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Module PPP-4021:
Intro Neuroimaging Analysis

Introduction to Neuroimaging Analysis 2024-25
PPP-4021
2024-25
School Of Human And Behavioural Sciences
Module - Semester 1
10 credits
Module Organiser: Paul Mullins
Overview

1) Physical and practical principles of MRI imaging, Methods for image pre-processing (e.g. image registration etc.) and basic handling of imaging data; 2)  Practicalities associated with the physiology of MRI contrast in the brain, with a focus on measures of cerebral metabolism and blood flow; 3)  Principles and practical methodologies for measurement of changes in cerebral metabolism; 5)   Practicalities of statistical analyses of functional imaging time-series; 6)   Experimental design for functional imaging; 7) The safety and ethical issues that arise in regards to neuroimaging research and how they apply to the researcher, participants and the wider community.

Learning Outcomes

  • 1. Understand modern neuroimaging data formats and solid data management and hygiene practices

  • 3. Use this knowledge of the GLM to design a good fMRI study

  • 4. Be able to pre-process and analyze MRI and fMRI data.

  • 5. Be able to report and interpret the results of fMRI studies.

  • 6. A thorough understanding of MRI safety

  • 7. An understanding of the ethical issues associated with handling modern neuroimaging data.

  • Have a solid understanding of practical application of the general linear model (GLM) to analysis of neuroimaging data

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Summative

Weighting

5%

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50%

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