Statistical Parametric Mapping for PET & fMRI Short Course - Vancouver August 5-7, 2010

Positron Emission Tomography Imaging at UBC is hosting a workshop/course on the Statistical Parametric Mapping (SPM) software package from Thursday August 5th through Saturday August 7th 2010 in Vancouver, BC Canada.

Course Description

The course will present instruction on the analysis and characterisation of functional imaging data. This includes Magnetic Resonance Imaging (MRI), functional MRI (fMRI), and Positron Emission Tomography (PET). The three-day course will be divided into theoretical sessions covering experimental design and statistical inference and practical sessions in which SPM will be used to analyse exemplar data sets. The course is suitable for both beginners and more advanced users. We advise participants to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM web page
(http://www.fil.ion.ucl.ac.uk/spm/doc/intro/).

Four instructors will be on site to present the course: Tom Nichols, Ged Ridgway, JB Poline and Darren Gitelman.

The updated and finalized course schedule is now available.

Cost and Registration

Course registration is CLOSED.

The course registration fee is $670CAD + 12% HST ($750.40CAD) per attendee. The registration fee covers only the course. Accommodations, food, etc. must be arranged separately by each attendee. To book accommodations near the course location, see the recommended accommodations on UBC's Point Grey campus.

To register for the SPM course, please fill out and submit the Online Registration Form. Space is limited to 40 attendees.

Additional Information and Getting Here

Additional course information is availble in the SPM Course Information PDF document. Also, a map is available for download to assist attendees in finding the course location.

Lecture Slides

Lecture notes for all sections of the course are now available for download.  A discussion of SPM8 Resources has also been provided by the course instructors.

From Thursday August 5th:

• Spatial Preprocessing
• The General Linear Model
• Contrasts and Classical Inference
• Group Analysis
• Random Field Theory & Alternatives (see also Nonparametric Inference with SnPM)

From Friday August 6th:

• Experimental Design (see also Taxonomy of Experimental Design)
• Event-related fMRI
• Bayesian Inference
• Voxel Based Morphometry
• PPI's and Dynamic Causal Modelling for fMRI