Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.

@article{Im2006FractalDI,
  title={Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area.},
  author={Kiho Im and Jong-Min Lee and Uicheul Yoon and Yong-Wook Shin and Soon Beom Hong and In Young Kim and Jun Soo Kwon and Sun Il Kim},
  journal={Human brain mapping},
  year={2006},
  volume={27 12},
  pages={
          994-1003
        }
}
Fractal dimension (FD) has been widely used to provide a quantitative description of structural complexity in the cerebral cortex. FD is an extremely compact measure of shape complexity, condensing all details into a single numeric value. We interpreted the variation of the FD in the cortical surface of normal controls through multiple regression analysis with cortical thickness, sulcal depth, and folding area related to cortical complexity. We used a cortical surface showing a reliable… CONTINUE READING

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