Research in cognitive neuroscience and cognitive neuropsychology employs a diverse range of analytical tools and procedures. This module provides specialist Masters students with the training necessary to critically evaluate the analyses presented in published research. Additionally, students will be trained to apply numerical techniques to neuropsychological and psychophysiological data and to interpret the output of popular analysis software.
Aims
To teach students:
- the rationale and methodology of single case studies in cognitive neuropsychological research.
- the advantages of a case series approach over a single case approach.
- statistical techniques that can be used to analyze data from single case studies and that can compare data from single cases with data from a group of controls.
To give students:
- conceptual knowledge about the maths that supports the analyses found within published papers in cognitive neuroscience.
- the skills necessary to use analysis software for fMRI (SPM) and EEG (EEGLAB) analysis.
Learning Outcomes
At the end of this module students will be able to:
(a) Demonstrate understanding of the philosophical and statistical underpinning of a variety of analytical techniques.
(b) carry out and interpret statistical analyses of data generated by cognitive neuropsychological research.
(c) Write research reports for single case studies within cognitive neuropsychology.
(d) interpret the output of world-leading advanced software tools used in fMRI research.
(e) use commonly available software to analyse psychophysiological datasets to localise sources of EEG data.
Aims
To teach students:
- the rationale and methodology of single case studies in cognitive neuropsychological research.
- the advantages of a case series approach over a single case approach.
- statistical techniques that can be used to analyze data from single case studies and that can compare data from single cases with data from a group of controls.
To give students:
- conceptual knowledge about the maths that supports the analyses found within published papers in cognitive neuroscience.
- the skills necessary to use analysis software for fMRI (SPM) and EEG (EEGLAB) analysis.
Learning Outcomes
At the end of this module students will be able to:
(a) Demonstrate understanding of the philosophical and statistical underpinning of a variety of analytical techniques.
(b) carry out and interpret statistical analyses of data generated by cognitive neuropsychological research.
(c) Write research reports for single case studies within cognitive neuropsychology.
(d) interpret the output of world-leading advanced software tools used in fMRI research.
(e) use commonly available software to analyse psychophysiological datasets to localise sources of EEG data.