Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL)

• Published in: IEEE transactions on biomedical engineering Vol. 62; no. 4; pp. 1108 - 1119
• Main Authors: Jiang, Xi, Guo, Lei, Liu, Tianming, Zhang, Tuo, Zhu, Dajiang, Li, Kaiming, Chen, Hanbo, Lv, Jinglei, Hu, Xintao, Han, Junwei, Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2015
• Subjects: anatomy; Brain - anatomy & histology; Brain Mapping - methods; Brain modeling; Cortical landmarks; Databases, Factual; Diffusion tensor imaging; Diffusion Tensor Imaging - methods; DTI; Educational institutions; fMRI; Humans; Magnetic Resonance Imaging - methods; Nerve Net - anatomy & histology; Optimization; Sociology; structural connectivity; Surface morphology; Testing; DTI; structural connectivity; cortical landmarks; fMRI; Anatomy
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.2014.2369491

Establishment of structural and functional correspondences of human brain that can be quantitatively encoded and reproduced across different subjects and populations is one of the key issues in brain mapping. As an attempt to address this challenge, our recently developed Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOL) system reported 358 connectional landmarks, each of which possesses consistent DTI-derived white matter fiber connection pattern that is reproducible in over 240 healthy brains. However, the DICCCOL system can be substantially improved by integrating anatomical and morphological information during landmark initialization and optimization procedures. In this paper, we present a novel anatomy-guided landmark discovery framework that defines and optimizes landmarks via integrating rich anatomical, morphological, and fiber connectional information for landmark initialization, group-wise optimization and prediction, which are formulated and solved as an energy minimization problem. The framework finally determined 555 consistent connectional landmarks. Validation studies demonstrated that the 555 landmarks are reproducible, predictable, and exhibited reasonably accurate anatomical, connectional, and functional correspondences across individuals and populations and thus are named anatomy-guided DICCCOL or A-DICCCOL. This A-DICCCOL system represents common cortical architectures with anatomical, connectional, and functional correspondences across different subjects and would potentially provide opportunities for various applications in brain science.