General
Filename(s) sub-015_ses-ERN_task-ERN_eeg.fdt
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Duration 00:12:09 (HH:MM:SS)
Sampling frequency 1024.00 Hz
Time points 746,496
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 0.00 Hz
Lowpass 512.00 Hz
PSD
General
Filename(s) sub-015_ses-ERN_task-ERN_eeg.fdt
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Duration 00:12:09 (HH:MM:SS)
Sampling frequency 128.00 Hz
Time points 93,312
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
PSD
General
MNE object type Epochs
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Total number of events 402
Events counts response/correct: 351
response/incorrect: 51
Time range -0.602 – 0.398 s
Baseline off
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 1.00 Hz
Lowpass 64.00 Hz
Epoch # event_name compatible/left compatible/right incompatible/left incompatible/right response/correct response/incorrect
0 response/incorrect 0.000
1 response/correct 0.000
2 response/correct -0.430 0.000
3 response/correct -0.375 0.000
4 response/correct -0.383 0.000
5 response/correct -0.414 0.000
6 response/correct -0.391 0.000
7 response/correct -0.570 0.000
8 response/correct -0.461 0.000
9 response/correct -0.391 0.000
10 response/correct -0.383 0.000
11 response/correct -0.320 0.000
12 response/incorrect -0.336 0.000
13 response/incorrect -0.477 0.000
14 response/correct -0.406 0.000
15 response/correct -0.523 0.000
16 response/correct -0.375 0.000
17 response/correct -0.375 0.000
18 response/correct -0.398 0.000
19 response/correct -0.492 0.000
20 response/correct -0.430 0.000
21 response/correct -0.344 0.000
22 response/correct -0.359 0.000
23 response/incorrect -0.273 0.000
24 response/correct -0.312 0.000
25 response/correct -0.344 0.000
26 response/correct -0.461 0.000
27 response/correct -0.422 0.000
28 response/correct -0.414 0.000
29 response/correct -0.453 0.000
30 response/correct -0.422 0.000
31 response/correct -0.602 0.000
32 response/correct -0.383 0.000
33 response/correct -0.414 0.000
34 response/correct -0.469 0.000
35 response/correct -0.445 0.000
36 response/correct -0.406 0.000
37 response/correct -0.438 0.000
38 response/correct -0.320 0.000
39 response/correct -0.469 0.000
40 response/correct -0.344 0.000
41 response/correct -0.477 0.000
42 response/correct -0.422 0.000
43 response/incorrect -0.391 0.000
44 response/correct -0.406 0.000
45 response/correct -0.367 0.000
46 response/incorrect -0.305 0.000
47 response/correct -0.422 0.000
48 response/correct -0.406 0.000
49 response/correct -0.344 0.000
50 response/correct -0.312 0.000
51 response/correct -0.453 0.000
52 response/correct -0.305 0.000
53 response/incorrect -0.344 0.000
54 response/correct -0.422 0.000
55 response/correct -0.312 0.000
56 response/correct -0.359 0.000
57 response/correct -0.445 0.000
58 response/correct -0.305 0.000
59 response/correct -0.398 0.000
60 response/correct -0.281 0.000
61 response/correct -0.383 0.000
62 response/correct -0.375 0.000
63 response/correct -0.281 0.000
64 response/correct -0.344 0.000
65 response/incorrect -0.320 0.000
66 response/correct -0.445 0.000
67 response/incorrect -0.359 0.000
68 response/correct -0.453 0.000
69 response/correct -0.461 0.000
70 response/correct -0.430 0.000
71 response/correct -0.328 0.000
72 response/correct -0.453 0.000
73 response/correct -0.359 0.000
74 response/correct -0.398 0.000
75 response/correct -0.438 0.000
76 response/correct -0.305 0.000
77 response/correct -0.398 0.000
78 response/correct -0.492 0.000
79 response/correct -0.352 0.000
80 response/correct -0.312 0.000
81 response/correct -0.297 0.000
82 response/correct -0.516 0.000
83 response/correct -0.383 0.000
84 response/correct -0.305 0.000
85 response/correct -0.477 0.000
86 response/correct -0.375 0.000
87 response/correct -0.375 0.000
88 response/correct -0.352 0.000
89 response/correct -0.328 0.000
90 response/incorrect -0.367 0.000
91 response/correct -0.445 0.000
92 response/correct -0.430 0.000
93 response/correct -0.391 0.000
94 response/correct -0.398 0.000
95 response/correct -0.391 0.000
96 response/correct -0.383 0.000
97 response/correct -0.336 0.000
98 response/correct -0.328 0.000
99 response/correct -0.273 0.000
100 response/incorrect -0.258 0.000
101 response/incorrect -0.414 0.000
102 response/correct -0.562 0.000
103 response/correct -0.305 0.000
104 response/incorrect -0.305 0.000
105 response/correct -0.414 0.000
106 response/incorrect -0.289 0.000
107 response/correct -0.430 0.000
108 response/correct -0.352 0.000
109 response/correct -0.312 0.000
110 response/correct -0.281 0.000
111 response/incorrect -0.266 0.000
112 response/correct -0.430 0.000
113 response/correct -0.414 0.000
114 response/correct -0.438 0.000
115 response/correct -0.375 0.000
116 response/correct -0.320 0.000
117 response/correct -0.398 0.000
118 response/correct -0.359 0.000
119 response/correct -0.398 0.000
120 response/correct -0.352 0.000
121 response/correct -0.398 0.000
122 response/correct -0.469 0.000
123 response/correct -0.352 0.000
124 response/correct -0.414 0.000
125 response/correct -0.312 0.000
126 response/correct -0.312 0.000
127 response/correct -0.453 0.000
128 response/correct -0.391 0.000
129 response/correct -0.453 0.000
130 response/correct -0.320 0.000
131 response/correct -0.375 0.000
132 response/correct -0.391 0.000
133 response/incorrect -0.344 0.000
134 response/correct -0.406 0.000
135 response/incorrect -0.336 0.000
136 response/incorrect -0.305 0.000
137 response/correct -0.391 0.000
138 response/correct -0.328 0.000
139 response/correct -0.406 0.000
140 response/correct -0.398 0.000
141 response/correct -0.383 0.000
142 response/incorrect -0.289 0.000
143 response/correct -0.344 0.000
144 response/correct -0.406 0.000
145 response/correct -0.531 0.000
146 response/correct -0.406 0.000
147 response/correct -0.375 0.000
148 response/correct -0.352 0.000
149 response/correct -0.352 0.000
150 response/incorrect -0.359 0.000
151 response/correct -0.523 0.000
152 response/correct -0.430 0.000
153 response/correct -0.344 0.000
154 response/correct -0.477 0.000
155 response/correct -0.406 0.000
156 response/correct -0.422 0.000
157 response/correct -0.398 0.000
158 response/correct -0.367 0.000
159 response/correct -0.414 0.000
160 response/correct -0.430 0.000
161 response/correct -0.367 0.000
162 response/correct -0.492 0.000
163 response/correct -0.445 0.000
164 response/correct -0.445 0.000
165 response/correct -0.430 0.000
166 response/correct -0.461 0.000
167 response/correct -0.438 0.000
168 response/correct -0.430 0.000
169 response/correct -0.367 0.000
170 response/correct -0.430 0.000
171 response/correct -0.391 0.000
172 response/correct -0.430 0.000
173 response/correct -0.398 0.000
174 response/correct -0.414 0.000
175 response/correct -0.289 0.000
176 response/correct -0.398 0.000
177 response/correct -0.375 0.000
178 response/correct -0.328 0.000
179 response/incorrect -0.266 0.000
180 response/correct -0.461 0.000
181 response/correct -0.320 0.000
182 response/correct -0.430 0.000
183 response/correct -0.352 0.000
184 response/correct -0.375 0.000
185 response/correct -0.422 0.000
186 response/correct -0.375 0.000
187 response/correct -0.305 0.000
188 response/incorrect -0.227 0.000
