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Brain imaging research and support at the Scientific and Statistical Computing Core

Wednesday, November 06, 2013 — Poster Session I

4:00 p.m. – 6:00 p.m.

FAES Academic Center (Upper-Level Terrace)




  • R.W. Cox


The Scientific and Statistical Computing Core develops methods and provides support for the analysis of brain imaging data, primarily from Magnetic Resonance Imaging. Development of new methodologies is driven in response to or in anticipation of user needs, and new tools are distributed to the intramural and extramural community at large via the AFNI ( software package. While developments are carried out within the AFNI platform, tools are interchangeable with a variety of Neuroimaging software, such as FSL and SPM. The Core facility’s support efforts include conducting weeklong classes on designing and processing FMRI experiments, consultations with NIH users and groups about experimental design, processing methods, statistical inference making, and data quality. In addition, Core members answer questions on AFNI’s public message board, providing support to both NIH and non-NIH investigators along the way. Certain consultations lead to longer term collaborations, resulting in the development and publication of new tools or analysis methods that benefit the wider brain imaging community. Recent examples of such developments include methods for resting state FMRI analysis, flexible multivariate approaches for generalized AN(C)OVA, linear mixed effects modeling, and improvements on nonlinear registration methods.

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