Reading the Results

What one Analyzer run reports and writes. The maths behind each field and ratio is on Field definitions.

Metrics

Analyzer field-distribution histogram The field over the whole grey matter, each bar coloured by how much of it lies in the target, with the target mean and hot-spot cutoffs marked.
Metric In words Units
ROI mean / max Area- or volume-weighted mean, and maximum, of the field in the target V/m
Grey-matter mean The same mean over the whole grey matter (mesh) or selected tissue (voxel) V/m
Focality ROI mean ÷ grey-matter mean; 1 means the target is no stronger than average ratio
Normal component Mean, max and focality of TI_normal (mesh only) V/m
95th / 99th / 99.9th percentile Robust peaks of the field over the grey matter or tissue V/m
Hot-spot area / volume Grey matter (cm²) or tissue (cm³) at ≥ 50, 75, 90, 95 % of the 99.9th percentile cm² / cm³
Carrier focality The same focality on hf_peak (zero-to-peak carrier) and hf_rms (RMS carrier over time) ratio
TI selectivity Focality ÷ hf_peak focality; above 1 the modulation is more focal than its carriers (details) ratio

Units follow the analysed field: hf_power_density gives W/m³.


Output files

Each analysis writes one folder, Analyses/<Mesh|Voxel>/<name>/:

File What it is
results.csv every metric above, one row each
analysis.json the target and settings the run used
roi_overlay.msh (mesh) / roi_overlay.nii.gz (voxel) the field inside the target, zero elsewhere
scene.tetravox.json a TetraVox scene of the overlay, opened by double-clicking

Open a finished analysis from Results or the job’s Open in TetraVox.


Viewing the output

Three targets on Ernie, each simulated with its own montage (two channels, 1 mA each) and analysed, then opened in TetraVox. Each target’s images share one colour window, the grey-matter 1st–99.9th percentile of TI_max for that simulation, so compare colours within a target, not across them. The crosshair is on the target and the target is outlined in green.

Left hippocampus

Montage LH2 (F8–P8 and T7–TP7, EEG10-10_Cutini_2011). Voxel analysis, Harvard-Oxford subcortical atlas (MNI, warped to the subject).

Left hippocampus: TI_max on the volume mesh Volume mesh: filled cross-sections of <montage>_TI.msh, grey matter in 3-D.
Left hippocampus: TI_max on the NIfTI NIfTI: grey-matter TI_max over the T1, and the analysis's roi_overlay.nii.gz close up.

Bilateral thalamus

Montage thalamus (F7–P7 and F8–P8, EEG10-10_Cutini_2011). Voxel analysis, Left- and Right-Thalamus combined into one ROI; the sagittal slice passes through the left thalamus.

Bilateral thalamus: TI_max on the volume mesh Volume mesh: filled cross-sections of <montage>_TI.msh, grey matter in 3-D.
Bilateral thalamus: TI_max on the NIfTI NIfTI: grey-matter TI_max over the T1, and the analysis's roi_overlay.nii.gz close up.

Left insula

Montage L_Insula (F7–TP7 and FT7–P7, EEG10-10_UI_Jurak_2007). Mesh analysis on DK40 lh.insula; the outline drawn is the Harvard-Oxford left insular cortex, analysed in voxel space.

Left insula: TI_max on the volume mesh Volume mesh: filled cross-sections of <montage>_TI.msh, grey matter in 3-D.
Left insula: TI_max on the NIfTI NIfTI: grey-matter TI_max over the T1, and the analysis's roi_overlay.nii.gz close up.