Evoked error

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1

External Email - Use Caution

Dear experts:

I am processing egg data. I need to do epochs.average() but it says like epochs is empty and it makes no sense to do average. When I do mne.Epochs I find that not all the channels were dropped. Depending on the event_id= dict(aud=id1).

Sincerely,
Andrade.

epochs

<Epochs | 0 events (all good), -0.199219 - 0.5 sec, baseline [None, 0], ~161 kB, data loaded,
'read': 0>

events

array([[ 18275, 0, 128],
       [ 19387, 0, 2],
       [ 20422, 0, 2],
       [ 32156, 0, 128],
       [ 46029, 0, 128],
       [ 46873, 0, 2],
       [ 47522, 0, 4],
       [ 72924, 0, 128],
       [ 73666, 0, 2],
       [ 74230, 0, 2],
       [ 92717, 0, 128],
       [ 94025, 0, 2],
       [ 94590, 0, 2],
       [108211, 0, 128],
       [109532, 0, 2],
       [110110, 0, 4],
       [130866, 0, 128],
       [131605, 0, 4],
       [132900, 0, 2],
       [156301, 0, 128],
       [157153, 0, 2],
       [157843, 0, 4],
       [176353, 0, 128],
       [177182, 0, 2],
       [177821, 0, 2],
       [191436, 0, 128],
       [192495, 0, 4],
       [193129, 0, 2],
       [233638, 0, 128],
       [234323, 0, 4],
       [234936, 0, 4],
       [248375, 0, 128],
       [249218, 0, 2],
       [249817, 0, 2],
       [255773, 0, 128],
       [256493, 0, 2],
       [257060, 0, 4],
       [286302, 0, 128],
       [287009, 0, 4],
       [287601, 0, 2],
       [320684, 0, 128],
       [321413, 0, 4],
       [340579, 0, 128],
       [341369, 0, 4],
       [342650, 0, 2],
       [383286, 0, 128],
       [384166, 0, 2],
       [384810, 0, 2],
       [406476, 0, 128],
       [407297, 0, 2],
       [407956, 0, 4],
       [409017, 0, 2],
       [444348, 0, 128],
       [445107, 0, 2],
       [445683, 0, 4],
       [446969, 0, 2],
       [482043, 0, 128],
       [482761, 0, 2],
       [483421, 0, 2],
       [521536, 0, 128],
       [522365, 0, 2],
       [523009, 0, 2],
       [535415, 0, 128],
       [536091, 0, 4],
       [536691, 0, 2],
       [573609, 0, 128],
       [574341, 0, 4],
       [574916, 0, 2],
       [588192, 0, 128],
       [588973, 0, 4],
       [589524, 0, 2],
       [611318, 0, 128],
       [612110, 0, 2],
       [612703, 0, 4],
       [613416, 0, 2],
       [634153, 0, 128],
       [635029, 0, 2],
       [635592, 0, 2],
       [636193, 0, 2],
       [662819, 0, 128],
       [663674, 0, 2],
       [664355, 0, 4],
       [665003, 0, 2],
       [677292, 0, 128],
       [678266, 0, 2],
       [678926, 0, 2],
       [679619, 0, 2]])
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2

External Email - Use Caution

When you create your epochs, include the parameter preload=True, then you will see in the output which epochs are getting dropped based on your reject criteria. Probably your criteria are too stringent, that's why it says <Epochs | 0 events ...>. Here "0 events" means all epochs were rejected. See also epochs.plot_drop_log().

-- dan
Daniel McCloy
https://dan.mccloy.info
Research Scientist
Institute for Learning and Brain Sciences
University of Washington

??? Original Message ???

3

External Email - Use Caution

Sorry I didn?t answer I had all emails in spam but I received some normally so I didn?t check for spam. Can you tell me how to know if parameters are too strict or not? How can I know how to set proper parameters? Is there any tutorial to know proper criteria?

Sincerely,
Andrade.

4

External Email - Use Caution

The answer is exactly the same as [the last time you asked](https://mail.nmr.mgh.harvard.edu/pipermail//mne_analysis/2020-April/006681.html): read [this tutorial section](https://mne.tools/dev/auto_tutorials/preprocessing/plot_20_rejecting_bad_data.html#rejecting-epochs-based-on-channel-amplitude). In particular, I call your attention to this sentence: "The values that are appropriate are dataset- and hardware-dependent, so some trial-and-error may be necessary to find the correct balance between data quality and loss of power due to too many dropped epochs."

-- dan
Daniel McCloy
https://dan.mccloy.info
Research Scientist
Institute for Learning and Brain Sciences
University of Washington

??? Original Message ???