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Functional Neuroimaging with Multiple Modalities : Principles, Device and App...

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US $112.56
Approximately£82.94
Condition:
Like New
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Located in: Jessup, Maryland, United States
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eBay item number:388329051923
Last updated on 09 Jun, 2025 19:35:53 BSTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that has been read, but looks new. The book cover has no visible wear, and the dust ...
Book Title
Functional Neuroimaging with Multiple Modalities : Principles, De
ISBN
9781536103786

About this product

Product Identifiers

Publisher
NOVA Science Publishers, Incorporated
ISBN-10
1536103780
ISBN-13
9781536103786
eBay Product ID (ePID)
242543499

Product Key Features

Number of Pages
160 Pages
Language
English
Publication Name
Functional Neuroimaging with Multiple Modalities : Device and Applications
Publication Year
2016
Subject
Neurology, Neuroscience
Type
Textbook
Subject Area
Medical
Author
Yongxia Zhou
Series
Neuroscience Research Progress Ser.
Format
Hardcover

Dimensions

Item Weight
15.7 Oz
Item Length
9.1 in
Item Width
6.1 in

Additional Product Features

LCCN
2016-956160
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
616.804754
Table Of Content
Preface; Coherent Neural Networks Demonstrated by the Monetary Incentive Delayed Task Using fMRI; Monetary Incentive Delayed Task Using PET & Correlations with fMRI; Simultaneous Voxel-wise Mapping of Oxygen Extraction Fraction, Blood Flow & Cerebral Metabolic Rate of Oxygen by Quantitative MRI; MRI & PET Neuroimaging & Integrated PET/MRI Scanner: Introduction & Evaluations; Quantitative Integrated PET/MRI Applications; The Investigation of Memory Consolidation Mechanism Using Diffusion Tensor Imaging & Morphological Analysis in Early Alzheimers Disease; Effects of Age, Gender & Apolipoprotein E Genotype on Structural Connectivity in Cognitively Normal Adults; Effects of Age & Gender on Functional Connectivity in Cognitively Normal Adults; PET/MRI in Characterizing Multiple Parametric Neuroimages - Differential Effects of PET A Deposition & Apolipoprotein E Genotype on MRI Default Mode Network Functional Connectivity; Index.
Synopsis
Searching for an objective and specific in vivo biomarker for normal physiology and early disease diagnosis has always been a major goal, but also one of the most challenging aspects in brain research. Possible earlier identification of the key pathological signature of diseases (for instance, Alzheimers disease (AD)) is critical for efficient treatment and disease prevention. The concept of combined imaging features is based on the recent accumulating evidence that neither PET nor MRI alone is enough for characterising the earliest AD pathology. The results of this book will, for the first time, highlight in vivo the possibility to describe the early detection and multiple biomarkers based on combined imaging features using PET-MRI, which is the most ideal model for such studies. The newly-developed hybrid imaging technology combining PET and MRI (PET/MRI) for the past few years is emerging, and has drawn much attention in technical developments and clinical applications. PET-MRI opens new horizons in multi-parametric neuroimaging for clinical research that allows simultaneous imaging of multiple parametric changes, such as blood flow and metabolism at the same time. This integration significantly decreases the potential errors in image registration, the difficulty of interpreting underlying coexisting pathophysiological events, and most importantly, patient discomfort. This book will provide the most up-to-date and current status of multiple neuroimaging techniques. The most intriguing application of multi-modality neuroimaging lies in simultaneous interpretation and unique information that each modality can offer. Therefore, this book will present some forefront and interesting examples for the first time in this field of research. This will hopefully trigger the interest of colleagues in this challenging field and help facilitate the applications of the neuroimaging techniques described.
LC Classification Number
RC386.6.D52Z46 2016

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