189 response/correct -0.305 0.000
190 response/correct -0.320 0.000
191 response/correct -0.375 0.000
192 response/correct -0.453 0.000
193 response/correct -0.297 0.000
194 response/incorrect -0.383 0.000
195 response/correct -0.398 0.000
196 response/correct -0.383 0.000
197 response/correct -0.320 0.000
198 response/correct -0.391 0.000
199 response/correct -0.359 0.000
200 response/incorrect -0.367 0.000
201 response/correct -0.383 0.000
202 response/correct -0.484 0.000
203 response/correct -0.453 0.000
204 response/correct -0.516 0.000
205 response/incorrect -0.375 0.000
206 response/correct -0.492 0.000
207 response/correct -0.352 0.000
208 response/correct -0.477 0.000
209 response/correct -0.461 0.000
210 response/correct -0.398 0.000
211 response/correct -0.422 0.000
212 response/correct -0.492 0.000
213 response/correct -0.336 0.000
214 response/correct -0.359 0.000
215 response/correct -0.367 0.000
216 response/correct -0.336 0.000
217 response/incorrect -0.312 0.000
218 response/correct -0.375 0.000
219 response/correct -0.414 0.000
220 response/correct -0.383 0.000
221 response/correct -0.352 0.000
222 response/correct -0.320 0.000
223 response/correct -0.422 0.000
224 response/correct -0.477 0.000
225 response/correct 0.000
226 response/correct -0.422 0.000
227 response/correct -0.508 0.000
228 response/correct -0.422 0.000
229 response/correct -0.508 0.000
230 response/correct -0.453 0.000
231 response/correct -0.445 0.000
232 response/correct -0.398 0.000
233 response/correct -0.328 0.000
234 response/correct -0.422 0.000
235 response/correct -0.383 0.000
236 response/correct -0.367 0.000
237 response/correct -0.352 0.000
238 response/correct -0.375 0.000
239 response/correct -0.383 0.000
240 response/correct -0.406 0.000
241 response/correct -0.344 0.000
242 response/correct -0.500 0.000
243 response/correct -0.312 0.000
244 response/correct -0.398 0.000
245 response/correct -0.258 0.000
246 response/correct -0.273 0.000
247 response/correct -0.266 0.000
248 response/correct -0.359 0.000
249 response/correct -0.336 0.000
250 response/incorrect -0.328 0.000
251 response/correct -0.383 0.000
252 response/incorrect -0.344 0.000
253 response/incorrect -0.289 0.000
254 response/correct -0.398 0.000
255 response/correct -0.398 0.000
256 response/correct -0.445 0.000
257 response/correct -0.359 0.000
258 response/correct -0.516 0.000
259 response/correct -0.453 0.000
260 response/correct -0.359 0.000
261 response/correct -0.305 0.000
262 response/correct -0.297 0.000
263 response/incorrect -0.305 0.000
264 response/correct -0.250 0.000
265 response/correct -0.375 0.000
266 response/correct -0.242 0.000
267 response/incorrect -0.281 0.000
268 response/correct -0.328 0.000
269 response/correct -0.359 0.000
270 response/correct -0.312 0.000
271 response/incorrect -0.242 0.000
272 response/correct -0.461 0.000
273 response/correct -0.320 0.000
274 response/correct -0.297 0.000
275 response/correct -0.320 0.000
276 response/correct -0.312 0.000
277 response/correct -0.336 0.000
278 response/incorrect -0.281 0.000
279 response/incorrect -0.203 0.000
280 response/incorrect -0.352 0.000
281 response/correct -0.359 0.000
282 response/correct -0.367 0.000
283 response/correct -0.477 0.000
284 response/correct -0.297 0.000
285 response/correct -0.414 0.000
286 response/incorrect -0.328 0.000
287 response/correct -0.414 0.000
288 response/correct -0.359 0.000
289 response/incorrect -0.336 0.000
290 response/correct -0.430 0.000
291 response/correct -0.406 0.000
292 response/correct -0.289 0.000
293 response/correct 0.000
294 response/correct -0.430 0.000
295 response/correct -0.375 0.000
296 response/correct -0.375 0.000
297 response/correct -0.344 0.000
298 response/correct -0.359 0.000
299 response/correct -0.375 0.000
300 response/correct -0.406 0.000
301 response/correct -0.398 0.000
302 response/correct -0.438 0.000
303 response/correct -0.406 0.000
304 response/correct -0.375 0.000
305 response/correct -0.328 0.000
306 response/correct -0.359 0.000
307 response/correct -0.398 0.000
308 response/correct -0.344 0.000
309 response/correct -0.297 0.000
310 response/correct -0.477 0.000
311 response/correct -0.414 0.000
312 response/correct -0.406 0.000
313 response/incorrect -0.320 0.000
314 response/correct -0.445 0.000
315 response/correct -0.336 0.000
316 response/correct -0.375 0.000
317 response/correct -0.445 0.000
318 response/correct -0.414 0.000
319 response/correct -0.383 0.000
320 response/correct -0.453 0.000
321 response/correct -0.531 0.000
322 response/correct -0.500 0.000
323 response/correct -0.414 0.000
324 response/correct -0.289 0.000
325 response/correct -0.305 0.000
326 response/correct -0.367 0.000
327 response/correct -0.422 0.000
328 response/correct -0.508 0.000
329 response/correct -0.359 0.000
330 response/correct -0.273 0.000
331 response/incorrect -0.211 0.000
332 response/correct -0.344 0.000
333 response/correct -0.328 0.000
334 response/correct -0.359 0.000
335 response/incorrect -0.297 0.000
336 response/correct -0.328 0.000
337 response/incorrect -0.328 0.000
338 response/correct -0.406 0.000
339 response/correct -0.391 0.000
340 response/incorrect -0.320 0.000
341 response/correct -0.367 0.000
342 response/correct -0.469 0.000
343 response/correct -0.320 0.000
344 response/incorrect -0.352 0.000
345 response/correct -0.305 0.000
346 response/correct -0.438 0.000
347 response/correct -0.453 0.000
348 response/correct -0.398 0.000
349 response/correct -0.484 0.000
350 response/correct -0.367 0.000
351 response/correct -0.398 0.000
352 response/incorrect -0.305 0.000
353 response/incorrect -0.234 0.000
354 response/correct -0.281 0.000
355 response/incorrect -0.242 0.000
356 response/correct -0.383 0.000
357 response/correct -0.391 0.000
358 response/correct -0.297 0.000
359 response/incorrect -0.234 0.000
360 response/incorrect -0.211 0.000
361 response/correct -0.352 0.000
362 response/correct -0.438 0.000
363 response/correct -0.430 0.000
364 response/correct -0.320 0.000
365 response/correct -0.328 0.000
366 response/correct -0.375 0.000
367 response/correct -0.367 0.000
368 response/correct -0.352 0.000
369 response/correct -0.352 0.000
370 response/correct -0.391 0.000
371 response/correct -0.359 0.000
372 response/incorrect -0.336 0.000
373 response/correct -0.391 0.000
374 response/correct -0.367 0.000
375 response/correct -0.484 0.000
376 response/correct -0.453 0.000
377 response/correct -0.484 0.000
378 response/correct -0.422 0.000
379 response/correct -0.297 0.000
380 response/correct -0.352 0.000
381 response/correct -0.383 0.000
382 response/correct -0.328 0.000
383 response/correct -0.453 0.000
384 response/incorrect -0.391 0.000
385 response/correct -0.297 0.000
386 response/correct -0.344 0.000
387 response/correct -0.336 0.000
388 response/correct -0.312 0.000
389 response/correct -0.352 0.000
390 response/correct -0.320 0.000
391 response/correct -0.414 0.000
392 response/correct -0.289 0.000
393 response/correct -0.312 0.000
394 response/correct -0.344 0.000
395 response/incorrect -0.312 0.000
396 response/correct -0.398 0.000
397 response/correct -0.359 0.000
398 response/correct -0.375 0.000
399 response/correct -0.445 0.000
400 response/correct -0.453 0.000
401 response/correct -0.375 0.000

