Gradient Biotech

Sample data

If you don't have your own connectivity matrix or imaging data yet, use these to try the workflow before uploading real study data.

A minimal connectivity matrix

Neurology accepts a square, symmetric numeric matrix as CSV. Save the following as a .csv file to test the upload and graph-metrics workflow:

0,1,0,1,0
1,0,1,0,0
0,1,0,1,1
1,0,1,0,1
0,0,1,1,0

This is a tiny 5×5 binary undirected matrix — enough to test upload and Compute graph metrics, but too small to be a realistic result. For a more representative test, use a larger matrix (e.g. 50-100 regions) from a public atlas-based connectivity dataset.

EEG sample data

Public EEG datasets — for example from OpenNeuro — can be downloaded in EDF or BIDS format directly from your browser and uploaded to a neurology study.

fMRI sample data

Preprocessed resting-state NIfTI files (for example from public fMRIPrep or FSL output releases) work directly. BIDS datasets can be zipped and uploaded as-is.

Suggested first walkthrough

  1. Create a neurology study (connectivity matrix modality)
  2. Upload the minimal matrix above, or a real connectivity matrix
  3. Run Compute graph metrics → explore the heatmap and network graph
  4. Upload a second matrix, assign group labels
  5. Run Batch graph metrics and Network-Based Statistics (NBS) from the cohort page

See Quick start for the full walkthrough, and File formats for exact format requirements per modality.