Postgraduate Course: Neuroimaging Research for Graduate Neuroscientists (20C) (NEME11061)
Course Outline
| School | Deanery of Clinical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Neuroimaging techniques basics, modality overviews, practicalities and safety, as well as applications in neurological diseases, primarily with a research focus. |
| Course description |
This course is delivered to the Integrative Neuroscience MScR programme.
Modules cover the techniques and physics of radiation based, and magnetic resonance based imaging acquisition, plus how these basic physics principles translate into modern neuroimaging modalities (radiography / X-ray, single-photon emission computed tomography (SPECT), positron emission tomography (PET), computed tomography (CT), and magnetic resonance (MR)). Key practical and safety considerations are covered. Students also learn how these imaging techniques are applied in research into common neurological diseases and they receive a week of timetabled teaching on systematic literature reviews. The didactic component of the course will consist of online lectures, required readings from the University library, and MCQs to re-enforce learning objectives, supported by online discussion boards. Activities, which will run in parallel to the didactic components and be matched to the learning objectives, will include individual work, peer review, as well as group and tutor engagement, with a view to exploring taught concepts in greater detail.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2022/23, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Online Activities 80,
Formative Assessment Hours 8,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
88 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
In-course assessment (50%) consisting of multiple submission points spread out over the span of the semester. End-of-course assessment (50%) consisting of objective test questions and essay questions. |
| Feedback |
Summative feedback will be provided for each submission of the in-course assessment. Similarly for the end-of-course assessment activities.
Formative feedback will be provided via timetabled synchronous online sessions, held during the course of the semester. Written formative peer feedback will also be provided during the in-course assessment.
Additional formative feedback will be provided via automatically marked objective tests questions delivered at various milestones during the semester.
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| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- describe principles behind radiation and magnetic resonance based image acquisition; and critically evaluate the relative merits and drawbacks of the various imaging modalities.
- discuss and debate applications of neuroimaging techniques and neuroimaging technology to neuroscience research.
- state practical and safety considerations, important when engaging with neuroimaging in research and demonstrate the ability to deduce such considerations to novel or previously unseen imaging scenarios.
- demonstrate competence in using bibliographic databases to conduct complex search strategies (for systematic literature reviews) & communicate findings to peers.
- critically appraise published research work, critically evaluate the work of peers & be able to provide constructive feedback.
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Reading List
| A list of required and recommended readings is provided through the relevant institutional platform (resourcelists.ed.ac.uk). |
Additional Information
| Graduate Attributes and Skills |
White Matter Disease
1. Skills and abilities in Research and Enquiry: students will be equipped to assess, analyse and evaluate imaging with a view to investigating diseases
2. Skills & abilities in Personal & Intellectual Autonomy: the online eLearning delivery format means students have to be self-motivated and self-directed in order to complete the coursework successfully. They will be directed to compulsory readings in the literature which will act as a springboard for further readings. Activities are designed so that students have to work independently, before discussing and presenting their work to peers and tutors.
3. Skills and abilities in Communication: the success of online distance learning depends on interaction with peers and tutors. Activities will all have group components where students communicate with each other and learn to work together to achieve various goals. Discussion boards associated with each Module also will allow students to post questions as well as to answer questions of their peers. Students will develop good practice in communication and collaboration using modern online communication tools, including but not restricted to asynchronous discussion forums, wikis, peer review software and other web tools.
4. Skills and abilities in Personal Effectiveness: the nature of the online distance learning environment means that students have to develop effective time management skills, as well as self-discipline with regards to regular study. They also need to juggle time-limited interactions with peers and tutors on which they are assessed. |
| Keywords | Radiation,X-ray,SPECT,PET,MR,Stroke,Dementia,Tumour,MND,Depression,Schizophrenia,Alzheimer,WMD |
Contacts
| Course organiser | Prof Andrew Farrall
Tel: (0131) 537 3910
Email: andrew.farrall@ed.ac.uk |
Course secretary | Dr Charilaos Alexakis
Tel: 0131 537 3125
Email: C.Alexakis@ed.ac.uk |
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