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Data Analysis in Neuroimaging - PSY00039H

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  • Department: Psychology
  • Module co-ordinator: Dr. Mark Hymers
  • Credit value: 30 credits
  • Credit level: H
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Spring Term 2019-20

Module aims

The aim of this module is to provide an understanding of issues of design and analysis which are specific to neuroimaging.  Students will get hands-on practical experience of the acquisition, design and analysis of neuroimaging data.

Module learning outcomes

  • Demonstrate a practical understanding of data collection and analysis in fMRI and MEG
  • Analyse and report fMRI and MEG data
  • Understand and describe different approaches to neuroimaging design and analysis, and recognize their strengths and weaknesses

Module content


•Signal, Noise and Preprocessing of fMRI data
•Experimental Design in fMRI
•Statistical Analysis in fMRI: Basic Analyses
•Statistical Analysis in fMRI: Advanced Approaches
•Signal, noise and preprocessing of MEG data
•MEG Sensor space analysis
•MEG Source Space Analysis

•fMRI Experimentation and Images
•fMRI Single Subject (1st Level) Analysis
•fMRI Group (2nd Level) Analysis
•fMRI Time-Series and MVPA Analysis
•MEG Experimentation and data pre-processing
•MEG  Sensor Space Analysis
•MEG Group Level and Multi-Variate Analysis
•MEG Sensor Space Analysis


Task Length % of module mark
Practical Report
N/A 90
Weekly quiz
N/A 10

Special assessment rules



Task Length % of module mark
Practical Report
N/A 90
Weekly quiz
N/A 10

Module feedback

Marks will be provided through e:vision.

Indicative reading

Sample Reading:

Functional Magnetic Resonance Imaging by Huettel, Song, McCarthy (3rd edition)

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.