Download or read book Development and Validation of Structural Magnetic Resonance Imaging MRI based Biomarkers for Diagnosis and Prognosis of Prodromal Alzheimer s Disease written by Azar Zandifar and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of dementia. Currently in Canada, there are about 750,000 people living with dementia with more than 60,000 new cases diagnosed each year. Considering the relative failures in recent clinical trials, combined with the promising prospect of life-style changes, early prediction of the future onset of dementia in the early stages of Alzheimer's disease continuum can be highly beneficial. Advances in better identifying future progressors may both enhance population design for clinical trials and better identify the at-risk populations for life-style interventions. This thesis focuses on enhancement of dementia onset in patients with Mild Cognitive Impairment (MCI) using structural Magnetic Resonance Images (MRI) driven markers. The volume of the hippocampus is one of the best-known MRI-based biomarkers for Alzheimer's disease. Here, it is investigated using four different automatic hippocampus segmentation methods, each enhanced with bias error correction. Results show that multi-atlas-based hippocampus segmentation methods are accurate and show high conformity with manual delineation, and they can be further enhanced using a bias correction technique. The methods compared are not significantly different in their ability to capture AD related pathology. The Cohen's d group difference in hippocampal volume between patients with Alzheimer's dementia and healthy controls is high for all the methods and is of medium size between patients with MCI who convert to dementia in the near future and to those who remain stable for all the methods.Due to the wide-spread use of hippocampal volume a recent effort has been made by researchers in the field to harmonize the hippocampus segmentation protocol. The resulting new protocol, known as the EADC-ADNI harmonized protocol or the HarP, needs more validation. I validate the protocol using a large multi-center database designed for AD biomarker research. The results show that the HarP-based automatic segmentation is an accurate hippocampal segmentation which can be used in AD-related research to capture the Alzheimer's pathology. The methods described above are used in a novel model to predict the onset of dementia in an MCI population during different follow-up periods. The model combines information from MRI-driven markers from the hippocampus and entorhinal cortex with cognitive scores at baseline and tries to predict the diagnostic stage of each subject in different time intervals following the baseline visit. The model produces promising results using information from both cognitive scores and MRI markers to reach higher performance. MRI markers are more sensitive, while cognitive scores bring specificity to the prediction. Furthermore, for a follow-up period of 5 years, the model reaches an area under the receiver operating curve of 0.92 and an accuracy of 87%. Therefore, the prognostic model demonstrates promise as a candidate to be used in the clinic to identify subjects with prodromal Alzheimer's dementia at the MCI stage. Finally, I show that the AD-related atrophy pattern is even present in cognitively normal subjects and can be captured through hippocampal-based markers. I show that there is a small effect size (as measured by Cohen's d) between hippocampal volume in subjects who progress to MCI and/or dementia or subjects who maintain their normal cognition, while the effect is of medium size for the hippocampal grade. This thesis evaluates different automatic and manual hippocampus segmentation techniques and validates hippocampus volume as the most widely used AD marker. Moreover, I present a model to predict the onset of dementia in subjects MCI. I further validate hippocampal driven markers as an Alzheimer's biomarker in very early stages of the disease. Therefore, the results of this work will improve early detection of Alzheimer's leading to decrease the prevalence of the disease." --

