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Data Analysis in Neuroimaging - PSY00039H

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  • Department: Psychology
  • Module co-ordinator: Prof. Daniel Baker
  • Credit value: 30 credits
  • Credit level: H
  • Academic year of delivery: 2022-23
    • See module specification for other years: 2021-22

Module will run

Occurrence Teaching period
A Spring Term 2022-23

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

  • Be able to give an outline of methods of data collection and analysis in fMRI and MEG
  • Demonstrate the ability to perform neuroimaging analyses in fMRI and MEG
  • Be able to describe the relative merits of fMRI and MEG as tools for cognitive and behavioural neuroscience
  • Be able to report the results of fMRI and MEG analyses

Module content

Lectures

  • 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
  • Statistical Analysis in MEG: Advanced Approaches


Practicals

  • 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 Source Space Analysis
  • MEG Group Level Analysis

Assessment

Task Length % of module mark
Coursework - extensions not feasible/practicable
Weekly quiz		 N/A 10
Essay/coursework
Practical Report		 N/A 90

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
Practical Report		 N/A 90

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.