Neuroimaging
Overview
The aim of this unit is to develop a theoretical understanding and gain practical knowledge in non-invasive neuroimaging the human brain. Structural, metabolic and imaging techniques will be addressed with respect to examples in the following areas of study; cognitive neuroscience, visual neuroscience, clinical neuroscience and psychopharmacology. This technical unit will examine the underlying technologies and physical principles associated with neuroimaging. Methodological issues associated with the technologies will also be addressed. Techniques such as MRI, fMRI, MEG and EEG will be covered by this unit.
Requisites
01-June-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Describe neuroimaging applications to cognitive neuroscience
- Apply basic physical and engineering principles to measurement problems in neuroimaging
- Identify key methodological concerns associated with the various neuroimaging techniques
- Distinguish testing designs associated with different neuroimaging modalities
- Perform basic signal processing of multi-dimensional datasets
- Implement preprocessing and analysis algorithms for neuroimaging data
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| Live Online Lecture | 1.00 | 12 weeks | 12 |
| Online Lecture | 2.00 | 12 weeks | 24 |
| On-campus Class | 2.00 | 6 weeks | 12 |
| Specified Activities Various | 3.00 | 12 weeks | 36 |
| Unspecified Activities Independent Learning | 5.50 | 12 weeks | 66 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assessment | Individual | 30% | 3,4,5,6 |
| Assessment | Individual | 40% | 1,2,3,4,5,6 |
| Online Quizzes | Individual | 30% | 1,2,3,4 |
Content
- Basic Biological and Methodological Concepts of Neuroimaging Techniques
- Overview of Brain Imaging Techniques (Structural and Metabolic)
- Image Processing Basics
- Human Brain Mapping with fMRI
- Statistical Modelling of fMRI Images
- The use of MEG in measuring brain function and connectivity
- Applications of neuroimaging to studies of Cognition associated with normal and abnormal processes.
- Graduate Attribute – Communication Skills: Communicating using different media
- Graduate Attribute – Teamwork Skills: Collaboration and negotiation
- Graduate Attribute – Digital Literacies: Information literacy
- Graduate Attribute – Digital Literacies: Technical literacy
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.