GWPC

GWPC quantifies grey-to-white matter contrast in magnetic resonance imaging (MRI) to investigate potential neuroimaging biomarkers of Autism Spectrum Disorders (ASD).

Key Features:

• Data Utilization: Processes MRI data from ABIDE phases 1 and 2 (2,148 subjects across 26 centers) and the EU-AIMS project (764 individuals from six centers).
• Statistical Analysis: Applies multiple linear regression to assess the effect of ASD diagnosis on grey-to-white matter contrast and implements three distinct strategies for controlling multiple comparisons.
• Grey-to-White Matter Contrast Measurement: Measures contrast at the grey–white matter boundary in cortical motor, visual, and auditory areas using neuroimaging-derived intensity profiles.
• Neurobiological Focus: Investigates contrast variations as potential biomarkers linked to abnormalities in neuronal migration and intra-cortical myelination.
• Multi-center Data Integration: Integrates multi-center cohorts to support cross-center analyses and assessment of generalizability.

Scientific Applications:

• Biomarker Identification: Analyzes regional grey-to-white matter contrast differences to identify candidate neuroimaging biomarkers for ASD.
• Cross-Center Comparative Studies: Enables comparison of contrast measures across sites and populations using ABIDE and EU-AIMS cohorts.
• Reproducibility and Validation: Supports replication and validation of contrast-based findings across large cohorts.

Methodology:

Uses MRI data acquisition from ABIDE 1&2 and EU-AIMS, image processing to quantify grey-to-white matter contrast, and statistical modeling via multiple linear regression with multiple-comparison control strategies.