DS007181#

Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia

Access recordings and metadata through EEGDash.

Citation: Li Li, Qi Han, Haolei Bai, Xiaolong Zhang, Yong Liu, Chao He (2026). Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia. 10.18112/openneuro.ds007181.v1.0.1

Modality: eeg Subjects: 66 Recordings: 467 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS007181

dataset = DS007181(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS007181(cache_dir="./data", subject="01")

Advanced query

dataset = DS007181(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

for rec in dataset:
    print(rec.subject, rec.raw.info['sfreq'])

If you use this dataset in your research, please cite the original authors.

BibTeX

@dataset{ds007181,
  title = {Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia},
  author = {Li Li and Qi Han and Haolei Bai and Xiaolong Zhang and Yong Liu and Chao He},
  doi = {10.18112/openneuro.ds007181.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds007181.v1.0.1},
}

About This Dataset#

Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia

Summary This dataset includes anatomical T1-weighted MRI and raw multi-echo resting-state fMRI, as well as PSG data from a study investigating the difference between healthy controls (HC) and zoster-associated neuralgia (ZAN) patients. MRI and PSG data were partially overlapping across participants. Participants with available data in at least one modality were included in the dataset, following the BIDS specification.

  • For project code and full analysis pipelines (including between-subject comparisons, functional connectivity analyses, and correlation-based statistical modeling), see: project-zan-neuro_

View full README

Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia

Summary This dataset includes anatomical T1-weighted MRI and raw multi-echo resting-state fMRI, as well as PSG data from a study investigating the difference between healthy controls (HC) and zoster-associated neuralgia (ZAN) patients. MRI and PSG data were partially overlapping across participants. Participants with available data in at least one modality were included in the dataset, following the BIDS specification.

  • For project code and full analysis pipelines (including between-subject comparisons, functional connectivity analyses, and correlation-based statistical modeling), see: project-zan-neuro_

Participants - 29 healthy adults (HC) and 27 zoster-associated neuralgia adults (ZAN) for MRI data. - 32 healthy adults and 27 zoster-associated neuralgia adults for PSG data. - See participants.tsv for sex, age, group (HC vs. ZAN)

Tasks - Functional scans are resting-state.

What’s included - sub-*/anat/

  • Defaced T1w MRI: sub-XX_T1w.nii.gz (+ JSON sidecar if available).

  • sub-*/func/ - Raw multi-echo BOLD: sub-XX_task-rest_bold.nii.gz.

  • sub-*/eeg/ - Defaced T1w MRI: sub-XX_task-sleep_acq-PSG_eeg.edf, sub-XX_task-sleep_acq-PSG_channels.tsv, sub-XX_task-sleep_acq-PSG_events.tsv.

  • Top-level: participants.tsv, task-rest_bold.json, README.md.

Notes on data quality & privacy - T1w images were defaced prior to sharing. - Functional files are raw (converted with dcm2niix); files with SPM-style prefixes (r/w/y/s*) were excluded. - Sleep stages were manually scored based on polysomnography (PSG) data according to the criteria of the American Academy of Sleep Medicine (AASM). Sleep staging followed the standard AASM classification system, including Wake (W), Non-REM stages N1, N2, N3, and Rapid Eye Movement (REM) sleep. Stage N3 corresponds to slow-wave sleep as defined in the AASM manual; no separate N4 stage was used. - EEG signals were recorded with reference to linked mastoids (M1/M2), and channel names reflect the referenced configuration (e.g., Fp1–M2).

Folder conventions (BIDS)

zan/
  sub-01/
    anat/sub-01_T1w.nii.gz
    func/sub-01_task-rest_bold.nii.gz
  sub-02/
    anat/sub-02_T1w.nii.gz
    func/sub-02_task-rest_bold.nii.gz
    eeg/ sub-02_task-sleep_acq-PSG_eeg.edf
  sub-03/ ...

How to cite These data are associated with a manuscript currently under revision. Please cite the dataset DOI when using these data.

Contacts - Haolei Bai — ellebai83@gmail.com

(You may also contact the corresponding author from the manuscript.)

License This dataset is shared under **CC0**.

Dataset Information#

Dataset ID

DS007181

Title

Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia

Year

2026

Authors

Li Li, Qi Han, Haolei Bai, Xiaolong Zhang, Yong Liu, Chao He

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds007181.v1.0.1

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds007181,
  title = {Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia},
  author = {Li Li and Qi Han and Haolei Bai and Xiaolong Zhang and Yong Liu and Chao He},
  doi = {10.18112/openneuro.ds007181.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds007181.v1.0.1},
}

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

Technical Details#

Subjects & recordings

  • Subjects: 66

  • Recordings: 467

  • Tasks: 2

Channels & sampling rate

  • Channels: 24

  • Sampling rate (Hz): 1024.0

  • Duration (hours): 0.0

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: 59.2 GB

  • File count: 467

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds007181.v1.0.1

Provenance

API Reference#

Use the DS007181 class to access this dataset programmatically.

class eegdash.dataset.DS007181(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds007181. Modality: eeg. Subjects: 59; recordings: 59; tasks: 1.

Parameters:

  • cache_dir (str | Path) – Directory where data are cached locally.

  • query (dict | None) – Additional MongoDB-style filters to AND with the dataset selection. Must not contain the key dataset.

  • s3_bucket (str | None) – Base S3 bucket used to locate the data.

  • **kwargs (dict) – Additional keyword arguments forwarded to EEGDashDataset.

data_dir#

Local dataset cache directory (cache_dir / dataset_id).

Type:

Path

query#

Merged query with the dataset filter applied.

Type:

dict

records#

Metadata records used to build the dataset, if pre-fetched.

Type:

list[dict] | None

Notes

Each item is a recording; recording-level metadata are available via dataset.description. query supports MongoDB-style filters on fields in ALLOWED_QUERY_FIELDS and is combined with the dataset filter. Dataset-specific caveats are not provided in the summary metadata.

References

OpenNeuro dataset: https://openneuro.org/datasets/ds007181 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds007181

Examples

>>> from eegdash.dataset import DS007181
>>> dataset = DS007181(cache_dir="./data")
>>> recording = dataset[0]
>>> raw = recording.load()
__init__(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#
save(path, overwrite=False)[source]#

Save the dataset to disk.

Parameters:

  • path (str or Path) – Destination file path.

  • overwrite (bool, default False) – If True, overwrite existing file.

Return type:

None

See Also#