automated amygdala surface modeling pipeline
DESCRIPTION
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 www.stat.wisc.edu/~mchung/research/amygdala*. - PowerPoint PPT PresentationTRANSCRIPT
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Automated Amygdala Surface Modeling Pipeline
Moo K. Chung
Department of Biostatistics and Medical InformaticsWaisman Laboratory for Brain Imaging and Behavior
University of Wisconsin-Madison
www.stat.wisc.edu/~mchung/research/amygdala*
*Matlab-based image processing/analysis/visualization tools
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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
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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.
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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?
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Step1
3D model of left amygdala of subject 001
left
front middle
top
bottom
back
Orientation
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front
3D model of left amygdala of subject 001
back
left
middle backfront left
middle
top
bottom
top
bottom
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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.
Step 2
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Left Rightfront
back
middleleft
Hotelling’s T-square test on group difference
Origami representation
rightmiddle
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Keith Worsley’s SurfStat MATLAB package
slm = SurfStatLinMod(disp, Brain + Age + Group,avsurf);slm = SurfStatT(slm, group);
Testing Group difference controlling for Brain size and Age
>pvalue = [0.001 0.005 0.01 0.05 0.1]>threshold=randomfield_threshold(slm, pvalue)
pvalue = 0.0010 0.0050 0.0100 0.0500 0.1000
threshold = 6.8058 6.2154 5.9564 5.3398 5.0635
Corrected P-value thresholding using the random field theory
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Left Rightfront
back
middleleft rightmiddle
T-stat.
0
Max T = 3.7970Random field thresholding at 0.05 level = 5.3398
3.7
Max T = 3.6687Random field thresholding at 0.05 level = 5.3200
Significance of group difference controlling for Brain size and Age