1. Automated Amygdala Surface Modeling Pipeline
Moo K. Chung
Department of Biostatistics and Medical Informatics
Waisman Laboratory for Brain Imaging and Behavior
University of Wisconsin-Madison
*Matlab-based image processing/analysis/visualization tools

2. Acknowledgments
Brendon, M. Nacewicz, Anqi Qiu, Shubing Wang, Kim M. Dalton, Jamie Hanson, Seth Pollak, Richard J. Davidson
Waisman laboratory for brain imaging and behavior
University of Wisconsin-Madison

3. Amygdala manual segmentation
Left amygdala of subject 001
FreeSurfer can be used to automatically segment amygdala and hippocampus. Publications coming out in NeuroImage using FreeSurfer segmentation.

4. Traditional Volumetry
There is no volume difference in autism vs. control
(study 1 (n=24) + study 3 (n=23) combined):
Left (p=0.64)
Right (p=0.81)
Can we still have localized difference?

5. Step1 3D model of left amygdala of subject 001
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Orientation
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back
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middle

6. 3D model of left amygdala of subject 001
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top
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bottom
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bottom
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front
back
back

7. Spherical coordinate system for amygdala surface
Step 2
Spherical coordinate system for amygdala surface
Analysis & surface registration will be done on a sphere and the result will be back projected onto the average amygdala surface.

8. Hotelling’s T-square test on group difference
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Right
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Origami representation

9. Keith Worsley’s SurfStat MATLAB package
Testing Group difference controlling for Brain size and Age
slm = SurfStatLinMod(disp, Brain + Age + Group,avsurf);
slm = SurfStatT(slm, group);
>pvalue = [ ]
>threshold=randomfield_threshold(slm, pvalue)
pvalue =
threshold =
Corrected P-value thresholding using the random field theory

10. Significance of group difference controlling for Brain size and Age
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3.7
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Max T =
Random field thresholding at 0.05 level =
Max T =
Random field thresholding at 0.05 level =
T-stat.