Credits Lecture:1 Practice:0 Experiment:0 / code:65061
- Outline of lecture
- As a new functional magnetic resonance imaging(fMRI）environment will be established in Tokyo Tech, this subject provides skills of a basic neuro-imaging technology using the fMRI scanner. Students will get the basic knowledge about the cognitive brain science which have been brought from the fMRI techniques as well as control techniques against electro-magnetic artifacts produced in the brain laboratory.
- Purpose of lecture
- As a new functional magnetic resonance imaging (fMRI) environment has been established in Tokyo Tech, this subject provides skills in neuroimaging data acquisition and analysis using the fMRI scanner (Signa HDxt 3.0T, GE Healthcare) in the O-okayama campus. In the control room of the fMRI laboratory, students will get the basic knowledge about the brain science from a guest lecturer, fMRI specialist who will be invited from abroad.
- Plan of lecture
- 1.Basic concepts of brain science
2.What is fMRI ?
3.Basic operation of a fMRI scanner
Beginning of February, during the period of the intensive courses
February 4th:10:40~12:10 Introductory session (by Prof. Akama)--flexible time schedule subject to further change if there are requests from students
February 4th:13:20~16:30 Basic fMRI 1 (by a researcher from Center for Brain/Mind Sciences, University of Trento)
February 7th:13:20~16:30 Basic fMRI 2 (by a researcher from Center for Brain/Mind Sciences, University of Trento)
February 9th:10:40~12:10 Wrap-up session (by Prof. Akama)--flexible time schedule subject to further change if there are requests from students
- Textbook and reference
However, students are requested to read beforehand http://www.cimec.unitn.it/volunteers/docs/mri_en.pdf to get the flavor of this research field. If you want to study fMRI seriously, it is highly recommended to read Scott A. Huettel, Allen W. Song, and Gregory McCarthy, Functional Magnetic Resonance Imaging, Second Edition, Sinauer, 2009
- Related and/or prerequisite courses
- Computational Brain Science and Complex Networks with Matlab (SPM) (2010, Spring semester)
- Attendance and short dissertation
- Comments from lecturer
- Attention: This course is subject to further revisions. Credit from this course can be counted towards completing the International Human Economic Science Special Course. For the more detailed information about the course, please refer to
(Sorry! only in Japanese)
Also, feel free to contact Prof. Akama (akama_at_dp.hum.titech.ac.jp)