Problems understanding events from annotations

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  • MNE version: 1.4.2
  • MNE-connectivity version: 0.5.0
  • operating system: Windows 10
  • Python version: 3.11.4

I’m trying to calculate connectivity between 9 sensors but I’m getting trouble understanding the concept of chunk duration and events in the method mne.events_from_annotatins()
I want to analyze the signal in 1s epochs, but I have two versions of the code, as it is shown below, with different output values.
The first one is indicating chunk duration = 1,
The second one, the raw signal is the only parameter.

event_1s_chunk = mne.events_from_annotations(raw, chunk_duration=1)
#event_1s = mne.events_from_annotations(raw) #Second option
epoc_1s_chunk = mne.Epochs(canales, event_1s_chunk[0], tmin=0, tmax=1, baseline=None)

I’m new to EEG - Connectivity topics, but to the best of my knowledge, setting epochs is the window of analysis and they would fit in my 1s chunk duration. So if I don’t indicate chunk duration, wouldn’t it be the same?

Hope I’m getting explained and someone can help me

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Hi @LEPacheco

If I’m understanding correctly, and you just want to create 1-second epochs from your raw object, then mne.make_fixed_length_epochs could be what you are looking for.

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