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version (4.04 KB) by Daniele Mascali
Fastconn computes seed-based Functional Connectivity on resting-state fMRI data


Updated 14 Feb 2017

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fastconn(EPI,SEED,OUTPUT_NAME) computes seed-based Functional Connectivity
on resting-state data, EPI, extracting the reference time-course from
the SEED volume. The function produces two output volumes:
1) r-map: a Pearson correlation map
2) z-map: z-Fisher transformed r-map.
Output maps will have the prefix OUTPUT_NAME.

Both EPI and SEED can be path of NIfTI files (.nii or .hdr; in this case SPM is required) or
can be 4-d and 3-d matrices, respectively, preloaded with an other toolbox.

Cite As

Daniele Mascali (2020). fastconn(epi,seed,output_name) (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)


Faster algorithm.

updated description

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux