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@maedoc
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@maedoc maedoc commented May 12, 2015

This is a work in progress (WIP) on #26. I'll update the checklist as I go.

  • 4D 248 MEG
  • 10-20 EEG
  • sEEG or ECoG defaults?
  • dipole or surface file for the cortical surface sources (produced by FreeSurfer & scripts)
  • squid file for MEG sensors (4D 248 by default, or provided by user)
  • elec file for EEG sensors (10-20 by default, or provided by user)
  • internal potential locations for sEEG if provided
  • ECoG positions if provided
  • three BEM surfaces: outer skin, outer skull, inner skull (produced by mne_watershed_bem)
  • geometry description (autogenerate/template)
  • conductivities (defaults or provided by user)
  • visual verification of BEM surfaces, cortex & sensors (check step, requires pyqtgraph or freeview..)
  • sequence of calls to OpenMEEG commands om_*
  • convert sensors & lead fields to TVB format (Python script)

Did I forget anything?

sEEG sensors are localized on a CT, which needs to be registered with FreeSurfer's T1. There we need the vox2ras-tkr xfm for the CT to obtain positions valid for the cortical and BEM surfaces.

@timpx
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timpx commented May 19, 2015

Additional for SEEG: coregistration of T1 and CT (or MRI), creation of a nifti files with electrodes positions shown inside (e.g. with colorvalue = 256), creation of a text file indicating for each electrode contact the corresponding region in the parcellation

@maedoc
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maedoc commented May 26, 2015

Notes from last week

  • put everything into FS's T1 space, including BEM surfaces
  • electrodes will already be described in a text file as start point, exit point, number of contacts and name

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2 participants