I'm trying to read in some EEG data collected from an eeg-fMRI task and
having a couple of problems.
Firstly, we're acquiring data using Curry 8. I've converted the native .cdt
data into .cnt using their software, and it outputs a file_path.cnt and
file_path.cnt.dpa file together. Events are contained in the .cnt file
though as you can read this data into EEGlab without a problem and it
detects triggers.
I'm trying to read it into MNE and I get the following error:
File "/home/sammirc/mne-python/mne/io/cnt/cnt.py", line 231 in _get_cnt_info
fid.seet(event_offset)
IOError: [Errno 22] Invalid Argument
not sure what this means? Is it not detecting events in the data, so
getting an error? The events are definitely there as two other people also
checking this data have been able to read it into matlab.
I wondered if it could be because of the montage in use (easycap-M1) when
it could be inaccurate. I got the montage file (both .mnt and .xml) and
tried to create a montage ( mne.channels.read_montage ) but this also
doesnt work as neither format is supported...
Any help on this would be pretty great as we're trying to check data
quality of a new system.
The problem is probably that the event_offset becomes negative, which means
that the number of channels or the event offset is not read correctly from
the header. The cnt reader of MNE-python uses specs defined here http://paulbourke.net/dataformats/eeg/. I've also come across cnt files
that don't really conform to those. Can you share the file? I could take a
look at some point.
It's probably that the montage it's reading is wrong - there are some
different names in this eeg-fMRI setup (e.g. electrodes called CB1). That
said, wrote some code to convert the cdt file into .set in eeglab, then
read that into mne - I don't have any problems reading the data that way
now, so not sure what's going on
Is there any way of creating a montage given a set of coordinates? After a
fair amount of searching I cant seem to find a way of making any kind of
readable montage file that's useful. With electrode coordinates in a .txt
file, and reading with mne.channels.read_montage(), it gives a super
distorted layout (see pic)
It's probably that the montage it's reading is wrong - there are some
different names in this eeg-fMRI setup (e.g. electrodes called CB1). That
said, wrote some code to convert the cdt file into .set in eeglab, then
read that into mne - I don't have any problems reading the data that way
now, so not sure what's going on
The problem is probably that the event_offset becomes negative, which
means that the number of channels or the event offset is not read correctly
from the header. The cnt reader of MNE-python uses specs defined here http://paulbourke.net/dataformats/eeg/. I've also come across cnt files
that don't really conform to those. Can you share the file? I could take a
look at some point.
oops, sorry, that was actually a typo on my part (emailing from laptop,
code on a workstation). It's actually fid.seek, not seet... sorry about that
hey,
thanks for the reply. I'm using the dev, but I haven't pulled in a
while. I'll give this a go and see whats going on
I'm trying to read in some EEG data collected from an eeg-fMRI task
and having a couple of problems.
Firstly, we're acquiring data using Curry 8. I've converted the
native .cdt data into .cnt using their software, and it outputs a
file_path.cnt and file_path.cnt.dpa file together. Events are contained in
the .cnt file though as you can read this data into EEGlab without a
problem and it detects triggers.
I'm trying to read it into MNE and I get the following error:
File "/home/sammirc/mne-python/mne/io/cnt/cnt.py", line 231 in
_get_cnt_info
fid.seet(event_offset)
IOError: [Errno 22] Invalid Argument
not sure what this means? Is it not detecting events in the data, so
getting an error? The events are definitely there as two other people also
checking this data have been able to read it into matlab.
I wondered if it could be because of the montage in use (easycap-M1)
when it could be inaccurate. I got the montage file (both .mnt and .xml)
and tried to create a montage ( mne.channels.read_montage ) but this also
doesnt work as neither format is supported...
Any help on this would be pretty great as we're trying to check data
quality of a new system.
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