| 2469 | |
| NKI_Rockland | |
| 1143655_fcMRI_noGSR | |
| Craddock 200 | |
| file | |
| file | |
| file | |
| file | |
| fMRI | |
| Public | |
| Siemens Trio 3T | |
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| 13 | |
| 13 | |
| Male | |
| Normal | |
| 1 | |
| 1) FSL slicetimer, 2) FSL MCFLIRT, 3) FSL BET, 4) spatially smooth w/ 5mm FWHM Gaussian, 5) scale to mean 10000, 6) band pass temporal filter from .08-.009Hz, 7) FSL FAST MPRAGE, 8) register CSF and WM masks to fMRI space, 9) mask the CSF and WM masks with conservative ventricular and core white matter masks derived from the MNI152 atlas, 10) extract mean timeseries from the core CSF, core WM, and whole brain, 11) regress CSF, WM, six motion parameters, and all temporal derivatives from BOLD data, 12) motion scrubbing of TRs w/ relative motion displacement greater than .5mm or relative BOLD signal intensity change greater than .5% (Power et al., 2012), 13) register BOLD w/ FSL FLIRT to MNI152 average brain with 4mm3 voxel resolution in three stage registration from fMRI > initial T2 structural > MPRAGE > MNI152, 14) Residual BOLD data analyzed w/ spatially constrained spectral clustering method (Craddock et al., 2011) at group level to derive group-level 188 gray matter ROIs, 15) mean timeseries for each ROI correlated with all remaining ROI timeseries’. | |
| Data was accessed from the Nathan Kline Institute (NKI)/Rockland sample, made available by INDI at http://fcon_1000.projects.nitrc.org/indi/pro/nki.html.
Data processing and connectivity matrix derivation is described in more detail in:
The UCLA Multimodal Connectivity Database: A web-based platform for brain connectivity matrix sharing and analysis
Jesse A. Brown, Jeffrey D. Rudie, Anita Bandrowski, John D. Van Horn and Susan Y. Bookheimer
Frontiers in Neuroinformatics 2012. doi: 10.3389/fninf.2012.00028
http://www.frontiersin.org/Neuroinformatics/10.3389/fninf.2012.00028/abstract | |
| 3T | |
| 2500 | |
| 30 | |
| 3x3x3 | |
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