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@@ -12,12 +12,36 @@ if (basename(here::here()) == "highspeed"){
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## Feature selection: Anatomical masks
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-#### Creating binary masks using `highspeed-masks.py`
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+### Overview
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+
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+As described in the paper, we used a feature selection approach that combined binarized anatomical ROIs with functional ROIs based on first-level GLMs.
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+
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+#### Data availability
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+
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+The data is freely available from https://github.com/lnnrtwttkhn/highspeed-masks and https://gin.g-node.org/lnnrtwttkhn/highspeed-masks.
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+
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+#### License
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+
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+The dataset is licensed under Creative Commons Attribution-ShareAlike 4.0.
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+Please see https://creativecommons.org/licenses/by-sa/4.0/ for details.
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+
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+### Creating binary anatomical masks using `highspeed-masks.py`
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+
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+We created binarized anatomical masks of occipito-temporal cortex and hippocampus based on the participant-specific Freesurfer parcellation using a Nipype workflow:
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```{python, echo=TRUE, code=readLines(file.path(path_root, "code", "masks", "highspeed-masks.py")), eval=FALSE, python.reticulate=FALSE}
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```
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-#### Plotting masked data using `highspeed-masks-plot.py`
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+### Plotting masked data using `highspeed-masks-plot.py`
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+
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+We generated some plots of the data using the following code:
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```{python, echo=TRUE, code=readLines(file.path(path_root, "code", "masks", "highspeed-masks-plot.py")), eval=FALSE, python.reticulate=FALSE}
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```
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+
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+### Software: Required packages
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+
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+The `requirements.txt` file lists the required packages which can be installed e.g., using `pip install -r requirements.txt`
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+
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+```{bash, echo=TRUE, code=readLines(file.path(path_root, "requirements.txt")), eval=FALSE}
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+```
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