402 rows × 8 columns

ERP image (EEG)
No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 402 epochs (402.0 s).
Method picard
Fit parameters fastica_it=5
max_iter=1000
Fit 103 iterations on epochs (26130 samples)
ICA components 28
Available PCA components 29
Channel types eeg
ICA components marked for exclusion ICA001
ICA003
ICA004
ICA005
ICA010
ICA026
Events
General
MNE object type Epochs
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Total number of events 402
Events counts response/correct: 351
response/incorrect: 51
Time range -0.602 – 0.398 s
Baseline off
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
Epoch # event_name compatible/left compatible/right incompatible/left incompatible/right response/correct response/incorrect
0 response/incorrect 0.000
1 response/correct 0.000
2 response/correct -0.430 0.000
3 response/correct -0.375 0.000
4 response/correct -0.383 0.000
5 response/correct -0.414 0.000
6 response/correct -0.391 0.000
7 response/correct -0.570 0.000
8 response/correct -0.461 0.000
9 response/correct -0.391 0.000
10 response/correct -0.383 0.000
11 response/correct -0.320 0.000
12 response/incorrect -0.336 0.000
13 response/incorrect -0.477 0.000
14 response/correct -0.406 0.000
15 response/correct -0.523 0.000
16 response/correct -0.375 0.000
17 response/correct -0.375 0.000
18 response/correct -0.398 0.000
19 response/correct -0.492 0.000
20 response/correct -0.430 0.000
21 response/correct -0.344 0.000
22 response/correct -0.359 0.000
23 response/incorrect -0.273 0.000
24 response/correct -0.312 0.000
25 response/correct -0.344 0.000
26 response/correct -0.461 0.000
27 response/correct -0.422 0.000
28 response/correct -0.414 0.000
29 response/correct -0.453 0.000
30 response/correct -0.422 0.000
31 response/correct -0.602 0.000
32 response/correct -0.383 0.000
33 response/correct -0.414 0.000
34 response/correct -0.469 0.000
35 response/correct -0.445 0.000
36 response/correct -0.406 0.000
37 response/correct -0.438 0.000
38 response/correct -0.320 0.000
39 response/correct -0.469 0.000
40 response/correct -0.344 0.000
41 response/correct -0.477 0.000
42 response/correct -0.422 0.000
43 response/incorrect -0.391 0.000
44 response/correct -0.406 0.000
45 response/correct -0.367 0.000
46 response/incorrect -0.305 0.000
47 response/correct -0.422 0.000
48 response/correct -0.406 0.000
49 response/correct -0.344 0.000
50 response/correct -0.312 0.000
51 response/correct -0.453 0.000
52 response/correct -0.305 0.000
53 response/incorrect -0.344 0.000
54 response/correct -0.422 0.000
55 response/correct -0.312 0.000
56 response/correct -0.359 0.000
57 response/correct -0.445 0.000
58 response/correct -0.305 0.000
59 response/correct -0.398 0.000
60 response/correct -0.281 0.000
61 response/correct -0.383 0.000
62 response/correct -0.375 0.000
63 response/correct -0.281 0.000
64 response/correct -0.344 0.000
65 response/incorrect -0.320 0.000
66 response/correct -0.445 0.000
67 response/incorrect -0.359 0.000
68 response/correct -0.453 0.000
69 response/correct -0.461 0.000
70 response/correct -0.430 0.000
71 response/correct -0.328 0.000
72 response/correct -0.453 0.000
73 response/correct -0.359 0.000
74 response/correct -0.398 0.000
75 response/correct -0.438 0.000
76 response/correct -0.305 0.000
77 response/correct -0.398 0.000
78 response/correct -0.492 0.000
79 response/correct -0.352 0.000
80 response/correct -0.312 0.000
81 response/correct -0.297 0.000
82 response/correct -0.516 0.000
83 response/correct -0.383 0.000
84 response/correct -0.305 0.000
85 response/correct -0.477 0.000
86 response/correct -0.375 0.000
87 response/correct -0.375 0.000
88 response/correct -0.352 0.000
89 response/correct -0.328 0.000
90 response/incorrect -0.367 0.000
91 response/correct -0.445 0.000
92 response/correct -0.430 0.000
93 response/correct -0.391 0.000
94 response/correct -0.398 0.000
95 response/correct -0.391 0.000
96 response/correct -0.383 0.000
97 response/correct -0.336 0.000
98 response/correct -0.328 0.000
99 response/correct -0.273 0.000
100 response/incorrect -0.258 0.000
101 response/incorrect -0.414 0.000
102 response/correct -0.562 0.000
103 response/correct -0.305 0.000
104 response/incorrect -0.305 0.000
105 response/correct -0.414 0.000
106 response/incorrect -0.289 0.000
107 response/correct -0.430 0.000
108 response/correct -0.352 0.000
109 response/correct -0.312 0.000
110 response/correct -0.281 0.000
111 response/incorrect -0.266 0.000
112 response/correct -0.430 0.000
113 response/correct -0.414 0.000
114 response/correct -0.438 0.000
115 response/correct -0.375 0.000
116 response/correct -0.320 0.000
117 response/correct -0.398 0.000
118 response/correct -0.359 0.000
119 response/correct -0.398 0.000
120 response/correct -0.352 0.000
121 response/correct -0.398 0.000
122 response/correct -0.469 0.000
123 response/correct -0.352 0.000
124 response/correct -0.414 0.000
125 response/correct -0.312 0.000
126 response/correct -0.312 0.000
127 response/correct -0.453 0.000
128 response/correct -0.391 0.000
129 response/correct -0.453 0.000
130 response/correct -0.320 0.000
131 response/correct -0.375 0.000
132 response/correct -0.391 0.000
133 response/incorrect -0.344 0.000
134 response/correct -0.406 0.000
135 response/incorrect -0.336 0.000
136 response/incorrect -0.305 0.000
137 response/correct -0.391 0.000
138 response/correct -0.328 0.000
139 response/correct -0.406 0.000
140 response/correct -0.398 0.000
141 response/correct -0.383 0.000
142 response/incorrect -0.289 0.000
143 response/correct -0.344 0.000
144 response/correct -0.406 0.000
145 response/correct -0.531 0.000
146 response/correct -0.406 0.000
147 response/correct -0.375 0.000
148 response/correct -0.352 0.000
149 response/correct -0.352 0.000
150 response/incorrect -0.359 0.000
151 response/correct -0.523 0.000
152 response/correct -0.430 0.000
153 response/correct -0.344 0.000
154 response/correct -0.477 0.000
155 response/correct -0.406 0.000
156 response/correct -0.422 0.000
157 response/correct -0.398 0.000
158 response/correct -0.367 0.000
159 response/correct -0.414 0.000
160 response/correct -0.430 0.000
161 response/correct -0.367 0.000
162 response/correct -0.492 0.000
163 response/correct -0.445 0.000
164 response/correct -0.445 0.000
165 response/correct -0.430 0.000
166 response/correct -0.461 0.000
167 response/correct -0.438 0.000
168 response/correct -0.430 0.000
169 response/correct -0.367 0.000
170 response/correct -0.430 0.000
171 response/correct -0.391 0.000
172 response/correct -0.430 0.000
173 response/correct -0.398 0.000
174 response/correct -0.414 0.000
175 response/correct -0.289 0.000
176 response/correct -0.398 0.000
177 response/correct -0.375 0.000
178 response/correct -0.328 0.000
179 response/incorrect -0.266 0.000
180 response/correct -0.461 0.000
181 response/correct -0.320 0.000
182 response/correct -0.430 0.000
183 response/correct -0.352 0.000
184 response/correct -0.375 0.000
185 response/correct -0.422 0.000
186 response/correct -0.375 0.000
187 response/correct -0.305 0.000
188 response/incorrect -0.227 0.000
189 response/correct -0.305 0.000
190 response/correct -0.320 0.000
191 response/correct -0.375 0.000
