Difference between revisions of "Suggested Pipelines"

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Line 47: Line 47:
Art --> sam["sam_3d/sam_3dc"];
Art --> sam["sam_3d/sam_3dc"];


style Art fill:#fcf
style sam fill:#fcf
click Art "https://megcore.nih.gov/index.php/Sam_3d_and_sam_3dc" "sam_3d/sam_3dc documentation"
click sam "https://megcore.nih.gov/index.php/Sam_3d_and_sam_3dc" "sam_3d/sam_3dc documentation"
end
end
subgraph Connectivity
subgraph Connectivity
Art --> sam_power;
Art --> sam_power;
style Art fill:#fcf
style sam_power fill:#fcf
click Art "https://megcore.nih.gov/index.php/Sam_power" "sam_power documentation"
click sam_power "https://megcore.nih.gov/index.php/Sam_power" "sam_power documentation"
end
end
}}
}}

Revision as of 10:25, 20 March 2019

Master Pipeline

Basic MRI Pre-Processing Workflow

For any experiment where you wish to localize data to the brain, the first step is MRI pre-processing. First, MEG data must be co-registered to the space of the MRI, either by manually placing fiducial points on the MRI, or through a semi-automated method where a digital head shape is aligned with a head surface. (Other algorithmic techniques are possible, these will be discussed later). For the purpose of source space reconstruction, the head can be modeled either as a collection of spheres, one per channel, (MultiSphere) or in a realistic fashion using the Nolte model.

Basic Resting State MEG processing

When examining resting state data, the end goals is usually to examine either static measures of

  1. Create covariance matrices using sam_cov.
  2. Compute beamformer weights with sam_wts.
  3. sam_3d uses the weights to compute volumetric images of activity estimates.
  4. View them with AFNI.
  5. It didn't work, go back and try again.
  6. Nope, still didn't work, try this instead.
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