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Notes for PSYG4043/C84DAN - Data analysis for Neuroimaging


Summary

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)

Attendance monitoring

Quick link to the QR codes for attendance monitoring at UoN.

Assignment

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.


Links

Contacts (2021/22)

Contacts (2019/20)

  • Denis Schluppeck, @schluppeck
  • Kuan (Anthony) Beh (demonstrator)

Contacts (2018/19)

  • Denis Schluppeck
  • Kuan (Anthony) Beh (demonstrator)