The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research

Journal article

Goscinski, Wojtek J., McIntosh, Paul, Felzmann, Ulrich, Maksimenko, Anton, Hall, Christopher J., Gureyev, Timur, Thompson, Darren, Janke, Andrew, Galloway, Graham, Killeen, Neil E. B., Raniga, Parnesh, Kaluza, Owen, Ng, Amanda, Poudel, Govinda, Barnes, David G., Nguyen, Toan, Bonnington, Paul and Egan, Gary F.. (2014). The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research. Frontiers in Neuroinformatics. 8(March), pp. 1 - 13. https://doi.org/10.3389/fninf.2014.00030
AuthorsGoscinski, Wojtek J., McIntosh, Paul, Felzmann, Ulrich, Maksimenko, Anton, Hall, Christopher J., Gureyev, Timur, Thompson, Darren, Janke, Andrew, Galloway, Graham, Killeen, Neil E. B., Raniga, Parnesh, Kaluza, Owen, Ng, Amanda, Poudel, Govinda, Barnes, David G., Nguyen, Toan, Bonnington, Paul and Egan, Gary F.
Abstract

The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is a national imaging and visualization facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organization (CSIRO), and the Victorian Partnership for Advanced Computing (VPAC), with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software, and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI), x-ray computer tomography (CT), electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i) integrated multiple different neuroimaging analysis software components, (ii) enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii) brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research.

Keywordsneuroinformatics infrastructure; high performance computing; instrument integration; CT reconstruction; cloudcomputing; Huntington’s disease; Quantitative susceptibility mapping; digital atlasing
Year2014
JournalFrontiers in Neuroinformatics
Journal citation8 (March), pp. 1 - 13
PublisherFrontiers Research Foundation
ISSN1662-5196
Digital Object Identifier (DOI)https://doi.org/10.3389/fninf.2014.00030
Scopus EID2-s2.0-84897087693
Open accessOpen access
Page range1 - 13
Research GroupMary MacKillop Institute for Health Research
Publisher's version
License
Place of publicationSwitzerland
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Comparison of beamformers for EEG source signal reconstruction
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Source-space ICA for EEG source separation, localization, and time-course reconstruction
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie and Jones, Richard. (2014). Source-space ICA for EEG source separation, localization, and time-course reconstruction. NeuroImage. 101(November), pp. 720 - 737. https://doi.org/10.1016/j.neuroimage.2014.07.052
Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Stout, Julie C., Domínguez, Juan F., Carron, Sarah P., Ando, Ayaka, Churchyard, Andrew, Chua, Phyllis, Bohanna, India, Dymowski, Alicia R., Poudel, Govinda and Egan, Gary F.. (2014). Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study. Human Brain Mapping. 35(5), pp. 1847 - 1864. https://doi.org/10.1002/hbm.22296
Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie and Jones, Richard. (2014). Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG. Australasian Physical and Engineering Sciences in Medicine. 37(2), pp. 457 - 464. https://doi.org/10.1007/s13246-014-0265-x
Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Domínguez D, Juan F., Egan, Gary F., Gray, Marcus A., Poudel, Govinda R., Churchyard, Andrew, Chua, Phyllis, Stout, Julie C. and Georgiou-Karistianis, Nellie. (2013). Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. PLoS ONE. 8(9), pp. 1-10. https://doi.org/10.1371/journal.pone.0074131
Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Poudel, Govinda R., Domínguez D, Juan F., Langmaid, Rebecca, Gray, Marcus A., Churchyard, Andrew, Chua, Phyllis, Borowsky, Beth, Egan, Gary F. and Stout, Julie C.. (2013). Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. Brain and Cognition. 83(1), pp. 80-91. https://doi.org/10.1016/j.bandc.2013.07.004
Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction
Innes, Carrie R. H., Poudel, Govinda R. and Jones, Richard D.. (2013). Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction. Chronobiology International. 30(9), pp. 1187-1196. https://doi.org/10.3109/07420528.2013.810222
Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2013). Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction. NeuroImage. 77, pp. 105-113. https://doi.org/10.1016/j.neuroimage.2013.03.054
Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps
J Toppi, L Astolfi, GR Poudel, F Babiloni, L Macchiusi, D Mattia, S Salinari and RD Jones. (2012). Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. pp. 4708-4711 https://doi.org/10.1109/EMBC.2012.6347018
Performance of Beamformers on EEG Source Reconstruction
Yaqub Jon Mohamadi, Govinda Poudel, Carrie R H Innes and Richard Jones. (2012). Performance of Beamformers on EEG Source Reconstruction. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2012.6346476
Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2012). Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction. Sleep. 35(8), pp. 1085-1096. https://doi.org/10.5665/sleep.1994