Processing Pipeline

This section describes the processing pipeline used for the LAION-fMRI dataset, including quality control, preprocessing, and statistical analysis steps.

Pipeline Overview

✅ Quality Control

Data quality assessment

Motion, signal quality, artifacts

Quality Control
🔧 Preprocessing

Data preprocessing steps

correction, registration, normalization

Preprocessing
📊 GLM

Statistical analysis

First-level and group-level analysis

GLM

Workflow Summary

ADD CONCEPTUAL WORKFLOW GRAPHIC HERE.

The complete processing workflow:

  1. Quality Control

    Quality control was performed using mriqc.

    • Assess raw data quality

    • Identify motion artifacts

    • Check signal-to-noise ratio

    • Generate QC reports

  2. Preprocessing

  3. GLM Analysis

Processing Tools

The pipeline uses …

Output Organization

Processed data is organized in the derivatives folder:

derivatives/
├── preprocessing/
│   └── sub-01/
│       ├── anat/
│       └── func/
├── mriqc/
│   └── sub-01/
│       └── qc_reports/
└── glm/
    ├── first_level/
    │   └── sub-01/
    └── group_level/