专长领域功能性磁振造影（fmri）精品课件

Some Terminologies x: input features Eg. x = weight, height, waist line, chest circumference, age, x=Brain volume in different regions (region1, region2.region n) Dimensionality : number of features in x Eg. x = weight, height, age The dimension is 3 f(x,)x y y : output, it can be a continuous value or a discrete value (classes). Eg. continuouse values: y =age(12), Eg, classes: y=male, y=female F(x, ) : The Model which estimates the output y form the given input x features with model parameters . Examples of simple model f(x, ) Gaussian Model 2 parameters (mean and standard deviation) Linear Model 2 parameters (gradient and offset) x1(feature1) X2(feature2) Two sets of data x1(feature1) X2(feature2) Class 1 Class 2 x1(feature1) X2(feature2) Gaussian Model Class 1 Class 2 x1(feature1) X2(feature2) Class 1 Class 2 Linear Discriminative function x1(feature1) X2(feature2) But there are many possible separating lines x1(feature1) X2(feature2) Maximizing the margin Support Vector Machine Separating line x1(feature1) X2(feature2) Maximizing the margin Support Vector Machine Suppor vector Suppor vectors Separating line Functional Imaging Laboratory (FIL) 12 Queen Square, St. Johns House About 60 Researchers around the globe Different Groups MR Physics Analysis Methods (where I belong to) Language Emotion. Etc Primary Supervisor Dr.John Ashburner 職稱 Honorary Senior Lecturer 單位 The Wellcome Department of Imaging Neuroscience 專長領域 功能性磁振造影（fMRI）、神經解剖運算模型(computational Neuroamatomy) Quoted from 第一屆台灣地區認知神經科學暑期學校 Ashburner 博士目前任職於英國的 FIL，是在腦訊號處理方法學及物理學方面的主 要研究員，主要專長是計算神經解剖學。由於我們由腦造影工具所獲得的影像需要 倚賴一套適當的運算模型，來調整個別受試者的腦部不同形狀大小以獲得具代表性 的空間訊號，才能作進一步的訊號比較，而 FIL 能夠在腦訊號處理科學界不但是開 路先驅更於現在位居龍頭，Ashburner 博士所奠定的基礎功不可沒。 Secondary Supervisor: Professor Karl Friston Position: Director of Functional Imaging Laboratory Founders of SPM software package Fellow of the Royal Society Quoted from The Royal Society Professor Friston is Professor of Neuroscience and Director of the Functional Imaging Laboratory at University College London. He pioneered and developed the single most powerful technique for analysing the results of brain imaging studies, and in determining the relationships of different cortical areas to one another. 