fMRI Data Analysis and Experimental Design

Functional MRI is a cornerstone of modern neuroscience, but moving from raw data to meaningful insights requires a deep understanding of experimental design and statistical analysis. This course provides a clear pathway for understanding how we map the human brain in action. You will transition from foundational concepts to understanding the rigorous frameworks used to interpret neural activity and cognitive processes. What you'll learn: - Understand the physiological basis of the BOLD signal and its role in neuroimaging. - Apply essential pre-processing steps including motion correction and spatial normalization. - Design efficient experimental paradigms using block and event-related structures. - Analyze neural data using the General Linear Model and statistical thresholding techniques. - Explore functional connectivity and resting-state analysis for mapping brain networks. - Practice interpreting results within the context of modern reproducibility and open science standards. The course begins with the physical and biological foundations of the fMRI signal before guiding you through the logical flow of data processing, statistical inference, and result interpretation. It is designed for beginners in neuroscience, psychology, or data science who want to understand the mechanics of how brain imaging research is structured. Start building your foundational knowledge of functional neuroimaging today.