Computational Neuroimage Analysis Tools For Brain Diseases Biomarkers
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Computational Neuroimage Analysis Tools For Brain Diseases Biomarkers
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Author : Diana M. Sima
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-15
Computational Neuroimage Analysis Tools For Brain Diseases Biomarkers written by Diana M. Sima and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Science categories.
Biomarkers In Psychiatry
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Author : Judith Pratt
language : en
Publisher: Springer
Release Date : 2019-01-05
Biomarkers In Psychiatry written by Judith Pratt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-05 with Science categories.
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.
Neuroimaging Biomarkers In Alzheimer S Disease
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Author : Samuel Barrack
language : en
Publisher: iMedPub
Release Date : 2013-10-20
Neuroimaging Biomarkers In Alzheimer S Disease written by Samuel Barrack and has been published by iMedPub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-20 with Health & Fitness categories.
In view of the growing prevalence of AD worldwide, there is an urgent need for the development of better diagnostic tools and more effective therapeutic interventions. Indeed, much work in this field has been done during last decades. As such, a major goal of current clinical research in AD is to improve early detection of disease and presymptomatic detection of neuronal dysfunction, concurrently with the development of better tools to assess disease progression in this group of disorders. All these putative correlates are commonly referred to as AD-related biomarkers. The ideal biomarker should be easy to quantify and measure, reproducible, not subject to wide variation in the general population and unaffected by co- morbid factors. For evaluation of therapies, a biomarker needs to change linearly with disease progression and closely correlate with established clinico-pathological parameters of the disease. There is growing evidence that the use of biomarkers will increase our ability to better indentify the underlying biology of AD, especially in its early stages. These biomarkers will improve the detection of the patients suitable for research studies and drug trials, and they will contribute to a better management of the disease in the clinical practice. Indeed, much work in this field has been done during last decades. The vast number of important applications, combined with the untamed diversity of already identified biomarkers, show that there is a pressing need to structure the research made on AD biomarkers into a solid, comprehensive and easy to use tool to de deployed in clinical settings. To date there are few publications compiling results on this topic. That is why when I was asked to address this task I accepted inmediately. I am happy to present you a bundle of the best articles published about biomarkers for Alzheimer’s disease in recent times.
Statistical Techniques For Neuroscientists
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Author : Young K. Truong
language : en
Publisher: CRC Press
Release Date : 2016-10-04
Statistical Techniques For Neuroscientists written by Young K. Truong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-04 with Mathematics categories.
Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.
Deciphering The Biomarkers Of Alzheimer S Disease
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Author : Yu Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-11
Deciphering The Biomarkers Of Alzheimer S Disease written by Yu Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Science categories.
Advances In Computational Methods And Modeling For Science And Engineering
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Author : Hari M Srivastava
language : en
Publisher: Elsevier
Release Date : 2025-02-04
Advances In Computational Methods And Modeling For Science And Engineering written by Hari M Srivastava and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
Advances in Computational Methods and Modelling in Science and Engineering explores the application of computational techniques and modeling approaches in science and engineering, providing practical knowledge and skills for tackling complex problems using numerical simulations and data analysis. This book addresses the need for a cohesive and up-to-date resource in the rapidly evolving field of computational methods. It consolidates diverse topics, serving as a one-stop guide for individuals seeking a comprehensive understanding of the subject matter. Sections focus on mathematical techniques that provide global solutions for models arising in engineering and scientific research applications by considering their long-term benefits.The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modeling techniques presented are useful for mathematicians, engineers, scientists, and researchers working on the mathematical treatment of models in a wide range of applications, including disciplines such as engineering, physics, chemistry, computer science, and applied mathematics. - Provides comprehensive coverage of computational methods and modeling techniques applicable to science and engineering - Emphasizes practical application by providing real-world examples - Offers practical guidance and step-by-step examples to help readers overcome challenges related to implementing algorithms, interpreting results, and effectively applying computational methods in their work
Schizophrenia
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Author : Philip G. Janicak
language : en
Publisher: Springer Science & Business
Release Date : 2014-04-16
Schizophrenia written by Philip G. Janicak and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Medical categories.
Schizophrenia: Recent Advances in Diagnosis and Treatment is a major addition to the literature, offering practical, comprehensive coverage of diagnosis and treatment options, genetic issues, neuroimaging, long-term management of schizophrenia, and future directions and predictions of how clinical care of schizophrenia will change. The book is divided into five sections. Section 1 summarizes the present state of knowledge about the diagnosis and treatment of schizophrenia. This includes recent changes in the DSM 5 categorization of schizophrenia and its implications for treatment. Section 2 considers recent discoveries into its pathoetiology, including the status of biological markers, genetics and neuroimaging as they relate to diagnosis and potential novel therapeutic approaches. Section 3 explores the optimization of present therapeutic approaches; novel treatments; and management of the substantial risks associated with both the illness and its present therapies. Section 4 discusses progress in the long-term management of schizophrenia, focusing on biological and psychotherapeutic strategies to improve functioning and facilitate recovery. Section 5 considers future directions and predictions of how diagnosis and treatment of schizophrenia will change. An invaluable addition to the field, Schizophrenia: Recent Advances in Diagnosis and Treatment is a definitive resource that will be of great interest to all clinicians caring for patients with schizophrenia.
Artificial Neural Networks In Pattern Recognition
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Author : Luca Pancioni
language : en
Publisher: Springer
Release Date : 2018-08-29
Artificial Neural Networks In Pattern Recognition written by Luca Pancioni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.
This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Medical Image Computing And Computer Assisted Intervention Miccai 2014
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Author : Polina Golland
language : en
Publisher: Springer
Release Date : 2014-08-31
Medical Image Computing And Computer Assisted Intervention Miccai 2014 written by Polina Golland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-31 with Computers categories.
The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.
Predictive Imagable Biomarkers For Brain Disorders
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Author : Pravat K. Mandal
language : en
Publisher: Frontiers Media SA
Release Date : 2019-09-19
Predictive Imagable Biomarkers For Brain Disorders written by Pravat K. Mandal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with categories.
Recent research on Neurodegenerative disorders such as Alzheimer's Disease, Parkinson's Disease, etc. and Neuropsychiatric disorders such as Schizophrenia, has shown strong evidence that altered brain tissue structure, physiology, and connectivity reflect the extent of severity of behavioral and physical abnormalities. With the advancement of high field strength MR technologies like MRS (Magnetic Resonance Spectroscopy), fMRI (functional Magnetic Resonance Imaging) and DTI (Diffusion Tensor Imaging), it has become possible to non-invasively measure these changes brain microenvironment in terms of levels of antioxidants; neurotransmitters; regional activity, susceptibility and connectivity during transition from healthy to pathological conditions, and during progression of disease stages. Advanced Machine Learning (ML) and Statistical modeling algorithms are utilizing features extracted from multimodal MR based, neuropsychological and neurophysiological data to build classifiers that identify highly sensitive and specific biomarkers to aid in understanding the causal processes of these brain disorders and can be translated from bench to bedside clinical practices for non-invasive diagnostic testing. It is also important to have global clinical research data sharing platforms that utilize data mining and ML to identify early biomarkers and test the sensitivity of old ones from time to time with advancement in research. This Research Topic updates the reader about the latest research in imagable biomarkers using MR methodologies and use of AI for testing the sensitivity of these biomarkers.