192 response/correct -0.453 0.000
193 response/correct -0.297 0.000
194 response/incorrect -0.383 0.000
195 response/correct -0.398 0.000
196 response/correct -0.383 0.000
197 response/correct -0.320 0.000
198 response/correct -0.391 0.000
199 response/correct -0.359 0.000
200 response/incorrect -0.367 0.000
201 response/correct -0.383 0.000
202 response/correct -0.484 0.000
203 response/correct -0.453 0.000
204 response/correct -0.516 0.000
205 response/incorrect -0.375 0.000
206 response/correct -0.492 0.000
207 response/correct -0.352 0.000
208 response/correct -0.477 0.000
209 response/correct -0.461 0.000
210 response/correct -0.398 0.000
211 response/correct -0.422 0.000
212 response/correct -0.492 0.000
213 response/correct -0.336 0.000
214 response/correct -0.359 0.000
215 response/correct -0.367 0.000
216 response/correct -0.336 0.000
217 response/incorrect -0.312 0.000
218 response/correct -0.375 0.000
219 response/correct -0.414 0.000
220 response/correct -0.383 0.000
221 response/correct -0.352 0.000
222 response/correct -0.320 0.000
223 response/correct -0.422 0.000
224 response/correct -0.477 0.000
225 response/correct 0.000
226 response/correct -0.422 0.000
227 response/correct -0.508 0.000
228 response/correct -0.422 0.000
229 response/correct -0.508 0.000
230 response/correct -0.453 0.000
231 response/correct -0.445 0.000
232 response/correct -0.398 0.000
233 response/correct -0.328 0.000
234 response/correct -0.422 0.000
235 response/correct -0.383 0.000
236 response/correct -0.367 0.000
237 response/correct -0.352 0.000
238 response/correct -0.375 0.000
239 response/correct -0.383 0.000
240 response/correct -0.406 0.000
241 response/correct -0.344 0.000
242 response/correct -0.500 0.000
243 response/correct -0.312 0.000
244 response/correct -0.398 0.000
245 response/correct -0.258 0.000
246 response/correct -0.273 0.000
247 response/correct -0.266 0.000
248 response/correct -0.359 0.000
249 response/correct -0.336 0.000
250 response/incorrect -0.328 0.000
251 response/correct -0.383 0.000
252 response/incorrect -0.344 0.000
253 response/incorrect -0.289 0.000
254 response/correct -0.398 0.000
255 response/correct -0.398 0.000
256 response/correct -0.445 0.000
257 response/correct -0.359 0.000
258 response/correct -0.516 0.000
259 response/correct -0.453 0.000
260 response/correct -0.359 0.000
261 response/correct -0.305 0.000
262 response/correct -0.297 0.000
263 response/incorrect -0.305 0.000
264 response/correct -0.250 0.000
265 response/correct -0.375 0.000
266 response/correct -0.242 0.000
267 response/incorrect -0.281 0.000
268 response/correct -0.328 0.000
269 response/correct -0.359 0.000
270 response/correct -0.312 0.000
271 response/incorrect -0.242 0.000
272 response/correct -0.461 0.000
273 response/correct -0.320 0.000
274 response/correct -0.297 0.000
275 response/correct -0.320 0.000
276 response/correct -0.312 0.000
277 response/correct -0.336 0.000
278 response/incorrect -0.281 0.000
279 response/incorrect -0.203 0.000
280 response/incorrect -0.352 0.000
281 response/correct -0.359 0.000
282 response/correct -0.367 0.000
283 response/correct -0.477 0.000
284 response/correct -0.297 0.000
285 response/correct -0.414 0.000
286 response/incorrect -0.328 0.000
287 response/correct -0.414 0.000
288 response/correct -0.359 0.000
289 response/incorrect -0.336 0.000
290 response/correct -0.430 0.000
291 response/correct -0.406 0.000
292 response/correct -0.289 0.000
293 response/correct 0.000
294 response/correct -0.430 0.000
295 response/correct -0.375 0.000
296 response/correct -0.375 0.000
297 response/correct -0.344 0.000
298 response/correct -0.359 0.000
299 response/correct -0.375 0.000
300 response/correct -0.406 0.000
301 response/correct -0.398 0.000
302 response/correct -0.438 0.000
303 response/correct -0.406 0.000
304 response/correct -0.375 0.000
305 response/correct -0.328 0.000
306 response/correct -0.359 0.000
307 response/correct -0.398 0.000
308 response/correct -0.344 0.000
309 response/correct -0.297 0.000
310 response/correct -0.477 0.000
311 response/correct -0.414 0.000
312 response/correct -0.406 0.000
313 response/incorrect -0.320 0.000
314 response/correct -0.445 0.000
315 response/correct -0.336 0.000
316 response/correct -0.375 0.000
317 response/correct -0.445 0.000
318 response/correct -0.414 0.000
319 response/correct -0.383 0.000
320 response/correct -0.453 0.000
321 response/correct -0.531 0.000
322 response/correct -0.500 0.000
323 response/correct -0.414 0.000
324 response/correct -0.289 0.000
325 response/correct -0.305 0.000
326 response/correct -0.367 0.000
327 response/correct -0.422 0.000
328 response/correct -0.508 0.000
329 response/correct -0.359 0.000
330 response/correct -0.273 0.000
331 response/incorrect -0.211 0.000
332 response/correct -0.344 0.000
333 response/correct -0.328 0.000
334 response/correct -0.359 0.000
335 response/incorrect -0.297 0.000
336 response/correct -0.328 0.000
337 response/incorrect -0.328 0.000
338 response/correct -0.406 0.000
339 response/correct -0.391 0.000
340 response/incorrect -0.320 0.000
341 response/correct -0.367 0.000
342 response/correct -0.469 0.000
343 response/correct -0.320 0.000
344 response/incorrect -0.352 0.000
345 response/correct -0.305 0.000
346 response/correct -0.438 0.000
347 response/correct -0.453 0.000
348 response/correct -0.398 0.000
349 response/correct -0.484 0.000
350 response/correct -0.367 0.000
351 response/correct -0.398 0.000
352 response/incorrect -0.305 0.000
353 response/incorrect -0.234 0.000
354 response/correct -0.281 0.000
355 response/incorrect -0.242 0.000
356 response/correct -0.383 0.000
357 response/correct -0.391 0.000
358 response/correct -0.297 0.000
359 response/incorrect -0.234 0.000
360 response/incorrect -0.211 0.000
361 response/correct -0.352 0.000
362 response/correct -0.438 0.000
363 response/correct -0.430 0.000
364 response/correct -0.320 0.000
365 response/correct -0.328 0.000
366 response/correct -0.375 0.000
367 response/correct -0.367 0.000
368 response/correct -0.352 0.000
369 response/correct -0.352 0.000
370 response/correct -0.391 0.000
371 response/correct -0.359 0.000
372 response/incorrect -0.336 0.000
373 response/correct -0.391 0.000
374 response/correct -0.367 0.000
375 response/correct -0.484 0.000
376 response/correct -0.453 0.000
377 response/correct -0.484 0.000
378 response/correct -0.422 0.000
379 response/correct -0.297 0.000
380 response/correct -0.352 0.000
381 response/correct -0.383 0.000
382 response/correct -0.328 0.000
383 response/correct -0.453 0.000
384 response/incorrect -0.391 0.000
385 response/correct -0.297 0.000
386 response/correct -0.344 0.000
387 response/correct -0.336 0.000
388 response/correct -0.312 0.000
389 response/correct -0.352 0.000
390 response/correct -0.320 0.000
391 response/correct -0.414 0.000
392 response/correct -0.289 0.000
393 response/correct -0.312 0.000
394 response/correct -0.344 0.000
395 response/incorrect -0.312 0.000
396 response/correct -0.398 0.000
397 response/correct -0.359 0.000
398 response/correct -0.375 0.000
399 response/correct -0.445 0.000
400 response/correct -0.453 0.000
401 response/correct -0.375 0.000

