Functional neuroimaging and data processing

teacher	face to face hours	working hours	ects
Théodore Papadopoulo & Samuel Deslauriers Gauthier	30	60	6

Description

This course deals with brain functional imaging and its application to create brain computer interfaces using two non-invasive techniques used to estimate brain activity:

• M/EEG which measures the electro-magnetic field created by cortical currents,
• Functional and diffusion MRI which respectively measures: 1/A signal (BOLD) linked to energy consumption in the brain. 2/ Brain connections (mostly in the white matter), which are linked to brain activity.

Learning outcomes

By the end of this course in functional neuroimaging, students will have developed a critical understanding of the principles and applications of both M/EEG and fMRI for studying human brain function. They will be able to explain the physiological and physical bases of these techniques, evaluate their respective strengths and limitations in terms of spatial and temporal resolution, and apply appropriate analysis methods to real datasets. In addition, students will gain hands-on experience in data preprocessing, signal interpretation, and image processing.
 

Requirements

Students are expected to have a fundamental background in neuroscience, psychology, cognitive science, or a related biomedical field. Prior coursework should include fundamental neuroanatomy and neurophysiology. Basic knowledge of statistics and signal processing is required, as well as proficiency in the Python programming language. Familiarity with linear algebra, Fourier analysis, and probability theory will be highly beneficial.