Download or read book Future Opportunities to Leverage the Alzheimer s Disease Neuroimaging Initiative written by Institute of Medicine and published by National Academies Press. This book was released on 2011-01-07 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nearly 5.3 million Americans are living with Alzheimer's disease, and 26.6 million people are affected worldwide. The Alzheimer's Disease Neuroimaging Initiative (ADNI), a public-private partnership, provides a publicly available, international database of clinical and imaging data to foster research and collaboration on Alzheimer's research worldwide. The Institute of Medicine held a workshop on July 12, 2010, to explore opportunities to use information from and partnerships formed because of ADNI to continue to improve the understanding and treatment of Alzheimer's disease.
Download or read book Alzheimer s Disease written by William Michael Brown and published by . This book was released on 1999 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuroimaging and Neuropsychology in Aging and Alzheimer s Disease written by Sarah Judith Greene and published by . This book was released on 2010 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Alzheimer's disease (AD) is the most common form of dementia, and the need for the identification of biomarkers for predicting future development of AD is imperative for the effective application of preventive treatments. Magnetic resonance imaging (MRI) is a useful means for measuring atrophy in the brain in vivo, and for identifying possible imaging biomarkers to predict who will develop AD. Regions that have received attention as possible predictors of AD include the hippocampus, entorhinal cortex, and more recently, regions of the parietal lobe. To gain further insight into these regions, the hippocampus and inferior parietal lobule (IPL) were subdivided into discrete subregions and compared in normal aging, mild cognitive impairment (MCI) and AD subjects of the Alzheimer's Disease Neuroimaging Initiative. MRI images were processed through FreeSurfer to gain morphometric measures of each region, and subregions were manually defined. The IPL was subdivided into the gyrus, banks, and fundus. These regions were differentially affected among groups, suggesting that reductions occur in the left IPL banks prior to the gyrus and fundus, and that IPL measures, when combined with neuropsychological (NP) data, were predictive of group membership and future decline. The hippocampus was subdivided into the head, body, and tail. Group differences in volume primarily occurred in the head and body, which demonstrated the strongest correlations with NP performance, and together predicted group membership. Finally, the effect of correcting for intracranial volume (ICV), a common method for accounting for head size variation in MRI, was investigated. Volumetric measurements of the hippocampus, entorhinal cortex, and ICV were obtained via FreeSurfer, and raw and ICV corrected data (expressed as % ICV) were evaluated. Results suggest that when performing large group analyses, correction for head size may be necessary, however when evaluating relationships between volumetric and NP data, correlations are stronger in raw data. Moreover, the raw data may be more accurate in the diagnosis of AD. In summary, overall results suggest that IPL and hippocampal subregions may serve as useful biomarkers that predict the development of AD, and the utilization of ICV correction may be dependent upon the type of analyses being performed.
Download or read book The Creative Destruction of Medicine written by Eric Topol and published by . This book was released on 2012-01-31 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: A professor of medicine reveals how technology like wireless internet, individual data, and personal genomics can be used to save lives.
Download or read book Neuroimaging based Artificial Neural Network Predicts Conversion of Cognitive Impairment Spectrum in Alzheimer s Disease written by Xiao Gao and published by . This book was released on 2018 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer's Disease (AD) represents the most frequent (60-80%) subtype of dementia and is one kind of progressive spectrum disorder without effective treatment so far. In the last decades, great efforts from all over the community have been made on the early diagnosis of AD at its preclinical stage, Mild Cognitive Impairment (MCI). Recently, a series of machine learning studies have successfully constructed several computational models in predicting conversion of cognitive impairment but seldom foresee beyond 4 years. Thanks to Alzheimer's Disease Neuroimaging Initiative (ADNI) database, in this study we extracted cognition feature from several clinical outcomes. We then took advantage of structural MRI data and one Network Diffusion Model (NDM) raised by our group for subject-specific prediction of future cognition features. One supervised classification neural network was trained with ground-truth baseline and time-of- interest data but applied with predicted future cognition features. This established machine learning framework has demonstrated descent sensitivity and specificity in prediction of MCI-to- AD conversion (0.890 +/- 0.083 and 0.923 +/- 0.045) and healthy control (HC)-to-AD conversion (0.900 +/- 0.074 and 0.744 +/- 0.154) 5 years post baseline. To the best of our knowledge, we are the very first groups working on long-term prediction of AD spectrum conversion from both HC and MCI.
