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

Prerequisites
NEU10002 Neuroscience
Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024

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
TOTAL150

Assessment

Type Task Weighting ULO's
AssessmentIndividual 30% 3,4,5,6 
AssessmentIndividual 40% 1,2,3,4,5,6 
Online QuizzesIndividual 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.