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|a 1463767303
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|a 9780443238444
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|a TXAM
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| 100 |
1 |
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|a Jao, Chi-Wen.
|
| 245 |
1 |
0 |
|a Medical Image and Signal Analysis in Brain Research.
|
| 250 |
|
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|a 1st ed.
|
| 264 |
|
1 |
|a Chantilly :
|b Elsevier Science & Technology,
|c 2024.
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| 264 |
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4 |
|c ©2024.
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| 300 |
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|a 1 online resource (179 pages).
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| 490 |
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|a Progress in Brain Research Series ;
|v v.Volume 290
|
| 588 |
|
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|a Description based on publisher supplied metadata and other sources.
|
| 505 |
8 |
|
|a Medical Image and Signal Analysis in Brain Research -- Cover image -- Title page -- Table of Contents -- Series Page -- Copyright -- Contributors -- Preface -- Chapter One Morphological changes of cerebral gray matter in spinocerebellar ataxia type 3 using fractal dimension analysis -- Abstract -- Keywords -- 1 Introduction -- 2 Materials and methods -- 2.1 Participants -- 2.2 Data acquisition and processing -- 2.3 The procedures of FD measure -- 2.4 Statistical analysis -- 3 Results -- 3.1 SCA3 showed significant FD values decreased in bilateral parietal and occipital lobes -- 3.2 The FD values of bilateral postcentral gyrus can serve as effective imaging biomarkers for the diagnosis of SCA3 -- 4 Discussion and conclusion -- Conflicts of interest -- References -- Chapter Two Brain structural network modular and connectivity alterations in subtypes of patients with migraine and medication overuse headache -- Abstract -- Keywords -- 1 Introduction -- 2 Materials and methods -- 2.1 Normal participants and patients with EM/CM/MOH -- 2.2 Image acquisition and gray matter cortical thickness measurement
|
| 520 |
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|a This book focuses on the application of medical imaging and signal analysis techniques in brain research. It explores various neurological and psychiatric disorders, employing advanced technologies such as MRI, fMRI, EEG, and MEG to study brain structure and function. The book discusses the use of fractal dimension analysis to examine cerebral gray matter changes in ataxia type 3, brain network alterations in migraine and headache patients, and categorization of bipolar disorder and depression. It also covers enhancing HRF signal accuracy in fNIRS, optimizing user experience in brain-computer interface systems, and analyzing rs-fMRI markers in pain sensitivity. Aimed at researchers, clinicians, and students, the volume provides valuable insights into brain imaging's role in advancing our understanding of the brain and developing diagnostic tools and treatments for neurological disorders.
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| 588 |
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|a Part of the metadata in this record was created by AI, based on the text of the resource.
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|a Brain
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|a Wu, Yu-Te.
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|a ScienceDirect (Online service)
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|i Print version:
|a Jao, Chi-Wen
|t Medical Image and Signal Analysis in Brain Research
|d Chantilly : Elsevier Science & Technology,c2024
|z 9780443238444
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| 830 |
|
0 |
|a Progress in Brain Research Series.
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| 856 |
4 |
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|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/bookseries/00796123/290
|z Connect to the full text of this electronic book
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|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
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|h Library of Congress classification
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| 998 |
f |
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|t 0
|l Available Online
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