sub-02

Data quality data-quality raw

Bad channels raw data-quality

Bad channels marked in original data:

None

Raw (original) data-quality raw

Info raw data-quality

	General
	Filename(s)	sub-emptyroom_ses-20120907_task-noise_meg.fif
	MNE object type	Raw
	Measurement date	2012-09-07 at 01:41:02 UTC
	Participant	sub-emptyroom
	Experimenter	mne_anonymize
	Acquisition
	Duration	00:04:26 (HH:MM:SS)
	Sampling frequency	1000.00 Hz
	Time points	266,000
	Channels
	Magnetometers
	Gradiometers
	EEG
	EOG
	ECG
	misc
	Stimulus
	Head & sensor digitization	193 points
	Filters
	Highpass	0.03 Hz
	Lowpass	330.00 Hz
	Projections	mag_ssp.fif : PCA-v1 (off) mag_ssp.fif : PCA-v2 (off) mag_ssp.fif : PCA-v3 (off) mag_ssp.fif : PCA-v4 (off) mag_ssp.fif : PCA-v5 (off) mag_ssp.fif : PCA-v6 (off) mag_ssp.fif : PCA-v7 (off) mag_ssp.fif : PCA-v8 (off) mag_ssp.fif : PCA-v9 (off) grad_ssp.fif : PCA-v1 (off) grad_ssp.fif : PCA-v2 (off) grad_ssp.fif : PCA-v3 (off) grad_ssp.fif : PCA-v4 (off) grad_ssp.fif : PCA-v5 (off) grad_ssp.fif : PCA-v6 (off)

Time series raw data-quality

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PSD raw data-quality

Raw (maxwell filtered) raw sss

Info raw sss

	General
	Filename(s)	sub-emptyroom_ses-20120907_task-noise_meg.fif
	MNE object type	Raw
	Measurement date	2012-09-07 at 01:41:02 UTC
	Participant	sub-emptyroom
	Experimenter	mne_anonymize
	Acquisition
	Duration	00:04:26 (HH:MM:SS)
	Sampling frequency	1000.00 Hz
	Time points	266,000
	Channels
	Magnetometers
	Gradiometers
	Head & sensor digitization	132 points
	Filters
	Highpass	0.03 Hz
	Lowpass	330.00 Hz

Time series raw sss

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PSD raw sss

Raw (filtered) filtered raw

Info raw filtered

	General
	Filename(s)	sub-02_task-noise_proc-sss_raw.fif
	MNE object type	Raw
	Measurement date	2012-09-07 at 01:41:02 UTC
	Participant	sub-emptyroom
	Experimenter	mne_anonymize
	Acquisition
	Duration	00:04:26 (HH:MM:SS)
	Sampling frequency	1000.00 Hz
	Time points	266,000
	Channels
	Magnetometers
	Gradiometers
	Head & sensor digitization	132 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz

Time series raw filtered

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PSD raw filtered

SSP: ECG ssp ecg

SSP: EOG ssp eog

Events events

Epochs (before cleaning) epochs

Info epochs

	General
	MNE object type	Epochs
	Measurement date	2012-09-07 at 01:33:05 UTC
	Participant	sub-02
	Experimenter	mne_anonymize
	Acquisition
	Total number of events	56
	Events counts	auditory/standard: 23 visual/standard: 33
	Time range	-0.200 – 0.500 s
	Baseline	off
	Sampling frequency	200.00 Hz
	Time points	141
	Metadata	56 rows × 5 columns
	Channels
	Magnetometers
	Gradiometers
	EEG
	EOG
	ECG
	misc
	Stimulus
	Head & sensor digitization	193 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz
	Projections	Average EEG reference (off)

