Foundations of Functional MRI: Principles and Analysis

Functional Magnetic Resonance Imaging (fMRI) has transformed our ability to map the living human brain, but interpreting this complex data requires a solid grasp of multiple scientific disciplines. This course provides a comprehensive introduction to how fMRI works, bridging the gap between biological signals and the statistical models used to understand them. You will gain a clear perspective on the entire neuroimaging workflow, from the moment a participant enters the scanner to the final results of a study. By focusing on the underlying logic of brain mapping, you will develop the skills to critically evaluate neuroimaging research and plan your own investigations. What you'll learn: - Understand the physiological basis of the BOLD signal and its relationship to neural activity - Learn the fundamental physics of MRI acquisition and how spatial and temporal resolution impact data quality - Apply principles of experimental design to create robust studies for task-based and resting-state fMRI - Master the essential steps of the preprocessing pipeline, including motion correction and spatial normalization - Analyze brain activity using the General Linear Model (GLM) and statistical inference - Explore modern trends in neuroimaging, including connectivity analysis and open science data standards The course begins with foundational terminology and biological concepts before moving into the practicalities of data processing and statistical modeling. It is designed for beginners across various fields—such as psychology, neuroscience, and engineering—with no prior neuroimaging experience required. Start your journey into the science of brain mapping today.