Title	Robust brain structural connectivity analysis using HCP data
Creator	Zhang, Zhengwu
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-02-02T13:32
Description	The connection structure in an individual’s brain plays a fundamental role in how the mind responds to everyday tasks and life’s challenges. Modern imaging technology such as diffusion MRI (dMRI) makes it easy to peer into an individual’s brain and collect valuable data to infer the structural connectivity. The difficulty for current statistical analysis of such data is to extract precise and robust connectivity networks from the brain. In this talk, we are presenting a state-of-the-art data processing pipeline to reliably construct structural connectivity from dMRI, including streamline extraction, adaptive streamline compression, and robust connectivity matrix construction. I will also discuss some potential statistical analyses to the extracted data.
Extent	29 minutes
Subject	Mathematics; Statistics; Game theory, economics, social and behavioral sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: SAMSI
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-08-03
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0307302
URI	http://hdl.handle.net/2429/58654
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Robust brain structural connectivity analysis using HCP data Zhang, Zhengwu

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