二三年搞笑諾貝爾獎（Ig Nobel ） 醫學獎得主 Navigation-related structural change in the hippocampi of taxi drivers Quoted from Sciscape 醫學獎則頒給倫敦大學學院的醫學團隊，包括Eleanor Maguire, David Gadian, Ingrid Johnsrude, Catriona Good, John Ashburner, Richard Frackowiak和Christopher Frith ，因為他們的研究顯示，倫敦計程車司機的大腦，相較於其他 市民，發育程度遠遠較高。該篇研究發表於美國Proceedings of the National Academy of Sciences 2，報告指出，倫敦計 程車司機與空間記憶相關的大腦海馬迴特別大。因為倫敦計程 司機必須背記全市詳圖，而且通過嚴苛的道路測驗。 gda730)&!YVSPMJGDAxurolifc963+(%#XUROLIFCzwtqnkheb85-*$ZWTQNKHEByvspmjgda730)&!YVSPMJGDAxurolifc963+(%#XUROLIFCzwtqnkheb852+*$ZWTQNKHEByvspmjgda741-*!YVSPMJGDAxurolifc9630)&!XUROLIFCzwtqnkheb852+(%#XTQNKHEByvspmjgda741-*$ZWTPMJGDAxurolifc9630)&!YVSPLIFCzwtqnkheb852+(%#XUROLHEByvspmjgda741-*$ZWTQNKHDAxurolifc9630)&!YVSPMJGDzwtqnkheb852+(%#XUROLIFCzvspmjgda741-*$ZWTQNKHEByvsolifc9630)&!YVSPMJGDAxurokheb852+(%#XUROLIFCzwtqnkgda741- *$ZWTQNKHEByvspmjgc9630)&!YVSPMJGDAxurolifc852+(%#XUROLIFCzwtqnkheb841-*$ZWTQNKHEByvspmjgda740)&!YVSPMJGDAxurolifc9630(%#XUROLIFCzwtqnkheb852+($ZWTQNKHEByvspmjgda741-*$YVSPMJGDAxurolifc9630)&!YUROLIFCzwtqnkheb852+(%#XUQNKHEByvspmjgda741-*$ZWTQMJGDAxurolifc9630)&!YVSPMIFCzwtqnkheb852+(%#XUROLIEByvspmjgda741-*$ZWTQNKHEAxurolifc9630)&!YVSPMJGDAwtqnkheb852+(%#XUROLIFCzwspmjgda741- *$ZWTQNKHEByvsolifc9630)&!YVSPMJGDAxurokheb852+(%#XUROLIFCzwtqnkhda741-*$ZWTQNKHEByvspmjgd9630)&!YVSPMJGDAxurolifc952+(%#XUROLIFCzwtqnkheb851-*$ZWTQNKHEByvspmjgda741)&!YVSPMJGDAxurolifc9630)%#XUROLIFCzwtqnkheb852+(%ZWTQNKHEByvspmjgda741-*$ZVSPMJGDAxurolifc9630)&!YVROLIFCzwtqnkheb852+(%#XURNKHEByvspmjgda741-*$ZWTQNJGDAxurolifc9630)&!YVSPMJFCzwtqnkheb852+(%#XUROLIFByvspmjgda741- *$ZWTQNKHEBxurolifc9630)&!YVSPMJGDAxtqnkheb852+(%#XUROLIFCzwtpmjgda741-*$ZWTQNKHEByvsplifc9630)&!YVSPMJGDAxurolheb852+(%#XUROLIFCzwtqnkda741-*$ZWTQNKHEByvsplifc9630)&!YVSPMJGDAxurolheb852+(%#XUROLIFCzwtqnkhda741-*$ZWTQNKHEByvspmjgd9630)&!YVSPMJGDAxurolifc952+(%#XUROLIFCzwtqnkheb851-*$ZWTQNKHEByvspmjgda741)&!YVSPMJGDAxurolifc9630)%#XUROLIFCzwtqnkheb852+(%#WTQNKHEByvspmjgda741- *$ZWSPMJGDAxurolifc9630)&!YVSOLIFCzwtqnkheb852+(%#XUROKHEByvspmjgda741-*$ZWTQNKGDAxurolifc9630)&!YVSPMJGCzwtqnkheb852+(%#XUROLIFCyvspmjgda741-*$ZWTQNKHEByurolifc9630)&!YVSPMJGDAxuqnkheb852+(%#XUROLIFCzwtqmjgda741-*$ZWTQNKHEByvspmifc9630)&!YVSPMJGDAxurolieb852+(%#XUROLIFCzwtqnkhea741-*$ZWTQNKHEByvspmjgda630)&!YVSPMJGDAxurolifc962+(%#XUROLIFCzwtqnkheb852-*$ZWTQNKHEByvspmjgda741- &!YVSPMJGDAxurolifc9630)&#XUROLIFCzwtqnkheb852+(%#WTQNKHEByvspmjgda741-*$ZWSPMJGDAxurolifc9630)&!YVSPLIFCzwtqnkheb852+(%#XUROLHEByvspmjgda741-*$ZWTQNKHDAxurolifc9630)&!YVSPMJGDzwtqnkheb852+(%#XUROLIFCzvspmjgda741-*$ZWTQNKHEByvrolifc9630)&!YVSPMJGDAxurnkheb852+(%#XUROLIFCzwtqnjgda741-*$ZWTQNKHEByvspmjfc9630)&!YVSPMJGDAxurolifb852+(%#XUROLIFCzwtqnkheb741-*$ZWTQNKHEByvspmjgda730)&!YVSPMJGDAxurolifc963+(%#XUROLIFCzwtqnkheb41- *$ZWTQNKHEByvspmjgda730)&!YVSPMJGDAxurolifc963+(%#XUROLIFCzwtqnkheb852+*$ZWTQNKHEByvspmjgda741-*!YVSPMJGDAxurolifc9630)&!XUROLIFCzwtqnkheb852+(%#XTQNKHEByvspmjgda741-*$ZWTPMJGDAxurolifc9630)&!YVSPLIFCzwtqnkheb852+(%#XUROLHEByvspmjgda741-*$ZWTQNKHDAxurolifc9630)&!YVSPMJGDzwtqnkheb852+(%#XUROLIFCzvspmjgda741-*$ZWTQNKHEByvrolifc9630)&!YVSPMJGDAxurokheb852+(%#XUROLIFCzwtqnkgda741- *$ZWTQNKHEByvspmjgc9630)&!YVSPMJGDAxurolifc852+(%#XUROLIFCzwtqnkheb841-*$ZWTQNKHEByvspmjgda740)&!YVSPMJGDAxurolifc9630(%#XUROLIFCzwtqnkheb852+($ZWTQNKHEByvspmjgda741-*$YVSPMJGDAxurolifc9630)&!YUROLIFCzwtqnkheb852+(%#XUQNKHEByvspmjgda741-*$ZWTQMJGDAxurolifc9630)&!YVSPMIFCzwtqnkheb852+(%#XUROLIEByvspmjgda741-*$ZWTQNKHEAxurolifc9630)&!YVSPMJCzwtqnkheb852+(%#XUROLIEByvspmjgda741- *$ZWTQNKHEAxurolifc9630)&!YVSPMJGDAwtqnkheb852+(%#XUROLIFCzwspmjgda741-*$ZWTQNKHEByvsolifc9630)&!YVSPMJGDAxurokheb852+(%#XUROLIFCzwtqnkgda741-*$ZWTQNKHEByvspmjgc9630)&!YVSPMJGDAxurolifc852+(%#XUROLIFCzwtqnkheb841-*$ZWTQNKHEByvspmjgda740)&!YVSPMJGDAxurolifc9630(%#XUROLIFCzwtqnkheb852+(%ZWTQNKHEByvspmjgda741-*$ZVSPMJGDAxurolifc9630)&!YVROLIFCzwtqnkheb852+(%#XURNKHEByvspmjgda741- *$ZWTQNJGDAxurolifc9630)&!YVSPMJFCzwtqnkheb852+(%#XUROLIFByvspmjgda741-*$ZWTQNKHEBxurolifc9630)&!YVSPMJGDAxtqnkheb852+(%#XUROLIFCzwtpmjgda741-*$ZWTQNKHEByvsplifc9630)&!YVSPMJGDAxurolheb852+(%#XUROLIFCzwtqnkhda741-*$ZWTQNKHEByvspmjgd9630)&!YVSPMJGDAxurolifc92+(%#XUROLIFCzwtqnkhda741-*$ZWTQNKHEByvspmjgd9630)&!YVSPMJGDAxurolifc952+(%#XUROLIFCzwtqnkheb851- *$ZWTQNKHEByvspmjgda741)&!YVSPMJGDAxurolifc9630)%#XUROLIFCzwtqnkheb852+(%ZWTQNKHEByvspmjgda741-*$ZVSPMJGDAxurolifc9630)&!YVROLIFCzwtqnkheb852+(%#XURNKHEByvspmjgda741-*$ZWTQNJGDAxurolifc9630)&!YVSPMJFCzwtqnkheb852+(%#XUROLIFCyvspmjgda741-*$ZWTQNKHEByurolifc9630)&!YVSPMJGDAxuqnkheb852+(%#XUROLIFCzwtqmjgda741-*$ZWTQNKHEByvspmifc930)&!YVSPMJGDAxtqnkheb852+(%#XUROLIFCzwtpmjgda7