MSc Neuroimaging for Clinical & Cognitive Neuroscience / Course details
Year of entry: 2024
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Course unit details:
Neuroimaging Techniques
Unit code | PCHN62101 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This unit will describe the methodological bases of a number of neuroimaging modalities (including MRI, fMRI, PET and EEG/ERP) by exploring the technological features of each modality, the relevant neurophysiology of the brain, and the interaction between the two.
In doing this, the specific ways in which each modality generates information about the brain will be described, with a focus on the differences between the types of information they can produce and what they can tell us about brain structure and function.
The unit will also explore the relative strengths and weaknesses of each modality and ways in which they might be used in a convergent fashion to enhance data acquisition, analysis, and interpretation.
Aims
- To provide students with a solid grounding in functional and structural neuroimaging methodology. The unit focuses on the technological methods of a number of neuroimaging techniques, including MRI, fMRI, PET and EEG/ERP, highlighting their relative strengths and limitations.
Learning outcomes
By the end of this course, students will:
- have an in-depth knowledge of the technological bases of each neuroimaging technique;
- have a detailed understanding the kinds of information about each technique provides about the brain;
- have a general understanding of the ways in which these different techniques can be used to explore brain function;
- have a good working knowledge of the relative advantages and disadvantages of each technique, based on their strengths and limitations;
- be able to evaluate the appropriateness of using a particular neuroimaging technique to answer a specific question about brain function;
Teaching and learning methods
The course will be delivered over 12 x two-hour lectures delivered over six weeks (Semester 1, weeks 1-6). Teaching will be complemented by the availability of notes, slides and recommended reading.
Assessment methods
Method | Weight |
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Written exam | 100% |
Feedback methods
Glossary submissions for formative feedback.
Study hours
Scheduled activity hours | |
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Lectures | 24 |
Independent study hours | |
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Independent study | 126 |
Teaching staff
Staff member | Role |
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Daniel Cox | Unit coordinator |