| Literature DB >> 17347882 |
Matthew K Belmonte1, John C Mazziotta, Nancy J Minshew, Alan C Evans, Eric Courchesne, Stephen R Dager, Susan Y Bookheimer, Elizabeth H Aylward, David G Amaral, Rita M Cantor, Diane C Chugani, Anders M Dale, Christos Davatzikos, Guido Gerig, Martha R Herbert, Janet E Lainhart, Declan G Murphy, Joseph Piven, Allan L Reiss, Robert T Schultz, Thomas A Zeffiro, Susan Levi-Pearl, Clara Lajonchere, Sophia A Colamarino.
Abstract
Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, and extends sharing and collaborative development not only to data but to the analytical tools and methods applied to these data. A theme in these requirements is the need to preserve creative approaches and risk-taking within individual laboratories at the same time as common standards are provided for these laboratories to build on.Entities:
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Year: 2007 PMID： 17347882 PMCID： PMC3076291 DOI： 10.1007/s10803-006-0352-2
Source DB: PubMed Journal: J Autism Dev Disord ISSN： 0162-3257