402 rows × 8 columns

No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 30 epochs (30.0 s).
Method picard
Fit parameters fastica_it=5
max_iter=1000
Fit 103 iterations on epochs (26130 samples)
ICA components 28
Available PCA components 29
Channel types eeg
ICA components marked for exclusion ICA001
ICA003
ICA004
ICA005
ICA010
ICA026
General
Filename(s) sub-015_ses-ERN_task-ERN_proc-filt_raw.fif
MNE object type Raw
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Duration 00:12:09 (HH:MM:SS)
Sampling frequency 128.00 Hz
Time points 93,312
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
PSD
{'eeg': np.float64(0.00010475140926616776)}
General
Filename(s) sub-015_ses-ERN_task-ERN_proc-ica_epo.fif
MNE object type EpochsFIF
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Total number of events 402
Events counts response/correct: 351
response/incorrect: 51
Time range -0.602 – 0.398 s
Baseline -0.400 – -0.200 s
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
EOG
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
Epoch # event_name compatible/left compatible/right incompatible/left incompatible/right response/correct response/incorrect
0 response/incorrect 0.000
1 response/correct 0.000
2 response/correct -0.430 0.000
3 response/correct -0.375 0.000
4 response/correct -0.383 0.000
5 response/correct -0.414 0.000
6 response/correct -0.391 0.000
7 response/correct -0.570 0.000
8 response/correct -0.461 0.000
9 response/correct -0.391 0.000
10 response/correct -0.383 0.000
11 response/correct -0.320 0.000
12 response/incorrect -0.336 0.000
13 response/incorrect -0.477 0.000
14 response/correct -0.406 0.000
15 response/correct -0.523 0.000
16 response/correct -0.375 0.000
17 response/correct -0.375 0.000
18 response/correct -0.398 0.000
19 response/correct -0.492 0.000
20 response/correct -0.430 0.000
21 response/correct -0.344 0.000
22 response/correct -0.359 0.000
23 response/incorrect -0.273 0.000
24 response/correct -0.312 0.000
25 response/correct -0.344 0.000
26 response/correct -0.461 0.000
27 response/correct -0.422 0.000
28 response/correct -0.414 0.000
29 response/correct -0.453 0.000
30 response/correct -0.422 0.000
31 response/correct -0.602 0.000
32 response/correct -0.383 0.000
33 response/correct -0.414 0.000
34 response/correct -0.469 0.000
35 response/correct -0.445 0.000
36 response/correct -0.406 0.000
37 response/correct -0.438 0.000
38 response/correct -0.320 0.000
39 response/correct -0.469 0.000
40 response/correct -0.344 0.000
41 response/correct -0.477 0.000
42 response/correct -0.422 0.000
43 response/incorrect -0.391 0.000
44 response/correct -0.406 0.000
45 response/correct -0.367 0.000
46 response/incorrect -0.305 0.000
47 response/correct -0.422 0.000
48 response/correct -0.406 0.000
49 response/correct -0.344 0.000
50 response/correct -0.312 0.000
51 response/correct -0.453 0.000
52 response/correct -0.305 0.000
53 response/incorrect -0.344 0.000
54 response/correct -0.422 0.000
55 response/correct -0.312 0.000
56 response/correct -0.359 0.000
57 response/correct -0.445 0.000
58 response/correct -0.305 0.000
59 response/correct -0.398 0.000
60 response/correct -0.281 0.000
61 response/correct -0.383 0.000
62 response/correct -0.375 0.000
63 response/correct -0.281 0.000
64 response/correct -0.344 0.000
65 response/incorrect -0.320 0.000
66 response/correct -0.445 0.000
67 response/incorrect -0.359 0.000
68 response/correct -0.453 0.000
69 response/correct -0.461 0.000
70 response/correct -0.430 0.000
71 response/correct -0.328 0.000
72 response/correct -0.453 0.000
73 response/correct -0.359 0.000
74 response/correct -0.398 0.000
75 response/correct -0.438 0.000
76 response/correct -0.305 0.000
77 response/correct -0.398 0.000
78 response/correct -0.492 0.000
79 response/correct -0.352 0.000
80 response/correct -0.312 0.000
81 response/correct -0.297 0.000
82 response/correct -0.516 0.000
83 response/correct -0.383 0.000
84 response/correct -0.305 0.000
85 response/correct -0.477 0.000
86 response/correct -0.375 0.000
87 response/correct -0.375 0.000
88 response/correct -0.352 0.000
89 response/correct -0.328 0.000
90 response/incorrect -0.367 0.000
91 response/correct -0.445 0.000
92 response/correct -0.430 0.000
93 response/correct -0.391 0.000
94 response/correct -0.398 0.000
95 response/correct -0.391 0.000
96 response/correct -0.383 0.000
97 response/correct -0.336 0.000
98 response/correct -0.328 0.000
99 response/correct -0.273 0.000
100 response/incorrect -0.258 0.000
101 response/incorrect -0.414 0.000
102 response/correct -0.562 0.000
103 response/correct -0.305 0.000
104 response/incorrect -0.305 0.000
105 response/correct -0.414 0.000
106 response/incorrect -0.289 0.000
107 response/correct -0.430 0.000
108 response/correct -0.352 0.000
109 response/correct -0.312 0.000
110 response/correct -0.281 0.000
111 response/incorrect -0.266 0.000
112 response/correct -0.430 0.000
113 response/correct -0.414 0.000
114 response/correct -0.438 0.000
115 response/correct -0.375 0.000
116 response/correct -0.320 0.000
117 response/correct -0.398 0.000
118 response/correct -0.359 0.000
119 response/correct -0.398 0.000
120 response/correct -0.352 0.000
121 response/correct -0.398 0.000
122 response/correct -0.469 0.000
123 response/correct -0.352 0.000
124 response/correct -0.414 0.000
125 response/correct -0.312 0.000
126 response/correct -0.312 0.000
127 response/correct -0.453 0.000
128 response/correct -0.391 0.000
129 response/correct -0.453 0.000
130 response/correct -0.320 0.000
131 response/correct -0.375 0.000
132 response/correct -0.391 0.000
133 response/incorrect -0.344 0.000
134 response/correct -0.406 0.000
135 response/incorrect -0.336 0.000
136 response/incorrect -0.305 0.000
137 response/correct -0.391 0.000
138 response/correct -0.328 0.000
139 response/correct -0.406 0.000
140 response/correct -0.398 0.000
141 response/correct -0.383 0.000
142 response/incorrect -0.289 0.000
143 response/correct -0.344 0.000
144 response/correct -0.406 0.000
145 response/correct -0.531 0.000
146 response/correct -0.406 0.000
147 response/correct -0.375 0.000
148 response/correct -0.352 0.000
149 response/correct -0.352 0.000
150 response/incorrect -0.359 0.000
151 response/correct -0.523 0.000
152 response/correct -0.430 0.000
153 response/correct -0.344 0.000
154 response/correct -0.477 0.000
155 response/correct -0.406 0.000
156 response/correct -0.422 0.000
157 response/correct -0.398 0.000
158 response/correct -0.367 0.000
159 response/correct -0.414 0.000
160 response/correct -0.430 0.000
161 response/correct -0.367 0.000
162 response/correct -0.492 0.000
163 response/correct -0.445 0.000
164 response/correct -0.445 0.000
165 response/correct -0.430 0.000
166 response/correct -0.461 0.000
167 response/correct -0.438 0.000
168 response/correct -0.430 0.000
169 response/correct -0.367 0.000
170 response/correct -0.430 0.000
171 response/correct -0.391 0.000
172 response/correct -0.430 0.000
173 response/correct -0.398 0.000
174 response/correct -0.414 0.000
175 response/correct -0.289 0.000
176 response/correct -0.398 0.000
177 response/correct -0.375 0.000
178 response/correct -0.328 0.000
179 response/incorrect -0.266 0.000
180 response/correct -0.461 0.000
181 response/correct -0.320 0.000
182 response/correct -0.430 0.000
183 response/correct -0.352 0.000
184 response/correct -0.375 0.000
185 response/correct -0.422 0.000
