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Biomarkers for Alzheimer’s Disease Drug Development

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Cover of 'Biomarkers for Alzheimer’s Disease Drug Development'

Table of Contents

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    Book Overview
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    Chapter 1 Epidemiology of Dementia: The Burden on Society, the Challenges for Research
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    Chapter 2 Population-Based Approaches to Alzheimer’s Disease Prevention
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    Chapter 3 Systems Biology Methods for Alzheimer’s Disease Research Toward Molecular Signatures, Subtypes, and Stages and Precision Medicine: Application in Cohort Studies and Trials
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    Chapter 4 CSF Lipidomics Analysis: High-Resolution Mass Spectrometry Analytical Platform
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    Chapter 5 CSF N-Glycomics Using MALDI MS Techniques in Alzheimer’s Disease
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    Chapter 6 MicroRNA Profiling of Alzheimer’s Disease Cerebrospinal Fluid
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    Chapter 7 Validation of a Chemiluminescence Immunoassay for Measuring Amyloid-β in Human Blood Plasma
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    Chapter 8 Mass Spectrometry-Based Metabolomic Multiplatform for Alzheimer’s Disease Research
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    Chapter 9 Blood-Based Biomarker Screening with Agnostic Biological Definitions for an Accurate Diagnosis Within the Dimensional Spectrum of Neurodegenerative Diseases
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    Chapter 10 Functional Magnetic Resonance Imaging in Alzheimer’ Disease Drug Development
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    Chapter 11 Neuroimaging Methods for MRI Analysis in CSF Biomarkers Studies
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    Chapter 12 Hybrid PET-MRI in Alzheimer’s Disease Research
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    Chapter 13 Amyloid PET Imaging: Standardization and Integration with Other Alzheimer’s Disease Biomarkers
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    Chapter 14 The Use of 18F-FDG PET in the Diagnostic Workup of Alzheimer’s Dementia
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    Chapter 15 Quantification of Tau Load in Alzheimer’s Disease Clinical Trials Using Positron Emission Tomography
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    Chapter 16 Imaging Neuroinflammation: Quantification of Astrocytosis in a Multitracer PET Approach
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    Chapter 17 Unbiased Lipidomics and Metabolomics of Human Brain Samples
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    Chapter 18 Neuropathological Assessment as an Endpoint in Clinical Trial Design
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    Chapter 19 Analysis of Micro-RNA Expression by qPCR on a Microfluidics Platform for Alzheimer’s Disease Biomarker Discovery
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    Chapter 20 Telomere Length Shortening in Alzheimer’s Disease: Procedures for a Causal Investigation Using Single Nucleotide Polymorphisms in a Mendelian Randomization Study
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    Chapter 21 Quantifying miRNA Deregulation in Alzheimer’s Disease
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    Chapter 22 Imaging of Microglial Activation in Alzheimer’s Disease by [11C]PBR28 PET
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    Chapter 23 In Vivo Two-Photon Calcium Imaging of Hippocampal Neurons in Alzheimer Mouse Models
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    Chapter 24 Cognitive Assessment in Alzheimer’s Disease Clinical Trials
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    Chapter 25 Data Mining and Machine Learning Methods for Dementia Research
Attention for Chapter 11: Neuroimaging Methods for MRI Analysis in CSF Biomarkers Studies
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Chapter title
Neuroimaging Methods for MRI Analysis in CSF Biomarkers Studies
Chapter number 11
Book title
Biomarkers for Alzheimer’s Disease Drug Development
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7704-8_11
Pubmed ID
Book ISBNs
978-1-4939-7703-1, 978-1-4939-7704-8
Authors

Carles Falcon, Grégory Operto, José Luis Molinuevo, Juan Domingo Gispert

Abstract

Among others, the existence of pathophysiological biomarkers such as cerebrospinal fluid (CSF) Aβ-42, t-tau, and p-tau preceding the onset of Alzheimer's disease (AD) symptomatology have shifted the conceptualization of AD as a continuum. In addition, magnetic resonance imaging (MRI) enables the study of structural and functional cross-sectional correlates and longitudinal changes in vivo and, therefore, the combination of CSF data and imaging analyses emerges as a synergistic approach to understand the structural correlates related with specific AD-related biomarkers. In this chapter, we describe the methods used in neuroimaging that will allow researchers to combine data on CSF metabolites with imaging analyses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Bachelor 1 9%
Lecturer > Senior Lecturer 1 9%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Neuroscience 3 27%
Linguistics 1 9%
Sports and Recreations 1 9%
Psychology 1 9%
Unknown 5 45%