Metadata epochs

Epoch #	event_name	auditory/standard	visual/standard
0	auditory/standard	0.000
1	auditory/standard	0.000
2	visual/standard		0.000
3	visual/standard		0.000
4	auditory/standard	0.000
5	visual/standard		0.000
6	visual/standard		0.000
7	auditory/standard	0.000
8	visual/standard		0.000
9	auditory/standard	0.000
10	visual/standard		0.000
11	auditory/standard	0.000
12	auditory/standard	0.000
13	visual/standard		0.000
14	auditory/standard	0.000
15	visual/standard		0.000
16	visual/standard		0.000
17	visual/standard		0.000
18	visual/standard		0.000
19	visual/standard		0.000
20	visual/standard		0.000
21	visual/standard		0.000
22	auditory/standard	0.000
23	auditory/standard	0.000
24	auditory/standard	0.000
25	visual/standard		0.000
26	visual/standard		0.000
27	auditory/standard	0.000
28	visual/standard		0.000
29	auditory/standard	0.000
30	visual/standard		0.000
31	visual/standard		0.000
32	visual/standard		0.000
33	auditory/standard	0.000
34	auditory/standard	0.000
35	auditory/standard	0.000
36	auditory/standard	0.000
37	visual/standard		0.000
38	auditory/standard	0.000
39	visual/standard		0.000
40	visual/standard		0.000
41	visual/standard		0.000
42	auditory/standard	0.000
43	auditory/standard	0.000
44	auditory/standard	0.000
45	visual/standard		0.000
46	visual/standard		0.000
47	visual/standard		0.000
48	visual/standard		0.000
49	auditory/standard	0.000
50	visual/standard		0.000
51	visual/standard		0.000
52	visual/standard		0.000
53	visual/standard		0.000
54	visual/standard		0.000
55	auditory/standard	0.000

56 rows × 6 columns

ERF image (Magnetometers) epochs

ERF image (Gradiometers) epochs

ERP image (EEG) epochs

Drop log epochs

No epochs exceeded the rejection thresholds. Nothing was dropped.

PSD epochs

Raw (clean) clean raw

Info raw clean

	General
	Filename(s)	sub-02_task-noise_proc-filt_raw.fif
	MNE object type	Raw
	Measurement date	2012-09-07 at 01:41:02 UTC
	Participant	sub-emptyroom
	Experimenter	mne_anonymize
	Acquisition
	Duration	00:04:26 (HH:MM:SS)
	Sampling frequency	1000.00 Hz
	Time points	266,000
	Channels
	Magnetometers
	Gradiometers
	Head & sensor digitization	132 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz
	Projections	meg-ECG--0.500-0.500)-PCA-01 (off) meg-EOG--0.500-0.500)-PCA-01 (off) eeg-EOG--0.500-0.500)-PCA-01 (off) eeg-EOG--0.500-0.500)-PCA-02 (off)

Time series raw clean

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PSD raw clean

Epochs (clean) clean epochs

Rejection thresholds epochs clean

{}

Info epochs clean

	General
	Filename(s)	sub-02_task-funloc_proc-ssp_epo.fif
	MNE object type	EpochsFIF
	Measurement date	2012-09-07 at 01:33:05 UTC
	Participant	sub-02
	Experimenter	mne_anonymize
	Acquisition
	Total number of events	56
	Events counts	auditory/standard: 23 visual/standard: 33
	Time range	-0.200 – 0.500 s
	Baseline	-0.200 – 0.000 s
	Sampling frequency	200.00 Hz
	Time points	141
	Metadata	56 rows × 5 columns
	Channels
	Magnetometers
	Gradiometers
	EEG
	EOG
	ECG
	misc
	Stimulus
	Head & sensor digitization	193 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz
	Projections	Average EEG reference (on) meg-ECG--0.500-0.500)-PCA-01 (on) meg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-02 (on)

