Data Analysis in Neuroimaging - PSY00064H
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 perform neuroimaging analyses in fMRI and MEG
- Understand and adhere to the format of scientific reports in the field of cognitive neuroscience
- To write a scientific report in the format used in the field of cognitive neuroscience
- Accurately report the results of fMRI and MEG analyses
- Draw appropriate conclusions by integrating findings from fMRI and MEG experiments
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
Marks will be provided through e:vision.
Indicative reading
Functional Magnetic Resonance Imaging by Huettel, Song, McCarthy (3rd edition)
Magnetoencephalography. Elizabeth W. Pang (Ed). InTech