YALE NOTES

176 control subjects. Age range from 8 to 87.

This page was created to keep a running list of notes specific to this dataset. To add notes to this page, just open this page with Netscape Composer and add your notes. This page was created 10/7/03.
Last modified: 5/4/04

The original data can be found in /data/edevel/YALE








Included on this page:
 Naming scheme key
 Processing flowchart
 Measures and Analysis
 Special Notes
 
 

NAMING SCHEME
    avg_305_AIR1ord-         signifies that the file has been taken to 305 space, 12 parameters
    brain-                             skull stripped file
    csf/greyonly-                 mask file for csf or grey respectively
    flip-                               The file has been flipped so that left is in left space and right is in right space (in the original files
                                                    of this dataset, the scans were acquired opposite to this. This was not caught and corrected until later in processing)
    mask-                               binary mask file
    new-                              most recent/correct version of file, should be used
    old-                                older version of file, shouldn't be used unless no new version of file in directory can be found
    reslice-                            registered structural mri scan (dimensions z,y,x 181, 217, 181, steps 1,1,1)
    rf-                                    bias field corrected file
    sag3d-                            original structural mri scan (unrotated, not cleaned)
    seg-                                  segmented structural scan: 1= white matter, 2= gray matter, 3= csf
 

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PROCESSING FLOWCHART

 
 

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MEASURES
    Gray matter density
    Distance from center
    Asymmetrey right vs left
    Thickness measures
    Correlations of age/gender/asym/brain volume/test scores
 
 
 
 
 

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GENERAL
    The original reslice images are in flipped space. Left hemisphere is in right space, right hemisphere is in left space.

10/13/03
    LINE
    Line 16R for subject 106 was drawn incorrectly.

10/03
    THICKNESS
    An error was found where mincmath was incorrectly extracting white matter from the segmented image. Though not completely clear what was the problem, it can be fixed by rerunning the bad subjects again with a larger range for white matter values in the pipeline. The affected subjects are (left hem only): 101 113 115 121 125 139 141 142 147 14 151 152 153 155 159 164 167 175 176 177 178 180 184 195 197 199 19 200 203 204 206 208 209 20 210 212 213 216 22 30 36 39 40 45 51 53 54 57 61 62 63 64 69 74 77 80 87 90 92 96 97
 

9/03
    THICKNESS
    In order to keep the transformations the same between thickness and density, the sameness in the order of the transformations is very important!

    In pipeline, it was found the order of the lists were inconsistent with each other. This was fixed by simply renaming the files to their correct subjectid names. The script can be found here: /loni/edevel/YALE_THICKNESS/SCRIPTS/ERROR_CORRECTION
 

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