PPT-Spatio-Temporal Models for Mental Processes from fMRI

Raghu Machiraju Firdaus Janoos Fellow Harvard Medical Istavan Pisti Morocz Instuctor Harvard Medical Premise Understanding the mind not only requires a comprehension of the workings of lowlevel neural networks but also demands a detailed map of the brains functional architecture and a description of the largescale connections between populations of neurons and insights into how relations between these simpler networks give rise to higherlevel thought. Spatio-Temporal Uncertain (Social) Networks. . Chanhyun Kang. Computer Science Dept.. University of Maryland, USA. chanhyun@cs.umd.edu. Andrea Pugliese. DEIS Dept.. University of Calabria, Italy. apugliese@deis.unical.it. Space - Time Volumes. Fuzzy Volume Algebra. Institute . of Computer Science . Foundation for Research and Technology - Hellas. Manos Papadakis. January 2015. Exploring the Past (1/5). Past is a collection of . Haijiang Zhang. University of Science and Technology of China. Outline. Seismic tomography between different time periods. Repeating earthquakes. Coda wave . interferometry. Ambient noise. Different ray distribution on velocity models. Realigning and unwarping. Methods for Dummies. Sebastian Bobadilla. Charlie Harrison. Contents. Pre-processing in fMRI. Motion . in fMRI. Motion . prevention. Motion . correction. Realignment . Registration. Ovidiu P. â. rvu. , PhD student. Department of . Computer Science. Supervisors: Professors . David Gilbert. and . Nigel Saunders. Why?. 2. Predicted. behaviour. Simulations. Natural. biosystem. Computational. 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. 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). . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 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). (. microT. Study). Genevieve Dunton, Stephen . Intille. , Alex Rothman, . Don . Hedeker. , Adam Leventhal, Susan Redline. Behavioral . Problems: . Physical Inactivity, Sitting, Poor Sleep. Goal. : Assess differences in the micro-temporal processes underlying the adoption versus maintenance of . Erekle Shishniashvili. Seminar - Graph Deep Learning In Medical Imaging. Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling . Spatio. -temporal Patterns of Holistic Brain Functional Networks. Jan . Petr. MRI quick summary. Spin property of hydrogen atoms. Using strong B. 0. magnetic field. 1.5 T, 3T – clinical scanners. 7T – experimental scanners. MRI quick summary. Imaging magnetic properties of tissue. 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.. 中央大學認知神經科學研究所. 2015 . 認知神經科學巡迴工作. 坊. FMRI. 實驗現場. 2. 3. Chouinard. , P. A., Large, M.-E., Chang, E. C., & . Goodale. , M. A. (2009. ). . NeuroImage.