186 response/correct -0.375 0.000
187 response/correct -0.305 0.000
188 response/incorrect -0.227 0.000
189 response/correct -0.305 0.000
190 response/correct -0.320 0.000
191 response/correct -0.375 0.000
192 response/correct -0.453 0.000
193 response/correct -0.297 0.000
194 response/incorrect -0.383 0.000
195 response/correct -0.398 0.000
196 response/correct -0.383 0.000
197 response/correct -0.320 0.000
198 response/correct -0.391 0.000
199 response/correct -0.359 0.000
200 response/incorrect -0.367 0.000
201 response/correct -0.383 0.000
202 response/correct -0.484 0.000
203 response/correct -0.453 0.000
204 response/correct -0.516 0.000
205 response/incorrect -0.375 0.000
206 response/correct -0.492 0.000
207 response/correct -0.352 0.000
208 response/correct -0.477 0.000
209 response/correct -0.461 0.000
210 response/correct -0.398 0.000
211 response/correct -0.422 0.000
212 response/correct -0.492 0.000
213 response/correct -0.336 0.000
214 response/correct -0.359 0.000
215 response/correct -0.367 0.000
216 response/correct -0.336 0.000
217 response/incorrect -0.312 0.000
218 response/correct -0.375 0.000
219 response/correct -0.414 0.000
220 response/correct -0.383 0.000
221 response/correct -0.352 0.000
222 response/correct -0.320 0.000
223 response/correct -0.422 0.000
224 response/correct -0.477 0.000
225 response/correct 0.000
226 response/correct -0.422 0.000
227 response/correct -0.508 0.000
228 response/correct -0.422 0.000
229 response/correct -0.508 0.000
230 response/correct -0.453 0.000
231 response/correct -0.445 0.000
232 response/correct -0.398 0.000
233 response/correct -0.328 0.000
234 response/correct -0.422 0.000
235 response/correct -0.383 0.000
236 response/correct -0.367 0.000
237 response/correct -0.352 0.000
238 response/correct -0.375 0.000
239 response/correct -0.383 0.000
240 response/correct -0.406 0.000
241 response/correct -0.344 0.000
242 response/correct -0.500 0.000
243 response/correct -0.312 0.000
244 response/correct -0.398 0.000
245 response/correct -0.258 0.000
246 response/correct -0.273 0.000
247 response/correct -0.266 0.000
248 response/correct -0.359 0.000
249 response/correct -0.336 0.000
250 response/incorrect -0.328 0.000
251 response/correct -0.383 0.000
252 response/incorrect -0.344 0.000
253 response/incorrect -0.289 0.000
254 response/correct -0.398 0.000
255 response/correct -0.398 0.000
256 response/correct -0.445 0.000
257 response/correct -0.359 0.000
258 response/correct -0.516 0.000
259 response/correct -0.453 0.000
260 response/correct -0.359 0.000
261 response/correct -0.305 0.000
262 response/correct -0.297 0.000
263 response/incorrect -0.305 0.000
264 response/correct -0.250 0.000
265 response/correct -0.375 0.000
266 response/correct -0.242 0.000
267 response/incorrect -0.281 0.000
268 response/correct -0.328 0.000
269 response/correct -0.359 0.000
270 response/correct -0.312 0.000
271 response/incorrect -0.242 0.000
272 response/correct -0.461 0.000
273 response/correct -0.320 0.000
274 response/correct -0.297 0.000
275 response/correct -0.320 0.000
276 response/correct -0.312 0.000
277 response/correct -0.336 0.000
278 response/incorrect -0.281 0.000
279 response/incorrect -0.203 0.000
280 response/incorrect -0.352 0.000
281 response/correct -0.359 0.000
282 response/correct -0.367 0.000
283 response/correct -0.477 0.000
284 response/correct -0.297 0.000
285 response/correct -0.414 0.000
286 response/incorrect -0.328 0.000
287 response/correct -0.414 0.000
288 response/correct -0.359 0.000
289 response/incorrect -0.336 0.000
290 response/correct -0.430 0.000
291 response/correct -0.406 0.000
292 response/correct -0.289 0.000
293 response/correct 0.000
294 response/correct -0.430 0.000
295 response/correct -0.375 0.000
296 response/correct -0.375 0.000
297 response/correct -0.344 0.000
298 response/correct -0.359 0.000
299 response/correct -0.375 0.000
300 response/correct -0.406 0.000
301 response/correct -0.398 0.000
302 response/correct -0.438 0.000
303 response/correct -0.406 0.000
304 response/correct -0.375 0.000
305 response/correct -0.328 0.000
306 response/correct -0.359 0.000
307 response/correct -0.398 0.000
308 response/correct -0.344 0.000
309 response/correct -0.297 0.000
310 response/correct -0.477 0.000
311 response/correct -0.414 0.000
312 response/correct -0.406 0.000
313 response/incorrect -0.320 0.000
314 response/correct -0.445 0.000
315 response/correct -0.336 0.000
316 response/correct -0.375 0.000
317 response/correct -0.445 0.000
318 response/correct -0.414 0.000
319 response/correct -0.383 0.000
320 response/correct -0.453 0.000
321 response/correct -0.531 0.000
322 response/correct -0.500 0.000
323 response/correct -0.414 0.000
324 response/correct -0.289 0.000
325 response/correct -0.305 0.000
326 response/correct -0.367 0.000
327 response/correct -0.422 0.000
328 response/correct -0.508 0.000
329 response/correct -0.359 0.000
330 response/correct -0.273 0.000
331 response/incorrect -0.211 0.000
332 response/correct -0.344 0.000
333 response/correct -0.328 0.000
334 response/correct -0.359 0.000
335 response/incorrect -0.297 0.000
336 response/correct -0.328 0.000
337 response/incorrect -0.328 0.000
338 response/correct -0.406 0.000
339 response/correct -0.391 0.000
340 response/incorrect -0.320 0.000
341 response/correct -0.367 0.000
342 response/correct -0.469 0.000
343 response/correct -0.320 0.000
344 response/incorrect -0.352 0.000
345 response/correct -0.305 0.000
346 response/correct -0.438 0.000
347 response/correct -0.453 0.000
348 response/correct -0.398 0.000
349 response/correct -0.484 0.000
350 response/correct -0.367 0.000
351 response/correct -0.398 0.000
352 response/incorrect -0.305 0.000
353 response/incorrect -0.234 0.000
354 response/correct -0.281 0.000
355 response/incorrect -0.242 0.000
356 response/correct -0.383 0.000
357 response/correct -0.391 0.000
358 response/correct -0.297 0.000
359 response/incorrect -0.234 0.000
360 response/incorrect -0.211 0.000
361 response/correct -0.352 0.000
362 response/correct -0.438 0.000
363 response/correct -0.430 0.000
364 response/correct -0.320 0.000
365 response/correct -0.328 0.000
366 response/correct -0.375 0.000
367 response/correct -0.367 0.000
368 response/correct -0.352 0.000
369 response/correct -0.352 0.000
370 response/correct -0.391 0.000
371 response/correct -0.359 0.000
372 response/incorrect -0.336 0.000
373 response/correct -0.391 0.000
374 response/correct -0.367 0.000
375 response/correct -0.484 0.000
376 response/correct -0.453 0.000
377 response/correct -0.484 0.000
378 response/correct -0.422 0.000
379 response/correct -0.297 0.000
380 response/correct -0.352 0.000
381 response/correct -0.383 0.000
382 response/correct -0.328 0.000
383 response/correct -0.453 0.000
384 response/incorrect -0.391 0.000
385 response/correct -0.297 0.000
386 response/correct -0.344 0.000
387 response/correct -0.336 0.000
388 response/correct -0.312 0.000
389 response/correct -0.352 0.000
390 response/correct -0.320 0.000
391 response/correct -0.414 0.000
392 response/correct -0.289 0.000
393 response/correct -0.312 0.000
394 response/correct -0.344 0.000
395 response/incorrect -0.312 0.000
396 response/correct -0.398 0.000
397 response/correct -0.359 0.000
398 response/correct -0.375 0.000
399 response/correct -0.445 0.000
400 response/correct -0.453 0.000
401 response/correct -0.375 0.000

