Literature DB >> 26356951

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.

Ali K Al-Awami, Johanna Beyer, Hendrik Strobelt, Narayanan Kasthuri, Jeff W Lichtman, Hanspeter Pfister, Markus Hadwiger.   

Abstract

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

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Year:  2014        PMID: 26356951     DOI: 10.1109/TVCG.2014.2346312

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  8 in total

1.  RemBrain: Exploring Dynamic Biospatial Networks with Mosaic Matrices and Mirror Glyphs.

Authors:  Chihua Ma; Filippo Pellolio; Daniel A Llano; Kevin Ambrose Stebbings; Robert V Kenyon; G Elisabeta Marai
Journal:  J Imaging Sci Technol       Date:  2017-11       Impact factor: 0.400

2.  Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images.

Authors:  Saeed Boorboor; Mala Ananth; David Talmage; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-08-20       Impact factor: 4.579

Review 3.  How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Authors:  Nalini M Singh; Jordan B Harrod; Sandya Subramanian; Mitchell Robinson; Ken Chang; Suheyla Cetin-Karayumak; Adrian Vasile Dalca; Simon Eickhoff; Michael Fox; Loraine Franke; Polina Golland; Daniel Haehn; Juan Eugenio Iglesias; Lauren J O'Donnell; Yangming Ou; Yogesh Rathi; Shan H Siddiqi; Haoqi Sun; M Brandon Westover; Susan Whitfield-Gabrieli; Randy L Gollub
Journal:  Neuroinformatics       Date:  2022-03-28

4.  Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.

Authors:  Xinsong Yang; Lei Shi; Madelaine Daianu; Hanghang Tong; Qingsong Liu; Paul Thompson
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-08-05       Impact factor: 4.579

5.  A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble.

Authors:  Jay S Coggan; Corrado Calì; Daniel Keller; Marco Agus; Daniya Boges; Marwan Abdellah; Kalpana Kare; Heikki Lehväslaiho; Stefan Eilemann; Renaud Blaise Jolivet; Markus Hadwiger; Henry Markram; Felix Schürmann; Pierre J Magistretti
Journal:  Front Neurosci       Date:  2018-09-25       Impact factor: 4.677

6.  SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies.

Authors:  Sergio E Galindo; Pablo Toharia; Oscar D Robles; Luis Pastor
Journal:  Front Neuroinform       Date:  2021-12-27       Impact factor: 4.081

Review 7.  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

8.  ConGen-A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks.

Authors:  Patrick Herbers; Iago Calvo; Sandra Diaz-Pier; Oscar D Robles; Susana Mata; Pablo Toharia; Luis Pastor; Alexander Peyser; Abigail Morrison; Wouter Klijn
Journal:  Front Neuroinform       Date:  2022-01-07       Impact factor: 4.081

  8 in total

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