Identification of cortical landmarks based on structural connectivity to subcortical regions. (1st January 2011)

• Record Type: Journal Article
• Authors: Zhang, Degang; Guo, Lei; Hu, Xintao; Li, Kaiming; Zhu, Dajiang; Jiang, Xi; Chen, Hanbo; Deng, Fan; Zhao, Qun; Liu, Tianming
• Is Part Of: International journal of computational biology and drug design. Volume 4:Number 4(2011)
• Page Start: 345
• Page End: 360
• Publication Date: 2011-01-01
• Subjects: cortical surface parcellation -- subcortical regions -- connectivity pattern; Computational biology -- Periodicals; Drugs -- Design -- Periodicals; 570.285
• DOI: 10.1504/IJCBDD.2011.044398
• Languages: English
• ISSNs: 1756-0756

Abstract

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.