Study workflow
Neurology follows a left-to-right research flow. You can revisit earlier steps at any time; cohort views depend on uploaded datasets with assigned group labels.
Create study → Upload datasets → Run pipelines → Assign groups → Cohort analysis → Interpret / Runs
Dashboard — area home
The neurology dashboard (/areas/neurology/dashboard) shows recent studies and links to create a new study.
Readiness signal: at least one study with one uploaded dataset and one completed pipeline run.
Study home — project overview
The study page (/areas/neurology/studies/{id}) is your project hub:
- Upload dataset — connectivity matrix, EEG, or fMRI file
- Datasets list — open any dataset workspace
- Subjects — imported cohort metadata (when present)
- Cohort analysis — available when datasets have group labels
- Runs — run history table for the study (status, pipeline type, timestamps)
Dataset workspace — analyze and explore
Each dataset opens at /areas/neurology/studies/{id}/datasets/{dsid}. Available pipelines depend on modality:
| Modality | Typical sequence |
|---|---|
| Connectivity matrix | Graph metrics → visualize → (cohort) NBS |
| EEG | Preprocess EEG → EEG features → graph metrics on connectivity → microstates / TFR / source localize |
| fMRI | BIDS validate → functional connectivity → dynamic FC → graph metrics |
See Dataset workspace.
Cohort analysis — group comparison
Navigate to Cohort analysis (/areas/neurology/studies/{id}/cohort):
- Assign group labels to connectivity matrix datasets
- Run Batch graph metrics across the cohort
- Launch NBS when two or more groups exist
- Compare group-level graph metric summaries
- Interpret cohort or NBS results
See Subjects and cohorts.
Runs — history and reporting
The runs page (/areas/neurology/studies/{id}/runs) lists every pipeline run for the study with status, pipeline type, and timestamps, and lets you delete a run. /areas/neurology/studies/{id}/report redirects to the shared, cross-area report composer, where you can pull neurology plots (alongside other areas) into one document.
Typical paths
| Study type | Path |
|---|---|
| Precomputed connectome | Upload matrix → graph metrics → heatmap / 3D view → interpret |
| Resting-state fMRI cohort | Upload NIfTI per subject → FC → assign groups → NBS → interpret |
| EEG connectivity | Upload EDF → preprocess → features → graph metrics on PLV matrix |
| Multimodal subject | Link EEG + matrix datasets via subject metadata → cross-modal report |