Literature DB >> 28113724

Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity.

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

Abstract

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. To demonstrate the utility of our tool, we present two case studies-exploring progressive supranuclear palsy, as well as memory encoding and retrieval.

Entities:  

Year:  2016        PMID: 28113724      PMCID: PMC5585064          DOI: 10.1109/TCBB.2016.2564970

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  49 in total

1.  ProViz: protein interaction visualization and exploration.

Authors:  Florian Iragne; Macha Nikolski; Bertrand Mathieu; David Auber; David Sherman
Journal:  Bioinformatics       Date:  2004-09-03       Impact factor: 6.937

Review 2.  From simple graphs to the connectome: networks in neuroimaging.

Authors:  Olaf Sporns
Journal:  Neuroimage       Date:  2011-09-10       Impact factor: 6.556

3.  Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis.

Authors:  Rainer Goebel; Fabrizio Esposito; Elia Formisano
Journal:  Hum Brain Mapp       Date:  2006-05       Impact factor: 5.038

4.  The maturing architecture of the brain's default network.

Authors:  Damien A Fair; Alexander L Cohen; Nico U F Dosenbach; Jessica A Church; Francis M Miezin; Deanna M Barch; Marcus E Raichle; Steven E Petersen; Bradley L Schlaggar
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-05       Impact factor: 11.205

5.  Complex network measures of brain connectivity: uses and interpretations.

Authors:  Mikail Rubinov; Olaf Sporns
Journal:  Neuroimage       Date:  2009-10-09       Impact factor: 6.556

Review 6.  Progressive supranuclear palsy.

Authors:  Lawrence I Golbe
Journal:  Semin Neurol       Date:  2014-06-25       Impact factor: 3.420

7.  The 'subcortical dementia' of progressive supranuclear palsy.

Authors:  M L Albert; R G Feldman; A L Willis
Journal:  J Neurol Neurosurg Psychiatry       Date:  1974-02       Impact factor: 10.154

8.  The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

Authors:  Stephan Gerhard; Alessandro Daducci; Alia Lemkaddem; Reto Meuli; Jean-Philippe Thiran; Patric Hagmann
Journal:  Front Neuroinform       Date:  2011-06-06       Impact factor: 4.081

9.  The Connectome Visualization Utility: software for visualization of human brain networks.

Authors:  Roan A LaPlante; Linda Douw; Wei Tang; Steven M Stufflebeam
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

10.  A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs.

Authors:  Sophie Achard; Raymond Salvador; Brandon Whitcher; John Suckling; Ed Bullmore
Journal:  J Neurosci       Date:  2006-01-04       Impact factor: 6.167

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  2 in total

1.  Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions.

Authors:  Sugeerth Murugesan; Kristofer Bouchard; Edward Chang; Max Dougherty; Bernd Hamann; Gunther H Weber
Journal:  BMC Bioinformatics       Date:  2017-06-06       Impact factor: 3.169

Review 2.  A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging.

Authors:  Michael de Ridder; Karsten Klein; Jinman Kim
Journal:  Brain Inform       Date:  2018-07-03
  2 in total

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