Functional connectivity impairment in schizophrenia: a resting-state fMRI data analysis

Method:
1. Region of interest based analysis (ROI-to-ROI)
2. Graph theoretical analysis

Data :
The Center for Biomedical Research Excellence data set data set is used in this research which contains raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls, ranging in age from 18 to 65 years old. Resting fMRI, anatomical MRI, phenotype data for every participant including: gender, age, handedness and diagnostic information are released.

Tools:
A Matlab-based cross-platform software functional connectivity toolbox (CONN) and SPM toolboxes are used for spatially preprocessing (Realignment, coregistering,
normalization, ...) of structural and functional data.

Figures, tables and videos:
CTR_SCH_3D.jpg
Healthy control subjects connectivity vs. Schizophrenia patients (3D view).
ROI-to-ROI connections intensities are threshold and FDR p- values= 0.01. Seed ROIs are thresholded and FDR p- values= 0.01.
CTR_SCH.jpg
Healthy control subjects connectivity vs. Schizophrenia patients (ROIs showed in ring only).
CTR_SCH.txt
Healthy control subjects connectivity vs. Schizophrenia patients (table).
Graph_theory_measures_for_all_healthy_subjects_all_patients.jpg
Graph-theory measures for all healthy subjects vs. all patients

Spatial_Components.jpg
Spatial components with 10 factors and threshold=2

Estimated_dynamic_connectivity_CTL.avi
Estimated dynamic connectivity of healthy control subjects
Estimated_dynamic_connectivity_SCH.avi
Estimated dynamic connectivity of Schizophrenia patients