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Alternatively, you can install the mtrf manually from Brainstorm directly. For that, go to Plug-ins > Statistics > mtrf. Or, the plugin will install automatically once you call one of the processes for the first time. | Alternatively, you can install the mtrf manually from Brainstorm directly. For that, go to Plug-ins > Statistics > mtrf. Or, the plugin will install automatically once you call the process for the first time. |
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Once this is done, the recordings will have appeared in a new file. Some recordings will be labeled as bad and therefore needs to be handled. Right-click on the file and select 'Accept Trial'. {{attachment:Screenshot 2024-07-18 at 2.04.18 PM.png||width="80%"}} |
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== Plotting the TRF == This first process can be used to plot the TRF for a specific channel, given by the user. 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. |
Once this is done, the recordings will have appeared in a new file. Some recordings will be labeled as bad and therefore need to be handled. Right-click on the file and select 'Accept Trial'. |
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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. | {{attachment:Screenshot 2024-07-18 at 2.04.18 PM.png|Screenshot 2024-07-18 at 2.04.18 PM.png|width="80%"}} |
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You may decide to save the computed TRF for future reference or further analysis. Navigate back to 'Process1', select 'Run', then choose 'Save Temporal Response Function weights'. | In order to start your TRF analysis, you will need to run the 'Temporal Response Function Analysis' process. First, drag the imported file in the 'Process1' box. Click 'Run', then select 'Encoding' > 'Temporal Response Function Analysis'. || {{attachment:Screenshot 2024-07-18 at 2.09.04 PM.png|Screenshot 2024-07-18 at 2.09.04 PM.png}} || {{attachment:Screenshot 2024-07-18 at 2.09.17 PM.png|Screenshot 2024-07-18 at 2.09.17 PM.png}} || |
Multivariate Temporal Response Function
Authors: Anna Zaidi, Raymundo Cassani
This tutorial will host the steps to use the mTRF-Toolbox in Brainstorm. ...
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.
Alternatively, you can install the mtrf manually from Brainstorm directly. For that, go to Plug-ins > Statistics > mtrf. Or, the plugin will install automatically once you call the process for the first time.
Preparing the data
Using the Introduction dataset, you will first need to import the entire recordings for whichever run you want to study into your database. Right-click on the raw file, and then 'Import in database'.
Once this is done, the recordings will have appeared in a new file. Some recordings will be labeled as bad and therefore need to be handled. Right-click on the file and select 'Accept Trial'.
Saving the TRF weights
In order to start your TRF analysis, you will need to run the 'Temporal Response Function Analysis' process. First, drag the imported file in the 'Process1' box. Click 'Run', then select 'Encoding' > 'Temporal Response Function Analysis'.
Execute this process to save the TRF data into your Brainstorm database, as a matrix containing the weights between stimulus and response data.