NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex

Pastor, Luis; Mata, Susana; Toharia, Pablo; Bayona, Sofía; Brito, Juan P.; García-Cantero, Juan José

doi:10.2312/ceig.20151208

Cited by 3 publications

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“…Our approach has similar components, but our workflow is completely different, since our main goal is the visual comparison of the extracted data from multiple patients. Pastor et al [16] also explore morphological data, but they concentrate on a multi-scale scheme for the 3D data. Preim et al [17] present several techniques for multiple patient data inspection.…”

Section: Several Visualization Techniques Have Addressed This Problemmentioning

confidence: 99%

Interactive framework for the visual exploration of colonic data

Males

Monclús

Iriberri

et al. 2020

Computers & Graphics

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Section: Several Visualization Techniques Have Addressed This Problemmentioning

confidence: 99%

Interactive framework for the visual exploration of colonic data

Males

Monclús

Iriberri

et al. 2020

Computers & Graphics

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ViSimpl: Multi-View Visual Analysis of Brain Simulation Data

Galindo

Toharia

Robles

et al. 2016

Front. Neuroinform.

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After decades of independent morphological and functional brain research, a key point in neuroscience nowadays is to understand the combined relationships between the structure of the brain and its components and their dynamics on multiple scales, ranging from circuits of neurons at micro or mesoscale to brain regions at macroscale. With such a goal in mind, there is a vast amount of research focusing on modeling and simulating activity within neuronal structures, and these simulations generate large and complex datasets which have to be analyzed in order to gain the desired insight. In such context, this paper presents ViSimpl, which integrates a set of visualization and interaction tools that provide a semantic view of brain data with the aim of improving its analysis procedures. ViSimpl provides 3D particle-based rendering that allows visualizing simulation data with their associated spatial and temporal information, enhancing the knowledge extraction process. It also provides abstract representations of the time-varying magnitudes supporting different data aggregation and disaggregation operations and giving also focus and context clues. In addition, ViSimpl tools provide synchronized playback control of the simulation being analyzed. Finally, ViSimpl allows performing selection and filtering operations relying on an application called NeuroScheme. All these views are loosely coupled and can be used independently, but they can also work together as linked views, both in centralized and distributed computing environments, enhancing the data exploration and analysis procedures.

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A Unified Framework for Neuroscience Morphological Data Visualization

et al. 2021

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The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.

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NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex

Cited by 3 publications

References 0 publications

Interactive framework for the visual exploration of colonic data

Interactive framework for the visual exploration of colonic data

ViSimpl: Multi-View Visual Analysis of Brain Simulation Data

A Unified Framework for Neuroscience Morphological Data Visualization

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