sub-01, ses-anodalpost, task-attentionalblink

Raw (original) data-quality raw run-None

Info raw run-None data-quality

	General
	Filename(s)	sub-01_ses-anodalpost_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:19:28 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	598,016
	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

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

PSD raw run-None data-quality

Raw (filtered) filtered raw run-None

Info raw run-None filtered

	General
	Filename(s)	sub-01_ses-anodalpost_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:19:28 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	598,016
	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	252
	Events counts	61450: 183 61511: 69
	Time range	-0.199 – 0.500 s
	Baseline	off
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	252 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				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	61511	0.250	0.000	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	61511	0.250	0.000	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				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				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				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	61511	0.250	0.000	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	61511	0.250	0.000	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	61511	0.250	0.000	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	61511	0.250	0.000	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	61511	0.250	0.000	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				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				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	61511	0.250	0.000	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 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-anodalpost_task-attentionalblink_epo.fif
	MNE object type	EpochsFIF
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Total number of events	155
	Events counts	61450: 138 61511: 17
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	155 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
3	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
6	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
9	None	None		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
13	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
14	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
18	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
25	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
28	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
32	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
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
39	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	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
42	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
43	None	None		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
48	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
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
55	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
59	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
60	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
67	None	None		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
73	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
75	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
81	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
82	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
86	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
87	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
89	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
90	61450	None	0.000	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
92	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
94	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
96	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
97	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
98	61450	None	0.000	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
106	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
107	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
108	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
109	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
110	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
111	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
114	61450	None	0.000	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
122	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
124	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
126	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
127	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
128	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
129	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
130	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
131	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
133	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
135	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
137	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
139	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
140	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
141	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
144	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
151	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
152	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
153	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
155	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
158	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
159	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
160	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
163	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
164	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
165	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
167	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
168	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
170	61450	None	0.000	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
176	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
177	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
178	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
180	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
183	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
184	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
185	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
187	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
188	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
189	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
191	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
195	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
196	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
197	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
198	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
199	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
200	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
201	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
202	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
204	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
205	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
207	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
208	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
209	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
211	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
213	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
214	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
215	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
219	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
220	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
221	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
222	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
223	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
224	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
225	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
227	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
229	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
233	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
235	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
238	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
241	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
242	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
244	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
246	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
248	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

155 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 138 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 17 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 15 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 38 epochs
	Condition	(0.89 × 61450 + 0.11 × 61511) - (0.89 × 61450 + 0.11 × 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-6.8.0-1039-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               8.0 GiB

Core
├☑ mne               1.11.0.dev90+ge50d56542 (development, latest release is 1.10.2)
├☑ numpy             2.3.4 (OpenBLAS 0.3.30 with 1 thread)
├☑ 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

Table of contents