Pattern analysis of the human connectome. (2019)

• Record Type: Book
• Further Information: Note: Dewen Hu, Ling-Li Zeng.
• Other Names: Hu, Dewen; Zeng, Ling-Li
• Contents: Intro; Contents; 1 Introduction; 1 Multimodal Brain Imaging; 2 sMRI-Based Structural Connectivity; 3 DTI-Based Anatomical Connectivity; 4 fMRI-Based Functional Connectivity; 5 Dynamic Functional Connectivity; 6 Multivariate Pattern Analysis; 7 Feature Extraction; 8 Dimensionality Reduction; 9 Classifier Design and Performance Evaluation; 10 The Content of the Book; References; 2 Multivariate Pattern Analysis of Whole-Brain Functional Connectivity in Major Depression; 1 Introduction; 2 Subjects; 3 Image Acquisition and Preprocessing; 4 Identification of Features with High Discriminative Power 5 Support Vector Classification and Performance Evaluation6 Altered Resting-State Functional Connectivityin Major Depression; 7 Discussion; References; 3 Discriminative Analysis of Nonlinear Functional Connectivity in Schizophrenia; 1 Introduction; 2 Participants; 3 Imaging Acquisition and Preprocessing; 4 MIC and eMIC; 5 High Discriminative Connectivity Features; 6 Support Vector Classification and Performance Evaluation; 7 Functional Connectivity Changes; 8 Discussion; References; 4 Predicting Individual Brain Maturity Using Window-Based Dynamic Functional Connectivity; 1 Introduction 2 Participants3 Image Acquisition and Preprocessing; 4 ALFF-FC Map of Dynamic Functional Connectivity; 5 Partial Least-Squares Analysis and Age Prediction; 6 Age-Dependent Changes in the Variability of the Dynamic FC During Maturation; 7 Control Analysis; 8 Reproducibility; 9 Discussion; Functional Connectivity Fluctuations Decode Individual Brain Maturity; Specific Brain Networks Exhibit Changed Connectivity Fluctuation with Age; Inter-network Rather Than Within-Network Connectivity Dynamics Shows Strong DevelopmentalTrends; Control Analysis, Limitations, and Directions for Future Research 5 DiscussionReferences; 7 Locality Preserving Projection of Functional Connectivity for Regression; 1 Introduction; 2 Data Acquisition and Preprocessing; 3 Parametric Curve Fitting and Age-Related Changes in Interregional Functional Connectivity; 4 Low-Dimensional Embeddings; 5 Locally Adjusted Support Vector Regression (LASVR) for Age Prediction; 6 Discussion; References; 8 Intrinsic Discriminant Analysis of Functional Connectivity for Multiclass Classification; 1 Introduction; 2 Participants; 3 Data Acquisition and Preprocessing; 4 IDA Algorithm and Intrinsicconnectomes
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource (261 pages)
• Subjects: 612.8/25; Brain mapping; Brain -- Imaging; Brain -- Imaging; Brain mapping; Electronic books; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789813295230; 9813295236
• Related ISBNs: 9789813295223; 9813295228
• Notes: Note: References5 Locally Linear Embedding of Functional Connectivity for Classification; 1 Introduction; 2 Feature Selection; 3 LLE-Based Dimensionality Reduction; 4 K-Means Clustering-Based Classifier; 5 Evaluation of Classification Performance; 6 Comparison with Other Classification Methods; 7 Most Discriminative Functional Connectivity Features; 8 Discussion; References; 6 Locally Linear Embedding of Anatomical Connectivity for Classification; 1 Introduction; 2 Participants and Imaging Protocol; 3 Region of Interest Segmentation and Fiber Tracking; 4 Feature Selection and Classification; Note: Includes bibliographical references.; Note: Print version record.
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