Paper Info
Title
Connectomics to Semantomics: Addressing the Brain's Big Data Challenge
Abstract
Can semantic corpora be coupled to dynamical simulations in such a way so as to extract new associations from the data that were hitherto unapparent? We attempt to do this within neuroscience as an application domain, by introducing the notion of the semantome and coupling it to the connectome of the human brain network. This is implemented using BrainX3, a virtual reality simulation cum data mining platform that can be used for visualization, analysis and feature extraction of neuroscience data. We use this system to explore anatomical, functional and symptomatic semantics associated to simulated neuronal activity of a healthy brain, one with stroke and one perturbed by transcranial magnetic stimulation. In particular, we find that parietal and occipital lesions in stroke affect the visual processing pathway leading to symptoms such as visual neglect, depression and photo-sensitivity seizures. Integrating semantomics with connectomics thus generates hypotheses about symptoms, functions and brain activity that supplement existing tools for diagnosis of mental illness. Our results suggest a new approach to big data with potential applications to other domains.
Year
DOI
Venue
2015
10.1016/j.procs.2015.07.278
Procedia Computer Science
Keywords
Field
DocType
Brain Connectomics,Data Mining,Virtual Reality
Neuroscience,Visual processing,Connectomics,Connectome,Visualization,Computer science,Brain activity and meditation,Human brain,Application domain,Artificial intelligence,Big data,Machine learning
Conference
Volume
ISSN
Citations 
53
1877-0509
1
PageRank 
References 
Authors
0.36
0
8
Name
Order
Citations
PageRank
Xerxes D. Arsiwalla18417.84
David Dalmazzo210.70
Riccardo Zucca37011.03
Alberto Betella48610.99
Santiago Brandi591.84
Enrique Martínez Bueno6202.99
Pedro Omedas7929.87
Paul F. M. J. Verschure8677116.64