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Research Design & Analysis in Neuroimaging - PSY00039H

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• Department: Psychology
• Module co-ordinator: Prof. Tim Andrews
• Credit value: 30 credits
• Credit level: H
• Academic year of delivery: 2018-19
  • See module specification for other years: 2019-20 2020-21 2021-22

Module will run

Occurrence	Teaching cycle
A	Spring Term 2018-19

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. In addition, students will be challenged to think critically about experimental design and hypothesis testing in neuroimaging.

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
• Outline the design of an experiment to test a given hypothesis using neuroimaging

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
• Source space analysis
• Statistics and Time Series Analysis
• Connectivity

Assessment

Task	Length	% of module mark
Essay/coursework Experimental Design Report	N/A	35
Essay/coursework Practical Report	N/A	55
Essay/coursework VLE Test 1	N/A	5
Essay/coursework VLE Test 2	N/A	5

Special assessment rules

None

Reassessment

Task	Length	% of module mark
Essay/coursework Experimental Design Report	N/A	35
Essay/coursework Practical Report	N/A	55
Essay/coursework VLE Test 1	N/A	5
Essay/coursework VLE Test 2	N/A	5

Module feedback

Marks will be provided through e:vision.

Indicative reading

Sample Reading:

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