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課程名稱 |
腦功能影像實驗設計與分析
Functional Brain Imaging Experimental Design and Analysis |
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開課學期 |
103-1 |
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授課對象 |
神經生物與認知科學學程 |
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授課教師 |
吳恩賜 |
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課號 |
GIBMS7112 |
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課程識別碼 |
454 M0310 |
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班次 |
01 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期三5,6,7(12:20~15:10) |
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上課地點 |
基醫505 |
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備註 |
與曾凱元、曾文毅、曾明宗合開
限碩士班以上 或 限本系所學生(含輔系、雙修生)
總人數上限：30人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1031GIBMS7112 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This course will provide theoretical and practical training on functional magnetic resonance imaging (fMRI) experimental design, data preprocessing, and analysis. The main fMRI data analysis programs used in this course will be Statistical Parametric Mapping 8 (SPM8) running on Matlab and FMRIB Software Library (FSL). Other tools will be introduced as needed. Positron Emission Tomography (PET) imaging will also be introduced as another functional brain imaging tool. |
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課程目標 |
待補 |
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課程要求 |
Students will be given a sample fMRI dataset to analyze and submit a research report based on their analysis. The report must be in a standard research manuscript format consisting of a title, abstract, introduction with background and hypothesis, methods, results, discussion, and references. The report must be in English, APA format, Times New Roman font, 12 pt font size, double-spaced, and no more than 30 pages. The report is due 1 week after the last class by 1700hrs. |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
Functional Magnetic Resonance Imaging, Second Edition (2004) by Scott A. Huettel, Allen W. Song, Gregory McCarthy, Sinauer Associates, Sunderland, MA, USA. |
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參考書目 |
待補 |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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Week 1 |
9/17 |
Software Preparation; Basic Scripting |
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Week 2 |
9/24 |
Basic MR Physics |
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Week 3 |
10/01 |
fMRI Principles of Measuring Neural Activity |
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Week 4 |
10/08 |
fMRI Principles of Experimental Design |
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Week 5 |
10/15 |
Presenting Stimuli with E-Prime |
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Week 6 |
10/22 |
Presenting Stimuli with Presentation |
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Week 7 |
10/29 |
Visit to Skyra/Trio |
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Week 8 |
11/05 |
fMRI Data Preprocessing: Correcting Artefacts |
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Week 9 |
11/12 |
fMRI Data Preprocessing: Normalization |
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Week 10 |
11/19 |
fMRI Data Preprocessing with FSL |
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Week 11 |
11/26 |
Probability, t-test, ANOVA |
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Week 12 |
12/03 |
Multiple Regression |
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Week 13 |
12/10 |
fMRI Data First-level Statistical Analysis |
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Week 14 |
12/17 |
fMRI Data Analysis: Higher-level Analysis |
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Week 15 |
12/24 |
Regions-Of-Interest Analysis |
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Week 16 |
12/31 |
PET Imaging |
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Week 17 |
1/07 |
Student Project Presentations |
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