NIH VideoCast - Individual subject classification/prediction from brain imaging data

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Individual subject classification/prediction from brain imaging data

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Air date:	Friday, December 5, 2014, 10:00:00 AM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 197 (40 Live, 157 On-demand)
Category:	Special
Runtime:	01:05:06
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	FMRI Lecture Series The use of brain imaging data to provide individualized information about a given individual has great potential, and is gaining traction as the field is becoming more comfortable with machine learning approaches. In this talk I will present some of the work we have been doing in this regard in the context of trying to both evaluate the utility of fMRI (e.g. static and dynamic whole brain connectivity) and multimodal imaging markers for identifying existing categories of mental illness and for predicting future outcomes, as well as work in trying to utilize brain imaging data to potentially help refine clinical categories. I will also touch on some of the many challenges we still face and present some possible ways forward.

NLM Title:	Individual subject classification/prediction from brain imaging data / Dr. Vince Calhoun.
Author:	Calhoun, Vince. National Institutes of Health (U.S.),
Publisher:
Abstract:	(CIT): FMRI Lecture Series The use of brain imaging data to provide individualized information about a given individual has great potential, and is gaining traction as the field is becoming more comfortable with machine learning approaches. In this talk I will present some of the work we have been doing in this regard in the context of trying to both evaluate the utility of fMRI (e.g. static and dynamic whole brain connectivity) and multimodal imaging markers for identifying existing categories of mental illness and for predicting future outcomes, as well as work in trying to utilize brain imaging data to potentially help refine clinical categories. I will also touch on some of the many challenges we still face and present some possible ways forward.
Subjects:	Bias Functional Neuroimaging Mental Disorders--classification Mental Disorders--diagnosis
Publication Types:	Lecture Webcast

NLM Classification:	WL 141.5.N47
NLM ID:	101649918
CIT Live ID:	15327
Permanent link:	https://videocast.nih.gov/watch=15327

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