sub-01, ses-anodalpre, task-attentionalblink

Raw (original) data-quality raw run-None

Info raw run-None data-quality

	General
	Filename(s)	sub-01_ses-anodalpre_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:20:09 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	619,008
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.00 Hz
	Lowpass	256.00 Hz

Time series raw run-None data-quality

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PSD raw run-None data-quality

Raw (filtered) filtered raw run-None

Info raw run-None filtered

	General
	Filename(s)	sub-01_ses-anodalpre_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:20:09 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	619,008
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz

Time series raw run-None filtered

Move the slider or click on the image and use the ← and → keys to browse.

PSD raw run-None filtered

Events events

Epochs: before cleaning epochs

Info epochs

	General
	MNE object type	Epochs
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Total number of events	267
	Events counts	61450: 178 61511: 89
	Time range	-0.199 – 0.500 s
	Baseline	off
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	267 rows × 16 columns
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (off)

Metadata epochs

Epoch #	event_name	61450	61511	ones	letter
0				1.000	a
1				1.000	a
2	61450	0.000		1.000	a
3				1.000	a
4				1.000	a
5				1.000	a
6				1.000	a
7				1.000	a
8				1.000	a
9				1.000	a
10	61450	0.000		1.000	a
11				1.000	a
12				1.000	a
13				1.000	a
14				1.000	a
15				1.000	a
16				1.000	a
17				1.000	a
18	61450	0.000		1.000	a
19				1.000	a
20				1.000	a
21				1.000	a
22				1.000	a
23				1.000	a
24				1.000	a
25	61511	0.250	0.000	1.000	a
26	61450	0.000		1.000	a
27				1.000	a
28				1.000	a
29				1.000	a
30				1.000	a
31				1.000	a
32				1.000	a
33				1.000	a
34	61450	0.000		1.000	a
35				1.000	a
36				1.000	a
37				1.000	a
38				1.000	a
39				1.000	a
40				1.000	a
41				1.000	a
42	61450	0.000		1.000	a
43				1.000	a
44				1.000	a
45				1.000	a
46				1.000	a
47				1.000	a
48				1.000	a
49	61511	0.250	0.000	1.000	a
50	61450	0.000		1.000	a
51				1.000	a
52				1.000	a
53				1.000	a
54				1.000	a
55				1.000	a
56				1.000	a
57				1.000	a
58	61450	0.000		1.000	a
59				1.000	a
60				1.000	a
61				1.000	a
62				1.000	a
63				1.000	a
64				1.000	a
65	61511	0.250	0.000	1.000	a
66	61450	0.000		1.000	a
67				1.000	a
68				1.000	a
69				1.000	a
70				1.000	a
71				1.000	a
72				1.000	a
73				1.000	a
74	61450	0.000		1.000	a
75				1.000	a
76				1.000	a
77				1.000	a
78				1.000	a
79				1.000	a
80				1.000	a
81	61511	0.250	0.000	1.000	a
82	61450	0.000		1.000	a
83				1.000	a
84				1.000	a
85				1.000	a
86				1.000	a
87				1.000	a
88				1.000	a
89				1.000	a
90	61450	0.000		1.000	a
91				1.000	a
92				1.000	a
93				1.000	a
94				1.000	a
95				1.000	a
96				1.000	a
97				1.000	a
98	61450	0.000		1.000	a
99				1.000	a
100				1.000	a
101				1.000	a
102				1.000	a
103				1.000	a
104				1.000	a
105	61511	0.250	0.000	1.000	a
106	61450	0.000		1.000	a
107				1.000	a
108				1.000	a
109				1.000	a
110				1.000	a
111				1.000	a
112				1.000	a
113				1.000	a
114	61450	0.000		1.000	a
115				1.000	a
116				1.000	a
117				1.000	a
118				1.000	a
119				1.000	a
120				1.000	a
121	61511	0.250	0.000	1.000	a
122	61450	0.000		1.000	a
123				1.000	a
124				1.000	a
125				1.000	a
126				1.000	a
127				1.000	a
128				1.000	a
129	61511	0.250	0.000	1.000	a
130	61450	0.000		1.000	a
131				1.000	a
132				1.000	a
133				1.000	a
134				1.000	a
135				1.000	a
136				1.000	a
137				1.000	a
138	61450	0.000		1.000	a
139				1.000	a
140				1.000	a
141				1.000	a
142				1.000	a
143				1.000	a
144				1.000	a
145				1.000	a
146	61450	0.000		1.000	a
147				1.000	a
148				1.000	a
149				1.000	a
150				1.000	b
151				1.000	b
152				1.000	b
153				1.000	b
154	61450	0.000		1.000	b
155				1.000	b
156				1.000	b
157				1.000	b
158				1.000	b
159				1.000	b
160				1.000	b
161				1.000	b
162	61450	0.000		1.000	b
163				1.000	b
164				1.000	b
165				1.000	b
166				1.000	b
167				1.000	b
168				1.000	b
169				1.000	b
170	61450	0.000		1.000	b
171				1.000	b
172				1.000	b
173				1.000	b
174				1.000	b
175				1.000	b
176				1.000	b
177				1.000	b
178	61450	0.000		1.000	b
179				1.000	b
180				1.000	b
181				1.000	b
182				1.000	b
183				1.000	b
184				1.000	b
185				1.000	b
186	61450	0.000		1.000	b
187				1.000	b
188				1.000	b
189				1.000	b
190				1.000	b
191				1.000	b
192				1.000	b
193				1.000	b
194	61450	0.000		1.000	b
195				1.000	b
196				1.000	b
197				1.000	b
198				1.000	b
199				1.000	b
200				1.000	b
201	61511	0.250	0.000	1.000	b
202	61450	0.000		1.000	b
203				1.000	b
204				1.000	b
205				1.000	b
206				1.000	b
207				1.000	b
208				1.000	b
209	61511	0.250	0.000	1.000	b
210	61450	0.000		1.000	b
211				1.000	b
212				1.000	b
213				1.000	b
214				1.000	b
215				1.000	b
216				1.000	b
217				1.000	b
218	61450	0.000		1.000	b
219				1.000	b
220				1.000	b
221				1.000	b
222				1.000	b
223				1.000	b
224				1.000	b
225				1.000	b
226	61450	0.000		1.000	b
227				1.000	b
228				1.000	b
229				1.000	b
230				1.000	b
231				1.000	b
232				1.000	b
233				1.000	b
234	61450	0.000		1.000	b
235				1.000	b
236				1.000	b
237				1.000	b
238				1.000	b
239				1.000	b
240				1.000	b
241	61511	0.250	0.000	1.000	b
242	61450	0.000		1.000	b
243				1.000	b
244				1.000	b
245				1.000	b
246				1.000	b
247				1.000	b
248				1.000	b
249				1.000	b
250	61450	0.000		1.000	b
251				1.000	b
252				1.000	b
253				1.000	b
254				1.000	b
255				1.000	b
256				1.000	b
257	61511	0.250	0.000	1.000	b
258	61450	0.000		1.000	b
259				1.000	b
260				1.000	b
261				1.000	b
262				1.000	b
263				1.000	b
264				1.000	b
265				1.000	b
266	61450	0.000		1.000	b

