General
Filename(s) sub-0002_ses-01_task-rest_run-01_meg.meg4
MNE object type RawCTF
Measurement date 1910-10-14 at 12:33:00 UTC
Participant sub-0002
Experimenter mne_anonymize
Acquisition
Duration 00:01:41 (HH:MM:SS)
Sampling frequency 2400.00 Hz
Time points 240,001
Channels
Magnetometers
EOG
ECG
misc
Reference Magnetometers
Head & sensor digitization 6 points
Filters
Highpass 0.00 Hz
Lowpass 1200.00 Hz
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
General
Filename(s) sub-0002_ses-01_task-rest_run-01_meg.meg4
MNE object type RawCTF
Measurement date 1910-10-14 at 12:33:00 UTC
Participant sub-0002
Experimenter mne_anonymize
Acquisition
Duration 00:01:41 (HH:MM:SS)
Sampling frequency 2400.00 Hz
Time points 240,001
Channels
Magnetometers
EOG
ECG
misc
Reference Magnetometers
Head & sensor digitization 6 points
Filters
Highpass 1.00 Hz
Lowpass 40.00 Hz
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
SSP: ECG
Computed using 134 epochs (from 135 original events)
SSP: EOG
Computed using 18 epochs (from 18 original events)
General
MNE object type Epochs
Measurement date 1910-10-14 at 12:33:00 UTC
Participant sub-0002
Experimenter mne_anonymize
Acquisition
Total number of events 9
Events counts rest: 9
Time range 0.000 – 0.500 s
Baseline off
Sampling frequency 2400.00 Hz
Time points 1,201
Metadata No metadata set
Channels
Magnetometers
EOG
ECG
misc
Reference Magnetometers
Head & sensor digitization 6 points
Filters
Highpass 1.00 Hz
Lowpass 40.00 Hz
ERF image (Magnetometers)
No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 9 epochs (4.5 s).
General
Filename(s) sub-0002_ses-01_task-rest_run-01_proc-filt_raw.fif
MNE object type Raw
Measurement date 1910-10-14 at 12:33:00 UTC
Participant sub-0002
Experimenter mne_anonymize
Acquisition
Duration 00:01:41 (HH:MM:SS)
Sampling frequency 2400.00 Hz
Time points 240,001
Channels
Magnetometers
EOG
ECG
misc
Reference Magnetometers
Head & sensor digitization 6 points
Filters
Highpass 1.00 Hz
Lowpass 40.00 Hz
Projections axial-ECG--0.500-0.500)-PCA-01 (off)
axial-EOG--0.500-0.500)-PCA-01 (off)
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
{}
General
Filename(s) sub-0002_ses-01_task-rest_proc-ssp_epo.fif
MNE object type EpochsFIF
Measurement date 1910-10-14 at 12:33:00 UTC
Participant sub-0002
Experimenter mne_anonymize
Acquisition
Total number of events 9
Events counts rest: 9
Time range 0.000 – 0.500 s
Baseline off
Sampling frequency 2400.00 Hz
Time points 1,201
Metadata No metadata set
Channels
Magnetometers
EOG
ECG
misc
Reference Magnetometers
Head & sensor digitization 6 points
Filters
Highpass 1.00 Hz
Lowpass 40.00 Hz
Projections axial-ECG--0.500-0.500)-PCA-01 (on)
axial-EOG--0.500-0.500)-PCA-01 (on)
ERF image (Magnetometers)
No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 9 epochs (4.5 s).
TFR Power: rest
TFR Power: rest
TFR ITC: rest
TFR Inter-Trial Coherence: rest
Covariance matrix
Singular values 
  """OMEGA Resting State Sample Data."""

import numpy as np

bids_root = "~/mne_data/ds000247"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000247"

subjects = ["0002"]
sessions = ["01"]
task = "rest"
task_is_rest = True

crop_runs = (0, 100)  # to speed up computations

ch_types = ["meg"]
spatial_filter = "ssp"

l_freq = 1.0
h_freq = 40.0

rest_epochs_duration = 10
rest_epochs_overlap = 0

epochs_tmin = 0
baseline = None

time_frequency_conditions = ["rest"]
time_frequency_freq_min = 1.0
time_frequency_freq_max = 30.0
time_frequency_cycles = np.arange(time_frequency_freq_min, time_frequency_freq_max) / 4
time_frequency_subtract_evoked = True


  Platform             Linux-5.15.0-1077-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               68.6 GiB

Core
├☑ mne               1.10.0.dev67+gbe27cf8dd (devel, latest release is 1.9.0)
├☑ numpy             2.1.3 (OpenBLAS 0.3.27 with 2 threads)
├☑ scipy             1.15.2
└☑ matplotlib        3.10.1 (backend=agg)

Numerical (optional)
├☑ sklearn           1.6.1
├☑ numba             0.61.0
├☑ nibabel           5.3.2
├☑ pandas            2.2.3
├☑ h5io              0.2.4
├☑ h5py              3.13.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.44.2 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.3 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.2
├☑ vtk               9.3.1
├☑ qtpy              2.4.3 (PyQt6=6.8.2)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.17.0.dev32+g3a25345
├☑ mne-bids-pipeline 1.10.0.dev68+gb995b51
├☑ edfio             0.4.6
├☑ pybv              0.7.6
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, eeglabio, mffpy