Download or read book Multi modality Inference Methods for Neuroimaging with Applications to Alzheimer s Disease Research written by and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An emphasis in ongoing Alzheimer's disease (AD) research is identifying those biomarkers which best predict future cognitive decline at the various stages of disease progression. These biomarkers can then serve as early markers for diagnosis, and for selection of subjects into clinical trials. Recent results suggest that the identification of such discriminative biomarkers is possible by adapting machine learning methods for this problem: but studies have primarily used modalities in isolation so far. The sensitivity/specificity offered by these methods is unsatisfactory for more clinically relevant questions: which Mild Cognitive Impairment (MCI) patients will convert to AD? Answering such questions requires new methods that leverage all data sources (e.g., imaging modalities, CSF measures) in conjunction. This thesis focuses on how data from multiple biomarkers should be optimally aggregated to best predict future cognitive decline, and how these models can improve clinical trials for AD. Significant improvements in sensitivity and specificity for discriminating AD, MCI, and healthy controls at the level of individual subjects are possible by making use of multiple modalities (together with longitudinal data) simultaneously. Further, these methods significantly improve sample size estimates in clinical trials, and help derive customized outcomes for evaluating new treatment procedures. This dissertaion presents new algorithms for a) introducing inductive biases into existing machine learning methods which are designed to fully capture and exploit the structure of the image data; b) combining various imaging modalities into a single predictive model via constructions based on robust loss functions, and quadratic regularizers based on modality-modality interactions; c) using the above frameworks to derive sensitive custom measures of disease progressiong from medical neuroimaging data for use in clinical trials. We present extensive empirical evaluations and theoretical evidence that illustrate how tailor-made machine learning algorithms can transform neuroimaging analysis and clinical trials.
Download or read book Machine Learning for Image based Classification of Alzheimer s Disease written by Katherine Rachel Gray and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging biomarkers for Alzheimer's disease are important for improved diagnosis and monitoring, as well as drug discovery. Automated image-based classification of individual patients could provide valuable support for clinicians. This work investigates machine learning methods aimed at the early identification of Alzheimer's disease, and prediction of progression in mild cognitive impairment. Data are obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Australian Imaging, Biomarker and Lifestyle Flagship Study of Ageing (AIBL). Multi-region analyses of cross-sectional and longitudinal FDG-PET images from ADNI are performed. Information extracted from FDG-PET images acquired at a single timepoint is used to achieve classification results comparable with those obtained using data from research-quality MRI, or cerebrospinal fluid biomarkers. The incorporation of longitudinal information results in improved classification performance. Changes in multiple biomarkers may provide complementary information for the diagnosis and prognosis of Alzheimer's disease. A multi-modality classification framework based on random forest-derived similarities is applied to imaging and biological data from ADNI. Random forests provide consistent similarities for multiple modalities, facilitating the combination of different types of features. Classification based on the combination of MRI volumes, FDG-PET intensities, cerebrospinal fluid biomarkers, and genetics out-performs classification based on any individual modality. Multi-region analysis of MRI acquired at a single timepoint is used to show volumetric differences in cognitively normal individuals differing in amyloid-based risk status for the development of Alzheimer's disease. Reduced volumes in temporo-parietal and orbito-frontal regions in high-risk individuals from both ADNI and AIBL could be indicative of early signs of neurodegeneration. This suggests that volumetric MRI can reveal structural brain changes preceding the onset of clinical symptoms. Taken together, these results suggest that image-based classification can support diagnosis in Alzheimer's disease and preceding stages. Future work may lead to more finely meshed prognostic data that may be useful clinically and for research.
Download or read book Miller s Anesthesia E Book written by Ronald D. Miller and published by Elsevier Health Sciences. This book was released on 2014-10-20 with total page 4094 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamental principles to advanced subspecialty procedures, Miller’s Anesthesia covers the full scope of contemporary anesthesia practice. This go-to medical reference book offers masterful guidance on the technical, scientific, and clinical challenges you face each day, in addition to providing the most up-to-date information available for effective board preparation. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. Address the unique needs of pediatric patients with guidance from an entire section on pediatric anesthesia. View more than 1,500 full-color illustrations for enhanced visual clarity. Access step-by-step instructions for patient management, as well as an in-depth analysis of ancillary responsibilities and problems. Quickly reference important concepts with ‘Key Points’ boxes integrated into every chapter. Stay current on today's most recent anesthetic drugs and guidelines/protocols for anesthetic practice and patient safety, and access expanded coverage on new techniques such as TEE and other monitoring procedures. Take advantage of the unique, international perspectives of prominent anesthesiologists from all over the world, including the UK, Australia, India, Brazil, and Germany. Remain at the forefront of new developments in anesthesia with coverage of hot topics including Non-OR Anesthesia; Role of the Anesthesiologist in Disasters; Sleep Medicine in Anesthesia; Perioperative and Anesthesia-related Neurotoxicity; Anesthetic Implications of Complementary and Alternative Medicine; and Robotics. Study brand-new chapters on Perioperative Fluid Management; Extracorporeal Support Therapies; Anesthesia for Organ Donation/Procurement; and Malignant Hyperthermia and other Genetic Disorders.
