Modules for course C8CU | MSC/N
MSc Neuroimaging

These were the modules for this course in the 2018–19 academic year.

You can also view the modules offered in the years: 2019–20; 2020–21.

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Year 1 Modules

Compulsory Modules

Semester 1

Semester 2

  • PRP-4014: Advanced Research Methods (20) Core
    The content of the course will comprise of the following elements: Systematic Review, Meta-analysis, Qualitative Analysis, Single-Case Designs, Advanced Regression, ANOVA and ANCOVA, Repeated-measures and Mixed ANOVA, Categorical data & Logistic Regression, Factor, Cluster, & Reliability Analysis, MANOVA & Discriminant Function Analysis, Path Analysis & Structural Equation Modelling, Statistical Power & Effect Sizes, Statistics & Experimental Design. Reading List Field, A. (2009) Discovering Statistics Using SPSS (3rd Ed.). Sage (Essential) Tabachnick, B. &Fidell, L. (2007). Using Multivariate Statistics (5th Ed.) Pearson. (Further reading)
  • PPP-4024: Adv. Neuroimaging Analysis (10) Core
  • PRP-4025: Research Dissertation

Optional Modules

60 credits from:

  • PPP-4003: Clinical Neuropsychology II (20) (Semester 2)
    Key readings required for student presentations will be given out in class at least 1 week prior. PowerPoint presentations posed on Blackboard within 24 hours of Lecture The following list is a representative sample of scientific literature either given as reading to the students or presented in the lectures. Memory disorders Dementia Stroke and recovery Rehabilitation Epilepsy Parkinson’s Disease Traumatic Brain Injury Clinical trials and evidence based medicine
  • PPP-4004: Bio Bases of Neuro Disorders (20) (Semester 1)
    The module will provide insights into aspects of clinical and basic neuroscience that are critical for understanding the neurobiological basis of mental illness. Topics will include: • The functional organization of the human brain; • The structure and function of neurons, neural transmission and basic neuropharmacology; • Principles of neuropsychological assessment; • Systems neuroscience, as revealed by neurophysiology and neuropsychology, relevant to understanding major neuropsychiatric illness, including anxiety, depression, learning disability and psychosis. Special attention will focus on: • The functions of the limbic system, frontal cortex, hypothalamus and other subcortical structures in regulating learning, motivation, emotion and empathy. • The functions of the frontal and parietal cortex in regulating attention and purposeful behavior. • The function of major ascending neurotransmitter systems and their derangement in major psychiatric illness.
  • PPP-4005: Methods in Cog & Brain Res (20) (Semester 1)
    One part of the module will provide specific examples in selected areas of cognition and neuroscience, including patient studies, psychophysics, MRI, EEG and TMS. This part is composed of guest lectures talking about one or more research methods in cognition and brain. The second part of the module aims to provide in-depth analysis of specific topics within the area of psychology and neuroscience, highlighting the different methods. This part includes students’ evaluation and writing about one selected topic in cognition and brain.
  • PPP-4008: Bilingualism: Res & Methods (20) (Semester 1)
    Methods covered in this module will be selected form the following list, for each of which we have experts within the School of Psychology: Computational modelling, Corpus Analysis, Neuropsychology, Experimental psychology (Reaction times and eye-tracking), Neuroscientific methods (Event-related potentials, fMRI).
  • PPP-4010: Clinical Neuropsychology I (20) (Semester 1)
    The module will introduce students to the principles of neuropsychological assessment, provide an understanding of the pathophysiology of common diseases causing neuropsychological disability, and a foundation in functional neuroanatomy and neurological localisation relevant to the practice of clinical neuropsychology. It will also introduce students to neuropsychological disorders frequently encountered in clinical practice such as amnesia, aphasia, neglect, visuospatial impairment, agnosia, alexia, apraxia, and dysexecutive disorders. Reading List Lezak, M.D. (2004). Neuropsychological Assessment. Oxford: Oxfor University Press. Goldstein, L.H. & McNeil, J.E. (2004). Clinical Neuropsychology: A Practical Guide to Assessment and Management for Clinicians. Chichester: Wiley. Heilman, K.M. &Valenstein, E. (1985). Clinical Neuropsychology. Oxford: Oxford University Press. Snyder, P.J. & Nussbaum, P.D. (1998). Clinical neuropsychology: A Pocket Handbook for Assessment. Washington: American Psychological