PPT-Spatial preprocessing of fMRI data

Methods amp models for fMRI data analysis in neuroeconomics 17 April 2010 Klaas Enno Stephan Laboratory for Social and Neural Systrems Research Institute for Empirical Research in Economics. : . Coregistration. and Spatial Normalisation. Cassy . Fiford. and . Demis. Kia. Methods for Dummies 2014. With thanks to Gabriel Ziegler. 1. . Preprocessing. Recap. 2. . Coregistration. 3. Spatial Normalisation. Methods & models for fMRI data analysis. November . 2013. With many thanks for slides & images to:. FIL Methods group, . particularly . Rik Henson and Christian Ruff. Klaas Enno Stephan . Translational . Ged Ridgway, FMRIB/FIL. With thanks to John Ashburner. a. nd the FIL Methods Group. Preprocessing overview. fMRI. time-series. Motion corrected. Mean functional. REALIGN. COREG. Anatomical MRI. SEGMENT. Group 25: Jeff Daniels, Amy Mirro, Caroline Farrington. Client: Dr. Dosenbach. Background and Need. Resting state fMRI functional connectivity. Sleep effects on fMRI data. Why is this important?. Updated Scope. Realigning and unwarping. Methods for Dummies. Sebastian Bobadilla. Charlie Harrison. Contents. Pre-processing in fMRI. Motion . in fMRI. Motion . prevention. Motion . correction. Realignment . Registration. Yingying Wang. 7/15/2014 Tuesday. http://neurobrain.net/2014STBCH/index.html. . QUIZ. For MRI, which element within the body is most important?. Oxygen. Carbon. Hydrogen. An MRI system uses an Radio Frequency (RF) pulse to change the:. data . Edward Park. SAC in MATLAB. Digital Globe inc.. Introduction. 1.1 Objective. Objective: . To do the . accuracy assessment. of various classification of raster pixels. . Why?. The . ultimate goal of Geographic Information System (GIS) is to model our world. However, the modeling process is too complicated and requires elaborateness that we should not rely entirely on computer. . Ged Ridgway, London. With thanks to John Ashburner. a. nd the FIL Methods Group. Preprocessing overview. fMRI. time-series. Motion corrected. Mean functional. REALIGN. COREG. Anatomical MRI. SEGMENT. 严超赣. Chao-Gan Yan, Ph.D.. yancg@psych.ac.cn. http://. rfmri.org. /. yan. Institute of Psychology, Chinese Academy of Sciences. DPARSF. (Yan and Zang, 2010). 2. Data Processing Assistant for Resting-State fMRI (DPARSF). Ged Ridgway, London. With thanks to John Ashburner. a. nd the FIL Methods Group. fMRI time-series . m. ovie. Preprocessing overview. REALIGN. COREG. SEGMENT. NORM WRITE. SMOOTH. ANALYSIS. Preprocessing overview. Learning Objectives. Be . able to describe when and why image corrections are appropriate or . necessary. Give . examples of some common approaches to image . correction. Understand the processing steps of Landsat data. 5 paradigm (or protocol): the set of conditions and their order used in a particular run Time volume #1(time = 0)volume #105(time = 105 volx 2 sec/vol= 210 sec = 3:30) epoch: one instance of a conditi Filippo Queirazza. Background. Around half of patients presenting with EP will develop depressive symptoms.. Similarly, negative symptoms are highly prevalent (i.e. 51%) in EP and often run a chronic course. . DTI scan ( 5min 10sec ). needle in. manipulate 1min. . fMRI scan ( 8min 10sec ). needle out. T1 scan ( 4min 10sec ). Supplement Figure 1. Experiment design of MRI scan and acupuncture intervention..