Fig 1.

Conceptual illustration of joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks by fusing DICCCOL and HAFNI methods. There are three major steps in this framework: using HAFNI method to derive functional peak foci (Step ①), groupwise registration of those functional foci in a group of subjects (Step ②), and using DICCCOL methods to optimize the initialized landmarks (Step ③) towards their final locations with both functional and structural consistency. Here, two exemplar individual subjects are shown and separate by the dashed blue line. In Step ①, consistent HAFNI networks are coded by corresponding colors in two exemplar subjects. In Step ②, yellow dots on the inflate cortical surfaces represent the HAFNI peak foci for one functional network (pink one). The groupwise registration will be applied on all the ROIs represented by the yellow dots across individual subjects. In Step ①, landmark initialization will be based on the corresponding functional foci (yellow dots) after groupwise registration in Step ②, and landmark optimization will be performed based on the groupwise consistency of structural connectivity patterns.