Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity

Murugesan, Sugeerth; Bouchard, Kristopher; Brown, Jesse A.; Hamann, Bernd; Seeley, William W.; Trujillo, Andrew; Weber, Gunther H.

doi:10.1109/TCBB.2016.2564970

Title: Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity

Abstract

Here, we present Brain Modulyzer, an interactive visual exploration tool for functional magnetic resonance imaging (fMRI) brain scans, aimed at analyzing the correlation between different brain regions when resting or when performing mental tasks. Brain Modulyzer combines multiple coordinated views—such as heat maps, node link diagrams, and anatomical views—using brushing and linking to provide an anatomical context for brain connectivity data. Integrating methods from graph theory and analysis, e.g., community detection and derived graph measures, makes it possible to explore the modular and hierarchical organization of functional brain networks. Providing immediate feedback by displaying analysis results instantaneously while changing parameters gives neuroscientists a powerful means to comprehend complex brain structure more effectively and efficiently and supports forming hypotheses that can then be validated via statistical analysis. In order to demonstrate the utility of our tool, we also present two case studies—exploring progressive supranuclear palsy, as well as memory encoding and retrieval

Authors:

^[1]; Bouchard, Kristopher ^[2]; Brown, Jesse A. ^[3]; Hamann, Bernd ^[4]; Seeley, William W. ^[3]; Trujillo, Andrew ^[3]; Weber, Gunther H. ^[1]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division; Univ. of California, Davis, CA (United States). Dept. of Computer Science
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
Univ. of California, San Francisco, CA (United States). Memory and Aging Center
Univ. of California, Davis, CA (United States). Dept. of Computer Science

Publication Date:: Mon May 09 00:00:00 EDT 2016

Research Org.:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

OSTI Identifier:: 1379660

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Accepted Manuscript

Journal Name:: IEEE/ACM Transactions on Computational Biology and Bioinformatics

Additional Journal Information:: Journal Volume: 14; Journal Issue: 4; Journal ID: ISSN 1545-5963

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; graph visualization; neutroinformatics; cluster analysis; linked views; brain imaging; functional magnetic resonance imaging (fMRI)

Citation Formats


                    Murugesan, Sugeerth, Bouchard, Kristopher, Brown, Jesse A., Hamann, Bernd, Seeley, William W., Trujillo, Andrew, and Weber, Gunther H. Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity.  United States: N. p., 2016. 
Web.  doi:10.1109/TCBB.2016.2564970.

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                    Murugesan, Sugeerth, Bouchard, Kristopher, Brown, Jesse A., Hamann, Bernd, Seeley, William W., Trujillo, Andrew, & Weber, Gunther H. Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity.  United States.  https://doi.org/10.1109/TCBB.2016.2564970

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                    Murugesan, Sugeerth, Bouchard, Kristopher, Brown, Jesse A., Hamann, Bernd, Seeley, William W., Trujillo, Andrew, and Weber, Gunther H. Mon .  
"Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity".  United States.  https://doi.org/10.1109/TCBB.2016.2564970.  https://www.osti.gov/servlets/purl/1379660.

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@article{osti_1379660,

  title        = {Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity},

  author       = {Murugesan, Sugeerth and Bouchard, Kristopher and Brown, Jesse A. and Hamann, Bernd and Seeley, William W. and Trujillo, Andrew and Weber, Gunther H.},

  abstractNote = {Here, we present Brain Modulyzer, an interactive visual exploration tool for functional magnetic resonance imaging (fMRI) brain scans, aimed at analyzing the correlation between different brain regions when resting or when performing mental tasks. Brain Modulyzer combines multiple coordinated views—such as heat maps, node link diagrams, and anatomical views—using brushing and linking to provide an anatomical context for brain connectivity data. Integrating methods from graph theory and analysis, e.g., community detection and derived graph measures, makes it possible to explore the modular and hierarchical organization of functional brain networks. Providing immediate feedback by displaying analysis results instantaneously while changing parameters gives neuroscientists a powerful means to comprehend complex brain structure more effectively and efficiently and supports forming hypotheses that can then be validated via statistical analysis. In order to demonstrate the utility of our tool, we also present two case studies—exploring progressive supranuclear palsy, as well as memory encoding and retrieval},

  doi          = {10.1109/TCBB.2016.2564970},

  journal      = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},

  number       = 4,

  volume       = 14,

  place        = {United States},

  year         = {Mon May 09 00:00:00 EDT 2016},

  month        = {Mon May 09 00:00:00 EDT 2016}

}

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Title: Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity

Abstract

Citation Formats

A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging journal, July 2018

A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging
journal, July 2018