The aim of this module is to provide hands-on practical experience in the analysis of neuroimaging data, and how to describe experiments and analyses in scientific reports. Students will learn to explain, report and critically evaluate experiments using fMRI and MEG, identifying the relative merits of these different cognitive neuroscience methods.
Module learning outcomes
Demonstrate the ability to perform neuroimaging analyses in fMRI and MEG
Understand and adhere to the format of scientific reports in the field of cognitive neuroscience
To write a scientific report in the format used in the field of cognitive neuroscience
Accurately report the results of fMRI and MEG analyses
Draw appropriate conclusions by integrating findings from fMRI and MEG experiments
Module content
Lecture: Introduction to Data Analysis in Neuroimaging
Practical: Understanding fMRI Data
Practical: fMRI Single Subject (1st Level) Analysis
Practical: fMRI Group (2nd Level) Analysis
Practical: fMRI Event-Related Design and ROI Analysis
Lecture: Describing Neuroimaging Methods
Practical: Understanding MEG Data
Practical: MEG Sensor Space Analysis
Practical: MEG Source Space Analysis
Practical: MEG Group Level Analysis
Lecture: Reporting Neuroimaging Results
Indicative assessment
Task
% of module mark
Essay/coursework
100
Special assessment rules
None
Indicative reassessment
Task
% of module mark
Essay/coursework
100
Module feedback
Marks will be provided through e:vision.
Indicative reading
Functional Magnetic Resonance Imaging by Huettel, Song, McCarthy (3rd edition)
Magnetoencephalography. Elizabeth W. Pang (Ed). InTech