Individual site data¶
This page contains descriptions and examples to load our example data, re-order subcortical labels, and z-score values!
Load example data¶
This is an example dataset that includes 10 healthy controls (7 females, age±SD=33.3±8.8 years) and 10 individuals with epilepsy (7 females, age±SD=39.8±14.8 years).
Covariates | As per ENIGMA-Epilepsy protocol, covariate information includes SubjID (subjectID), Dx (diagnosis, 0=controls, 1=patients), SDx (sub-diagnosis, 0=controls, 1=non-lesional patients, 2=genetic generalized epilepsy (IGE/GGE) patients, 3=left TLE, 4=right TLE), Age (in years), Sex (1=males, 2=females), Handedness (1=right, 2=left), AO (age at onset in years, patients only), DURILL (duration of illness in years, patients only), and ICV (intracranial volume).
Subcortical volume | Subcortical grey matter volumes regroup data from 12 subcortical regions, bilateral hippocampus, and bilateral ventricles.
Cortical thickness | Cortical thickness was measured at each vertex as the Euclidean distance between white and pial surfaces, and subsequently averaged within each of the Desikan-Killiany parcels.
Cortical surface area | The cortical surface area of every Desikan-Killiany parcel is also provided as part of ENIGMA imaging protocols; this morphological measure is defined by the sum of the area of each of the triangles within the parcel.
Re-order subcortical regions¶
The column order from ENIGMA-derived subcortical volume matrices does not match the order in the connectivity matrices nor
the pre-requisite for our subcortical visualization tools. But, hey, don’t you worry! To re-order ENIGMA-derived subcortical volume data, you may use
reorder_sctx() function, which will re-order the columns of the subcortical volume dataset accordingly (i.e., alphabetically,
with all left hemisphere structures first followed by all right hemisphere structures).
With our example data loaded and re-ordered, we can then z-score data in patients, relative to controls, so that lower values correspond to greater atrophy. For simplicity, we also compute the mean z-score across all left TLE patients. These mean, z-scored vectors will be used in subsequent tutorials as measures of subcortical and cortical atrophy!
Prerequisites ↪ Re-order subcortical data