Metadata epochs clean

Epoch #	event_name	auditory/deviant	auditory/standard	visual/deviant	visual/standard
0	auditory/standard	None	0.000	None
1	auditory/standard	None	0.000	None
2	visual/standard	None		None	0.000
3	visual/standard	None		None	0.000
4	auditory/standard	None	0.000	None
5	visual/standard	None		None	0.000
6	visual/standard	None		None	0.000
7	auditory/standard	None	0.000	None
8	visual/standard	None		None	0.000
9	auditory/standard	None	0.000	None
10	visual/standard	None		None	0.000
11	auditory/standard	None	0.000	None
12	auditory/standard	None	0.000	None
13	visual/standard	None		None	0.000
14	auditory/standard	None	0.000	None
15	visual/standard	None		None	0.000
16	visual/standard	None		None	0.000
17	visual/standard	None		None	0.000
18	visual/standard	None		None	0.000
19	visual/standard	None		None	0.000
20	visual/standard	None		None	0.000
21	visual/standard	None		None	0.000
22	auditory/standard	None	0.000	None
23	auditory/standard	None	0.000	None
24	auditory/standard	None	0.000	None
25	visual/standard	None		None	0.000
26	visual/standard	None		None	0.000
27	auditory/standard	None	0.000	None
28	visual/standard	None		None	0.000
29	auditory/standard	None	0.000	None
30	visual/standard	None		None	0.000
31	visual/standard	None		None	0.000
32	visual/standard	None		None	0.000
33	auditory/standard	None	0.000	None
34	auditory/standard	None	0.000	None
35	auditory/standard	None	0.000	None
36	auditory/standard	None	0.000	None
37	visual/standard	None		None	0.000
38	auditory/standard	None	0.000	None
39	visual/standard	None		None	0.000
40	visual/standard	None		None	0.000
41	visual/standard	None		None	0.000
42	auditory/standard	None	0.000	None
43	auditory/standard	None	0.000	None
44	auditory/standard	None	0.000	None
45	visual/standard	None		None	0.000
46	visual/standard	None		None	0.000
47	visual/standard	None		None	0.000
48	visual/standard	None		None	0.000
49	auditory/standard	None	0.000	None
50	visual/standard	None		None	0.000
51	visual/standard	None		None	0.000
52	visual/standard	None		None	0.000
53	visual/standard	None		None	0.000
54	visual/standard	None		None	0.000
55	auditory/standard	None	0.000	None

56 rows × 6 columns

ERF image (Magnetometers) epochs clean

ERF image (Gradiometers) epochs clean

ERP image (EEG) epochs clean

Drop log epochs clean

No epochs exceeded the rejection thresholds. Nothing was dropped.

PSD epochs clean

Condition: auditory/standard auditory/standard evoked

Info evoked auditory/standard

	General
	MNE object type	EvokedArray
	Measurement date	2012-09-07 at 01:33:05 UTC
	Participant	sub-02
	Experimenter	mne_anonymize
	Acquisition
	Aggregation	average of 23 epochs
	Condition	auditory/standard
	Time range	-0.200 – 0.500 s
	Baseline	-0.200 – 0.000 s
	Sampling frequency	200.00 Hz
	Time points	141
	Channels
	Magnetometers
	Gradiometers
	EEG
	Head & sensor digitization	193 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz
	Projections	Average EEG reference (on) meg-ECG--0.500-0.500)-PCA-01 (on) meg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-02 (on)

Time course (Magnetometers) evoked auditory/standard

Time course (Gradiometers) evoked auditory/standard

Time course (EEG) evoked auditory/standard

Topographies evoked auditory/standard

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Global field power evoked auditory/standard

Condition: visual/standard evoked visual/standard

Info evoked visual/standard

	General
	MNE object type	EvokedArray
	Measurement date	2012-09-07 at 01:33:05 UTC
	Participant	sub-02
	Experimenter	mne_anonymize
	Acquisition
	Aggregation	average of 33 epochs
	Condition	visual/standard
	Time range	-0.200 – 0.500 s
	Baseline	-0.200 – 0.000 s
	Sampling frequency	200.00 Hz
	Time points	141
	Channels
	Magnetometers
	Gradiometers
	EEG
	Head & sensor digitization	193 points
	Filters
	Highpass	0.03 Hz
	Lowpass	50.00 Hz
	Projections	Average EEG reference (on) meg-ECG--0.500-0.500)-PCA-01 (on) meg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-01 (on) eeg-EOG--0.500-0.500)-PCA-02 (on)

Time course (Magnetometers) evoked visual/standard

Time course (Gradiometers) evoked visual/standard

Time course (EEG) evoked visual/standard

Topographies evoked visual/standard

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Global field power evoked visual/standard

