These are the materials for a data analysis for neuroimaging module [PSYG4043] at the University of Nottingham, a core module on the MSc Cognitive Neuroscience.
In the class, we acquire various MRI data sets - (emphasis on fMRI, anatomical, and/or DTI) in small groups. We then use a combination of tools to analyse the data.
The module is for 10 credits and runs for seven 2h sessions. (First iteration of the course Feb. 2017).
| Week | Unit | Topic |
|---|---|---|
| 1 | Introduction, (Slides) | Introduction, Administrivia, computers, ... (DS, JJ) |
| 2 | Getting data | Data acquisition (sessions on 3T Achieva) (DS) |
| 3a | Organising your data | Organising data (folders, meta-data, etc) (JJ) |
| 3b | SPM analysis | Inspecting & analysing data: SPM |
| 4a | UNIX + git | Version control, some cool nitty-gritty (DS) |
| 4b | FSL analysis | Inspecting & analysing data in FSL |
| 5 | Making figures in Matlab | Using Matlab to make publication-ready figures (DS) |
| 6 | Visual display | Displaying fMRI results with different tools (JJ) |
| 7 | Wrap-up, GLM/Timeseries | Module wrap-up and preparing for the assignment (DS) |
Quick link to the QR codes for attendance monitoring at UoN.
The coursework assignment is a short written report. For details, see the moodle page for this module. In brief:
- 250w abstract
- plus a main document (max 1500w)
- references / citations as for standard written work (these don't add to the wordcount)
- max. 5 figures illustrating details of the experimental setup, analysis methodology and results (figures can have sub-panels or subplots)
For more details have a look at this page in the assignment folder.
- for reading: Data analysis for Neuroimaging (web)
- for getting code and using!: DAFNI Github repo
- Denis Schluppeck, @schluppeck
- Jeyoung Jung, jeyoung.jung@nottingham.ac.uk
- Denis Schluppeck, @schluppeck
- Kuan (Anthony) Beh (demonstrator)
- Denis Schluppeck
- Kuan (Anthony) Beh (demonstrator)