Batch script for analyzing the NYU_CSC dataset Posted By: Alfonso Nieto-Castanon - Sep 16, 2009Tool/Resource: CONN : functional connectivity toolbox CONN functional connectivity toolbox (v.12.f) includes script for performing fully automated analyses of NYU Test-Retest dataset. Analyses include: 1) Spatial preprocessing (normalization&segmentation of anatomical volumes; realignment, coregistration, normalization, and smoothing of functional volumes) 2) Removal of physiological and movement confounds (using movement regressors and signals from CSF/White matter areas) 3) Estimation of first-level functional connectivity maps for 88 difference sources (Brodmann areas + Fox ROIs), for each subject and for each session 4) Second-level seed-to-voxel connectivity maps and ROI-to-ROI analyses across all subjects/sessions. Requirements: ~130Gb hard-drive space ~40 hours (no user intervention) Steps: Download and unzip conn12f.zip Add "conn" folder to matlab path Download NYU dataset (6 .tar.gz files) into a new folder, and from this folder run conn_batchexample_nyu (see "help conn_batchexample_nyu" for further details) |
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