Intersubj_pipeline/bd3335decb34master
Intersubj_pipeline/
bd3335decb34master
/
/
Readme.rtf
Readme.rtf
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\f0\fs24 \cf0 In this repository, you will find all the scripts necessary to leverage the inter-subject functional correlation approach described in Bolton et al. 2019 (JoVE). All graphical user interfaces were last tested on January 21st 2021, and were fully functional on the provided example data.\
\
JOVE_GUI1 enables to perform initial preprocessing steps on the functional data at hand (detrending, regression of nuisance variables), and to display the time courses following these steps.\
\
JOVE_GUI2 enables to perform atlasing into regional time courses, scrubbing and filtering at an appropriate cutoff for the analysis (as a function of the desired window length).\
\
JOVE_GUI3 enables to computes, in sliding window fashion, inter-subject functional correlation (ISFC) estimates. A bootstrapping process is conducted to improve robustness of the outcomes.\
\
JOVE_GUI4 thresholds the ISFC time courses from a naturalistic paradigm of interest, using either resting-state or phase-randomised time courses as null data.\
\
If there is anything unclear left, do not hesitate to contact us at thomas.bolton@epfl.ch for assistance.}
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
{\*\expandedcolortbl;;}
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\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0
\f0\fs24 \cf0 In this repository, you will find all the scripts necessary to leverage the inter-subject functional correlation approach described in Bolton et al. 2019 (JoVE). All graphical user interfaces were last tested on January 21st 2021, and were fully functional on the provided example data.\
\
JOVE_GUI1 enables to perform initial preprocessing steps on the functional data at hand (detrending, regression of nuisance variables), and to display the time courses following these steps.\
\
JOVE_GUI2 enables to perform atlasing into regional time courses, scrubbing and filtering at an appropriate cutoff for the analysis (as a function of the desired window length).\
\
JOVE_GUI3 enables to computes, in sliding window fashion, inter-subject functional correlation (ISFC) estimates. A bootstrapping process is conducted to improve robustness of the outcomes.\
\
JOVE_GUI4 thresholds the ISFC time courses from a naturalistic paradigm of interest, using either resting-state or phase-randomised time courses as null data.\
\
If there is anything unclear left, do not hesitate to contact us at thomas.bolton@epfl.ch for assistance.}
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