Group comparison of cortical fiber connectivity map: An application between post-stroke patients and healthy subjects
Publication in refereed journal


摘要Structural connectome measurement combined with diffusion magnetic resonance imaging (MRI) and tractography allows generation of a whole-brain connectome. However, current cortical structural connectivity (SC) measurements have not been well combined with the vertex-wise multi-subjects statistical analysis. The aim of this study was to examine the feasibility of using group comparison vertex-wise analysis for cortical SC measurement. A fiber connectivity density (FiCD) method based on a combination of a diffusion fiber tracking technique and cortical surface-based analysis was used to measure the whole-brain cortical SC map (FiCD map). A public MRI data set (GigaDB) was employed to evaluate the reproducibility of the FiCD method. For group comparison, 14 post-stroke patients (mean age, 68.36 +/- 7.33 y) and 19 healthy participants (mean age, 66.84 +/- 8.58 y) had FiCD measurement. The intergroup comparison of the FiCD map was performed using vertex-wise multi-subject statistical analysis. Reliability testing showed the mean intra-and inter-subject FiCD variability was 3.51 +/- 2.12% and 19.44 +/- 4.79%, respectively. The group comparison of the whole-brain FiCD identified cortical regions with altered FiCD values, and there was a spatial consistency between the cortical clusters with low FiCD values and the subcortical lesions of patients. This study demonstrated the feasibility of vertex-wise group comparison for evaluating cortical fiber connectivity density. The FiCD method has good intra-and inter-individual reproducibility, and accurately reflects the affected cortical regions in post-stroke patients. This method may be helpful for neuroscience research.
著者Kai Liu, Teng Zhang, Winnie CW Chu, Vincent CT Mok, Defeng Wang, Lin Shi
頁次15 - 24
關鍵詞cortex,connectome,fiber connectivity map,vertex-wise statistical analysis
Web of Science 學科類別Neurosciences;Neurosciences & Neurology

上次更新時間 2021-18-09 於 23:46