It’s now trivially easy to calculate (as well the size of all ur brain regions) if you have a MRI and just use the right coding agents…
[there’s an impt between no-threshold and 50% threshold which may move the percentages a few pts]
“Different segmentation methods produce BPF differences of 3.8-17%”
“There is NO consensus gold standard for BPF calculation”
“BPF values CANNOT be directly compared between studies using different methods”
most published norms use SIENAX or SPM. These methods can differ by up to 17 percentage points due to different:
- Tissue classification thresholds
- Brain edge definitions
- CSF inclusion criteria
From a MRI scan you can also calculate…
What are Cortical Layers?
Cortical layers (L1, L2/3, L4, L5, L6) are microscopic structures in the gray matter:
-
Layer I (Molecular): ~100μm thick
-
Layer II/III (Granular/Pyramidal): ~300-500μm
-
Layer IV (Internal Granular): ~200-300μm
-
Layer V (Pyramidal): ~300-500μm
-
Layer VI (Multiform): ~400-600μm
Your MRI resolution: 1mm (1000μm) voxels
Problem: You cannot resolve 100-500μm structures with 1000μm voxels. It’s like trying to read fine print with blurry vision.
What I CAN Calculate
1. Total Cortical Thickness:
2. Depth-Dependent Thickness (Superficial vs Deep): I can measure if your superficial cortex (near pial surface) is thinner than deep cortex (near white matter).
3. Regional Thickness (by lobe/region):
- Frontal cortex thickness
- Parietal thickness
- Temporal thickness
- Occipital thickness
4. Specific Region Thickness:
- dlPFC thickness
- Visual cortex thickness
- Motor cortex thickness
===
Wow, my grey matter has a really weird distribution (normal on PFC, thin in occipital/visual cortex regions)