PCHN62131 15 Semester 1 Postgraduate Taught Level 7 Martyn Mcfarquhar Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 <p>This unit will explore the complex interactions between experimental design, the characteristics of the hemodynamic response function, cortical neuronal activity, the demands of MR and EEG/ERP data acquisition procedures and the limitations imposed by their respective acquisition environments. The course will explore both blocked and event-related designs and will highlight the potential advantages of mixed designs. There will be a strong focus on contrasting different types of experimental design and the relative strengths and weaknesses they bring to an experiment. Confounding factors, control, power issues and the fundamentals of how to set up a good research hypothesis will be explored.The major theoretical component of the course will be complemented by the acquisition of practical computer-based experiment building skills as well as additional quantitative statistical analysis skills using SPM. &nbsp;</p> <p>This unit will explore the complex interactions between experimental design, the characteristics of the hemodynamic response function, cortical neuronal activity, the demands of MR and EEG/ERP data acquisition procedures and the limitations imposed by their respective acquisition environments. The course will explore both blocked and event-related designs and will highlight the potential advantages of mixed designs. There will be a strong focus on contrasting different types of experimental design and the relative strengths and weaknesses they bring to an experiment. Confounding factors, control, power issues and the fundamentals of how to set up a good research hypothesis will be explored.The major theoretical component of the course will be complemented by the acquisition of practical computer-based experiment building skills as well as additional quantitative statistical analysis skills using SPM. &nbsp;</p> <p>This unit aims to provide students with a solid working knowledge and detailed understanding of the key factors involved in the design and optimisation of functional imaging experiments (fMRI and M/EEG) and how these impact on data analysis and interpretation. The course also aims to provide the skills required to be able to design an effective and valid fMRI and M/EEG experiment. &nbsp;</p> <p>By the end of the course unit, students will be able to:</p><ul><li>Set up a good research hypothesis in cognitive brain imaging</li><li>Understand the key issues involved in fMRI and PET experimental design</li><li>Understand of the key issues involved in M/EEG experimental design</li><li>Understand the relative advantages and disadvantages of blocked, event and mixed designs</li><li>Understand various categorical, factorial and parametric designs and issues relating to their interpretation</li><li>Design an fMRI and EEG/ERP experiment</li><li>Critically evaluate cognitive brain imaging data in terms of the experimental design</li><li>Use a computerised stimulus presentation procedure</li></ul> <p>The course will be taught through a combination of synchronous lectures and lab sessions (6 x two hours delivered over six weeks), alongside online asynchronous teaching materials. Additional lab sessions and lab support will be available for students, if needed. Teaching will be complemented by the availability of notes, slides and recommended reading. &nbsp;</p> 2 Written assignment (inc essay) 60% 9 Set exercise 40% <p>No information available.</p> MSc Neuroimaging for Clinical MSc Neuroimaging for Clinical PGDT Taught Component Mandatory N Lectures 24 0 126