Postgraduate Course: Brain Imaging in Neuropsychology (PSYL11059)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Brain Imaging in Neuropsychology introduces the student to a range of brain imaging techniques and examines their application to cognitive neuropsychology and cognitive neuroscience.
This course considers methods from functional and structural magnetic resonance imaging and positron emission tomography to event-related potentials and magnetoencepalography. It provides extensive teaching on functional imaging using fMRI and ERPs. The course critically examines applications of brain imaging in health and disease, and the interpretation of brain imaging findings.
The course has two parts:
In Semester 1, Part A: Brain Imaging Techniques and Applications introduces the techniques and their limitations in the context of their application to the understanding of cognitive functions and dysfunctions in healthy and clinical populations.
In Semester 2, Part B: Brain Imaging in Cognitive Neuroscience examines M/EEG and fMRI in more detail. It considers the scope of brain imaging techniques and their combination using further example applications. It invites students to evaluate the limits on what can be learned from these techniques. Teaching is provided by imaging specialists within the HCN team and by external lecturers.
In addition to face-to-face teaching via lectures and tutorials, the course includes learning through an interactive e-learning package on Brain Imaging. Students are expected to go through these e-learning tutorials during the course in their own time.
By the end of the course, students should be able to:
1) understand and critically evaluate brain imaging papers, and
2) integrate and interpret brain imaging findings in the context of findings from neuropsychology and behavioural studies
Feedback Events:
- The CO will run office hours for Q&A
- A Learn discussion board will be set up
- Students will be offered feedback on up to 2 short answer question outlines if submitted by a deadline to be advertised in semester 1 |
| Course description |
Not entered
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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 2015/16, Available to all students (SV1)
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Quota: None |
| Course Start |
Full Year |
| Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 38,
Feedback/Feedforward Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
156 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Short answer questions which students have one week to complete at the end of the course, 1200-1500 words
Assignment Deadline: Thursday 2nd April 2015, 12 noon
Maximum Word Length: 1500 words
Assignment Return Date: 24th April 2015 |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
1) Understand the main principles of the application of a range of functional and structural neuroimaging methods in cognitive neuroscience and neuropsychology
2) Become familiar with examples of the application of cognitive neuroimaging to specific research areas
3) Be able to read neuroimaging papers critically and evaluate the use of these techniques to investigate cognitive models (e.g. memory, attention, consciousness) and cognitive dysfunction
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Brain Imaging, Neuropsychology |
Contacts
| Course organiser | Prof Sharon Abrahams
Tel: (0131 6)50 3339
Email: |
Course secretary | Miss Toni Noble
Tel: (0131 6)51 3188
Email: |
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