Undergraduate Course: Neuroimaging (BIME10009)
Course Outline
| School | Deanery of Biomedical Sciences |
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 due to neurological, neurosurgical and neuropsychological advances, which require increasingly sophisticated imaging techniques. As well, the technology which allows the neural axis to be imaged is rapidly advancing, as are post-processing and image analysis techniques. The scope of neuroimaging applications range from laboratory-type research, through translational medicine, clinical application, physics and engineering, mathematics and statistics, as well as informatics and computing sciences. This course will introduce students to cutting edge neuroimaging basic sciences, techniques, applications in research and clinical situations, neuroanatomy, safety issues and practical applications. |
| Course description |
Since 2009 Edinburgh Imaging Academy had run a 10 credit elective course for the programme, using materials derived from its 180 credit, part time MSc programmes. In the 2014-15 academic year the elective was successfully expanded to 20 credits by drawing on additional materials from the existing MScs. The MSc courses from which materials are drawn are: Techniques and Physics, Applications in Disease, Practicalities and Safety, Image Interpretation and Evaluation and Translational Imaging and Clinical Trials. The modules hosted within the above courses are listed in the handbook for the neuroimaging BIME10009 elective course. (See http://www.ed.ac.uk/clinical-sciences/edinburgh-imaging/education-teaching/short-courses/all-our-courses for more details on the content.)
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Academic year 2017/18, Not available to visiting students (SS1)
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Quota: 25 |
| 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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| Additional Information (Assessment) |
In course MCQs 10%
In course assignment 40%
Exam 50%
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| Feedback |
Tutor marks for all of the components in the small group discussion activities will be returned to you. Where appropriate, tutor feedback and marks will be provided after each of the activity components, and before the next activity stage is finished. In addition to marks, content tutors may choose to provide you with some individual or whole class feedback.
In addition to tutor feedback at the end, activities are designed so that you benefit from peer-to-peer feedback and self-reflection while they are in progress. We also provide you with formative feedback opportunities via module discussion boards which are not formally marked.
Module tests presented at the end of each module are summatively assessed for the Hons cohort.
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| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | Neuroimaging | 1:30 | |
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: |
Course secretary | Mr Philip Horey
Tel: (0131 6)50 3160
Email: |
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