Association. Banich. M.T. (1997). Neuropsychology: The neural basis of mental functioning. Boston: Houghton Mifflin. Bradshaw, J.L. & Mattingley, J.B. (1995). Clinical neuropsychology: Behavioural and brain science. SanDeigo: Academic Press. Cytowic, R.E. (1996). The neurological side of neuropsychology. Cambridge, MA: MIT Press. Feinberg, T.E. & Farah, M.J. (1997). Behavioral neurology and neuropsychology. New York: McGraw Hill. Luria, A.R. (1973). Higher cortical functions in man. Basic Books. McCarthy, R.A. & Warrington, E.K. (1990). Cognitive neuropsychology: A clinical introduction. Academic Press Kolb, B. & Wishaw, I.P. (1990). Fundamentals of human neuropsychology Freeman. Martin, G.N. (1998). Human neuropsychology. London: Prentice Hall Stuss, D.T. & Knight, R.T. (2002). Principles of Frontal Lobe Function. Oxford: Oxford University Press. Walsh, K.W. & Darby, D. (1985). Neuropsychology: A Clinical Approach. Churchill Livingstone.
  • PPP-4012: Practical Programming (20) (Semester 2)
    The programming language we study is Visual Basic (VB), which enables you to create a visual user interface to your program. So as well as studying common elements of computer programming, we also spend time learning about the basics of visual interface design, and the kinds of common visual “controls” (clickable buttons, menus, lists of options etc.) typical of Windows-type interfaces. A variety of VB, known as Visual Basic for Applications (VBA), is embedded in many products of use in psychological research (Excel, E-Prime, Statistica, SPSS) as a scripting language. We will study VBA in the context of Excel to automate data analyses on spreadsheets (e.g., multiple t-tests, adaptive detection and removal of outliers). This is taught in the latter part of the course, and students should have prior experience of using Excel to handle data (i.e. of using the spreadsheet interface). Excel is included in MS Office software, and is made available to all students by the university. Visual Basic 2012 (Express edition) is available as a free download from Microsoft. Hence you will be able to work on your programs away from the lab. We will cover (at least) the following: General elements of programming (exemplified in Visual Basic): 1. Planning your program: What is the problem? How am I going to solve it? How can I break the solution down into steps? 2. Variables and Data types: How to declare, use and manipulate numbers, strings, lists, and (VB) objects. 3. Assigning values: How to give a variable a value. 4. Scope of variables: local and global variables. 5. Arithmetic operations: how to add, subtract, multiply etc 6. Simple string manipulations, e.g., concatenation. How to handle and manipulate filenames. 7. Collections of data: Creating and processing Lists and Arrays. 8. Subroutines and functions: What they are for, and the difference between them. Passing arguments and returning values from functions. 9. If... then ...else .. End if statements. How to make a conditional statement. 10. Loops: doing something repeatedly: a. For ... Next loops: doing the thing some number of times b. Do Until ... Loop, Do While ... Loop: doing the thing until (or while) some condition is fulfilled. 10. Basics of “Object-oriented” programming. Object hierarchies. Object.Method, Object.Property. Visual interface programming 1. Use of the VB programming environment,. 2. Graphical user interface (GUI) design. 3. Controls: what are they? Controls as objects. 4. VB Forms, placing controls on forms, naming controls. Changing properties of controls. 5. The object.method and syntax. 6. How manipulate common VB controls: Command buttons, text boxes, list boxes, labels, frames, option (radio) buttons, check boxes, data tables, progress bars etc. 7. Standard methods for the common controls. Linking controls to the underlying program. 8. File input/output; reading data from a file. Using file dialogs to Open and Save files. Visual Basic for Applications (VBA): Use in Excel 1. Starting VBA in Excel: The programming interface 2. Linking VBA to the Excel worksheet. 3. The Excel object model: Workbooks, Worksheets, Ranges, Cells. 4. VBA program modules, and the VBA UserForm. 5. Programming data manipulation in Excel with VB. Suggested Reading. Foxall, J. (2010). Sams Teach Yourself Visual Basic 2010 in 24 Hours. Pearson Education. Gaddis, T., & Irvine, K., (2010) Starting out with Visual Basic 2010. Pearson. Walkenbach, J., (2010, 2nd Edition). Excel VBA Programming for Dummies. (For Dummies (Computers))
  • PPP-4025: Applied Neurosci: Case Studies (20) (Semester 2)
  • PPP-4026: Clin&Applied Neurosci:Theory (20) (Semester 2)
  • PPP-4027: Educational Neuroscience (20) (Semester 2)
  • If students take PPP4025, then they must also take PPP4026.