cmp.stages.eeg.preparer module
Definition of config and stage classes for computing brain parcellation.
- class cmp.stages.eeg.preparer.EEGPreparerConfig[source]
Bases:
traits.has_traits.HasTraitsClass used to store configuration parameters of a
EEGPreparerStageinstance.- eeg_format
Specify the format in which EGG data is stored (Default:
set)- Type
Enum([‘.set’, ‘.fif’])
- epochs
Name of file containing EEG epochs
- Type
File
- invsol_format
Specify the inverse solution algorithm (Default: Cartool-LAURA)
- Type
Enum([‘Cartool-LAURA’, ‘Cartool-LORETA’, ‘mne-sLORETA’])
- parcellation = Dict({'label'
Dictionary used to differentiate parcellation files
- Type
‘aparc’, ‘desc’:’’, ‘suffix’:’’})
- cartool_dir = Str
Name of cartool derivatives directory (Default:
'cartool-v3.80')
- cmp3_dir = Str
Name of cartool derivatives directory (Default:
'cmp')
- EEG_params = Dict()
Dictionary storing extra EEG parameters
- class cmp.stages.eeg.preparer.EEGPreparerStage(bids_dir, output_dir)[source]
Bases:
cmp.stages.common.StageClass that represents the preparing stage of a
EEGPipeline.This stage consists of three processing interfaces:
EEGLAB2fif: Reads eeglab data and converts them to MNE format (fiffile extension).CreateSrc: Creates the dipole locations along the surface of the brain.CreateBEM: Creates the boundary element method.
- create_workflow()[source]
Create the workflow of the
EEGPreparerStage
- create_workflow(flow, inputnode, outputnode)[source]
Create the stage workflow.
- Parameters
flow (nipype.pipeline.engine.Workflow) – The nipype.pipeline.engine.Workflow instance of the Diffusion pipeline
inputnode (nipype.interfaces.utility.IdentityInterface) – Identity interface describing the inputs of the stage
outputnode (nipype.interfaces.utility.IdentityInterface) – Identity interface describing the outputs of the stage