sub-0001, task-AEF

Raw (original), run '01' data-quality raw run-01

Info raw run-01 data-quality

General

Measurement date	January 01, 1925 09:43:00 GMT
Experimenter	EAB
Participant	sub-0001

Channels

Digitized points	8 points
Good channels	3 Stimulus, 32 misc, 26 Reference Magnetometers, 274 Magnetometers, 5 EEG
Bad channels	None
EOG channels	Not available
ECG channels	Not available

Data

Sampling frequency	2400.00 Hz
Highpass	0.00 Hz
Lowpass	1200.00 Hz
Filenames	sub-0001_task-AEF_run-01_meg.meg4
Duration	00:05:60 (HH:MM:SS)

Time series raw run-01 data-quality

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Raw (filtered), run '01' filtered raw run-01

Info raw run-01 filtered

General

Measurement date	January 01, 1925 09:43:00 GMT
Experimenter	EAB
Participant	sub-0001

Channels

Digitized points	8 points
Good channels	3 Stimulus, 32 misc, 26 Reference Magnetometers, 274 Magnetometers, 2 EEG, 1 ECG, 2 EOG
Bad channels	None
EOG channels	VEOG, HEOG
ECG channels	ECG

Data

Sampling frequency	2400.00 Hz
Highpass	0.30 Hz
Lowpass	100.00 Hz
Filenames	sub-0001_task-AEF_run-01_meg.meg4
Duration	00:02:00 (HH:MM:SS)

Time series raw run-01 filtered

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Events events

Epochs: before cleaning epochs

Info epochs

Number of events	107
Events	button: 16 deviant: 15 standard: 76
Time range	-0.200 – 0.500 s
Baseline	off

Metadata epochs

Epoch #	event_name	button	deviant	standard
0	button	0.000		0.044
1	standard	-0.044		0.000
2	standard			0.000
3	standard			0.000
4	standard			0.000
5	standard			0.000
6	standard			0.000
7	standard			0.000
8	standard			0.000
9	standard			0.000
10	standard			0.000
11	deviant	0.402	0.000
12	button	0.000
13	button	-0.018
14	standard			0.000
15	deviant		0.000
16	standard			0.000
17	standard			0.000
18	standard			0.000
19	standard			0.000
20	deviant	0.363	0.000
21	button	0.000
22	standard			0.000
23	standard			0.000
24	deviant		0.000
25	button	0.000
26	standard			0.000
27	standard			0.000
28	standard			0.000
29	standard			0.000
30	standard			0.000
31	standard			0.000
32	standard			0.000
33	standard			0.000
34	standard			0.000
35	standard			0.000
36	standard			0.000
37	deviant	0.450	0.000
38	button	0.000
39	standard			0.000
40	standard			0.000
41	standard			0.000
42	standard			0.000
43	standard			0.000
44	deviant	0.403	0.000
45	button	0.000
46	standard			0.000
47	standard			0.000
48	standard			0.000
49	standard			0.000
50	standard			0.000
51	deviant	0.449	0.000
52	button	0.000		0.484
53	standard			0.000
54	standard			0.000
55	deviant		0.000
56	button	0.000
57	standard			0.000
58	standard			0.000
59	standard			0.000
60	standard			0.000
61	standard			0.000
62	standard			0.000
63	standard			0.000
64	standard			0.000
65	standard			0.000
66	standard			0.000
67	deviant	0.490	0.000
68	deviant	0.489	-0.000
69	button	0.000
70	standard			0.000
71	standard			0.000
72	standard			0.000
73	standard			0.000
74	deviant		0.000
75	button	0.000
76	standard			0.000
77	standard			0.000
78	standard			0.000
79	deviant	0.432	0.000
80	button	0.000		0.385
81	button	-0.036		0.348
82	standard			0.000
83	standard			0.000
84	standard			0.000
85	deviant		0.000
86	button	0.000
87	standard			0.000
88	standard			0.000
89	standard			0.000
90	standard			0.000
91	standard			0.000
92	standard			0.000
93	standard			0.000
94	standard			0.000
95	deviant		0.000
96	button	0.000
97	standard			0.000
98	standard			0.000
99	standard			0.000
100	standard			0.000
101	deviant	0.449	0.000
102	button	0.000
103	standard			0.000
104	standard			0.000
105	standard			0.000
106	standard			0.000

107 rows × 5 columns

ERF image (Magnetometers) epochs

ERP image (EEG) epochs

Drop log epochs

No epochs exceeded the rejection thresholds. Nothing was dropped.

PSD epochs

Epochs: after cleaning clean epochs

Rejection thresholds epochs clean

{'mag': 4e-12, 'eog': 0.00025}

Info epochs clean

Number of events	101
Events	button: 15 deviant: 15 standard: 71
Time range	-0.200 – 0.500 s
Baseline	-0.200 – 0.000 s