402 rows × 8 columns

ERP image (EEG)
No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 30 epochs (30.0 s).
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Aggregation average of 351 epochs
Condition response/correct
Time range -0.602 – 0.398 s
Baseline -0.400 – -0.200 s
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
Time course (EEG)
Global field power
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Aggregation average of 51 epochs
Condition response/incorrect
Time range -0.602 – 0.398 s
Baseline -0.400 – -0.200 s
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
Time course (EEG)
Global field power
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-015
Experimenter Unknown
Acquisition
Aggregation average of 45 epochs
Condition response/incorrect - response/correct
Time range -0.602 – 0.398 s
Baseline -0.400 – -0.200 s
Sampling frequency 128.00 Hz
Time points 129
Channels
EEG and
Head & sensor digitization 33 points
Filters
Highpass 0.10 Hz
Lowpass 64.00 Hz
Time course (EEG)
Global field power
Full-epochs decoding
Each black dot represents the single cross-validation score. The red cross is the mean of all 5 cross-validation scores. The dashed line is expected chance performance.
Decoding over time: response/incorrect vs. response/correct
Time-by-time decoding: 51 × response/incorrect vs. 351 × response/correct
Time generalization: response/incorrect vs. response/correct
Time generalization (generalization across time, GAT): each classifier is trained on each time point, and tested on all other time points.
CSP decoding: response/incorrect vs. response/correct
Each black dot represents the single cross-validation score. The red cross is the mean of all 5 cross-validation scores. The dashed line is expected chance performance.
CSP TF decoding: response/incorrect vs. response/correct
  """ERP CORE.

This example demonstrates how to process 5 participants from the
[ERP CORE](https://erpinfo.org/erp-core) dataset. It shows how to obtain 7 ERP
components from a total of 6 experimental tasks:

- N170 (face perception)
- MMN (passive auditory oddball)
- N2pc (visual search)
- N400 (word pair judgment)
- P3b (active visual oddball)
- LRP and ERN (flankers task)

## Dataset information

- **Authors:** Emily S. Kappenman, Jaclyn L. Farrens, Wendy Zhang,
                       Andrew X. Stewart, and Steven J. Luck
- **License:** CC-BY-4.0
- **URL:** [https://erpinfo.org/erp-core](https://erpinfo.org/erp-core)
- **Citation:** Kappenman, E., Farrens, J., Zhang, W., Stewart, A. X.,
                & Luck, S. J. (2021). ERP CORE: An open resource for human
                event-related potential research. *NeuroImage* 225: 117465.
                [https://doi.org/10.1016/j.neuroimage.2020.117465](https://doi.org/10.1016/j.neuroimage.2020.117465)
"""

import argparse
import sys

import mne

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

# Find the --task option
args = [arg for arg in sys.argv if arg.startswith("--task") or not arg.startswith("-")]
parser = argparse.ArgumentParser()
parser.add_argument("ignored", nargs="*")
parser.add_argument(
    "--task", choices=("N400", "ERN", "LRP", "MMN", "N2pc", "N170", "P3"), required=True
)
task = parser.parse_args(args).task
sessions = [task]

subjects = ["015", "016", "017", "018", "019"]

ch_types = ["eeg"]
interactive = False

raw_resample_sfreq = 128
# Suppress "Data file name in EEG.data (sub-019_task-ERN_eeg.fdt) is incorrect..."
read_raw_bids_verbose = "error"

eeg_template_montage = mne.channels.make_standard_montage("standard_1005")
eeg_bipolar_channels = {
    "HEOG": ("HEOG_left", "HEOG_right"),
    "VEOG": ("VEOG_lower", "FP2"),
}
drop_channels = ["HEOG_left", "HEOG_right", "VEOG_lower"]
eog_channels = ["HEOG", "VEOG"]

l_freq = 0.1
h_freq = None
notch_freq = 60

decode = True
decoding_time_generalization = True
decoding_time_generalization_decim = 2

find_breaks = True
min_break_duration = 10
t_break_annot_start_after_previous_event = 3.0
t_break_annot_stop_before_next_event = 1.5

if task == "N400":  # test autoreject local without ICA
    spatial_filter = None
    reject = "autoreject_local"
    autoreject_n_interpolate = [2, 4]
elif task == "N170":  # test autoreject local before ICA
    spatial_filter = "ica"
    ica_reject = "autoreject_local"
    reject = "autoreject_global"
    autoreject_n_interpolate = [2, 4]
else:
    spatial_filter = "ica"
    ica_reject = dict(eeg=350e-6, eog=500e-6)
    reject = "autoreject_global"

