2009 Christine McLeavey & Jessica Tsang: Difference between revisions
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== Shift FA in Group 1 == | == Shift FA in Group 1 == | ||
[[File:Hypothetical_FA_Shift_arcuate. | [[File:Hypothetical_FA_Shift_arcuate.png |300px|thumb|center| Hypothetical Shift (Arcuate) ]] | ||
[[File:Hypothetical_FA_Shift_occipital. | [[File:Hypothetical_FA_Shift_occipital.png |300px|thumb|center| Hypothetical Shift (Occipital) ]] | ||
== TBSS Analysis == | == TBSS Analysis == | ||
Revision as of 22:20, 9 December 2009
Back to Psych 204 Projects 2009
Testing the Ability of TBSS to Detect Tract Variations Between Groups
TBSS is a popular program [1] for exploring anatomical connectivity in the brain by analyzing anisotropic diffusion of water in white matter tracts. In this project, we create an artificial difference between the diffusion patterns of two otherwise similar groups, and determine TBSS's ability to find this difference.
Background
Tract-Based Spatial Statistics
Tracts of Interest
We consider the Arcuate tract to be the more difficult one for TBSS, as there are several other tracts in the neighbourhood that can potentially confuse tract assignment.
Occipital Tract
Arcuate Tract
Methods
Assignment of kids into two groups
Cleaning Occipital Tract Data
Occipital tract data was opened using MrDiffusion, and then tracts pushed into CINCH for easier viewing.
Tracts were cleaned according to the following principles (and records kept describing the cleaning for each individual brain):
1. Thin tracts clearly not connected to a main tract were removed.
2. Tracts that did not begin and end in the right plane were removed.
3. Tracts that crossed the midline more than once were removed.
4. Tracts that looped into other quadrants of the brain were removed.
Mean FA Histograms
Shift FA in Group 1
TBSS Analysis
Results
TBSS Mean Skeleton
Statistics
Figure:Arcuate_results.gif Figure:Occipital_results.gif
Trouble Shooting
Conclusions
Here is where you say what your results mean.
References
[1] Smith, Steven M. et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 31 (2006) 1487-1505.
Appendix I - Code and Data
Code
Data
Appendix II - Work partition
Christine is new to fMRI work and did much of the brunt work - she divided the kids into two groups and showed the groups to be well matched statistically. She did the cleaning of the occipital tracts for each of the 55 kids and wrote the wiki page. Jessica provided the brains and experience and devised the way to reduce the FA in the tracts of one group, ran the results through TBSS, ran statistics on those results, and generally taught Christine the ropes.