latest on the scienceof mental capital throughout life. Section 2 (Learning Through Life) provides a coherentoverview of a fast-moving and complex field of policy and practice.Educational attainment has a considerable impact on physical andmental wellbeing, both directly and indirectly, by enabling peoplebetter to achieve their goals. The ability to continue learningthroughout the lifespan is critical to a successful and rewardinglife in contemporary societies. Section 3 (Mental Health and Ill-Health) draws together themost recent evidence about positive mental health as well as arange of mental disorders to consider their importance to thepopulation and economy in terms of prevalence and disability andthe wider burden on society. Section 4 (Wellbeing and Work) – It is estimated that13 million working days are lost through stress each year, costingthe economy over £3.7 billion per annum. This theme exploresthose drivers that influence the nature and structure of work andthe impact this has on employee wellbeing. Section 5 (Learning Difficulties) – This theme providesa cutting-edge picture of how recent insights from genetics,cognitive and neuroscience improve our understanding of learningdifficulties such as dyslexia, dyscalculia andattention-deficit-hyperactivity disorder. Reviews focus on howcurrent research can contribute to early diagnosis and improvedintervention.
Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publisher : Academic Press
Page : 1074 pages
File Size : 47,9 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9780128165867
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention
Author : April A. Benasich,Urs Ribary
Publisher : MIT Press
Page : 339 pages
File Size : 52,8 Mb
Release : 2022-06-07
Category : Science
ISBN : 9780262545723
Experts explore the maturation of nonlinear brain dynamics from a developmental perspective and consider the relationship of neurodevelopmental disorders to early disruption in dynamic coordination. This volume in the Strüngmann Forum Reports series explores the complex mechanisms that accompany the dynamic processes by which the brain evolves and matures. Integrating perspectives from multiple disciplines, the book identifies knowledge gaps and proposes innovative ways forward for this emerging area of cross-disciplinary study. The contributors examine maturation of nonlinear brain dynamics across systems from a developmental perspective and relate these organizing networks to the establishment of normative cognition and pathology seen in many neurodevelopmental disorders. The book looks at key mechanistic questions, including: What role does dynamic coordination play in the establishment and maintenance of brain networks and structural and functional connectivity? How are local and global functional networks assembled and transformed over normative development? To what degree do oscillatory patterns vary across development? What is the impact of critical periods, and which factors initiate and terminate such periods? It also explores the potential of new technologies and techniques to enhance understanding of normative development and to enable early identification and remediation of neurodevelopmental and neuropsychiatric disorders that may result from early disruption in dynamic coordination. Contributors Sylvain Baillet, Yehezkel Ben-Ari, April A. Benasich, Olivier Bertrand, Gyorgy Buzsáki, Alain Chédotal, Sam M. Doesburg, Gordin Fishell, Adriana Galván, Jennifer N. Gelinas, Jay Giedd, Pierre Gressens, Ileana L. Hanganu-Opatz, Rowshanak Hashemiyoon, Takao K. Hensch, Suzana Herculano-Houzel, Mark Hübener, Mark, Matthias Kaschube, Michael S. Kobor, Bryan Kolb, Thorsten Kolling, Jean-Philippe Lachaux, Ulman Lindenberger, Heiko J. Luhmann, Hannah Monyer, Sarah R. Moore, Charles A. Nelson III, Tomáš Paus, Patrick L. Purdon, Pasko Rakic, Urs Ribary, Akira Sawa, Terrence J. Sejnowski, Wolf Singer, Cheryl L. Sisk, Nicholas C. Spitzer, Michael P. Stryker, Migranka Sur, Peter J. Uhlhaas
