Functional Imaging Methods
In this module, you will learn about modern functional imaging methods. It covers the foundations of recently developed non-invasive methods that are widely used in human cognitive neuroscience studies. The module covers:
- functional magnetic resonance imaging (fMRI)
- structural MRI (voxel-based morphometry)
- magnetoencephalography (MEG)
- electroencephalography (EEG)
Experimental Design for Functional Imaging
Understanding how good and meaningful scientific studies are designed is crucial for applying high-tech imaging methods. This module introduces important principles of experimental design and how they link to data analysis. Specific lectures will cover:
- how to design neuroimaging experiments to address basic and cognitive neuroscience questions
- consideration for conducting experiments
- steps involved in analysing neuroimaging data, with particular emphasis on functional magnetic resonance imaging
Introduction to MATLAB Programming
Making sense of neuroimaging data requires sophisticated data analysis skills. A key aspect of these skills is learning how to use computers to customise and automate the use of existing software tools.
In this module, you will engage in problem-based learning to acquire some foundational skills in scripting/computer programming with MATLAB.
MATLAB is one of the most widely used scientific computing environments across academia and industry – here you will learn the fundamental aspects of computer programming and work on hands-on projects to, eg design and analyse a behavioural experiment, visualise functional MRI data, and perform statistical tests on data acquired at the Sir Peter Mansfield Imaging Centre.
Analytical Research Methods
This module is a selection of brief, but in-depth workshops covering advanced statistics for the neurosciences. You will cover:
- multiple regression
- correlation analysis
- exploratory factor analysis
Data Analysis for Neuroimaging
Experience a brain imaging session at our on-campus MRI centre. You will then analyse one of the data sets in further lab classes.
See the module spotlight under 'course details' for further information on this module including photos of what happens in the scanning session.
Working with a supervisor, you will undertake a placement to prepare for your own research project. A typical placement can involve:
- working out the details of an experimental design for a study, preparation of stimuli, and a pilot study (for example in two subjects)
- participation in an ongoing research project in the supervisor’s lab (for example during data acquisition and/or evaluation)
A selection of projects provided by our research academics will be available for you to choose from. You may develop an experimental design or prepare stimuli and run a small study. Alternatively, you may evaluate existing data and interpret the results.
You can tailor your course by choosing 30 credits of optional modules. These broadly fall into two streams:
Focuses on the neuroscientific approach to cognition. It is also rooted within neurobiology.
Available options include:
- Current Issues in Cognitive Neuroscience
- Cognition in the Real World
- The Visual Brain: Evolution, Development, Learning and Adaptation
Focuses on the brain-behavioural relation and addresses various functions in normal and disordered states, and across the lifespan.
Some of the optional modules include:
- Clinical Neuropsychology
- Neuropsychology of Action: The Body in the Brain
Please be aware that the availability of choice depends on timetabling. Other modules from courses outside of the school may be available.
The above is a sample of the typical modules that we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. Due to the passage of time between commencement of the course and subsequent years of the course, modules may change due to developments in the curriculum and information is provided for indicative purposes only.