Metadata epochs clean

Epoch #	event_name	button	deviant	standard
0	button	0.000		0.044
1	standard	-0.044		0.000
2	standard			0.000
3	standard			0.000
4	standard			0.000
5	standard			0.000
6	standard			0.000
7	standard			0.000
8	standard			0.000
9	standard			0.000
10	standard			0.000
11	deviant	0.402	0.000
12	button	0.000
13	button	-0.018
15	deviant		0.000
16	standard			0.000
17	standard			0.000
18	standard			0.000
19	standard			0.000
20	deviant	0.363	0.000
21	button	0.000
22	standard			0.000
23	standard			0.000
24	deviant		0.000
25	button	0.000
26	standard			0.000
27	standard			0.000
28	standard			0.000
29	standard			0.000
30	standard			0.000
31	standard			0.000
32	standard			0.000
33	standard			0.000
34	standard			0.000
35	standard			0.000
36	standard			0.000
37	deviant	0.450	0.000
38	button	0.000
39	standard			0.000
40	standard			0.000
41	standard			0.000
42	standard			0.000
43	standard			0.000
44	deviant	0.403	0.000
45	button	0.000
46	standard			0.000
47	standard			0.000
48	standard			0.000
49	standard			0.000
50	standard			0.000
51	deviant	0.449	0.000
52	button	0.000		0.484
53	standard			0.000
54	standard			0.000
55	deviant		0.000
56	button	0.000
57	standard			0.000
59	standard			0.000
60	standard			0.000
61	standard			0.000
62	standard			0.000
63	standard			0.000
64	standard			0.000
65	standard			0.000
66	standard			0.000
67	deviant	0.490	0.000
68	deviant	0.489	-0.000
69	button	0.000
70	standard			0.000
72	standard			0.000
73	standard			0.000
74	deviant		0.000
75	button	0.000
76	standard			0.000
77	standard			0.000
78	standard			0.000
79	deviant	0.432	0.000
80	button	0.000		0.385
83	standard			0.000
84	standard			0.000
85	deviant		0.000
86	button	0.000
87	standard			0.000
88	standard			0.000
89	standard			0.000
90	standard			0.000
91	standard			0.000
92	standard			0.000
93	standard			0.000
94	standard			0.000
95	deviant		0.000
96	button	0.000
98	standard			0.000
99	standard			0.000
100	standard			0.000
101	deviant	0.449	0.000
102	button	0.000
103	standard			0.000
104	standard			0.000
105	standard			0.000
106	standard			0.000

101 rows × 5 columns

ERF image (Magnetometers) epochs clean

ERP image (EEG) epochs clean

Drop log epochs clean

PSD epochs clean

Condition: standard evoked standard

Time course (Magnetometers) evoked standard

Topographies evoked standard

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Global field power evoked standard

Condition: deviant deviant evoked

Time course (Magnetometers) evoked deviant

Topographies evoked deviant

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Global field power evoked deviant

Condition: button button evoked

Time course (Magnetometers) evoked button

Topographies evoked button

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Global field power evoked button

Contrast: deviant+standard contrast deviant+standard evoked

Time course (Magnetometers) evoked deviant+standard contrast

Topographies evoked deviant+standard contrast

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Global field power evoked deviant+standard contrast

Decoding: full-epochs contrast decoding deviant–standard epochs

Full-epochs decoding epochs contrast decoding deviant–standard

Decoding: time-by-time contrast decoding deviant–standard epochs

Decoding over time: deviant vs. standard epochs contrast decoding deviant–standard

Time generalization: deviant vs. standard epochs contrast decoding deviant–standard

Noise covariance button contrast covariance deviant deviant+standard evoked standard

Covariance matrix covariance

Singular values covariance

Whitening: standard evoked covariance standard

Whitening: deviant evoked covariance deviant

Whitening: button evoked covariance button

Whitening: deviant+standard evoked covariance deviant+standard contrast

Configuration file configuration

  """Brainstorm - Auditory Dataset.

See https://openneuro.org/datasets/ds000246/versions/1.0.0 for more
information.
"""

bids_root = "~/mne_data/ds000246"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000246"

runs = ["01"]
crop_runs = (0, 120)  # Reduce memory usage on CI system
read_raw_bids_verbose = "error"  # No BIDS -> MNE mapping found for channel ...
l_freq = 0.3
h_freq = 100
epochs_decim = 4
subjects = ["0001"]
ch_types = ["meg"]
reject = dict(mag=4e-12, eog=250e-6)
conditions = ["standard", "deviant", "button"]
contrasts = [("deviant", "standard")]
decode = True
decoding_time_generalization = True
decoding_time_generalization_decim = 4
on_error = "abort"
plot_psd_for_runs = []  # too much memory on CIs

parallel_backend = "dask"
dask_worker_memory_limit = "2G"
dask_temp_dir = "./.dask-worker-space"
dask_open_dashboard = True
n_jobs = 2

System information mne-sysinfo

  Platform             Linux-5.15.0-1053-aws-x86_64-with-glibc2.35
Python               3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Executable           /home/circleci/python_env/bin/python3.10
CPU                  x86_64 (36 cores)
Memory               68.6 GB

Core
├☑ mne               1.7.0.dev156+g415e7f68e (devel, latest release is 1.6.1)
├☑ numpy             1.26.4 (OpenBLAS 0.3.23.dev with 2 threads)
├☑ scipy             1.12.0
└☑ matplotlib        3.8.3 (backend=agg)

Numerical (optional)
├☑ sklearn           1.4.1.post1
├☑ numba             0.59.1
├☑ nibabel           5.2.1
├☑ pandas            2.2.1
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.43.4 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.0
├☑ vtk               9.3.0
├☑ qtpy              2.4.1 (PyQt6=6.6.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.15.0.dev43+g17d20c132
├☑ mne-bids-pipeline 1.8.0
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo

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