scispace - formally typeset
Open AccessJournal ArticleDOI

Connexel visualization: a software implementation of glyphs and edge-bundling for dense connectivity data using brainGL

Reads0
Chats0
TLDR
Two approaches for presenting connexels are described, edge-bundling, which clarifies structure by grouping geometrically similar connections; and, connectivity glyphs, which depict a condensed connectivity map at each point on the cortical surface, which can be applied in the native brain space.
Abstract
The visualization of brain connectivity becomes progressively more challenging as analytic and computational advances begin to facilitate connexel-wise analyses, which include all connections between pairs of voxels. Drawing full connectivity graphs can result in depictions that, rather than illustrating connectivity patterns in more detail, obfuscate patterns owing to the data density. In an effort to expand the possibilities for visualization, we describe two approaches for presenting connexels: edge-bundling, which clarifies structure by grouping geometrically similar connections; and, connectivity glyphs, which depict a condensed connectivity map at each point on the cortical surface. These approaches can be applied in the native brain space, facilitating interpretation of the relation of connexels to brain anatomy. The tools have been implemented as part of brainGL, an extensive open-source software for the interactive exploration of structural and functional brain data.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

TL;DR: This work uses resting-state functional MRI data and connectivity clustering to identify multi-network hubs and shows that while hubs can belong to multiple networks their degree of integration into these different networks varies dynamically over time.
Journal ArticleDOI

Connectomics and new approaches for analyzing human brain functional connectivity.

TL;DR: This review describes several outstanding problems in brain functional connectomics with the goal of engaging researchers from a broad spectrum of data sciences to help solve these problems.

Three-dimensional mean-shift edge-bundling for the visualization of functional connectivity

TL;DR: To optimize the clarity of whole-brain and complex connectivity patterns in three-dimensional brain space, mean-shift edge bundling is developed, which reveals the multitude of connections as derived from correlations in the brain activity of cortical regions.
Journal ArticleDOI

Subdivision of Broca's region based on individual-level functional connectivity.

TL;DR: The current study provides a reliable method for individual‐level cortical parcellation that could be applied to regions distinguishable by even the most subtle differences in patterns of functional connectivity, and produces clusters with varying degrees of spatial overlap with the manual labels.
Journal ArticleDOI

Automated individual-level parcellation of Broca's region based on functional connectivity

TL;DR: While the current study focuses on Broca's region, the method is adaptable to parcellate other cortical regions with distinct connectivity profiles, and can be applied to resting‐state fMRI datasets with varying acquisition and preprocessing parameters.
References
More filters
Journal ArticleDOI

AFNI: software for analysis and visualization of functional magnetic resonance neuroimages

TL;DR: A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.
Journal ArticleDOI

Complex brain networks: graph theoretical analysis of structural and functional systems

TL;DR: This article reviews studies investigating complex brain networks in diverse experimental modalities and provides an accessible introduction to the basic principles of graph theory and highlights the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
Journal ArticleDOI

Cortical surface-based analysis. I. Segmentation and surface reconstruction

TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
Journal ArticleDOI

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Journal ArticleDOI

Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System

TL;DR: A set of procedures for modifying the representation of the cortical surface to inflate it so that activity buried inside sulci may be visualized, cut and flatten an entire hemisphere, and transform a hemisphere into a simple parameterizable surface such as a sphere for the purpose of establishing a surface-based coordinate system are designed.
Related Papers (5)