nm000464 NEMAR-native dataset
Vanderbilt BIEN Lab Peri-ictal Dynamics Data (Makhoul et al. 2025): per-seizure SEEG partial directed coherence and imaginary coherence
A derivative BIDS-iEEG dataset of per-seizure connectivity results computed from stereo-EEG (SEEG) recordings of patients with drug-resistant epilepsy at Vanderbilt University Medical Center. It provides partial directed coherence and imaginary coherence for peri-ictal windows, with seizure-onset and propagation zone labels, across 994 connectivity files and 708 seizures. The data support analysis of how interictal suppressive networks collapse and permit seizure spread.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.
Files
How to use the data (for agentic research) license, citation, download commands
What it is
- Modalities
- IEEG
- Participants
- 78
- Size
- 1.63 TB
- Tasks
- periictal
License and terms
- License
- CC-BY-NC-SA-4.0
- Note
- Non-commercial use only (CC-BY-NC-SA-4.0).
- Recommended citation
- Makhoul, G., Wang, K., & Englot, D. (2026). Vanderbilt BIEN Lab Peri-ictal Dynamics Data (Makhoul et al. 2025): per-seizure SEEG partial directed coherence and imaginary coherence (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000464
Where the bytes are
- Latest version (always current)
- https://data.nemar.org/nm000464/latest/
- This version (v1.0.0)
- https://data.nemar.org/nm000464/v1.0.0/
How to download
- The dataset
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nemar dataset download nm000464Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing. - A subset, one step
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nemar dataset download nm000464 --subjects sub-01,02Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude. - A subset, step 1
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nemar dataset clone nm000464Clones git-annex pointers only; fetches no file content. Creates ./nm000464. - A subset, step 2
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cd nm000464The get command below reads the clone's annex, so it only works from inside the clone. - A subset, step 3
-
nemar dataset get <files>Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them. - One small file
- https://data.nemar.org/nm000464/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.
Assess fit without downloading
- Participants table
- https://data.nemar.org/nm000464/v1.0.0/participants.tsv
- Dataset description
- https://data.nemar.org/nm000464/v1.0.0/dataset_description.json
- Directory listing
- https://data.nemar.org/nm000464/v1.0.0/?format=json
- Catalog record
- https://api.nemar.org/datasets/nm000464