Suggested Pipelines: Difference between revisions

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Line 30: Line 30:
adc[Raw ADC data] --> ThresholdDetect;
adc[Raw ADC data] --> ThresholdDetect;
ThresholdDetect --> marks[Create Markers];
ThresholdDetect --> marks[Create Markers];
filter --> meg;
filter --> meg[MEG Data];
end
end


subgraph MEG Data Statistics
subgraph MEG Data Statistics
meg[MEG Data] --> Filter[Band-pass<br>filter];
meg --> Filter[Band-pass<br>filter];
Filter --> Covariance;
Filter --> Covariance;
end
end
Line 42: Line 42:
{{#mermaid:graph LR
{{#mermaid:graph LR
subgraph Synthetic Aperture Magnetometry
subgraph Synthetic Aperture Magnetometry
Markers --> Beamformer;
Covariance --> Beamformer;
Covariance --> Beamformer;
head[Head Model] --> Beamformer;
head[Head Model] --> Beamformer;

Revision as of 13:08, 2 March 2019

Basic Synthetic Aperture Magnetometry Workflow

  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.