Database-managed Grid-enabled analysis of neuroimaging data: The CNARI framework

Steven L. Small, Michael Wilde, Sarah Kenny, Michael Andric, Uri Hasson

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Functional magnetic resonance imaging (fMRI) has led to an enormous growth in the study of cognitive neuroanatomy, and combined with advances in high-field electrophysiology (and other methods), has led to a fast-growing field of human neuroscience. Technological advances in both hardware and software will lead to an ever more promising future for fMRI. We have developed a new computational framework that facilitates fMRI experimentation and analysis, and which has led to some rethinking of the nature of experimental design and analysis. The Computational Neuroscience Applications Research Infrastructure (CNARI) incorporates novel methods for maintaining, serving, and analyzing massive amounts of fMRI data. By using CNARI, it is possible to perform naturalistic, network-based, statistically valid experiments in systems neuroscience on a very large scale, with ease of data manipulation and analysis, within reasonable computational time scales. In this article, we describe this infrastructure and then illustrate its use on a number of actual examples in both cognitive neuroscience and neurological research. We believe that these advanced computational approaches will fundamentally change the future shape of cognitive brain imaging with fMRI.

Original languageEnglish (US)
Pages (from-to)62-72
Number of pages11
JournalInternational Journal of Psychophysiology
Volume73
Issue number1
DOIs
StatePublished - Jul 1 2009
Externally publishedYes

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Neurosciences
Neuroimaging
Magnetic Resonance Imaging
Databases
Research
Neuroanatomy
Electrophysiology
Research Design
Software
Growth

Keywords

  • Brain
  • Cluster computing
  • Cognition
  • Cognitive neuroscience
  • Cortex
  • Data analysis
  • Data storage
  • Database
  • fMRI
  • Functional imaging
  • Functional MRI
  • Grid
  • Grid computing
  • High-performance computing
  • Image analysis
  • Imaging
  • Infrastructure
  • Language
  • Neurology
  • Neuroscience
  • Relational database

ASJC Scopus subject areas

  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology
  • Physiology (medical)

Cite this

Database-managed Grid-enabled analysis of neuroimaging data : The CNARI framework. / Small, Steven L.; Wilde, Michael; Kenny, Sarah; Andric, Michael; Hasson, Uri.

In: International Journal of Psychophysiology, Vol. 73, No. 1, 01.07.2009, p. 62-72.

Research output: Contribution to journalArticle

Small, Steven L. ; Wilde, Michael ; Kenny, Sarah ; Andric, Michael ; Hasson, Uri. / Database-managed Grid-enabled analysis of neuroimaging data : The CNARI framework. In: International Journal of Psychophysiology. 2009 ; Vol. 73, No. 1. pp. 62-72.
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