Data storage, processing and analysis system to support brain research

Vladimir Korkhov, Vladislav Volosnikov, Kirill Gribkov, Andrey Vorontsov, Kirill Gribkov, Natalia Zalutskaya, Alexander Degtyarev, Alexander Bogdanov

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.

Keywords

  • Alzheimer’s disease
  • Brain
  • Data analysis
  • Information system
  • Neuroinformatics

Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

@article{fa09238d6fe942a5b2084217d4b4e99c,
title = "Data storage, processing and analysis system to support brain research",
abstract = "Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.",
keywords = "Alzheimer’s disease, Brain, Data analysis, Information system, Neuroinformatics",
author = "Vladimir Korkhov and Vladislav Volosnikov and Kirill Gribkov and Andrey Vorontsov and Kirill Gribkov and Natalia Zalutskaya and Alexander Degtyarev and Alexander Bogdanov",
year = "2018",
month = "7",
day = "4",
doi = "10.1007/978-3-319-95171-3_7",
language = "English",
volume = "10963",
pages = "78--90",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer",

}

Data storage, processing and analysis system to support brain research. / Korkhov, Vladimir; Volosnikov, Vladislav; Gribkov, Kirill; Vorontsov, Andrey; Gribkov, Kirill; Zalutskaya, Natalia; Degtyarev, Alexander; Bogdanov, Alexander.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10963, 04.07.2018, p. 78-90.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Data storage, processing and analysis system to support brain research

AU - Korkhov, Vladimir

AU - Volosnikov, Vladislav

AU - Gribkov, Kirill

AU - Vorontsov, Andrey

AU - Gribkov, Kirill

AU - Zalutskaya, Natalia

AU - Degtyarev, Alexander

AU - Bogdanov, Alexander

PY - 2018/7/4

Y1 - 2018/7/4

N2 - Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.

AB - Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.

KW - Alzheimer’s disease

KW - Brain

KW - Data analysis

KW - Information system

KW - Neuroinformatics

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DO - 10.1007/978-3-319-95171-3_7

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EP - 90

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

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