About The Course
The FIL SPM course on using Statistical Parametric Mapping for neuroimaging is held each May and October as part of the Institute of Neurology's short course programme.
Monday to Wednesday
20-22 May 2019
Thursday to Saturday
23-25 May 2019
Statistical Parametric Mapping for MEG/EEG
Monday 20 May - Wednesday 22 May 2019
The course will present instruction on the analysis of EEG and MEG data. The first two days will combine theoretical presentations with practical demonstrations of the different data analysis methods implemented in SPM. On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty. We also invite students to bring their own data for analysis. The course is suitable for both beginners and more advanced users. We advise students to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM web page or by scanning through Litvak et al. (2011) or Henson et al. (2019).
Data pre-processing (Software demonstration)
Tim Tierney & Stephanie Mellor
Group M/EEG dataset analysis (Software demonstration)
Jose David Lopez
M/EEG source analysis (Software demonstration)
Leonardo Duque Muñoz &Emma Holmes
Tim West, Richard Rosh
“Questions and Answers” Clinic
Practical hands-on session
This session will take place in UCL computer classroom (7 Queen Square). Participants can either work on SPM tutorial datasets or on their own data with the help of the faculty. There will also be an opportunity to ask questions in small tutorial groups for further discussions on the topics of the lectures.
Statistical Parametric Mapping for fMRI
Thursday 23 May - Saturday 25 May 2019
The course will present instruction on the analysis and characterisation of neuroimaging data, including Magnetic Resonance Imaging (MRI) and functional MRI (fMRI). The three-day course will be divided into theoretical sessions covering spatial preprocessing, experimental design, statistical inference and dynamic causal modelling, and practical sessions in which the SPM software will be used to analyse exemplar data sets. This course is suitable for beginners and more advanced users. We advise students to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM website or by following data analysis examples in the SPM manual.
Introduction and Overview
The General Linear Model
Contrasts and Classical Inference
Random Field Theory
Spatial Preprocessing and VBM (Software demonstration)
“Questions and Answers” Clinic
Event-related fMRI(Software demonstration)
Introduction to Dynamic Causal Modelling
DCM neural and haemodynamic models
DCM for fMRI (Software demonstration)
Group DCM analysis for cognitive and clinical studies
“Questions & Answers” Clinic
Introduction, Allocation of groups
Queen Square House
Parallel session in small groups covering:
- fMRI analyses (several levels),
- Voxel-based Morphometry (VBM),
- Dynamic Causal Modelling (DCM).
Workshop feedback presentations
To book a place on the course please follow the instructions given on the UCL Online Store:
SPM Course Venue
Nearest tube stations are Russell Square and Holborn (Transport for London website).
Queen Square, London
Basement lecture theatre
University College Hospital
33 Queen Square
London WC1N 3BG
How often does the SPM course run?
The SPM for fMRI/MRI/VBM course is run in May and October each year. The SPM for EEG/MEG is held in May & the Physics for SPM Users courses is delivered once a year in October.
Do you teach PET as part of the programme?
We sometimes provide teaching on PET on the workshop day, however this is subject to the availability of staff. Most of the statistical concepts and techniques, which are taught on the course, are similar for both technologies.
Is the content of the May fMRI/MRI/VBM course different from the course offered in October?
They are the same.
Where can I access the materials for previous SPM courses?
Information and course material can be accessed at the following link: https://www.fil.ion.ucl.ac.uk/spm/course/
Would I need to bring my own computer/laptop to the course?
No, this is not required. Hands-on workshops take place in small groups with a provided computer. If you want, you can use your own laptop at the same time or to take notes.
Is there a reduced student rate?
Yes, the registration fees are reduced for students. It requires written confirmation of your student status in the form of a signed letter from the head of your department or departmental administrator.
Does the course count towards any credits for my MSc or postgraduate course?
Yes, if you are a UCL student. Students however; must ensure they attend each session to claim these credits.
What time does the course start/finish?
The course runs between 9:00am and 5:30am each day, which a lunch and coffee breaks, in between the sessions.
Can I pay for the course other than by credit or debit card?
Payment for the course is by debit or credit card only.
Can I get a refund of my fees if I am unable to attend?
You may be able to get a refund if you notify us at least two weeks before the start date of the course.
Can I get a discount if I am unemployed?
We regret we are not able to offer any discounts other than the discounted rate for students.
Can you recommend accommodation within the area?
The following hotels are all within walking distance of the Wellcome Trust Centre for Neuroimaging and the Lecture Rooms at 33 Queen Square. The reservation enquiry desk can be contacted by email firstname.lastname@example.org or telephone +44 (0) 207278 7871Please quote the name of the hotel you are interested in booking, when contacting the Reservation team.
- The Imperial, 61-66 Russell Square, London. WC1B 5BB
- The Bedford, 83-95 Southampton Row, London. WC1B 4HD
- The President, 50-60 Guilford Street, London. WC1N 1DB
- The Tavistock, 48-55 Tavistock Square, London. WC1H 9EU
- The Morton, 2 Woburn Place, London. WC1H 0LH
Does the Centre have disability access?
Yes, the Centre can accommodate wheel chair users and the lift services the lecture room at 33 Queen Square (QS) and each of the floors at no 12 QS. Please note however attendees with mobility or disability needs should notify us prior to attending the course(s), so specific arrangements can be noted and acted upon as needed.
What are the nearest mainline and underground stations to the course venue?
The nearest mainline stations are Kings Cross St Pancras and Euston Stations and the underground stations are Russell Square on the Piccadilly line and Holborn station on the Central line.