Download or read book Clinical Calculations E Book written by Joyce LeFever Kee and published by Elsevier Health Sciences. This book was released on 2020-06-12 with total page 4094 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW! Updated information on Antidiabetic Agents (orals and injectables) has been added throughout the text where appropriate. NEW! Updated content on Anticoagulant Agents is housed in an all-new chapter. NEW! Colorized abbreviations for the four methods of calculation (BF, RP, FE, and DA) appear in the Example Problems sections. NEW! Updated content and patient safety guidelines throughout the text reflects the latest practices and procedures. NEW! Updated practice problems across the text incorporate the latest drugs and dosages.
Download or read book Informing the Future written by Institute of Medicine and published by National Academies Press. This book was released on 2011-10-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report illustrates the work of IOM committees in selected, major areas in recent years, followed by a description of IOM's convening and collaborative activities and fellowship programs. The last section provides a comprehensive bibliography of IOM reports published since 2007.
Download or read book Recent Advances and the Future Generation of Neuroinformatics Infrastructure written by Xi Cheng and published by Frontiers Media SA. This book was released on 2015-12-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.
Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf and published by MIT Press. This book was released on 2004 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.
Download or read book Principles and Practice of Geriatric Psychiatry written by Mohammed T. Abou-Saleh and published by John Wiley & Sons. This book was released on 2011-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The renowned Principles and Practice of Geriatric Psychiatry, now in its third edition, addresses the social and biological concepts of geriatric mental health from an international perspective. Featuring contributions by distinguished authors from around the world, the book offers a distinctive angle on issues in this continually developing discipline. Principles and Practice of Geriatric Psychiatry provides a comprehensive review of: geriatric psychiatry spanning both psychiatric and non-psychiatric disorders scientific advances in service development specific clinical dilemmas New chapters on: genetics of aging somatoform disorders epidemiology of substance abuse somatoform disorders care of the dying patient Continuing the practice of earlier editions, the major sections of the book address aging, diagnosis and assessment and clinical conditions, incorporating an engaging discussion on substance abuse and schizophrenic disorders. Shorter sections include the presentation of mental illness in elderly people from different cultures—one of the most popular sections in previous editions. Learning and behavioural studies, as well as models of geriatric psychiatry practice, are covered extensively. This book provides a detailed overview of the entire range of mental illness in old age, presented within an accessible format. Principles and Practice of Geriatric Psychiatry is an essential read for psychiatrists, geriatricians, neurologists and psychologists. It is of particular use for instructors of general psychiatry programs and their residents.
Download or read book Alzheimer s Disease Neuroimaging Initiative ADNI Studies written by G. Frisoni and published by . This book was released on 2010 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuroimaging in Dementia written by Frederik Barkhof and published by Springer Science & Business Media. This book was released on 2011-02-11 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This up-to-date, superbly illustrated book is a practical guide to the effective use of neuroimaging in the patient with cognitive decline. It sets out the key clinical and imaging features of the various causes of dementia and directs the reader from clinical presentation to neuroimaging and on to an accurate diagnosis whenever possible. After an introductory chapter on the clinical background, the available "toolbox" of structural and functional neuroimaging techniques is reviewed in detail, including CT, MRI and advanced MR techniques, SPECT and PET, and image analysis methods. The imaging findings in normal ageing are then discussed, followed by a series of chapters that carefully present and analyze the key findings in patients with dementias. Throughout, a practical approach is adopted, geared specifically to the needs of clinicians (neurologists, radiologists, psychiatrists, geriatricians) working in the field of dementia, for whom this book will prove an invaluable resource.
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2019 written by Dinggang Shen and published by Springer Nature. This book was released on 2019-10-10 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Download or read book Multi dimensional characterization of neuropsychiatric disorders written by Peng Wang and published by Frontiers Media SA. This book was released on 2023-01-03 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
