| General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_eeg.edf | |
| MNE object type | RawEDF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Duration | 00:04:00 (HH:MM:SS) | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 245,760 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 512.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_eeg.edf | |
| MNE object type | RawEDF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Duration | 00:04:00 (HH:MM:SS) | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 245,760 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| MNE object type | Epochs | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Total number of events | 22 | |
| Events counts | rest: 22 | |
| Time range | 0.000 – 10.000 s | |
| Baseline | off | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 10,241 | |
| Metadata | No metadata set | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (off) | |
      No epochs exceeded the rejection thresholds. Nothing was dropped.
    
  {}
    | General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_epo.fif | |
| MNE object type | EpochsFIF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Total number of events | 22 | |
| Events counts | rest: 22 | |
| Time range | 0.000 – 10.000 s | |
| Baseline | off | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 10,241 | |
| Metadata | No metadata set | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (on) | |
      No epochs exceeded the rejection thresholds. Nothing was dropped.
    
  
  """SRM Resting-state EEG."""
bids_root = "~/mne_data/ds003775"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds003775"
# To get all subjects for example:
# from mne_bids import get_entity_vals
# subjects = sorted(get_entity_vals(bids_root, entity_key='subject'))
subjects = ["010"]
reader_extra_params = {"units": "uV"}
sessions = ["t1"]
run_source_estimation = False
ch_types = ["eeg"]
baseline = None
reject = None
spatial_filter = None
h_freq = 40
l_freq = None
task = "resteyesc"
task_is_rest = True
epochs_tmin = 0.0
epochs_tmax = 10.0
rest_epochs_overlap = 0.0
rest_epochs_duration = 10.0
baseline = None
parallel_backend = "loky"
dask_open_dashboard = True
log_level = "info"
n_jobs = 1
    
  Platform             Linux-6.8.0-1039-aws-x86_64-with-glibc2.35
Python               3.12.4 (main, Jun  8 2024, 23:40:19) [GCC 11.4.0]
Executable           /home/circleci/.pyenv/versions/3.12.4/bin/python3.12
CPU                  Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory               4.0 GiB
Core
├☑ mne               1.11.0.dev90+ge50d56542 (development, latest release is 1.10.2)
├☑ numpy             2.3.4 (OpenBLAS 0.3.30 with 2 threads)
├☑ scipy             1.16.2
└☑ matplotlib        3.10.7 (backend=agg)
Numerical (optional)
├☑ sklearn           1.7.2
├☑ numba             0.62.1
├☑ nibabel           5.3.2
├☑ pandas            2.3.3
├☑ h5io              0.2.5
├☑ h5py              3.15.1
└☐ unavailable       nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista           0.46.3 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.3 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.3
├☑ vtk               9.5.2
├☑ qtpy              2.4.3 (PyQt6=6.10.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids          0.18.0.dev23+g982570293
├☑ mne-bids-pipeline 1.10.0.dev113+gfd73224c5
├☑ eeglabio          0.1.2
├☑ edfio             0.4.10
├☑ pybv              0.7.6
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy, antio