Noise covariance auditory/standard covariance evoked visual/standard

Rank covariance

{'meg': 69, 'eeg': 57}

Covariance matrix covariance

Singular values covariance

Whitening: auditory/standard evoked covariance auditory/standard

Whitening: visual/standard evoked covariance visual/standard

BEM bem

axial bem

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sagittal bem

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coronal bem

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Sensor alignment coregistration

Forward solution forward-solution

	Forward
	Magnetometers
	Gradiometers
	EEG
	Source space	Surface with 7248 vertices
	Source orientation	Free

Source: auditory/standard source-estimate auditory/standard auditory/standard

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Source: visual/standard source-estimate visual/standard visual/standard

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Pipeline flow pipeline-flow

Configuration file configuration

  """osf.io: Funloc data.

See [OSF](https://osf.io/download/upj3h) for more information.
"""

from pathlib import Path

data_root = Path("~/mne_data").expanduser().resolve()
bids_root = data_root / "MNE-funloc-data"
deriv_root = data_root / "derivatives" / "mne-bids-pipeline" / "MNE-funloc-data"
subjects_dir = bids_root / "derivatives" / "freesurfer" / "subjects"
task = "funloc"
ch_types = ["meg", "eeg"]
data_type = "meg"

# filter
l_freq = None
h_freq = 50.0
# maxfilter
use_maxwell_filter: bool = True
crop_runs = (40, 190)
mf_st_duration = 60.0
# SSP
spatial_filter = "ssp"
process_raw_clean = False
ssp_ecg_channel = {"sub-01": "MEG0111", "sub-02": None}
n_proj_eog = dict(n_mag=1, n_grad=1, n_eeg=2)
n_proj_ecg = dict(n_mag=1, n_grad=1, n_eeg=0)


eog_channels = {"default": None, "sub-02": ["EOG061"]}

# Epochs
epochs_tmin = -0.2
epochs_tmax = 0.5
epochs_decim = 5  # 1000 -> 200 Hz
baseline = (None, 0)
conditions = [
    "auditory/standard",
    # "auditory/deviant",
    "visual/standard",
    # "visual/deviant",
]
decoding_time = False
cov_rank = dict(tol_kind="relative", tol=1e-4)

# contrasts
# contrasts = [("auditory", "visual")]

System information mne-sysinfo

  Platform             Linux-7.0.0-1009-aws-x86_64-with-glibc2.39 (X11)
Python               3.14.5 (main, May 12 2026, 13:13:59) [GCC 13.3.0]
Executable           /home/circleci/.pyenv/versions/3.14.5/bin/python3.14
CPU                  Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory               8.0 GiB

Core
├☑ mne               1.13.0.dev294+ga0eb9250f (development, latest release is 1.12.1)
├☑ numpy             2.5.2 (OpenBLAS 0.3.34.0.0 with 2 threads via pthreads)
├☑ scipy             1.18.1
└☑ matplotlib        3.11.1 (backend=agg)

Numerical (optional)
├☑ scikit-learn      1.9.0
├☑ threadpoolctl     3.6.0
├☑ numba             0.67.0
├☑ nibabel           5.4.2
├☑ pandas            3.0.5
├☑ h5io              0.2.5
├☑ h5py              3.16.0
└☐ unavailable       nilearn, dipy, openmeeg, python-picard, cupy

Visualization (optional)
├☑ pyvista           0.48.4 (OpenGL 4.5 (Core Profile) Mesa 25.2.8-0ubuntu0.24.04.2 via llvmpipe (LLVM 20.1.2, 256 bits))
├☑ pyvistaqt         0.12.0
├☑ vtk               9.6.2
├☑ qtpy              2.4.3 (PySide6=6.11.2)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.20.0.dev34+g25f78ddf4
├☑ mne-icalabel      0.9.0
├☑ mne-bids-pipeline 1.11.0.dev68+g1c2c2d8b2
├☑ autoreject        0.5.0.dev5+gb4e218e6
├☑ eeglabio          0.1.3
├☑ edfio             0.4.16
├☑ curryreader       0.1.2
├☑ mffpy             0.11.0
├☑ pybv              0.8.1
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, neo, pymef, antio

Table of contents