open-discussion > SPHARM support for longitudinal analyses
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Jun 11, 2015 07:06 PM | Lara Foland-Ross - Stanford University
SPHARM support for longitudinal analyses
Hello,
Can you tell me whether there is currently supported code for longitudinal analyses in SPHARM-PDM?
Many thanks,
Lara
Can you tell me whether there is currently supported code for longitudinal analyses in SPHARM-PDM?
Many thanks,
Lara
Jun 12, 2015 05:06 PM | Martin Styner
RE: SPHARM support for longitudinal analyses
Not directly. You could do the following (none of these are
straightforward):
- Using MeshMath, one can create difference maps (either as vector fields, or as magnitudes mapped onto the local surface normal) between timepoints and analyze those via the old StatNonParamTestPDM (which would though not allow you to include covariates)
I think this is what we did for Schobel SA, Chaudhury NH, Khan UA, Paniagua B, Styner M, Asllani I, et al. Imaging patients with psychosis and a mouse model establishes a spreading pattern of hippocampal dysfunction and implicates glutamate as a driver. Neuron. 2013 Apr 10;78(1):81–93. PMCID: PMC3966570
- Using the medial axis information, you could use FADDTS (available in NITRC) to analyze the change in thickness across time
- You could use pointwise ANOVA analysis in R to analyze scalar difference (between timepoints) maps, which is what we did for Maltbie E, Bhatt K, Paniagua B, Smith RG, Graves MM, Mosconi MW, et al. Asymmetric bias in user guided segmentations of brain structures. NeuroImage. 2012 Jan 16;59(2):1315–23. PMCID: PMC3230681
Martin
- Using MeshMath, one can create difference maps (either as vector fields, or as magnitudes mapped onto the local surface normal) between timepoints and analyze those via the old StatNonParamTestPDM (which would though not allow you to include covariates)
I think this is what we did for Schobel SA, Chaudhury NH, Khan UA, Paniagua B, Styner M, Asllani I, et al. Imaging patients with psychosis and a mouse model establishes a spreading pattern of hippocampal dysfunction and implicates glutamate as a driver. Neuron. 2013 Apr 10;78(1):81–93. PMCID: PMC3966570
- Using the medial axis information, you could use FADDTS (available in NITRC) to analyze the change in thickness across time
- You could use pointwise ANOVA analysis in R to analyze scalar difference (between timepoints) maps, which is what we did for Maltbie E, Bhatt K, Paniagua B, Smith RG, Graves MM, Mosconi MW, et al. Asymmetric bias in user guided segmentations of brain structures. NeuroImage. 2012 Jan 16;59(2):1315–23. PMCID: PMC3230681
Martin