fMRI Analysis
Full-pipeline functional MRI processing — from raw BOLD data to activation maps and connectivity matrices — with a GUI-driven workflow that requires no scripting.
Module Overview
The fMRI Analysis module covers the entire processing chain for both task-based and resting-state functional MRI studies. A guided wizard walks the user through study design specification, preprocessing options, and statistical threshold settings, producing publication-ready statistical maps and an automated report.
Key Capabilities
- 1
Task-based activation mapping: GLM-based analysis with standard HRF convolution, flexible contrast definition, and thresholded statistical maps (FWE, FDR, cluster-based correction)
- 2
Resting-state functional connectivity: seed-based correlation maps and ICA-based network extraction for default mode, salience, executive, and sensorimotor networks
- 3
Automated preprocessing pipeline: motion correction, slice-timing correction, field-map distortion correction, smoothing, and nuisance regression — all configurable in the GUI
- 4
Group-level analysis with random-effects models; outputs compatible with standard neuroimaging viewers (FSLeyes, ITK-SNAP)
Technical Specifications
AI Automation
AI-driven quality-control flags automatically detect motion artefacts, signal dropouts, and excessive physiological noise before analysis begins. An integrated denoising model trained on high-quality 7T resting-state datasets improves tSNR across all field strengths without manual parameter selection.
Interested in the MRI Analysis Service?
Speak with our team about a pilot programme or custom integration.