Modiwl PPP-4021:
Introduction to Neuroimaging Analysis
Ffeithiau’r Modiwl
Rhedir gan School of Human and Behavioural Sciences
10.000 Credyd neu 5.000 Credyd ECTS
Semester 1
Trefnydd: Prof Paul Mullins
Amcanion cyffredinol
Introduction to Neuroimaging Analysis focuses on teaching students the practicalities of modern neuroimaging techniques focusing on MRI, the processing and analysis of imaging data, and the design of neuroimaging research studies. The course aims to teach students the skills to design and analyse their own MRI and fMRI studies. For 2020-21 academic year, due to COVID-19 restrictions and to ensure student and staff safety, the module will be run as an on-line "virtual lab", where students will learn basic analysis, data visualisation and programming skills in Matlab, as well as in a number of other software tools (FSL, SPM, MRS and DTI packages).
Cynnwys cwrs
1) Physical and practical principles of MRI imaging, Methods for image pre-processing (e.g. image registration etc.) and basic handling of imaging data; 2) Practicalities associated with the physiology of MRI contrast in the brain, with a focus on measures of cerebral metabolism and blood flow; 3) Principles and practical methodologies for measurement of changes in cerebral metabolism; 5) Practicalities of statistical analyses of functional imaging time-series; 6) Experimental design for functional imaging; 7) The safety and ethical issues that arise in regards to neuroimaging research and how they apply to the researcher, participants and the wider community.
Meini Prawf
trothwy
Links to C grades Knowledge of key areas/principles only • Limited evidence of background study • Answer only poorly focused on ques3on & with some irrelevant material & poor structure • AQempts to present relevant and coherent arguments • Has several factual/computa3onal errors • No original interpreta3on • Only major links between topic are described • Limited problem solving • Many weaknesses in presenta3on & accuracy
ardderchog
Links to A grades Comprehensive knowledge • Detailed understanding of the subject area • Extensive background study • Highly focused answer & well-structured • Logically presented & defended arguments • No factual/computa3onal errors • Original interpreta3on • New links to topic are presented • New approach to a problem • Excellent presenta3on with very accurate communica3on
da
Links to B grades Strong Knowledge • Understands most but not all of subject area • Evidence of background study • Focused answer with good structure • Arguments presented coherently • Mostly free of factual/computa3onal errors • Some limited original interpreta3on • Well known links described between topics • Problems addressed by exis3ng methods/approaches • Good presenta3on, accurate communica3on
Canlyniad dysgu
-
Have a solid understanding of practical application of the general linear model (GLM) to analysis of neuroimaging data
-
- A thorough understanding of MRI safety
-
- Understand modern neuroimaging data formats and solid data management and hygiene practices
-
- Be able to report and interpret the results of fMRI studies.
-
- An understanding of the ethical issues associated with handling modern neuroimaging data.
-
- Use this knowledge of the GLM to design a good fMRI study
-
- Be able to pre-process and analyze MRI and fMRI data.
Dulliau asesu
| Math | Enw | Disgrifiad | Pwysau |
|---|---|---|---|
| Lab Book Week 1 | 5.00 | ||
| Final Project | 50.00 | ||
| Lab Book Week 2 | 5.00 | ||
| Lab Book Week 3 | 5.00 | ||
| Lab Book Week 4 | 5.00 | ||
| Lab Book Week 5 | 5.00 | ||
| Lab Book Week 7 | 5.00 | ||
| Lab Book Week 8 | 5.00 | ||
| Lab Book Week 9 | 5.00 | ||
| Lab Book Week 10 | 5.00 | ||
| Lab Book Week 11 | 5.00 |
Strategaeth addysgu a dysgu
| Oriau | ||
|---|---|---|
| Practical classes and workshops | The course aims to teach students the skills to design and analyse their own MRI and fMRI studies. For 2020-21 academic year, due to COVID-19 restrictions and to ensure student and staff safety, the module will be run as an on-line "virtual lab", where students will learn basic analysis, data visualisation and programming skills in Matlab, as well as in a number of other software tools (FSL, SPM, MRS and DTI packages). |
33 |
| Private study | 67 |
Sgiliau Trosglwyddadwy
- Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
- Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
- Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
- Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
- Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
- Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
- Sgiliau Rhyngbersonol - Gallu gofyn cwestiynau, gwrando'n astud ar atebion a'u harchwilio
- Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
- Ymwybyddiaeth o ddiogelwch - Bod yn ymwybodol o'ch amgylchedd a hyder o ran cadw at reoliadau iechyd a diogelwch
- Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
- Gwaith Tîm - Gallu cydweithio'n adeiladol ag eraill ar dasg gyffredin, ac/neu fod yn rhan o dîm gweithio o ddydd i ddydd
- Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
Sgiliau pwnc penodol
- Understand the scientific underpinnings of psychology as a discipline.
- Communicate psychological concepts effectively in written form.
- Communicate psychological concepts effectively in oral form.
- Be computer literate for the purpose of processing and disseminating psychological data and information.
- Retrieve and organise information effectively.
- Engage in effective teamwork for the purpose of collaborating on psychological projects.
- Work effectively under pressure (time pressure, limited resources, etc) as independent and pragmatic learners.
- Problem-solve by clarifying questions, considering alternative solutions, making critical judgements, and evaluating outcomes.
- Reason scientifically and demonstrate the relationship between theory and evidence.
- Understand and investigate the role of brain function in all human behaviour and experience.
- Comprehend and use psychological data effectively, demonstrating a systematic knowledge of the application and limitations of various research paradigms and techniques.
- Use a range of statistical methods with confidence.
- Use a variety of psychological tools, including specialist software, laboratory equipment and psychometric instruments.
- Be aware of ethical principles and approval procedures.
Adnoddau
Goblygiadau o ran adnoddau ar gyfer myfyrwyr
Computer access is required
Rhagofynion a Chydofynion
Rhagofynnol ar gyfer:
Cydofynion
Cyrsiau sy’n cynnwys y modiwl hwn
Gorfodol mewn cyrsiau:
- C8CU: MSc Neuroimaging year 1 (MSC/N)
Opsiynol mewn cyrsiau:
- 6S26: BSc Neuropsychology year 3 (BSC/NI)
- C8BZ: MRes Psychology year 1 (MRES/PSYCH)
- C8EG: MSc Principles of Clinical Neuropsychology year 1 (MSC/PCNP)
- C8DU: MSc Psychology year 1 (MSC/PSY)
- C8EX: MSc Psychology (with Incorporated Pre-Masters) year 1 (MSC/PSY1)
- C8AL: MSc Psychological Research year 1 (MSC/PSYRES)
- C808: MSci Psychology with Clinical & Health Psychology year 4 (MSCI/PHS)
- C807: MSci Psychology year 4 (MSCI/PS)