Zhang Degang, Guo Lei, Hu Xintao, Li Kaiming, Zhu Dajiang, Jiang Xi, Chen Hanbo, Deng Fan, Zhao Qun, Liu Tianming
Northwestern Polytechnical University, Xi'an, China.
Int J Comput Biol Drug Des. 2011;4(4):345-60. doi: 10.1504/IJCBDD.2011.044398. Epub 2011 Dec 24.
Quantitative assessment of structural connectivities between cortical and subcortical regions has been of increasing interest in recent years. This paper proposes an algorithmic pipeline for identification of reliable cortical landmarks based on the consistent structural connectivity patterns between cortical and subcortical regions. Our experimental results of eight healthy subjects show that reliable and meaningful cortical landmarks can be extracted by using our approaches. Furthermore, subcortical regions can serve as reliable reference points for the identification of consistent corresponding cortical regions across individuals.
近年来，对皮质和皮质下区域之间结构连通性的定量评估越来越受到关注。本文提出了一种算法流程，用于基于皮质和皮质下区域之间一致的结构连通性模式来识别可靠的皮质地标。我们对八名健康受试者的实验结果表明，使用我们的方法可以提取出可靠且有意义的皮质地标。此外，皮质下区域可以作为可靠的参考点，用于识别个体间一致的相应皮质区域。
