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鉴定的使用神经影像学数据的与疾病-相关的的空间协方差模式
JoVE Journal
Medicine
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JoVE Journal
Medicine
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Please note that all translations are automatically generated.
Click here for the English version.
鉴定的使用神经影像学数据的与疾病-相关的的空间协方差模式
DOI:
10.3791/50319-v
•
14:27 min
•
June 26, 2013
•
Phoebe Spetsieris
,
Yilong Ma
,
Shichun Peng
,
Ji Hyun Ko
,
Vijay Dhawan
,
Chris C. Tang
,
David Eidelberg
1
Center for Neurosciences
,
The Feinstein Institute for Medical Research
Chapters
00:05
Title
03:06
Data Collection and Preprocessing
04:34
Perform Multivariate SSM/PCA
08:47
Pattern Biomarker Derivation
10:36
Results: Identification of Disease-related Spatial Covariance Patterns
13:08
Conclusion
Summary
Automatic Translation
English (Original)
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Automatic Translation
多元技术,包括主成分分析(PCA)已经脑功能图像用于识别签名区域变化模式。我们已经开发了一种算法来识别重复的网络神经退行性疾病的诊断,评估病情恶化,患者人群的治疗效果和客观评价的生物标志物。
Tags
Spatial Covariance Patterns
Neuroimaging Data
Scaled Subprofile Model (SSM)
Group Invariant Subprofile (GIS)
PCA
FDG PET
Parkinson’s Disease
Disease-related Patterns
Network-specific Contributions
Differential Diagnosis
Disease Progression
Treatment Effects
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