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Data Analysis in Neuroimaging - PSY00109M

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  • Department: Psychology
  • Module co-ordinator: Dr. Rebecca Jackson
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2024-25
    • See module specification for other years: 2023-24

Module will run

Occurrence Teaching period
A Semester 2 2024-25

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: Understanding fMRI Data
  • Practical: fMRI Single Subject (1st Level) Analysis
  • Practical: fMRI Group (2nd Level) Analysis
  • Practical: fMRI Event-Related Design and ROI Analysis
  • Lecture: Describing Neuroimaging Methods
  • Practical: Understanding MEG Data
  • Practical: MEG Sensor Space Analysis
  • Practical: MEG Source Space Analysis
  • Practical: MEG Group Level Analysis
  • Lecture: Reporting Neuroimaging Results

Assessment

Task Length % of module mark
Essay/coursework
Essay (self cert) : Practical Report		 N/A 100

Special assessment rules

None

Reassessment

None

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


The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.