Download or read book Global Clinical Trials for Alzheimer s Disease written by Michel Grothe and published by Elsevier Inc. Chapters. This book was released on 2013-08-28 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: In-vivo imaging markers of neuronal changes related to Alzheimer’s disease (AD) are ideally suited to be employed as diagnostic markers for early and differential diagnosis of AD as well as for the assessment of neurobiological effects of medical treatments in clinical trials. Novel molecular imaging techniques enable in-vivo detection of cerebral amyloid pathology, whereas magnetic resonance imaging (MRI)-based techniques, such as volumetric MRI and diffusion tensor imaging (DTI), provide structural lesion markers that allow tracking disease progression from preclinical through predementia to clinically manifest stages of AD. However, a widespread clinical use of these imaging biomarkers is hampered by considerable multi-centric variability related to differences in scanner hardware and acquisition protocols, but also by the lack of internationally agreed upon standards for analytic design and employed quantitative metrics. Several strategies for reducing multicenter variability in imaging measures have been proposed, including homogenization of the acquisition settings across scanner platforms, stringent quality assurance procedures, and artifact removal by means of post-acquisition image processing techniques. In addition, selection of appropriate statistical models to account for remaining multicenter variability in the data can further improve the accuracy and reproducibility of study results. The first projects for international standardization of image analysis methods and derived quantitative metrics have emerged recently for volumetric MRI measures. In contrast, the standardization and establishment of DTI-derived measures within a multicenter context are less well developed. Although molecular imaging techniques are already widely used in multicenter settings, sources of variability across sites and appropriate methods to reduce multicenter effects are still not explored in detail. Comparability of neuroimaging measures as AD biomarkers in worldwide clinical settings will finally depend on the establishment of internationally agreed upon standards for image acquisition, quality assurance, and employed quantitative metrics.

Download or read book Multi scale and Multimodal Imaging Biomarkers for the Early Detection of Alzheimer s Disease written by Kilian Hett and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer's disease (AD) is the most common dementia leading to a neurodegenerative process and causing mental dysfunctions. According to the world health organization, the number of patients having AD will double in 20 years. Neuroimaging studies performed on AD patients revealed that structural brain alterations are advanced when the diagnosis is established. Indeed, the clinical symptoms of AD are preceded by brain changes. This stresses the need to develop new biomarkers to detect the first stages of the disease. The development of such biomarkers can make easier the design of clinical trials and therefore accelerate the development of new therapies. Over the past decades, the improvement of magnetic resonance imaging (MRI) has led to the development of new imaging biomarkers. Such biomarkers demonstrated their relevance for computer-aided diagnosis but have shown limited performances for AD prognosis. Recently, advanced biomarkers were proposed toimprove computer-aided prognosis. Among them, patch-based grading methods demonstrated competitive results to detect subtle modifications at the earliest stages of AD. Such methods have shown their ability to predict AD several years before the conversion to dementia. For these reasons, we have had a particular interest in patch-based grading methods. First, we studied patch-based grading methods for different anatomical scales (i.e., whole brain, hippocampus, and hippocampal subfields). We adapted patch-based grading method to different MRI modalities (i.e., anatomical MRI and diffusion-weighted MRI) and developed an adaptive fusion scheme. Then, we showed that patch comparisons are improved with the use of multi-directional derivative features. Finally, we proposed a new method based on a graph modeling that enables to combine information from inter-subjects' similarities and intra-subjects' variability. The conducted experiments demonstrate that our proposed method enable an improvement of AD detection and prediction.

