Signal processing for functional brain imaging
Summary
Computational methods for the analysis of human brain imaging data
Content
Human brain imaging such as magnetic resonance imaging (MRI) and electroencephalography (EEG) allows non-invasive investigation of the human brain in health and disease. Datasets are large, noisy, and richely structured, thus their analysis needs to rely on a broad range of mathematical and signal processing tools. Students will learn to understand, implement, and tailor general tools including linear regression (mass univariate models), multivariate models (principal components analysis, partial least squares, independent component analysis), pattern recognition (machine learning), and graphical models. Exercises and lab exercises (in Python) provide insights into the analysis of brain imaging data. A journal club emphasizes application of brain imaging tools in fundamental and clinical neuroscience. Students will read, present and critique original research papers.
Keywords
neuroimaging, functional MRI, EEG, brain mapping, systems-level neuroscience
Learning Prerequisites
Important concepts to start the course
Mathematics at the engineering level (i.e., matrix algebra, probability theory)
Basic signal processing, statistics, and machine-learning concepts
Basic knowledge of Python programming language
Learning Outcomes
By the end of the course, the student must be able to:
- Analyze processing steps of neuroimaging data
- Assemble a neuroimaging pipeline
- Critique suitability of analysis methods
- Interpret results of neuroimaging analysis
- Explain choice of methodology
Transversal skills
- Use a work methodology appropriate to the task.
- Make an oral presentation.
- Give feedback (critique) in an appropriate fashion.
Teaching methods
Weekly lectures (2h) following by an exercise session (1h)
Three lab exercises during the semester
Journal club at the end of the semester
Expected student activities
attendance at lectures and exercises. one journal club.
Assessment methods
Attendance and completion of three lab exercises during the semester
Written exam
Supervision
Office hours | No |
Assistants | Yes |
Forum | Yes |
Dans les plans d'études
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Signal processing for functional brain imaging
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
Semaine de référence
Lu | Ma | Me | Je | Ve | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Cours
Exercice, TP
Projet, autre