Outline of lecture

We provide trainings for 窶廴atlab窶� and 窶彜PM窶� by using GSIC Educational System and Tsubame Grid Cluster to increase necessary knowledge for the analysis of brain image obtained by functional magnetic resonance imaging (fMRI). The SPM (statistical parametric mapping) is a software package to analyze human brain activities and it is employed in many fMRI studies. In this lecture, students will learn the theoretical background of the SPM and practical usage as well as how to use the Matlab that is required to run the SPM.

Purpose of lecture

We provide trainings for 窶廴atlab窶� and 窶彜PM窶� by using GSIC Educational System and Tsubame Grid Cluster to increase necessary knowledge for the analysis of brain image obtained by functional magnetic resonance imaging (fMRI). The SPM (statistical parametric mapping) is a software package to analyze human brain activities and it is employed in many fMRI studies. In this lecture, students will learn the theoretical background of the SPM and practical usage as well as how to use the Matlab that is required to run the SPM.

Plan of lecture

1.(13.Apr) Procedures to Get Tsubame Account and Introduction to Tsubame Literacy
2.(20.Apr) X11 Desktop Environment; Downloading and Uploading Data; Basic UNIX Commands (1)
3.(27.Apr) Use of a File-synchronization Tool Unison; Basic UNIX Commands (2)
4.(11.May) Basic Operation of Matlab
5.(18.May) Batch Processing and Script-M file
6.(25.May) Working with Data Matrix by Matlab
7.(1.Jun) Hands on SPM (I) : Instalation of SPM and Basic Usage
8.(8.Jun) The priciples behind SPM (Statistical Parametric Mapping) for brain imaging I
9.(15.Jun) Hands on SPM (II) : Preprocessing
10.(22.Jun) Preprocesssing of Brain images by SPM
11.(29.Jun) Hands on SPM (III) : Statistical Analysis
12.(6.Jul) Data and Model Specification on SPM
13.(13.Jul) Hands on SPM (IV) : Groupl Analysis
14.(24.Jul) The priciples behind SPM (Statistical Parametric Mapping) for brain imaging II
15.(27.Jul) Self-learning for Reviewal

Textbook and reference

No textbook is required.

Evaluation

Attendance and reports

Comments from lecturer

This lecture will be held from April the 13th on every Monday, 15:00~16:30 (Time Slots: 7-8) at the 1st Practical Room of Global Scientific Information and Computing Center (GSIC) (3rd floor). The access information can be found at the following URLs.
http://www.gsic.titech.ac.jp/contents/campusmap.html.ja
http://www.gsic.titech.ac.jp/contents/campusmap.html.en.
This course is strongly supported by Prof. Yasunori Kotani and Prof. Yoshimi Ohgami, specialists of the neurophysiology and assistant professors of the Graduate School of Decision Science and Technology.
No special knowledge on the brain is required.
For the more detailed information on the course, please refer to
http://www.ihes.hum.titech.ac.jp and feel free to send an email to Prof. Akama (akama@dp.hum.titech.ac.jp) or Prof.Kotani (kotani@hum.titech.ac.jp).
The credit of this course can be used to complete the International Human Economic Science Special Course which will start in April, 2009.