# These settings are only used for the cases where spatial_filter="ica"
ica_max_iterations = 1000
ica_eog_threshold = 2
ica_decim = 2  # speed up ICA fitting

run_source_estimation = False
on_rename_missing_events = "ignore"

parallel_backend = "dask"
dask_worker_memory_limit = "2.5G"
n_jobs = 4

if task == "N400":
    dask_open_dashboard = True

    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
        "stimulus/111": "stimulus/prime/related",
        "stimulus/112": "stimulus/prime/related",
        "stimulus/121": "stimulus/prime/unrelated",
        "stimulus/122": "stimulus/prime/unrelated",
        "stimulus/211": "stimulus/target/related",
        "stimulus/212": "stimulus/target/related",
        "stimulus/221": "stimulus/target/unrelated",
        "stimulus/222": "stimulus/target/unrelated",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    epochs_metadata_tmin = 0
    epochs_metadata_tmax = 1.5
    epochs_metadata_keep_first = ["stimulus/target", "response"]
    baseline = (None, 0)

    conditions = {
        "related": '`first_stimulus/target` == "related" and '
        'first_response == "correct"',
        "unrelated": '`first_stimulus/target` == "unrelated" and '
        'first_response == "correct"',
    }
    contrasts = [("unrelated", "related")]
    cluster_forming_t_threshold = 1.5  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
elif task == "ERN":
    rename_events = {
        "stimulus/11": "compatible/left",
        "stimulus/12": "compatible/right",
        "stimulus/21": "incompatible/left",
        "stimulus/22": "incompatible/right",
        "response/111": "response/correct",
        "response/112": "response/incorrect",
        "response/121": "response/correct",
        "response/122": "response/incorrect",
        "response/211": "response/incorrect",
        "response/212": "response/correct",
        "response/221": "response/incorrect",
        "response/222": "response/correct",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.6
    epochs_tmax = 0.4
    baseline = (-0.4, -0.2)
    conditions = ["response/correct", "response/incorrect"]
    contrasts = [("response/incorrect", "response/correct")]
    cluster_forming_t_threshold = 5  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
    decoding_csp = True
    decoding_csp_freqs = {
        "theta": [4, 7],
        "alpha": [8, 12],
        "beta": [13, 20, 30],
        "gamma": [50, 63],
    }
    decoding_csp_times = [-0.2, 0.0, 0.2, 0.4]
elif task == "LRP":
    rename_events = {
        "stimulus/11": "compatible/left",
        "stimulus/12": "compatible/right",
        "stimulus/21": "incompatible/left",
        "stimulus/22": "incompatible/right",
        "response/111": "response/left/correct",
        "response/112": "response/left/incorrect",
        "response/121": "response/left/correct",
        "response/122": "response/left/incorrect",
        "response/211": "response/right/incorrect",
        "response/212": "response/right/correct",
        "response/221": "response/right/incorrect",
        "response/222": "response/right/correct",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.8
    epochs_tmax = 0.2
    baseline = (None, -0.6)
    conditions = ["response/left", "response/right"]
    contrasts = [("response/right", "response/left")]  # contralateral vs ipsi
elif task == "MMN":
    rename_events = {
        "stimulus/70": "stimulus/deviant",
        "stimulus/80": "stimulus/standard",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/standard", "stimulus/deviant"]
    contrasts = [("stimulus/deviant", "stimulus/standard")]
elif task == "N2pc":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
        "stimulus/111": "stimulus/blue/left",
        "stimulus/112": "stimulus/blue/left",
        "stimulus/121": "stimulus/blue/right",
        "stimulus/122": "stimulus/blue/right",
        "stimulus/211": "stimulus/pink/left",
        "stimulus/212": "stimulus/pink/left",
        "stimulus/221": "stimulus/pink/right",
        "stimulus/222": "stimulus/pink/right",
    }

    eeg_reference = ["P9", "P10"]
    # Analyze all EEG channels -- we only specify the channels here for the purpose of
    # demonstration
    analyze_channels = [
        "FP1",
        "F3",
        "F7",
        "FC3",
        "C3",
        "C5",
        "P3",
        "P7",
        "P9",
        "PO7",
        "PO3",
        "O1",
        "Oz",
        "Pz",
        "CPz",
        "FP2",
        "Fz",
        "F4",
        "F8",
        "FC4",
        "FCz",
        "Cz",
        "C4",
        "C6",
        "P4",
        "P8",
        "P10",
        "PO8",
        "PO4",
        "O2",
    ]

    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/right", "stimulus/left"]
    contrasts = [("stimulus/right", "stimulus/left")]  # Contralteral vs ipsi
elif task == "N170":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
    }

    eeg_reference = "average"
    # Analyze all EEG channels -- we only specify the channels here for the purpose of
    # demonstration
    analyze_channels = [
        "FP1",
        "F3",
        "F7",
        "FC3",
        "C3",
        "C5",
        "P3",
        "P7",
        "P9",
        "PO7",
        "PO3",
        "O1",
        "Oz",
        "Pz",
        "CPz",
        "FP2",
        "Fz",
        "F4",
        "F8",
        "FC4",
        "FCz",
        "Cz",
        "C4",
        "C6",
        "P4",
        "P8",
        "P10",
        "PO8",
        "PO4",
        "O2",
    ]

    ica_n_components = 30 - 1
    for i in range(1, 180 + 1):
        orig_name = f"stimulus/{i}"

        if 1 <= i <= 40:
            new_name = "stimulus/face/normal"
        elif 41 <= i <= 80:
            new_name = "stimulus/car/normal"
        elif 101 <= i <= 140:
            new_name = "stimulus/face/scrambled"
        elif 141 <= i <= 180:
            new_name = "stimulus/car/scrambled"
        else:
            continue

        rename_events[orig_name] = new_name

    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/face/normal", "stimulus/car/normal"]
    contrasts = [("stimulus/face/normal", "stimulus/car/normal")]
elif task == "P3":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/incorrect",
        "stimulus/11": "stimulus/target/11",
        "stimulus/22": "stimulus/target/22",
        "stimulus/33": "stimulus/target/33",
        "stimulus/44": "stimulus/target/44",
        "stimulus/55": "stimulus/target/55",
        "stimulus/21": "stimulus/non-target/21",
        "stimulus/31": "stimulus/non-target/31",
        "stimulus/41": "stimulus/non-target/41",
        "stimulus/51": "stimulus/non-target/51",
        "stimulus/12": "stimulus/non-target/12",
        "stimulus/32": "stimulus/non-target/32",
        "stimulus/42": "stimulus/non-target/42",
        "stimulus/52": "stimulus/non-target/52",
        "stimulus/13": "stimulus/non-target/13",
        "stimulus/23": "stimulus/non-target/23",
        "stimulus/43": "stimulus/non-target/43",
        "stimulus/53": "stimulus/non-target/53",
        "stimulus/14": "stimulus/non-target/14",
        "stimulus/24": "stimulus/non-target/24",
        "stimulus/34": "stimulus/non-target/34",
        "stimulus/54": "stimulus/non-target/54",
        "stimulus/15": "stimulus/non-target/15",
        "stimulus/25": "stimulus/non-target/25",
        "stimulus/35": "stimulus/non-target/35",
        "stimulus/45": "stimulus/non-target/45",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/target", "stimulus/non-target"]
    contrasts = [("stimulus/target", "stimulus/non-target")]
    cluster_forming_t_threshold = 0.8  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
else:
    raise RuntimeError(f"Task {task} not currently supported")

  Platform             Linux-5.15.0-1057-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               1.8.0.dev79+gcaba81b9f (devel, latest release is 1.7.1)
├☑ numpy             2.0.0 (OpenBLAS 0.3.27 with 2 threads)
├☑ scipy             1.13.1
└☑ matplotlib        3.9.0 (backend=agg)

Numerical (optional)
├☑ sklearn           1.5.0
├☑ numba             0.60.0
├☑ nibabel           5.2.1
├☑ pandas            2.2.2
├☑ h5io              0.2.3
├☑ h5py              3.11.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.43.10 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.1
├☑ vtk               9.3.0
├☑ qtpy              2.4.1 (PyQt6=6.7.1)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.16.0.dev3+g0e3cbc66a
├☑ mne-bids-pipeline 1.9.0
├☑ edfio             0.4.2
├☑ pybv              0.7.5
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, eeglabio, mffpy