Undergraduate Course: Neuroimaging (BIME10009)
Course Outline
| School | Edinburgh Medical School |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Neuroimaging is burgeoning: neurological, neurosurgical and neuropsychological advances require increasingly sophisticated imaging techniques. Scope of neuroimaging applications range from laboratory-type research, through to translational medicine, clinical application, physics and engineering, mathematics and statistics, as well as informatics and computing sciences. This course will introduce students to neuroimaging basic sciences, techniques, applications in research and clinical situations, neuroanatomy, safety issues and practical applications. |
| Course description |
This 20 credit elective draws on materials from the Edinburgh Imaging Academy MSc programmes. The major themes covered in this elective are imaging techniques and physics, as well as applications of imaging in disease and research. Minor themes include practicalities and safety considerations, image interpretation and data protection. All lectures, activities and assessments are delivered online, with face-to-face sessions at key inflection points during the semester. There are two assessments: an in-course activity consisting of a mixture of individual and group work; and an end-of-course assessment consisting of MCQs and a timed written essay.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Academic year 2025/26, Not available to visiting students (SS1)
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Quota: 0 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Seminar/Tutorial Hours 6,
Online Activities 40,
Feedback/Feedforward Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
147 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Feedback |
Tutor marks and feedback for the in-course activities (ICA) will be returned to you. Where appropriate, tutor feedback and marks will be provided after each ICA component, and before the next activity stage is finished. In addition to marks, tutors may choose to provide you with individual or whole class feedback. The ICA is designed so that you can also benefit from peer-to-peer feedback and self-reflection while the ICA is in
progress. We also provide you with formative feedback opportunities via module discussion boards which are not formally marked.
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| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Describe neuroimaging techniques (e.g. CT, MRI, Functional Imaging, Experimental Imaging), including the basic underlying physics principles, benefits and drawbacks of each technique, and applications clinically and in research.
- Discuss selected neuro research topics / diseases (e.g. Neurosurgery, Stroke, Depression, Motor Neuron Disease, Schizophrenia) with a focus on how neuroimaging is used to investigate and study these topics.
- List safety issues and the practicalities of scanning subjects / patients for each neuroimaging technique. Relate the safety issues and practicalities to scanning in the research and clinical environments, as well as to specific topics / diseases under investigation.
- Outline and describe data protection considerations related to imaging data, privacy, anonymization and data sharing.
- Identify and locate important neuroanatomy on neuroimaging. Relate abnormalities on neuroimaging to anatomy to effects on function. Demonstrate effective literature review, synopsis, dissemination of knowledge of neuroimaging, through independent work and group activity.
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Reading List
| Readings are listed in the Resources section of each online module within the Virtual Learning Environment. They are prioritised so students should focus on readings with highest priority for each module and touch on others if they are more interested in the particular topic. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
Classes will be delivered online via the University of Edinburgh LEARN platform. |
| Keywords | NI |
Contacts
| Course organiser | Prof Andrew Farrall
Tel: (0131) 537 3910
Email: andrew.farrall@ed.ac.uk |
Course secretary | Miss Sam Fisher
Tel: (0131 6)50 3160
Email: sam.fisher@ed.ac.uk |
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