UMCD - USC Multimodal Connectivity Database

Id:	2721
Study Name:	NKI_Rockland
Network Name:	2675807_DTI
Atlas:	Craddock 200
Region Names Full File:	file
Region Names Abbrev File:	file
Region Xyz Centers File:	file
Connectivity Matrix File:	file
Imaging Modality:	DTI
Share:	Public
Scanner Device:	Siemens Trio 3T
Scan Parameters:
Age Range Min:	43
Age Range Max:	43
Gender:	Male
Subject Pool:	Normal
Group Size:	1
Preprocessing Notes:	DTI data was corrected for motion and eddy current distortions using FSL eddy_correct. The skull was stripped using FSL BET. Diffusion tensors were estimated using Diffusion Toolkit (http://trackvis.org/blog/tag/diffusion-toolkit/) and tractography was run using the fiber assignment by continuous tracking (FACT) algorithm (Mori and van Zijl, 2002), with an angle threshold of 45 degrees. The fractional anisotropy (FA) map for each subject was registered to the MNI152 average brain in a two-stage registration from FA to MPRAGE using a mutual information cost function and 7 degrees of freedom, then from MPRAGE to MNI152 using a correlation ratio cost function and 12 degrees of freedom. The transformation matrices were combined and inverted. We then registered the 188 ROIs defined from the fMRI data in standard space to each subject’s DTI space. Masks were dilated by one voxel width in order to include the gray/white matter interface, and then thresholded in order to assign each voxel to only the ROI for which it had the highest intensity value (greatest likelihood of membership). For each ROI, all fibers were counted that intersected at least one voxel in the source ROI and at least one voxel in any target ROI using custom code (http://ccn.ucla.edu/wiki/index.php/UCLA_Multimodal_Connectivity_Package). In this way the 188x188 structural CM was obtained.
Funding Source:	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
Mr Field Strength:	3T
Mr Tr:	10000
Mr Te:	91
Mr Voxel Size:	2x2x2
Mr Field Of View:
Fmri Motion Correction:
Fmri Skull Stripping:
Fmri Temporal Filtering:
Fmri Spatial Smoothing:
Fmri Slice Timing Correction:
Fmri Intensity Normalization:
Fmri Epi Unwarping:
Fmri Csf Signal Regression:
Fmri White Matter Signal Regression:
Fmri Global Signal Regression:
Dwmri Num Directions:	64
Dwmri Max B Value:	1000
Dwmri Eddy Correction:
Dwmri Skull Stripping:
Dwmri Deterministic Tractography:
Dwmri Probabilistic Tractography:
Smri Skull Stripping:
Smri Intensity Normalization:

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Last time analyzed:
Number of times downloaded:	1491
Last time downloaded:	2024-05-05 16:15
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