267 rows × 17 columns

ERP image (EEG) epochs

Drop log epochs

PSD epochs

Epochs: after cleaning clean epochs

Rejection thresholds epochs clean

{'eeg': 0.0001}

Info epochs clean

	General
	Filename(s)	sub-01_ses-anodalpre_task-attentionalblink_epo.fif
	MNE object type	EpochsFIF
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Total number of events	98
	Events counts	61450: 70 61511: 28
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	98 rows × 16 columns
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Metadata epochs clean

Epoch #	event_name	61440	61450	61463	61468	61471	61472	61480	61490	61500	61501	61510	61511	61694	ones	letter
0	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
1	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
2	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
4	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
5	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
7	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
8	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
10	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
11	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
12	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
16	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
17	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
19	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
20	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
21	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
22	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
23	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
24	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
27	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
29	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
30	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
31	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
33	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
34	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
35	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
36	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
37	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
40	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
41	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
42	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
44	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
45	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
46	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
47	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
49	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
50	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
51	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
52	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
53	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
54	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
55	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
56	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
57	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
58	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
59	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
61	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
62	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
63	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
64	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
66	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
68	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
69	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
72	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
80	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
83	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
84	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
85	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
88	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
91	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
93	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
100	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
101	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
102	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
104	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
105	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
108	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
113	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
115	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
116	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
117	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
134	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
137	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
147	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
148	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
149	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
155	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
161	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
172	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
173	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
174	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
175	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
181	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
190	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
210	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
212	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
217	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
218	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
219	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
231	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
232	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
234	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
243	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
247	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
249	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
250	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
253	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
254	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
255	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b

98 rows × 17 columns

ERP image (EEG) epochs clean

Drop log epochs clean

PSD epochs clean

Condition: 61450 61450 evoked

Info evoked 61450

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 70 epochs
	Condition	61450
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61450

Topographies evoked 61450

Move the slider or click on the image and use the ← and → keys to browse.

Global field power evoked 61450

Condition: 61511 61511 evoked

Info evoked 61511

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 28 epochs
	Condition	61511
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61511

Topographies evoked 61511

Move the slider or click on the image and use the ← and → keys to browse.