Download or read book Imaging and Multiomic Biomarker Applications written by Yongxia Zhou and published by Nova Medicine & Health. This book was released on 2021-01-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The well-known Alzheimer's Disease Neuroimaging Initiative (ADNI) Center provides the most advanced, comprehensive, multiparametric and up-to-date biomarkers for mild cognitive impairment (MCI) and early Alzheimer's disease (AD) projects, including neuroimaging, clinical assessments, biospecimens and genetic data. Recent developments in imaging techniques, including new molecular tracers for imaging disease burden and systematic multi-modal integration, have emerged to overcome the limitations of each single modality and individual-dependent variability. The MRI-based high-resolution structural and morphological changes in the brain, such as atrophy, and the abnormal activity/connectivity patterns of the hippocampus subfields and default mode network (DMN) modulation, together with the amyloid and tau neuropathological quantification using PET molecular tracers, could be used to predict brain changes and cognitive performance declines in early AD, including transitional MCI. Finally, a generalized and integrative model with multiple biomarkers could be built to target disease progression and symptom prediction as well as to optimize patient management.Multiomics investigates metabolomic, lipidomic, genomic, transcriptomic and proteomic perspectives by presenting an accurate biochemical profile of the organism in health and disease. The Alzheimer's Disease Metabolomics Consortium (ADMC) in partnership with ADNI is creating a comprehensive biochemical database for patients in the ADNI1 cohort, consisting of eight metabolomics datasets. The vast majorities of biospecimen data provide rich biological information to the human brain at normal and dementia status. One of the purposes is to reveal the connections between disease and multiomics such as obesity, hypertension, cholesterol imbalance and inflammation risks that might lead to neurodegenerative disease. Multiomic biomarker developments in the dementia field have provided earlier clues to novel treatments that help correct metabolic dysfunction and delay disease progression. Furthermore, the assembling of multiomics-based biomarkers including metabolites and lipids, cholesterol biosynthesis, purine metabolism, lipoprotein, bile acids, and genetics as well as their relation to the pathological amyloid and tau network could improve disease diagnosis sensitivity and reveal more diverse and complementary molecular pathways to allow for the advancement of early AD diagnosis and therapeutic prevention. In this book, we report on the significant differences of multiple biomarkers from the ADNI database including neuroimaging, clinical assessments and multiomic biospecimen/genetic data in MCI and early probable AD (pAD), and elucidate the interconnections among different metrics at various domains. Classification results with high accuracies (0.95-1) for each early dementia subtype including early MCI (EMCI), late MCI (LMCI) and pAD, and better prediction of clinical symptoms is achieved with these comprehensive biomarkers. Further longitudinal changes of imaging and neuropsychological biomarkers, and inter-correlations with baseline parameters are examined for a better illustration of disease progression association. Additionally, an analysis of the post-traumatic stress disorder biomarkers is performed with high classification accuracy. With illustrative and rigorous data analyses and confirmative results, this book provides readers with a full spectrum of biomarker research for early dementia diagnosis and treatment, and helps convey the technical development and data evaluation perspectives in advanced medical imaging and various disease application fields.

Download or read book Biomarkers in Alzheimer s Disease written by Tapan Khan and published by Academic Press. This book was released on 2016-08-02 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarkers in Alzheimer’s Disease provides a comprehensive overview of all modalities of Alzheimer’s disease biomarkers, including neuroimaging, cerebrospinal fluid, genomic, and peripheral systems. Each chapter integrates molecular/cellular abnormality due to Alzheimer’s disease and technological advancement of biomarkers techniques. The book is ideal for clinical neuroscience and molecular/cellular neuroscience researchers, psychiatrists, and allied healthcare practitioners involved in the diagnosis and management of patients with cognitive impairment and Alzheimer’s disease, and for differential diagnosis of Alzheimer’s disease with other non-Alzheimer’s dementia. Presents a comprehensive overview detailing all modalities of Alzheimer’s disease biomarkers Written for neuroscience researchers and clinicians studying or treating patients with Alzheimer’s Disease Integrates, in each chapter, the molecular/cellular abnormality due to Alzheimer’s disease and the technological advancement of biomarkers techniques

Download or read book Cerebrospinal Fluid Biomarkers written by Charlotte E. Teunissen and published by Humana. This book was released on 2022-05-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers the latest methods used in clinical neurochemistry laboratories for both clinical practice and research. Chapters in this book discuss topics such as techniques for cerebrospinal fluid (CSF) collection, pre-analytical processing, and basic CSF analysis; an examination of biomarkers including ELISA and automated immunochemical assays for amyloid and tau markers for Alzheimer’s disease; the analysis of neurofilaments by digital ELISA; and an example of successful novel immunoassay development. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and thorough, Cerebrospinal Fluid Biomarkers is a valuable resource for clinicians and researchers to use in CSF labs and CSF courses.

