The first Asia-Pacific BrainVoyager Training Course will take place on 28th and 29th of September 2000 in the Singapore General Hospital. It will be held by Rainer Goebel, author of BrainVoyager, together with colleagues who have at least one year of intensive experience in using the software. In the morning lectures, essential topics on how to use BrainVoyager will be presented. The afternoon sessions offer the opportunity to work with BrainVoyager on example data. Ten powerful Pentium III workstations are available for the exercises. Attendees should be familiar with basic concepts of functional MRI and statistics.
The number of participants is limited to 20 persons. The
participation costs are EUR 300 which cover the course, lunch and refreshments. It does
not include hotel costs. If you are interested in participating on
this course, send an email to SingaporeCourse@BrainVoyager.com.
You will then receive further information about the course.
Day 1
| 9:00 - 9:30 | Introduction and Overview |
| 9:30 - 10:30 | Creating projects, stimulation protocols, data preprocessing |
| 10:30 - 11:00 |
- Coffee break - |
| 11:00 - 11:30 | Talairach transformation of functional and anatomical data sets |
| 11:30 - 12:30 | Statistical analysis of block and event-related designs |
| 12:30 - 14:00 |
- Lunch break - |
| 14:00 - 16:00 | Exercise 1: Analyzing a block-design experiment |
| 16:00 - 16:30 |
- Coffee break - |
| 16:30 - 18:30 | Exercise 2: Analyzing an event-related paradigm |
Day 2
| 9:00 - 10:00 | Interoperability: Accessing BrainVoyager from scripts, Matlab and C++ |
| 10:00 - 11:00 | Segmentation and surface reconstructions of the head and cortex |
| 11:00 - 11:30 |
- Coffee break - |
| 11:30 - 12:30 | Cortex-based Independent Component Analysis |
| 12:30 - 13:00 | Cortex-based intersubject alignment |
| 13:00 - 14:00 |
- Lunch break - |
| 14:00 - 16:00 | Exercise 1: Segmentation and surface reconstruction |
| 16:00 - 16:30 |
- Coffee break - |
| 16:30 - 18:30 | Exercise 2: Cortex flattening and visualization of functional data |