juliam98 / schizotypy-receptor-maps

Schizotypy-receptor-maps

Aims

This repository contains code and data used in the analysis of ASL-MRI data from high and low schizotypy individuals.

Six publically-available receptor density/ molecular atlases were used to correlate regional rCBF associated with O-LIFE scores. The aim of this analysis is to investigate the contribution of those six receptors (and transporters/vesicles) on changes in neuronal activity associated with schizotypy traits.

Data analysis process

The receptor/ molecular maps used in the analysis are:

Receptor	Reference	Radiotracer
GABAa	norgaard2021	[11C]flumazenil
GABAa5	lukow2022	[11C]Ro15-4513
mGluR5	smart2019	[11C]ABP688
NMDA	galovic2021	[11C]GE-179

Data analysis steps:

The numbering of the steps below corresponds to numbers in the names of python files:

1. Parcellate each CBF map using the Schaefer parcellation atlas. The resulting 122 values for each CBF map represent average regional blood flow values for each brain region of the Schaefer atlas. Similarily, parcellate each of the receptor/molecular maps.

2. Generate null distribution of each CBF map using the neuromaps toolbox.
   

3. Correlate each parcellated CBF map with all parcellated receptor/molecular atlas using spearman's correlation and using the null models.

4. Correct for multiple comparisons.

5. Do Cook's distance analysis to identify influential regions.

Results

View results here.