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A surface-based fractal information dimension method for cortical complexity analysis

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机构: [1]Department of Mathematics, Zhejiang University, Hangzhou 310027, People’s Republic of China [2]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, People’s Republic of China [3]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, People’s Republic of China
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关键词: fractal dimension blind information dimension occipital lobe cortical complexity cortical surface

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In this paper, we proposed a new surface-based fractal information dimension (FID) method to quantify the cortical complexity. Unlike the traditional box-counting method to measure the capacity dimension, our method is a surface-based fractal information dimension method, which incorporates surface area into the probability calculation and thus encapsulates more information of the original cortical surfaces. The accuracy of the algorithm was validated via experiments on phantoms. With the proposed method, we studied the abnormalities of the cortical complexity of the early blind (EB; n=15), compared with matched controls (n=15). We found significantly increased FIDs in the left occipital lobe and decreased FIDs in the right frontal and right parietal lobe in early blind compared with controls. The results demonstrated the potential of the proposed method for identifying cortical abnormalities.

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第一作者机构: [1]Department of Mathematics, Zhejiang University, Hangzhou 310027, People’s Republic of China [2]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, People’s Republic of China
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