Open AccessA Survey of Macroscopic Brain Network Visualization Technology
Author(s) -
Chen Weifeng,
Shi Lei,
Chen Wei
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.04.007
Subject(s) - connectomics , visualization , connectome , computer science , aka , neuroscience , information visualization , brain function , visual analytics , data science , human–computer interaction , artificial intelligence , functional connectivity , psychology , library science
Brain science, as an important branch of Neuroscience, is a discipline that studies the structure and function of brain nervous system of human and other mammals. With the invention of new technologies such as brain imaging, light microscopes and brain electromagnetics, brain science is gradually unraveling the mysteries of human emotion, intelligence and behavior. In this wave, data visualization punctuates the landmark advances in brain science since its beginning. This survey reviews the recent literature on brain network visualization (aka connectome) from the fields of both connectomics and visualization. In particular, we focus on the macroscopic‐level brain network visualization techniques, that reveal the structural and functional connectivity of the whole brain, in comparison to microsopic‐level neuronal connectivities. We also discuss the interactive visualization tools currently available for viewing the brain networks. Finally, we conclude with a number of ongoing challenges in macroscopic brain network visualization.