Daniel R. Weinberger

Kristin L. Bigos

Ahmad R. Hariri

The field of neuroimaging genetics has grown exponentially over the past decade. To date there are more than 10,000 published papers involving MRI, PET, MEG and genetics. Neuroimaging Genetics: Principles and Practices is the comprehensive volume edited by Drs. Bigos, Hariri, and Weinberger and co-authored by the preeminent scholars in the field. This text reviews the basic principles of neuroimaging techniques and their application to neuroimaging genetics. The work presented in this volume elaborates on the explosive interest from diverse research areas in psychiatry and neurology in the use of imaging genetics as a unique tool to establish and identify mechanisms of risk, establish biological significance, and extend statistical evidence of genetic associations. Examples throughout highlight the application of imaging genetics to understand neurochemical systems and pathways, explore relationships between genetics and the structural and functional connectivity in human brain, and provide insight into mechanisms of risk for psychiatric and neurologic illness.

Principles and Practices

Neuroimaging Genetics

Robin Murray

Tamara Russell

Carl Senior

Cynthia H. Y. Fu

New neuroimaging techniques are developing at a break neck pace-every academic journal contains glossy pictures of brain activity corresponding to a particular task emblazoned in glorious technicolor. Discoveries about brain function in psychiatric disorders have been made at an equally rapid rate. However, most books on the subject have been writt

Neuroimaging in Psychiatry

Daniel Marcus

 Xi Cheng

John Van Horn

Venkata Satyanand Mattay

Qian Luo

The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.

Recent Advances and the Future Generation of Neuroinformatics Infrastructure

Joseph T. Coyle

Suzannah B. Tieman

Aryan M. A. Namboodiri

John Moffett

N-acetylaspartate (NAA), the acetylated form of the amino acid aspartate, is one of the most highly concentrated chemicals in the brains of humans, yet its function remains elusive. NAA is used in nonsurgical analyses of nerve cell dysfunction, and it is implicated in a disorder known as Canavan’s disease. This book reviews research from around the world in the study of NAA, and the roles it plays in neuronal development and functioning.

A Unique Neuronal Molecule in the Central Nervous System

N-Acetylaspartate

Daniel R. Weinberger

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