White Matter in Cognitive Neuroscience: Advances in Diffusion Tensor Imaging and Its Applications, Volume 1064 (Annals of the New York Academy of Sciences)

The most advanced uses of diffusion tensor-weighted magnetic resonance imaging for modeling white matter neural connectivity and tractography are assessed; in addition, the authors discuss (1) methods for integrating DTI of white matter into cognitive and clinical neuroscience data and models, (2) how to promote new advances in DTI techniques for applications relevant to cognitive and clinical neuroscience, and (3) how to implement new advances in DTI in readily accessible software that can be distributed to the cognitive and clinical neuroscience communities.

These reports represent the interdisciplinary approach taken at the workshop to the refinement of emerging MR DTI techniques specifically for the purposes of analyzing white matter networks noninvasively. It is hoped that this volume will encourage collaborations that will enhance the capacity for greater applications, developments, and impact of DTI, thus extending the reach of the workshop that preceded it.

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John L. Ulmer and Lawrence Parsons are the authors of White Matter in Cognitive Neuroscience: Advances in Diffusion Tensor Imaging and Its Applications, Volume 1064, published by Wiley.