Name
Abstract | ||
|---|---|---|
The new hybrid-BCI-DNI atlas is a high-resolution MPRAGE, single-subject atlas, constructed using both anatomical and functional information to guide the parcellation of the cerebral cortex. Anatomical labeling was performed manually on coronal single-slice images guided by sulcal and gyral landmarks to generate the original (non-hybrid) BCI-DNI atlas. Functional sub-parcellations of the gyral ROIs were then generated from 40 minimally preprocessed resting fMRI datasets from the HCP database. Gyral ROIs were transferred from the BCI-DNI atlas to the 40 subjects using the HCP grayordinate space as a reference. For each subject, each gyral ROI was subdivided using the fMRI data by applying spectral clustering to a similarity matrix computed from the fMRI time-series correlations between each vertex pair. The sub-parcellations were then transferred back to the original cortical mesh to create the subparcellated hBCI-DNI atlas with a total of 67 cortical regions per hemisphere. To assess the stability of the gyral subdivisons, a separate set of 60 HCP datasets were processed as follows: 1) coregistration of the structural scans to the hBCI-DNI atlas; 2) coregistration of the anatomical BCI-DNI atlas without functional subdivisions, followed by sub-parcellation of each subject's resting fMRI data as described above. We then computed consistency between the anatomically-driven delineation of each gyral subdivision and that obtained per subject using individual fMRI data. The gyral sub-parcellations generated by atlas-based registration show variable but generally good overlap of the confidence intervals with the resting fMRI-based subdivisions. These consistency measures will provide a quantitative measure of reliability of each subdivision to users of the atlas. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/12.2254681 | Proceedings of SPIE |
Keywords | Field | DocType |
Brain,Atlas,MRI,fMRI,Parcellation | Computer vision,Spectral clustering,Brain atlas,Functional magnetic resonance imaging,Computer science,Atlas (anatomy),Artificial intelligence,Similarity matrix | Conference |
Volume | ISSN | Citations |
10133 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 5 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anand Joshi | 1 | 235 | 23.06 |
| Soyoung Choi | 2 | 17 | 2.43 |
| Gaurav Sonkar | 3 | 0 | 0.34 |
| Minqi Chong | 4 | 9 | 1.95 |
| Jorge Gonzalez-Martinez | 5 | 22 | 6.07 |
| Dileep Nair | 6 | 1 | 0.69 |
| David W. Shattuck | 7 | 722 | 56.26 |
| H Damasio | 8 | 146 | 14.24 |
| Richard M Leahy | 9 | 1768 | 295.29 |