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How is the functional connectomes represented by 116-by-116 matrices obtained? #1

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cnuzh opened this issue Aug 16, 2021 · 4 comments

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@cnuzh
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cnuzh commented Aug 16, 2021

Hello, how to obtain the functional connectomes represented by 116-by-116 matrices from the data in http://preprocessed-connectomes-project.org/abide/?
In other words, how to get data that can be used as GNN input? The paper does not explain how the matrix of 116 times 116 is obtained.

@basiralab
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Hi there,

You can directly download the data from:
http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

Thanks for pointing this out. We will add also this link to the paper.

@cnuzh
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cnuzh commented Aug 16, 2021

Hi,what are the processing operations required for the data downloaded from this link to be directly used for training GNN?

@basiralab
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No further processing of the data. You just get the connectivity matrices directly by downloading them.

@basiralab
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However, we replaced all negative values in the connectivity matrices with zeros. This is a commonly adopted approach in functional brain connectivity analysis studies.

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