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 Early Diagnosis of Alzheimer s Disease written by Leonard F. M. Scinto and published by Springer Science & Business Media. This book was released on 2000-02-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drs. Leonard Scinto and Kirk Daffner provide a comprehensive survey of new diagnostic approaches to Alzheimer's disease. The authoritative contributors critically survey the most promising current research on early diagnostic markers for Alzheimer's disease, including the elucidation of changes in the brain revealed by structural and functional neuroimaging, as well as the characteristic patterns of cognitive decline that are documented by sensitive neuropsychological tests, various genetic markers, and biological assays. Early Diagnosis of Alzheimer's Disease illuminates the complex issues surrounding the search for early markers of this increasingly widespread disease. It will establish a new standard reference guide for all those working with Alzheimer's patients.

Download or read book Predicting Alzheimer s Dementia Form Heterogeneous Patterns of Neurodegeneration and Functional Connectivity written by Angela Tam and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "There is a large field of research dedicated to the development of biomarkers for an early diagnosis of Alzheimer's disease (AD). Predicting AD dementia within an individual, especially at a prodromal stage like mild cognitive impairment (MCI), is complicated by the vast amount of heterogeneity present in populations. This thesis explores heterogeneity in brain organization with magnetic resonance imaging (MRI) in order to develop biomarkers to identify individuals who will progress to AD dementia. Chapter 1 provides a brief introduction to the problem at hand and lists the specific aims of this thesis. Chapter 2 provides a review of the literature of biomarker development for AD, with a focus on MRI-based studies and prediction of cognitive trajectories with machine learning. In chapter 3, we present a study that explored whether there were functional connections in resting-state networks that could consistently discriminate between patients with MCI and cognitively normal older adults in the face of heterogeneity from methodological procedures. We identified functional connections that were robustly altered in the default mode network and the cortical-strial-thalamic loop, albeit with small to medium effect sizes, in MCI patients compared to controls in several independent datasets. We also provide sample size estimates to obtain adequate statistical power in a multisite study setting. Chapter 4 presents a study describing resting-state networks at various spatial resolutions in a heterogeneous sample of older adults with and without cognitive impairment. In chapter 5, we describe a study in which we developed a signature based on brain atrophy patterns and cognitive deficits that is highly predictive of future progression to AD dementia in a subgroup of individuals with MCI. By harnessing the heterogeneity in brain structure, we were able to achieve higher positive predictive values and specificity compared to previous works at predicting progression to dementia from the MCI stage. Lastly, a discussion of the contributions and future developments from these studies is presented in chapter 6. This thesis provides novel insights into the heterogeneity of structural and functional brain organization and the use of MRI as a tool to develop biomarkers for AD." --

Download or read book Diseases of the Brain Head and Neck Spine 2020 2023 written by Juerg Hodler and published by Springer Nature. This book was released on 2020-02-14 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers an essential overview of brain, head and neck, and spine imaging. Over the last few years, there have been considerable advances in this area, driven by both clinical and technological developments. Written by leading international experts and teachers, the chapters are disease-oriented and cover all relevant imaging modalities, with a focus on magnetic resonance imaging and computed tomography. The book also includes a synopsis of pediatric imaging. IDKD books are rewritten (not merely updated) every four years, which means they offer a comprehensive review of the state-of-the-art in imaging. The book is clearly structured and features learning objectives, abstracts, subheadings, tables and take-home points, supported by design elements to help readers navigate the text. It will particularly appeal to general radiologists, radiology residents, and interventional radiologists who want to update their diagnostic expertise, as well as clinicians from other specialties who are interested in imaging for their patient care.

