Dear Matt,

Thank you for your quick response.

Would that mean matrix G is derived from minimally preprocessed data?

If so, how can I reconstruct G from minimally preprocessed data?

Thank you,
Sang

On Fri, May 12, 2017 at 1:55 PM Glasser, Matthew <[email protected]> wrote:

> Steve Smith would have generated that matrix.  I would have been after
> running ICA+FIX, which would remove linear trends, 24 movement regressors
> and ICA noise component timeseries.
>
> The matrix would have been made with FSLNets.
>
> Peace,
>
> Matt.
>
> From: <[email protected]> on behalf of Sang-Yun Oh <
> [email protected]>
> Date: Saturday, May 13, 2017 at 5:38 AM
> To: "[email protected]" <[email protected]>
> Subject: [HCP-Users] Replicating "Resting-state fMRI in the Human
> Connectome Project"
>
> Dear HCP users,
>
> I am new to this area and I would like to do a replication exercise to
> learn more about HCP dataset and neuroscience tools.
>
> What would be the simplest way to get my hands on matrix G (Figure 2) in
> this paper? https://doi.org/10.1016/j.neuroimage.2013.05.039 I would
> imagine G is after regressing out any motion and white matter signals (is
> this true?)
>
> I tried to read the supplemental material; however, it was very complex
> and way over my head.
>
> Is there a script available for computing G from HCP released data that a
> newbie like me can use?
>
> I would appreciate any guidance
>
> Best,
> Sang
>
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