Neuroimaging /
Consisting of two separate volumes, Neuroimaging provides a state-of-the-art review of a broad range of neuroimaging techniques applied to both clinical and research settings. The breadth of the methods covered is matched by the depth of description of the theoretical background. Part A focuses on t...
| Άλλοι συγγραφείς: | |
|---|---|
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
San Diego, Calif. :
Elsevier,
Ã2005-
|
| Σειρά: | International review of neurobiology ;
v. 66. |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Cover
- Title Page
- Copyright Page
- Contents
- Contributors
- Preface
- Chapter 1: Brain Atlases of Normal and Diseased Populations
- I. Introduction
- II. Background
- III. Strategy and Methodology
- IV. Applications
- V. Conclusion
- Acknowledgments
- References
- Chapter 2: Neuroimaging Databases As A Resource For Scientific Discovery
- I. Introduction
- II. Examining Cognitive Function with fMRI
- III. Large-Scale Archiving of fMRI Study Data
- IV. The Emergence of "Discovery Science"
- V. Data Sharing in Neuroscience
- VI. The Role of Computation in Neuroscience
- VII. Brain Data Repositories as a Shared Resource for Neuroscience
- VIII. fMRI Data Archiving, Mining, and Visualization
- IX. Neuroinformatics-The Nexus of Brain, Computational, and Computer Sciences
- X. Current Challenges for Neuroscience Databases
- XI. Conclusion
- References
- Chapter 3: Modeling Brain Responses
- I. Introduction
- II. Anatomical Models
- III. Statistical Models of Regional Responses
- IV. Models of Functional Integration
- V. Conclusion
- Acknowledgments
- References
- Chapter 4: Voxel-Based Morphometric Analysis Using Shape Transformations
- I. Introduction
- II. Shape Transformations and Voxel-Based Methods
- III. Longitudinal Stability
- IV. Diagnosis: Putting it All Together
- V. Neuroimaging Studies of Aging, Schizophrenia, and Genetic Influences on Brain Development
- VI. Conclusion
- References
- Chapter 5: The Cutting Edge of fMRI and High-Field fMRI
- I. Brain Activities are Compartmentalized
- II. Blood Oxygen Level-Dependent Functional MRI
- III. Neural Correlates of BOLD fMRI
- IV. Nonconventional fMRI
- V. Conclusions and Future Prospects for fMRI
- Acknowledgments
- References
- Chapter 6: Quantification of White Matter Using Diffusion-Tensor Imaging
- I. Introduction
- II. Diffusion in the Brain
- III. Basics of DTI
- IV. Quantification of Diffusion Tensors
- V. DTI: Acquisition and Artifacts
- VI. Visualization of Diffusion Tensors
- VII. Basics of Fiber Tractography
- VIII. Advances in Fiber Tractography
- IX. Quantification of White Matter using DTIs
- X. Applications of DTI
- XI. Conclusion
- References
- Chapter 7: Perfusion fMRI for Functional Neuroimaging
- I. Introduction
- II. Acquisition of Perfusion-fMRI Data
- III. Noise and Signal Properties of Perfusion fMRI
- IV. Preprocessing and Statistical Analysis with Perfusion fMRI
- V. Experimental Design with Perfusion fMRI
- VI. Limitations and Developing Areas
- References
- Chapter 8: Functional Near-Infrared Spectroscopy: Potential and Limitations in Neuroimaging Studies
- I. Introduction
- II. Basic Principles of NIRS
- III. NIR Light Propagation in the Head
- IV. Interpretation of NIRS Signals
- V. fNIRS
- VI. Optical Imaging
- VII. Problems with NIRS
- VIII. Future Prospects
- References
- Chapter 9: Neural Modeling.
