Background

We obtained a group-level auditory cortex (AC) mask, deriving from the combination region of the manually delineated individualized planum temporale (PT) and Heschl’s gyrus (HG). We calculated the individual variability in the resting-state functional connectivity (rsFC) of the group AC and applied the spectral clustering algorithm based on this variability, resulting in four subregions for both left and right ACs. We also demonstrated the functional specialization of each subregion.

Clustering results with different gammas

The final AC subregions

The parameters for the final AC subregions are set as follows:

• n_cluster = 4
• eigen_solver = ‘arpack’
• n_components = 4
• random_state = 0
• gamma = 0.001
• affinity = ‘rbf’
• assign_labels = ‘discretize’
• Other parameters are set as default.

The AC atlas files are in the folder:

• fsLR32k: ~/bin/AC-Altas/fs_LR32k
• MNI152-2mm: ~/bin/AC-Altas/MNI152
• The label value 1,2,3,and 4 in these files represent the "Cluster1", "Cluster2","Cluster3" and "Cluster4", respectively.

Reference

Luo, J., Qin, P., Bi, Q., Wu, K., & Gong, G. (2024). Individual variability in functional connectivity of human auditory cortex. Cerebral Cortex, bhae007.

Bugs and Questions

Please contact Junhao Luo at [email protected] and Gaolang Gong at [email protected].