[Mne_analysis] concatenation raws and events
J.A. Entakli
jae40 at cam.ac.uk
Fri Sep 12 08:36:48 EDT 2014
Hi,
1) Mainak : I've already try your idea, the concatenation works but the
samples are not added, so I can't use events concatenated in the big raw
file.
2) dgw : Actually I like all the 3 options. I tried the option 2. It
seems very long to do but it seems the most coherent for me. And above
all it works perfectly :)
Thank you very much,
Cheers,
John
On 11/09/2014 18:35, Mainak Jas wrote:
> Hi Jonathan,
>
> I spotted a bug in your script here:
>
> On Thu, Sep 11, 2014 at 5:44 PM, J.A. Entakli <jae40 at cam.ac.uk> wrote:
>
>> Hello Everybody,
>> During my experiment I recorded 2 blocs per subject. I am just
>> started
>> with mne_python.
>>
>> I have two questions in one ::
>> 1) I would like to know how can I concatenate the blocs and above
>> all
>> the events (corresponding to each bloc) to have just one bloc.
>> In brief, for each subject I have one bloc with its events and
>> another
>> bloc with its events also.
>>
>> raw_fname1= '...'
>> raw_fname2= '...'
>> event_fname1= '...'
>> event_fname2= '...'
>>
>> raw1 = io.Raw(raw_fname1)
>> raw2 = io.Raw(raw_fname2)
>>
>> events1 = mne.read_events(event_fname1)
>> events2 = mne.read_events(event_fname2)
>> events_list = [events1,events2]
>
> events is a numpy array, not a list. So, you need to use
> np.concatenate() to stitch the events together. Something like:
>
> import numpy as np
> events = np.concatenate((events1, events2))
>
> Does this solve your problem?
>
> Mainak
>
>> raw_conc= concatenate_raws([raw1,raw2], events_list=events_list)
>>
>> Until here I think these several code lines work correctly...
>>
>> 2) But when I try to extract the epochs from raw_conc I have some
>> error
>> messages (concerning I think the events_list)
>>
>> picks =
>> mne.pick_types(raw1.info
>> [1],meg='mag',eeg=False,ecg=False,eog=False,stim=False,
>> exclude='bads')
>> epochs = mne.Epochs(raw, events_list, event_id, tmin, tmax,
>> picks=picks,
>> baseline= baseline, reject=reject)
>>
>> The aim of both questions is to use the tfr_morlet function which
>> asks
>> in input the epochs.
>>
>> power, itc = tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles,
>> use_fft=False, return_itc=True, decim=3,n_jobs=1)
>>
>> Someone has an idea about this?
>>
>> Bests,
>>
>> Jonathan
>> --
>> Dr Jonathan Entakli - Research Associate Post doctoral position
>>
>> Department of Psychology
>> University of Cambridge, Downing St
>> Cambridge CB2 3EB
>>
>> Sir William Hardy Building
>> Office : 314
>> Mobile : 07778 692 458
>>
>> http://www.viscog.psychol.cam.ac.uk/ [2]
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>
>
> Links:
> ------
> [1] http://raw1.info
> [2] http://www.viscog.psychol.cam.ac.uk/
> [3] https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
> [4] http://www.partners.org/complianceline
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--
Dr Jonathan Entakli - Research Associate
Department of Psychology
University of Cambridge, Downing St
Cambridge CB2 3EB
Sir William Hardy Building
Office : 314
Mobile : 07778 692 458
http://www.viscog.psychol.cam.ac.uk/
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