15 Credits SPRING



Aims/Description: This module provides an overview of neuroimaging techniques and fundamental data analysis methodologies employed, specifically those based around functional magnetic resonance imaging (fMRI). The two aspects of neuroimaging (techniques and data analysis) will be taught over the semester. For neuroimaging techniques, after introducing the physical principles underlying fMRI, a description of fMRI-based methods for mapping brain structure and function will follow. One complementary neuroimaging technique will also be introduced, specifically optical imaging spectroscopy, etc. For neuroimaging data analysis, the general linear model methodology will be introduced based on the software SPM (Statistical Parametric Mapping), which is one of the most widely used packages for fMRI data analysis. Issues concerning fMRI experimental design and efficiency will also be discussed and taught in depth.

Staff Contact: Josie Cassidy
Teaching Methods: Lectures, Laboratory work, Independent Study
Assessment: Formal Exam

Information on the department responsible for this unit (Psychology):

Departmental Home Page
Teaching timetable

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