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School of Psychology

Brain Imaging Methods (954C8)

Brain Imaging Methods

Module 954C8

Module details for 2023/24.

15 credits

FHEQ Level 7 (Masters)

Full Module Description

This module provides an advanced level of theoretical and practical knowledge in the technique of functional magnetic resonance imaging (fMRI). Topics covered include the physical and physiological basis of MRI and fMRI; different study designs in functional imaging research; stages of pre-processing and analysis of data; and interpretation of results. It is expected that students will be able to make a contribution to a real, ongoing fMRI study in terms of observing and/or participating in its execution and contributing to the analysis of the study. Students will gain hands-on experience of Statistical Parametric Mapping (SPM) software for analysing fMRI data that is invaluable for future research in this area.

Module Outline

This module provides an advanced level of theoretical and practical knowledge in the technique of functional magnetic resonance imaging (fMRI). Topics covered include the physical and physiological basis of MRI and fMRI; different study designs in functional imaging research; stages of pre-processing and analysis of data; and interpretation of results. It is expected that students will be able to make a contribution to a real, ongoing fMRI study in terms of observing and/or participating in its execution and contributing to the analysis of the study. Students will gain hands-on experience of Statistical Parametric Mapping (SPM) software for analysing fMRI data that is invaluable for future research in this area.

Module learning outcomes

Demonstrate an understanding of how fMRI and EEG can be used as research tools, and their usefulness and limitations.

Demonstrate an understanding of the main stages of pre-processing and statistical analysis of fMRI and EEG data.

Evaluate current imaging research in the field in terms of their methodological adequacy and soundness of their interpretations.

TypeTimingWeighting
Essay (3000 words)Semester 2 Assessment Week 2 Tue 16:0070.00%
Coursework30.00%
Coursework components. Weighted as shown below.
EssayT2 Week 5 100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterPractical3 hours00100000111
Spring SemesterLecture2 hours11011111000

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Sam Berens

Assess convenor, Convenor
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Dr Ediz Sohoglu

Assess convenor
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