Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity

Journal Article · Mon May 09 00:00:00 EDT 2016 · IEEE/ACM Transactions on Computational Biology and Bioinformatics

DOI:https://doi.org/10.1109/TCBB.2016.2564970· OSTI ID:1379660

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

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

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

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 1379660
• Journal Information: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, Issue 4; ISSN 1545-5963
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

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