Methods in Human Neuroimaging

Meetings: Tuesdays and Thursdays, 5:00 PM – 6:15 PM
Location: TBD

A comprehensive overview of human neuroimaging modalities with a focus on research imaging. The course features 14 weeks of content, with 2 lectures and an interactive lab or hands-on session per week. We will explore the physical principles, experimental design, and analytical methods behind modern neuroscience, moving from the foundational physics of magnetic resonance imaging to the cutting edge of clinical applications.

Course Outline

• Week 01. Introduction & History

  Interactive Activity · 2 Lectures

  Overview of the course and the historical evolution of neuroimaging from early lesion studies to modern imaging modalities.

• Week 02. Physical Principles of MRI

  Simulation Lab · 2 Lectures

  Nuclear magnetic resonance, static magnetic fields, RF pulses, and gradient fields. How we generate signals from protons.

• 
  T1-weighted MRI sagittal slice.

  Week 03. Structural MRI & Contrast

  Image Review · 2 Lectures

  T1, T2, and T2* relaxation. Tissue properties, pulse sequences, and understanding structural brain anatomy in 3D.

• Week 04. Functional MRI (fMRI)

  Demo & Analysis · 2 Lectures

  The BOLD signal, neurovascular coupling, and the physiological basis of functional neuroimaging.

• Week 05. fMRI Experimental Design

  Design Workshop · 2 Lectures

  Block vs. event-related designs, general linear model (GLM), preprocessing steps, and statistical inference.

• Week 06. Diffusion Tensor Imaging (DTI)

  Tractography Lab · 2 Lectures

  Measuring water diffusion in the brain, fractional anisotropy, and reconstructing white matter tracts (tractography).

• Week 07. Positron Emission Tomography

  Tracer Models · 2 Lectures

  Radioisotopes, tracers, and metabolic imaging. Applications in neurodegenerative diseases and receptor mapping.

• Week 08. Electroencephalography (EEG)

  Signal Processing · 2 Lectures

  Measuring electrical potentials, event-related potentials (ERPs), and analyzing neural oscillations and frequency bands.

• Week 09. Magnetoencephalography (MEG)

  Source Modeling · 2 Lectures

  Detecting magnetic fields generated by neural activity. Source localization techniques and the inverse problem.

• Week 10. Functional NIRS (fNIRS)

  Portable Tech Demo · 2 Lectures

  Near-infrared spectroscopy, measuring hemodynamic responses non-invasively, and applications in naturalistic environments.

• Week 11. Magnetic Resonance Spectroscopy

  Spectra Analysis · 2 Lectures

  Measuring chemical metabolites in vivo (e.g., GABA, Glutamate). Principles of chemical shift and spectral editing.

• Week 12. Multi-modal Integration

  Integration Challenge · 2 Lectures

  Combining modalities (e.g., EEG-fMRI, PET-MR) to leverage temporal and spatial resolution advantages simultaneously.

• Week 13. Emerging Modalities

  Technology Review · 2 Lectures

  Optically Pumped Magnetometers (OPM-MEG), high-field MRI (7T+), and the cutting edge of neuroimaging research.

• Week 14. Future & Final Projects

  Project Presentations · 2 Lectures

  The future of neuroimaging, machine learning applications, and final student project presentations.

Interactive index — every simulator, game and figure in the course →
Just the demos built for this course →

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