[hcp-users] Connectomics Questions

[Glasser, Matthew]

I am renaming this thread because it is a separate question that had nothing to do with the message that it was in reply to.  

Which dataset are you asking about?

Matt.

From: mawaffak ing <mawaff...@gmail.com>
Date: Monday, June 15, 2026 at 5:21 AM
To: hcp-...@humanconnectome.org <hcp-...@humanconnectome.org>
Subject: Re: [hcp-users] fmri concatenated data vs separate packages

Hello,

I am conducting a mathematical and connectomics-oriented study focused on identifying subject-invariant and longitudinally stable properties of functional brain connectivity networks.

To avoid making assumptions about preprocessing choices or derived measures, I would like to work as close as possible to the original connectivity representations used in HCP-related analyses.

If available, I would greatly appreciate access to any of the following for a small number of subjects:

1. Functional connectivity matrices (FC), correlation matrices, or pconn files.

2. Resting-state fMRI time series (dtseries or equivalent).

3. Information about the atlas/parcellation used (Glasser, Schaefer, AAL, etc.).

4. Details of the preprocessing pipeline:

   - Pearson vs partial correlation

   - Global signal regression (if applied)

   - Motion correction procedures

   - ICA-FIX or related denoising steps

5. Longitudinal or retest data for the same subjects, if available.

6. Any documentation describing how FC matrices were generated from the original fMRI recordings.

My interest is primarily in spectral, geometric, topological, and graph-theoretic analyses of connectivity structure rather than classification or predictive modeling.

Even a small sample dataset would be extremely valuable for validating the mathematical framework.

Thank you very much for your time and assistance.

Best regards

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[Elam, Jennifer]

Hi Mawaffak,

I'm responding on this new thread to keep the subjects separate. If the HCA/AABC data will work for what you are doing, take a look at the connectivity IDPs in CSV format using the Glasser 2016 HCP-MMP1.0 parcellation for the HCA/AABC project on BALSA: https://balsa.wustl.edu/project?project=AABC2. After registering/login (requires an institutional email), go to the Files tab and browse the different options/descriptions.

Currently the only way to download from BALSA is through imaging packages (e.g. Resting state preprocessed recommended or Concatenated preprocessed recommended), rather than individual files, but you can set the filters in the Subject ID and Event column or using the Save Custom Subject Group button) in the "Selected Subjects" section to limit to one subject. These filters also apply to the imaging packages that you can queue for download. Alternatively, you can just click on the link for a particular SubjectID_Event and download from that particular session page (e.g. https://balsa.wustl.edu/subject/xL09l).

Best,

Jenn

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From: 'Glasser, Matthew' via HCP-Users <hcp-...@humanconnectome.org>
Sent: Monday, June 15, 2026 10:32 AM
To: hcp-...@humanconnectome.org <hcp-...@humanconnectome.org>
Subject: [hcp-users] Connectomics Questions

 

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[mawaffak ing]

Thank you, Doctor. I will try and come back to see you again, and I am very grateful to you