fMRI Data Analysis: Fundamentals of Neuroimaging

Functional magnetic resonance imaging (fMRI) has revolutionized our understanding of the human brain, yet getting started with neuroimaging data can feel overwhelming. This course provides a clear, step-by-step introduction to the core concepts of brain imaging and data analysis. You will transition from understanding how MRI scanners capture brain activity to confidently conceptualizing complex data pipelines. By studying the theoretical and practical foundations of neuroimaging, you will gain the skills needed to interpret experimental designs, clean raw signals, and apply advanced statistical models. What you'll learn: - Understand the physiological basis of the fMRI signal and the blood-oxygen-level-dependent (BOLD) response. - Master the differences between anatomical and functional imaging data structures. - Explore univariate and multivariate analysis methods to identify active brain regions and patterns. - Learn how to combat the multiple comparisons problem using modern statistical correction techniques. - Apply advanced concepts like Representational Similarity Analysis (RSA) and multi-voxel pattern analysis (MVPA). - Organize neuroimaging data using the modern Brain Imaging Data Structure (BIDS) standard. The course begins with foundational terminology, scanning physics basics, and signal characteristics before guiding you through preprocessing steps and statistical modeling techniques. You will learn the conceptual logic behind each stage of analysis, preparing you to work with real-world datasets. Designed for beginners in neuroscience, psychology, cognitive science, or data science, this course requires no prior experience with neuroimaging software. Start your journey into the fascinating world of cognitive neuroimaging today.