Data Analysis in Neuroimaging - PSY00109M
Module will run
Occurrence | Teaching period |
---|---|
A | Semester 2 2025-26 |
Module aims
The aim of this module is to provide hands-on practical experience in the analysis of neuroimaging data, and how to describe experiments and analyses in scientific reports. Students will learn to explain, report and critically evaluate experiments using fMRI and MEG, identifying the relative merits of these different cognitive neuroscience methods.
Module learning outcomes
- Demonstrate the ability to independently perform neuroimaging analyses in fMRI and MEG
- Demonstrate a critical understanding of the relative merits of fMRI and MEG as tools for cognitive and behavioural neuroscience
- To write a scientific report in the format used in the field of cognitive neuroscience
- Describe and explain the use of fMRI and MEG methods in typical experimental paradigms
- Report and critically evaluate the results of fMRI and MEG analyses
Module content
- Lecture: Introduction to Data Analysis in Neuroimaging
- Practical: Visualising & Characterising fMRI Data
- Practical: Single Subject fMRI Analysis
- Practical: Group fMRI Analysis
- Practical: fMRI ROI Analysis
- Lecture: Describing Neuroimaging Methods & Results
- Practical: Preprocessing MEG Data
- Practical: Individual Level MEG Analysis
- Practical: MEG Source Localisation
- Practical: MEG Group Level Analysis & Statistics
- Lecture: Writing Neuroimaging Discussions & Assessment session
Indicative assessment
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Special assessment rules
None
Indicative reassessment
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Module feedback
The marks on all assessed work will be provided on e-vision.
Indicative reading
Functional Magnetic Resonance Imaging by Huettel, Song, McCarthy (3rd edition)
Magnetoencephalography. Elizabeth W. Pang (Ed). InTech