White Matter in Cognitive Neuroscience Advances in Diffusion Tensor Imaging and its Applications

Researchers from diverse research communities in cognitive neuroscience, clinical neuroscience, MR-diffusion tensor imaging, and algorithm development have contributed articles that explore the potential for diffusion tensor imaging (DTI) to measure and model white matter tracts in the human brain. 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. NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit www.blackwellpublishing.com/nyas. ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit www.nyas.org/membership/main.asp for more information about becoming a member.Ulmer, John L. is the author of 'White Matter in Cognitive Neuroscience Advances in Diffusion Tensor Imaging and its Applications', published 2006 under ISBN 9781573315463 and ISBN 157331546X.