Download or read book Neuroimaging in Psychiatry written by Cynthia H. Y. Fu and published by CRC Press. This book was released on 2003-09-26 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: New neuroimaging techniques are developing at a break neck pace-every academic journal contains glossy pictures of brain activity corresponding to a particular task emblazoned in glorious technicolor. Discoveries about brain function in psychiatric disorders have been made at an equally rapid rate. However, most books on the subject have been written from a technical point of view. An introductory, easy-to-read guide, Neuroimaging in Psychiatry provides an overview and the clinical relevance of the latest neuroimaging findings. With contributions from an international panel of experts, this book reviews current findings from neuroimaging in schizophrenia, obsessive-compulsive disorder, depression, eating disorders, psychopathy, aging, and drug addiction. Chapter authors explore innovative and imaginative uses of neuro imaging technology, implications for our understanding of these disorders, and their impact on clinical practice. The book gives you a general overview of the main techniques to help you successfully complete a neuroimaging project.

Download or read book Neuroimaging biomarkers in Alzheimer s disease written by Samuel Barrack and published by iMedPub. This book was released on 2013-10-20 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Predictive Intelligence in Medicine written by Islem Rekik and published by Springer Nature. This book was released on 2019-10-10 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.

Download or read book Biomarkers in Psychiatry written by Judith Pratt and published by Springer. This book was released on 2019-01-05 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Neurodegeneration and Alzheimer s Disease written by Ralph N. Martins and published by John Wiley & Sons. This book was released on 2019-07-10 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the impact of diet, exercise, genetics, and hormones on the risk and development of Alzheimer’s and other neurogenerative diseases Diet is widely known to impact on neurological function. Nevertheless, academic texts discussing this relationship are relatively few in number. This book therefore fills an important gap in the current literature. Opening with an overview of neurodegenerative diseases, particularly Alzheimer’s disease, the text then focuses on explaining the means by which glycemic control and lipid metabolism – and associated nutritional and lifestyle variables – may factor into such disorders’ prevention and treatment. An international group of experts in the fields of food science and neurodegeneration have contributed chapters that examine Alzheimer’s disease within a broad range of contexts. Offering dietary, genetic, and hormonal perspectives, the authors explore topics ranging from sugar consumption to digestive fermentation, and Alzheimer’s disease animal models to the cognition-enhancing effects of physical exercise. Also included are overviews of the latest research into current and developing methods of treatment and diagnosis, as well as differential diagnostics. This groundbreaking book: Explores how glucose metabolism, insulin resistance, lipid metabolism, and high intake of refined carbohydrates are linked to Alzheimer's disease Discusses how genetic makeup can impact risk of Alzheimer’s and Parkinson’s disease Examines cognitive changes in neurodegeneration, lists current tests for determining cognitive impairment, and provides information concerning differential diagnosis Discusses potential advantages of increasing antioxidant and micronutrient intake Reviews hormonal influences on neurodegeneration Examines the links between protein intake and Alzheimer’s disease. Neurodegeneration and Alzheimer's Disease is an essential resource for researchers, medical practitioners, dietitians, and students with an interest in neurological diseases and their diagnosis and risk factors, as well as diet-related conditions such as diabetes and obesity. Lifestyle and diet influence neurodegeneration risk, and a better understanding of this evidence amongst health professionals will hopefully lead to greater public awareness of how to reduce the likelihood of these widespread conditions.

Download or read book The Handbook of Alzheimer s Disease and Other Dementias written by Andrew E. Budson and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference is a broad-ranging review of Alzheimer's disease and other dementias from both basic and clinical neuroscience perspectives; it provides scientists and medical professionals with an extensive introduction and an up-to-date review of cutting-edge scientific advances. Brings the reader up-to-date with cutting-edge developments in this exciting and fast-paced field Summarizes the most recent developments in the fields of Alzheimer's disease and dementia Brings together articles from a prominent and international group of contributors Encompasses a unique range of topics, combining basic molecular perspectives and cognitive neurosciences

Download or read book Clinical Staging in Psychiatry written by Patrick D. McGorry and published by Cambridge University Press. This book was released on 2019-08-29 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical staging is a solution to transform psychiatric diagnosis and improve mental health outcomes.