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  Detecting functionally coherent networks in fMRI data of the human brain using replicator dynamics

Lohmann, G., & von Cramon, D. Y. (2001). Detecting functionally coherent networks in fMRI data of the human brain using replicator dynamics. In M. F. Insana, & R. M. Leahy (Eds.), Information Processing in Medical Imaging (pp. 218-224). Berlin: Springer. doi:10.1007/3-540-45729-1_23.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-2961-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-2962-1
Genre: Conference Paper

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 Creators:
Lohmann, Gabriele1, Author           
von Cramon, D. Yves1, Author           
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

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Free keywords: Independent Component Analysis; Network Member; fMRI Data Independent Component Analysis; Functional Network
 Abstract: We present a new approach to detecting functional networks in fMRI time series data. Functional networks as defined here are characterized by a tight coherence criterion where every network member is closely connected to every other member. This definition of a network closely resembles that of a clique in a graph. We propose to use replicator dynamics for detecting such networks. Our approach differs from standard clustering algorithms in that the entities that are targeted here differ from the traditional cluster concept.

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Language(s): eng - English
 Dates: 2001-06-082001
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/3-540-45729-1_23
 Degree: -

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Title: 17th International Conference, IPMI 2001
Place of Event: Davis, CA
Start-/End Date: 2001-06-18 - 2001-06-22

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Title: Information Processing in Medical Imaging
Source Genre: Proceedings
 Creator(s):
Insana, Michael F.1, Editor
Leahy, Richard M.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: XVI, 537 S. Volume / Issue: 2082 Sequence Number: - Start / End Page: 218 - 224 Identifier: ISBN: 978-3-540-45729-9
DOI: 10.1007/3-540-45729-1