Suggested Pipelines

{{#mermaid:graph LR

 DoStuff --> DoMoreStuff;
 DoMoreStuff --> DoEvenMoreStuff;
 DoEvenMoreStuff --> PublishNaturePaper;

}}

Basic Synthetic Aperture Magnetometry Workflow

{{#mermaid:graph LR subgraph MRI Preprocessing

 MRI["Structural MRI"] --> hull(process with orthohull);
 hull --> ortho["Processed MRI"];

 style hull fill:#fcf,stroke:#333,stroke-width:1px
 click hull "https://megcore.nih.gov/index.php/Head_Localization_and_MRI_Coregistration" "orthohull documentation"

end }}

{{#mermaid:graph LR

marks --> Covariance;

subgraph MEG Preprocessing

 ThresholdDetect --> filter[Basic Filtering];
 filter --> marks[Create Markers];
 filter --> meg;

end

subgraph MEG Data Statistics

 meg[MEG Data] --> Filter[Band-pass
filter];
 Filter --> Covariance;

end

}}

{{#mermaid:graph LR subgraph Synthetic Aperture Magnetometry

 Markers --> Beamformer;
 Covariance --> Beamformer;
 ortho[Processed MRI] --> Beamformer;
 Beamformer --> image["3D Images"];

end }}

{{#mermaid:graph LR subgraph SAM

 sam_cov --> sam_wts;
 sam_wts --> sam_3d;
 sam_3d --> AFNI;
 AFNI --> sam_wts;
 AFNI --> sam_cov;

 style sam_cov fill:#fcf,stroke:#333,stroke-width:1px
 click sam_cov "https://megcore.nih.gov/index.php/Sam_cov" "sam_cov documentation"
 style AFNI fill:#fcf,stroke:#333,stroke-width:1px
 click AFNI "https://afni.nimh.nih.gov/" "The AFNI website"

end }}

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.