Neuroimaging /

• Άλλοι συγγραφείς: Glabus, Michael F.
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: San Diego, Calif. : Elsevier, Ã2005-
• Σειρά: International review of neurobiology ; v. 66.
• Θέματα: Nervous system > Imaging.; Brain > Imaging.; HEALTH & FITNESS > Diseases > Nervous System (incl. Brain); MEDICAL > Neurology.; Electronic books.

 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 the cutting edge of research methodologies, providing a foundation for both established and evolving techniques. These include voxel-based morphometry using structural MRI, functional MRI, perfusion MRI, diffusion tensor imaging, near-infrared spectroscopy and the technique of combining EEG and fMRI studies. Two chapters are devoted to describing methods for studying brain responses and neural models, focusing on functional connectivity, effective connectivity, dynamic causal modeling, and large-scale neural models. The important role played by brain atlases in facilitating the study of normal and diseased brain populations is described in one chapter, and the concept of neuroimaging data bases as a future resource for scientific discovery is elucidated in another. The two parts of Neuroimaging complement each other providing in-depth information on a broad range of routine and cutting edge techniques that is not available in any other text. This book is superbly written and beautifully illustrated by contributors working at the top of their chosen specialty. * Serves as an up-to-date review of cutting-edge neuroimaging techniques * Exquisitely illustrated * Authoritatively written by leading researchers. 

 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.