Projects:ConnectivityAtlas - Revision history

Andysweet: /* Description */

2011-10-28T17:52:23Z

Description

Langs: /* Publications */

2011-03-30T23:16:01Z

Publications

Langs: /* Publications */

2011-03-30T23:15:35Z

Publications

Langs at 22:53, 30 March 2011

2011-03-30T22:53:29Z

Langs: /* Publications */

2011-03-30T22:53:03Z

Publications

Langs: /* Publications */

2011-03-30T22:52:38Z

Publications

Langs at 22:52, 30 March 2011

2011-03-30T22:52:11Z

Langs at 22:32, 30 March 2011

2011-03-30T22:32:06Z

Langs: /* Description */

2011-03-30T22:07:19Z

Description

Langs: /* Description */

2011-03-30T22:07:04Z

Description

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 = Description =
-We propose a different approach to characterize functional networks in a population of individuals. We do not assume a tight coupling between anatomical location and function, but view functional signals as the basis of a descriptive map that represents the global connectivity pattern during a specific cognitive process. We develop a representation of those networks based on manifold learning techniques and show how we can learn an \emph{atlas} from a population of subjects performing the same task. Our main assumption is that the connectivity pattern associated with a functional process is consistent across individuals. Accordingly, we construct a generative model (the atlas) for these connectivity patterns that describes the common structures within the population.
+We propose a different approach to characterize functional networks in a population of individuals. We do not assume a tight coupling between anatomical location and function, but view functional signals as the basis of a descriptive map that represents the global connectivity pattern during a specific cognitive process. We develop a representation of those networks based on manifold learning techniques and show how we can learn an <em>atlas</em> from a population of subjects performing the same task. Our main assumption is that the connectivity pattern associated with a functional process is consistent across individuals. Accordingly, we construct a generative model (the atlas) for these connectivity patterns that describes the common structures within the population.
 The clinical goal of this work is to provide additional evidence for localization of functional areas. A robust localization approach is important for neurosurgical planning if individual activations are weak or reorganization has happened due to pathologies such as tumor growth. Furthermore the method provides a basis for understanding the mechanisms underlying formation and reorganization in the cerebral system.

← Older revision		Revision as of 23:16, 30 March 2011
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	= Publications =		= Publications =

−	[http://www.na-mic.org/publications/pages/display?search=Projects%~~3AProjects:ConnectivityAtlas~~&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Atlas of Functional Connectivity]	+	[http://www.na-mic.org/publications/pages/display?search=Projects%3AConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Atlas of Functional Connectivity]

← Older revision		Revision as of 23:15, 30 March 2011
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	= Publications =		= Publications =
−
−	~~[1] Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Functional Geometry Alignment and Localization of Brain Areas. in Adv. in Neural Information Processing Systems NIPS 2010~~
−
−	~~[2] Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Learning an Atlas of a Cognitive Process in its Functional Geometry. in Proc. of IPMI 2011~~

	[http://www.na-mic.org/publications/pages/display?search=Projects%3AProjects:ConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Atlas of Functional Connectivity]		[http://www.na-mic.org/publications/pages/display?search=Projects%3AProjects:ConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Atlas of Functional Connectivity]

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 We learn an atlas of the functional connectivity structure that emerges during a cognitive process from a group of individuals. The atlas is a group-wise generative model that describes the fMRI responses of all subjects in the embedding space. The embedding space is a low dimensional representation of fMRI time courses that encodes the functional connectivity patterns within each subject. Future work will focus on the application of the framework to the study of reorganization processes.
 = Key Investigators =
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 *MIT: Georg Langs, Andy Sweet, Danial Lashkari, Polina Golland
 *Harvard: Yanmei Tie, Laura Rigolo, Alexandra Golby
 = Publications =

← Older revision		Revision as of 22:53, 30 March 2011
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	[2] Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Learning an Atlas of a Cognitive Process in its Functional Geometry. in Proc. of IPMI 2011		[2] Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Learning an Atlas of a Cognitive Process in its Functional Geometry. in Proc. of IPMI 2011

−	[http://www.na-mic.org/publications/pages/display?search=Projects%3AProjects:ConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Connectivity ~~Atlas~~]	+	[http://www.na-mic.org/publications/pages/display?search=Projects%3AProjects:ConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Atlas of Functional Connectivity]

← Older revision		Revision as of 22:52, 30 March 2011
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	[2] Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Learning an Atlas of a Cognitive Process in its Functional Geometry. in Proc. of IPMI 2011		[2] Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland. Learning an Atlas of a Cognitive Process in its Functional Geometry. in Proc. of IPMI 2011

−	[http://www.na-mic.org/publications/pages/display?search=Projects%~~3AConnectivityAtlas~~&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on ~~Nonparametric Models for Supervised Image Segmentation~~]	+	[http://www.na-mic.org/publications/pages/display?search=Projects%3AProjects:ConnectivityAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database on Connectivity Atlas]

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 [[File:ModelScheme_revision_2.png]]
-'''''Fig.1''' An overview of the approach.''
+'''''Fig.1''' Overview of the approach.''
 == Experiments ==

← Older revision		Revision as of 22:07, 30 March 2011
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	[[File:ModelScheme_revision_2.png]]		[[File:ModelScheme_revision_2.png]]

		+	'''''Fig.1''' An overview of the approach.''

	== Experiments ==		== Experiments ==