MSc Neuroimaging for Clinical & Cognitive Neuroscience / Course details

Year of entry: 2021

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Course unit details:
Neuroimaging Techniques

Unit code BIOL62101
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
Offered by School of Biological Sciences
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
Written exam 100%

Feedback methods

Glossary submissions for formative feedback.

Study hours

Scheduled activity hours
Lectures 24
Independent study hours
Independent study 126

Teaching staff

Staff member Role
Daniel Cox Unit coordinator

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