Global field power evoked 61511

Contrast: 61450+61511 61450+61511 contrast evoked

Info evoked 61450+61511 contrast

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 20 epochs
	Condition	61450 - 61511
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61450+61511 contrast

Topographies evoked 61450+61511 contrast

Move the slider or click on the image and use the ← and → keys to browse.

Global field power evoked 61450+61511 contrast

Contrast: letter=='a'+letter=='b' contrast evoked letter==a+letter==b

Info evoked letter==a+letter==b contrast

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 18 epochs
	Condition	(0.71 × 61450 + 0.29 × 61511) - (0.74 × 61450 + 0.26 × 61511)
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked letter==a+letter==b contrast

Topographies evoked letter==a+letter==b contrast

Move the slider or click on the image and use the ← and → keys to browse.

Global field power evoked letter==a+letter==b contrast

Decoding: full-epochs 61450–61511 contrast decoding epochs letter==a–letter==b

Full-epochs decoding epochs contrast decoding 61450–61511 letter==a–letter==b

Decoding: time-by-time 61450–61511 contrast decoding epochs letter==a–letter==b

Decoding over time: 61450 vs. 61511 epochs contrast decoding 61450–61511

Decoding over time: letter=='a' vs. letter=='b' epochs contrast decoding letter==a–letter==b

Noise covariance 61450 61450+61511 61511 contrast covariance evoked letter==a+letter==b

Covariance matrix covariance

Singular values covariance

Whitening: 61450 evoked covariance 61450

Whitening: 61511 evoked covariance 61511

Whitening: 61450+61511 evoked covariance 61450+61511 contrast

Whitening: letter=='a'+letter=='b' evoked covariance letter==a+letter==b contrast

Configuration file configuration

  """tDCS EEG."""

import numpy as np
import pandas as pd

bids_root = "~/mne_data/ds001810"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds001810"

task = "attentionalblink"
interactive = False
ch_types = ["eeg"]
eeg_template_montage = "biosemi64"
reject = dict(eeg=100e-6)
baseline = (None, 0)
conditions = ["61450", "61511"]
contrasts = [("61450", "61511"), ("letter=='a'", "letter=='b'")]
decode = True
decoding_n_splits = 3  # only for testing, use 5 otherwise

l_freq = 0.3

subjects = ["01"]
sessions = "all"

interpolate_bads_grand_average = False
n_jobs = 4

epochs_custom_metadata = {
    "ses-anodalpost": pd.DataFrame(
        {
            "ones": np.ones(253),
            "letter": ["a" for x in range(150)] + ["b" for x in range(103)],
        }
    ),
    "ses-anodalpre": pd.DataFrame(
        {
            "ones": np.ones(268),
            "letter": ["a" for x in range(150)] + ["b" for x in range(118)],
        }
    ),
    "ses-anodaltDCS": pd.DataFrame(
        {
            "ones": np.ones(269),
            "letter": ["a" for x in range(150)] + ["b" for x in range(119)],
        }
    ),
    "ses-cathodalpost": pd.DataFrame(
        {
            "ones": np.ones(290),
            "letter": ["a" for x in range(150)] + ["b" for x in range(140)],
        }
    ),
    "ses-cathodalpre": pd.DataFrame(
        {
            "ones": np.ones(267),
            "letter": ["a" for x in range(150)] + ["b" for x in range(117)],
        }
    ),
    "ses-cathodaltDCS": pd.DataFrame(
        {
            "ones": np.ones(297),
            "letter": ["a" for x in range(150)] + ["b" for x in range(147)],
        }
    ),
}  # number of rows are hand-set

System information mne-sysinfo

  Platform             Linux-6.8.0-1031-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               8.0 GiB

Core
├☑ mne               1.11.0.dev17+g167872bf6 (development, latest release is 1.10.0)
├☑ numpy             2.2.6 (OpenBLAS 0.3.29 with 1 thread)
├☑ scipy             1.16.1
└☑ matplotlib        3.10.3 (backend=agg)

Numerical (optional)
├☑ sklearn           1.7.1
├☑ numba             0.61.2
├☑ nibabel           5.3.2
├☑ pandas            2.3.1
├☑ h5io              0.2.5
├☑ h5py              3.14.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.45.3 (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               9.4.2
├☑ qtpy              2.4.3 (PyQt6=6.9.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.17.0.dev63+g5dc6cce
├☑ mne-bids-pipeline 1.10.0.dev93+g85cf165
├☑ eeglabio          0.1.0
├☑ edfio             0.4.9
├☑ pybv              0.7.6
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy, antio

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