Statistical Sulcal Shape Comparisons: Application to the Detection of Genetic Encoding of the Central Sulcus Shape

@article{Goualher2000StatisticalSS,
  title={Statistical Sulcal Shape Comparisons: Application to the Detection of Genetic Encoding of the Central Sulcus Shape},
  author={Georges Le Goualher and A. M. Argenti and Michel Duyme and William F. C. Baar{\'e} and Alan C. Evans},
  journal={NeuroImage},
  year={2000},
  volume={11},
  pages={564-574}
}
Principal Component Analysis allows a quantitative description of shape variability with a restricted number of parameters (or modes) which can be used to quantify the difference between two shapes through the computation of a modal distance. A statistical test can then be applied to this set of measurements in order to detect a statistically significant difference between two groups. We have applied this methodology to highlight evidence of genetic encoding of the shape of neuroanatomical… 

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