Connectome Workbench Surface Metric Smoothing¶
Library: Connectome Workbench | Docker Image: khanlab/connectome-workbench
Function¶
Applies geodesic Gaussian smoothing to surface metric data following the cortical surface geometry.
Modality: Surface GIFTI (.surf.gii) plus metric GIFTI (.func.gii or .shape.gii).
Typical Use: Smoothing surface-based data (thickness, curvature, fMRI) for visualization or statistics.
Key Parameters¶
Key Points¶
Smoothing follows cortical folding pattern rather than 3D Euclidean distance. ROI can restrict smoothing to specific regions.
Inputs¶
| Name | Type | Required | Label | Flag |
|---|---|---|---|---|
surface |
File |
Yes | Surface file to smooth on (.surf.gii) | |
metric_in |
File |
Yes | Input metric file to smooth | |
smoothing_kernel |
double |
Yes | Gaussian smoothing kernel size in mm (sigma unless -fwhm) | |
metric_out |
string |
Yes | Output smoothed metric file | |
fwhm |
boolean |
No | Interpret kernel size as FWHM instead of sigma | -fwhm |
roi |
File |
No | ROI metric to restrict smoothing | -roi |
fix_zeros |
boolean |
No | Treat zero values as missing data | -fix-zeros |
column |
string |
No | Process single column (number or name) | -column |
corrected_areas |
File |
No | Vertex areas metric for group average surfaces | -corrected-areas |
method |
enum |
No | Smoothing algorithm (default GEO_GAUSS_AREA) | -method |
Accepted Input Extensions¶
- surface:
.surf.gii - metric_in:
.func.gii,.shape.gii - roi:
.func.gii,.shape.gii - corrected_areas:
.func.gii,.shape.gii
Outputs¶
| Name | Type | Glob Pattern |
|---|---|---|
smoothed_metric |
File |
$(inputs.metric_out) |
log |
File |
wb_metric_smoothing.log |
err_log |
File |
wb_metric_smoothing.err.log |
Output Extensions¶
- smoothed_metric:
.func.gii
Docker Tags¶
Available versions: latest
Categories¶
- Functional MRI > Connectome Workbench > Surface Smoothing