Intersubject correlation (ISC) measures the extent of BOLD response similarity or synchronization between two subjects who are scanned under the same experience such as movie watching, music learning, etc. The new program 3dISC (available in the next AFNI release) performs voxelwise analysis at the population level with linear mixed-effects (LME) modeling that is laid out in the following paper:

Chen, G., Taylor, P.A., Shin, Y.W., Reynolds, R.C., Cox, R.W., 2017. Untangling the Relatedness among Correlations, Part II: Inter-Subject Correlation Group Analysis through Linear Mixed-Effects Modeling. Neuroimage 147:825-840.

The LME platform allows for the incorporation of various types of explanatory variables including categorical (between- and within-subject factors) and quantitative variables (e.g., age, behavioral data). The details of running 3dISC can be found in the help

3dISC -help

A few demonstrative examples are shown in the help as well.

Any suggestions and feedback are welcome!



Edited 1 time(s). Last edit at 08/01/2019 11:53AM by Gang.