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README.md

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 # System Segregation (graph measure) scripts in R and Matlab
 
-Scripts useful for doing Resting-state Functiaonl Correlation (RSFC) network analysis
+Scripts useful for doing Resting-state Functional Correlation (RSFC) network analysis
 
 **./matlab_scripts**
 *  `fsLR2roizmatrix.m` - extract mean RSFC time-series from ROIs on fs_LR surfaces, outputs correlation matrix. 
-*  `mat2cytoscape.m`  - convert correlation matrix to 3-column format used for visulization in Cytoscape.
+*  `mat2cytoscape.m`  - convert correlation matrix to 3-column format used for visualization in Cytoscape.
 *  `segregation.m`  -  calculates system segregation (Chan et al. 2014). 
 *  `segregation_systype.m`  -  calculates segregation of specific system types (e.g., Sensory-motor, Association). This allows smaller systems to contribute more to the overall segregation value of that system type. This was how system-type segregation was calculated in Chan et al. (2014). 
 *  ./export/ - includes scripts to save node-x-node matrix as figures.
 
 **./R_scripts**
 *  `segregation.R`  -  calculates system segregation (Chan et al. 2014). 
 *  `segregation_by_type_prcont.R`  -  calculates segregation of specific system types (e.g., Sensory-motor, Association), and letting system of different sizes to contribute proportionally based on their size (# of nodes). This is a similar method to `segregation.R` for whole brain system segregation. 
-*  `segregation_by_type_prcont.R`  -  calculates segregation of specific system types (e.g., Sensory-motor, Association), but first averaging within/between system connectivity for each individaul system. This allows smaller systems to contribute more to the overall segregation value of that system type. This was how system-type segregation was calculated in Chan et al. (2014). 
+*  `segregation_by_type_prcont.R`  -  calculates segregation of specific system types (e.g., Sensory-motor, Association), but first averaging within/between system connectivity for each individual system. This allows smaller systems to contribute more to the overall segregation value of that system type. This was how system-type segregation was calculated in Chan et al. (2014). 
 *  for visualization of matrices and networks in R, see other repository [r-for-brain-network](https://github.com/mychan24/r-for-brain-network)