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| This tutorial will host the steps to use the [[https://github.com/mickcrosse/mTRF-Toolbox|mTRF-Toolbox]] in Brainstorm | This tutorial will host the steps to use the [[https://github.com/mickcrosse/mTRF-Toolbox|mTRF-Toolbox]] in Brainstorm. ... |
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| This tutorial introduces the Temporal Response Function (TRF) analysis within the Brainstorm environment, employing the mTRF Toolbox. TRF analysis is instrumental in delineating the dynamics of the brain's response to continuous stimuli, such as speech and music, providing insights into the underlying neural mechanisms. == Install mTRF-Toolbox == In order to use the process files required for TRF analysis, you will need to download the [[https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2016.00604/full|mTRF toolbox]]. First, visit the [[https://github.com/mickcrosse/mTRF-Toolbox.git|mTRF Toolbox GitHub]] page to download the latest version of the toolbox. Click the "Code" button and extract the downloaded zip file into a directory that MATLAB can access. Then, open MATLAB and add the toolbox to your MATLAB path using the addpath function. This ensures MATLAB recognizes the toolbox commands. |
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| == Install mTRF-Toolbox == | == Preparing the data == == Plotting the TRF == Drag the EEG/MEG file in the command tab. Select the 'Run' button, then choose 'Plot Temporal Response Function (TRF)'. You will need to set several parameters for the TRF analysis. Specify the data file for the stimulus, indicate the EEG or MEG channels for response analysis, set the range of time lags to explore, and confirm the sampling rate to ensure temporal accuracy. Run the TRF plotting script. Brainstorm computes the TRF and displays it, showing the estimated neural response function over your specified time lags for a chosen channel. |
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| == Computing TRF == | == Saving the TRF weights == |
Brain-fingerprinting
Authors: Anna Zaidi, Raymundo Cassani
This tutorial will host the steps to use the mTRF-Toolbox in Brainstorm. ...
Contents
Introduction
This tutorial introduces the Temporal Response Function (TRF) analysis within the Brainstorm environment, employing the mTRF Toolbox. TRF analysis is instrumental in delineating the dynamics of the brain's response to continuous stimuli, such as speech and music, providing insights into the underlying neural mechanisms.
Install mTRF-Toolbox
In order to use the process files required for TRF analysis, you will need to download the mTRF toolbox.
First, visit the mTRF Toolbox GitHub page to download the latest version of the toolbox. Click the "Code" button and extract the downloaded zip file into a directory that MATLAB can access.
Then, open MATLAB and add the toolbox to your MATLAB path using the addpath function. This ensures MATLAB recognizes the toolbox commands.
Preparing the data
Plotting the TRF
Drag the EEG/MEG file in the command tab. Select the 'Run' button, then choose 'Plot Temporal Response Function (TRF)'. You will need to set several parameters for the TRF analysis. Specify the data file for the stimulus, indicate the EEG or MEG channels for response analysis, set the range of time lags to explore, and confirm the sampling rate to ensure temporal accuracy.
Run the TRF plotting script. Brainstorm computes the TRF and displays it, showing the estimated neural response function over your specified time lags for a chosen channel.