Name | Description | # Features |

nc_spatial_kurtosis | Extracts the kurtosis of a spatial map, which describes how "normal" the distribution of values is. | 1 |

nc_spatial_aal | The number of activation voxels in each of 116 regions of the AAL atlas | 116 |

nc_spatial_degreecluster | To measure the spatial structure of a component, we calculate the top ten local maximum values, and then get cluster sizes for clusters with less than 50% overlap. We then take an average, a minimum, and a max. This script relies on MinimaMaxima3D.m, in | 3 |

nc_spatial_nodedist | We calculate the average distance between the 10 most highly connected nodes, and the average Z score for these nodes. | 2 |

nc_spatial_entropy | Spatial entropy measures the spatial content of a spatial distribution. A narrow distribution means less spatial entropy. | 1 |

nc_spatial_mirror | The percentage of mirrored voxels (as a percentage of all activation) | 1 |

nc_spatial_skewness | Skewness gets at the extent to which a distribution leans to the left or right of the mean | 1 |

nc_spatial_tissues | Percentage of total voxels in component spatial map that are of a matter type, or within a regional mask | 10 |