
Contents
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Introduction Introduction
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History of Diffusion Imaging History of Diffusion Imaging
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The Tensor Model The Tensor Model
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Theoretical Relationship Between Magnetic Resonance Signal and Underlying White Matter Structure Theoretical Relationship Between Magnetic Resonance Signal and Underlying White Matter Structure
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Practical Alternatives to QSI Practical Alternatives to QSI
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Across Voxel Modeling: Tractography Across Voxel Modeling: Tractography
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Applying Graph Theory Constructs to Structural Connectivity Estimates Applying Graph Theory Constructs to Structural Connectivity Estimates
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The Impact of Errors in Tractography Estimates on Graph Theory Metrics The Impact of Errors in Tractography Estimates on Graph Theory Metrics
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Population Studies of Brain Networks Population Studies of Brain Networks
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Current and Future Directions in the Study of Brain Networks Current and Future Directions in the Study of Brain Networks
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Neural Connectomics in the Mouse Neural Connectomics in the Mouse
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Macro-Scale Mouse Connectomics Macro-Scale Mouse Connectomics
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Meso-Scale Mouse Connectomics Meso-Scale Mouse Connectomics
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Micro-Scale Mouse Connectomics—or Synaptomics Micro-Scale Mouse Connectomics—or Synaptomics
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Conclusion Conclusion
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Acknowledgments Acknowledgments
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References References
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13 Brain Connectomics in Man and Mouse
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Published:December 2013
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Abstract
Clarification of the underlying principles behind the organization of the brain is a formidable challenge, which can now be addressed thanks to recent methodological advances making it possible to map the connectivity of the human and mouse brain. Diffusion magnetic resonance imaging can measure individual connections in the brain, and graph theory constructs have uncovered some features of the brain’s global network. Recent studies have shown how the network structure of the brain changes with development, aging, and in response to injury or various diseases; they are also demonstrating how network structure is shaped by genetic and environmental influences. These large-scale human data combined with mouse data will lead to a better understanding of brain networks. Also, the application of graph theory to the study of brain connectivity promises to provide new information on neural circuitry, perhaps leading to conclusions about how the brain does what it does.
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