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  Task-Related Edge Density (TED): A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain

Lohmann, G. (2018). Task-Related Edge Density (TED): A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain. Talk presented at Symposium on Cortico-Cortical Connectivity: From Structure to Dynamic Networks and Control of Behavior. Tübingen, Germany. 2018-03-22.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-96BA-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-96BB-3
Genre: Talk

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Lohmann, G1, 2, Author           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In this talk, I will present a new data analysis algorithm that is designed to identify time series of voxels in an fMRI image that collectively synchronize in response to a task. At the heart of our approach is the concept of spatially localized and task-induced edge density motivating us to call this algorithm "TED" (Task-induced Edge Density). In short, TED identifies edges in a brain network that differentially respond in unison to a task onset and that occur in dense packs of edges with similar characteristics. We show first results of TED applied to fMRI data acquired at 9.4 Tesla which revealed widespread task-related brain activation that evaded detection using traditional approaches.

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 Dates: 2018-03-22
 Publication Status: Issued
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Title: Symposium on Cortico-Cortical Connectivity: From Structure to Dynamic Networks and Control of Behavior
Place of Event: Tübingen, Germany
Start-/End Date: 2018-03-22
Invited: Yes

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