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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 journal › Article › peer-review

Harvard

Korkhov, V, Volosnikov, V, Gribkov, K, Vorontsov, A, Gribkov, K, Zalutskaya, N, Degtyarev, A & Bogdanov, A 2018, 'Data storage, processing and analysis system to support brain research', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10963, pp. 78-90. https://doi.org/10.1007/978-3-319-95171-3_7

APA

Korkhov, V., Volosnikov, V., Gribkov, K., Vorontsov, A., Gribkov, K., Zalutskaya, N., Degtyarev, A., & Bogdanov, A. (2018). Data storage, processing and analysis system to support brain research. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10963, 78-90. https://doi.org/10.1007/978-3-319-95171-3_7

Vancouver

Korkhov V, Volosnikov V, Gribkov K, Vorontsov A, Gribkov K, Zalutskaya N et al. Data storage, processing and analysis system to support brain research. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018 Jul 4;10963:78-90. https://doi.org/10.1007/978-3-319-95171-3_7

Author

Korkhov, Vladimir ; Volosnikov, Vladislav ; Gribkov, Kirill ; Vorontsov, Andrey ; Gribkov, Kirill ; Zalutskaya, Natalia ; Degtyarev, Alexander ; Bogdanov, Alexander. / Data storage, processing and analysis system to support brain research. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018 ; Vol. 10963. pp. 78-90.

BibTeX

@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{\textquoteright}s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer{\textquoteright}s disease especially with the means of automated data handling provided by the developed information system.",
keywords = "Alzheimer{\textquoteright}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 = jul,
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 Nature",
note = "18th International Conference on Computational Science and Its Applications, ICCSA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",

}

RIS

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

UR - http://www.scopus.com/inward/record.url?scp=85049978582&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-95171-3_7

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

M3 - Article

AN - SCOPUS:85049978582

VL - 10963

SP - 78

EP - 90

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 18th International Conference on Computational Science and Its Applications, ICCSA 2018

Y2 - 2 July 2018 through 5 July 2018

ER -

ID: 35284090