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Neurosalience #S3E13 with Todd Constable - Functional MRI of the individual

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Manage episode 358656454 series 2888419
OHBM에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 OHBM 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Today, my guest is Dr. Todd Constable, a Professor in the Department of Radiology and Biomedical Imaging at Yale University. He is also director of MRI Research in the Department of Diagnostic Radiology in the Yale School of Medicine.

Todd received his PhD in 1990 in Medical Physics from the University of Toronto, then moved to Yale for his post-doc and has been there ever since. While his training was in physics, he has clearly become a neuroscientist as well - having been working in fMRI since the early 90’s. He still is active in both the physics development and neuroscience applications of MRI, working on low cost MRI strategies as well as working on more insightful ways to use fMRI data for clinical use. Specifically, he has mentored some outstanding students, including Emily Finn and Monica Rosenberg, who have helped pioneer the use of fMRI for predictive modeling of individual traits. Here we talk about, among other things, about the benefits, power, and potential clinical applications of predictive modeling in fMRI. I hope you enjoy our conversation.

  continue reading

92 에피소드

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icon공유
 
Manage episode 358656454 series 2888419
OHBM에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 OHBM 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Today, my guest is Dr. Todd Constable, a Professor in the Department of Radiology and Biomedical Imaging at Yale University. He is also director of MRI Research in the Department of Diagnostic Radiology in the Yale School of Medicine.

Todd received his PhD in 1990 in Medical Physics from the University of Toronto, then moved to Yale for his post-doc and has been there ever since. While his training was in physics, he has clearly become a neuroscientist as well - having been working in fMRI since the early 90’s. He still is active in both the physics development and neuroscience applications of MRI, working on low cost MRI strategies as well as working on more insightful ways to use fMRI data for clinical use. Specifically, he has mentored some outstanding students, including Emily Finn and Monica Rosenberg, who have helped pioneer the use of fMRI for predictive modeling of individual traits. Here we talk about, among other things, about the benefits, power, and potential clinical applications of predictive modeling in fMRI. I hope you enjoy our conversation.

  continue reading

92 에피소드

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