Integrated visualization of human brain connectome data

Huang Li, Shiaofen Fang, Joaquin Goni, Joey A. Contreras, Yanhua Liang, Chengtao Cai, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew Saykin, Li Shen, ADNI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Visualization plays a vital role in the analysis of multi-modal neuroimaging data. A major challenge in neuroimaging visualization is how to integrate structural, functional and connectivity data to form a comprehensive visual context for data exploration, quality control, and hypothesis discovery. We develop a new integrated visualization solution for brain imaging data by combining scientific and information visualization techniques within the context of the same anatomic structure. New surface texture techniques are developed to map non-spatial attributes onto the brain surfaces from MRI scans. Two types of non-spatial information are represented: (1) time-series data from resting-state functional MRI measuring brain activation; (2) network properties derived from structural connectivity data for different groups of subjects, which may help guide the detection of differentiation features. Through visual exploration, this integrated solution can help identify brain regions with highly correlated functional activations as well as their activation patterns. Visual detection of differentiation features can also potentially discover image based phenotypic biomarkers for brain diseases.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages295-305
Number of pages11
Volume9250
ISBN (Print)9783319233437
DOIs
StatePublished - 2015
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: Aug 30 2015Sep 2 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Brain Informatics and Health, BIH 2015
CountryUnited Kingdom
CityLondon
Period8/30/159/2/15

Fingerprint

Brain
Visualization
Neuroimaging
Activation
Chemical activation
Connectivity
Scientific Visualization
Surface Texture
Information Visualization
Biomarkers
Quality Control
Time Series Data
Quality control
Time series
Textures
Attribute
Integrate
Imaging
Human
Imaging techniques

Keywords

  • Brain connectome
  • DTI
  • FMRI
  • MRI
  • Visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Li, H., Fang, S., Goni, J., Contreras, J. A., Liang, Y., Cai, C., ... ADNI (2015). Integrated visualization of human brain connectome data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9250, pp. 295-305). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9250). Springer Verlag. https://doi.org/10.1007/978-3-319-23344-4_29

Integrated visualization of human brain connectome data. / Li, Huang; Fang, Shiaofen; Goni, Joaquin; Contreras, Joey A.; Liang, Yanhua; Cai, Chengtao; West, John D.; Risacher, Shannon L.; Wang, Yang; Sporns, Olaf; Saykin, Andrew; Shen, Li; ADNI.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9250 Springer Verlag, 2015. p. 295-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9250).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, H, Fang, S, Goni, J, Contreras, JA, Liang, Y, Cai, C, West, JD, Risacher, SL, Wang, Y, Sporns, O, Saykin, A, Shen, L & ADNI 2015, Integrated visualization of human brain connectome data. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9250, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9250, Springer Verlag, pp. 295-305, 8th International Conference on Brain Informatics and Health, BIH 2015, London, United Kingdom, 8/30/15. https://doi.org/10.1007/978-3-319-23344-4_29
Li H, Fang S, Goni J, Contreras JA, Liang Y, Cai C et al. Integrated visualization of human brain connectome data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9250. Springer Verlag. 2015. p. 295-305. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-23344-4_29
Li, Huang ; Fang, Shiaofen ; Goni, Joaquin ; Contreras, Joey A. ; Liang, Yanhua ; Cai, Chengtao ; West, John D. ; Risacher, Shannon L. ; Wang, Yang ; Sporns, Olaf ; Saykin, Andrew ; Shen, Li ; ADNI. / Integrated visualization of human brain connectome data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9250 Springer Verlag, 2015. pp. 295-305 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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