Cited by 55Research Data Management PracticesScientific Computing and Data ManagementUndergraduate Neuroscience Education and Research

‘The surface management system’ (SuMS) database: a surface–based database to aid cortical surface reconstruction, visualization and analysis

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Dickson, James, Drury, Heather, Van Essen, David C.·2001·Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences

Abstract

Surface reconstructions of the cerebral cortex are increasingly widely used in the analysis and visualization of cortical structure, function and connectivity. From a neuroinformatics perspective, dealing with surface-related data poses a number of challenges. These include the multiplicity of configurations in which surfaces are routinely viewed (e.g. inflated maps, spheres and flat maps), plus the diversity of experimental data that can be represented on any given surface. To address these challenges, we have developed a surface management system (SuMS) that allows automated storage and retrieval of complex surface-related datasets. SuMS provides a systematic framework for the classification, storage and retrieval of many types of surface-related data and associated volume data. Within this classification framework, it serves as a version-control system capable of handling large numbers of surface and volume datasets. With built-in database management system support, SuMS provides rapid search and retrieval capabilities across all the datasets, while also incorporating multiple security levels to regulate access. SuMS is implemented in Java and can be accessed via a Web interface (WebSuMS) or using downloaded client software. Thus, SuMS is well positioned to act as a multiplatform, multi-user 'surface request broker' for the neuroscience community.

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Crossref · 10.1098/rstb.2001.0913

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  • Automatically extracted coordinates compared with manually entered SumsDB foci had sensitivity of 84% and specificity of 97%.

    “we compared automatically extracted coordinates with a reference set of manually-entered foci in the SumsDB database7,9, revealing high rates of sensitivity (84%) and specificity (97%).”

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Authors
Dickson, J., Drury, H., & Van Essen, D. C.
Affiliations
  • Washington University in St. Louis (US)
  • Department of Anatomy and Neurobiology, Washington University School of Medicine, St Louis, MO 63110, USA
Venue
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
Published
2001-08-29
Volume
356
Issue
1412
Pages
1277-1292
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2165934723
Cited by
54
References
37
Citations by year
2022: 1 · 2019: 2 · 2018: 1 · 2016: 5 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 3
FWCI
12.37
Type
journal article
Language
en
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
National Institute of Mental Health (R01MH060974, R01 MH60974-06)
Topics
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Undergraduate Neuroscience Education and Research
Keywords
cortical surface reconstruction, cerebral cortex, neuroinformatics, database management, version control, surface visualization, volumetric data
MeSH terms
Brain Mapping, Cerebral Cortex, Computer Systems, Humans, Magnetic Resonance Imaging, Neuroanatomy, Software Design, Databases, Factual

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