Standard

On alternative instruments for the fMRI data analysis : General linear model versus algebraic topology approach. / Knyazeva, Irina; Orlov, Vyacheslav; Ushakov, Vadim; Makarenko, Nikolay; Velichkovsky, Boris.

Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. Vol. 449 Springer Nature, 2016. p. 107-113 (Advances in Intelligent Systems and Computing; Vol. 449).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Knyazeva, I, Orlov, V, Ushakov, V, Makarenko, N & Velichkovsky, B 2016, On alternative instruments for the fMRI data analysis: General linear model versus algebraic topology approach. in Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. vol. 449, Advances in Intelligent Systems and Computing, vol. 449, Springer Nature, pp. 107-113. https://doi.org/10.1007/978-3-319-32554-5_14

APA

Knyazeva, I., Orlov, V., Ushakov, V., Makarenko, N., & Velichkovsky, B. (2016). On alternative instruments for the fMRI data analysis: General linear model versus algebraic topology approach. In Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016 (Vol. 449, pp. 107-113). (Advances in Intelligent Systems and Computing; Vol. 449). Springer Nature. https://doi.org/10.1007/978-3-319-32554-5_14

Vancouver

Knyazeva I, Orlov V, Ushakov V, Makarenko N, Velichkovsky B. On alternative instruments for the fMRI data analysis: General linear model versus algebraic topology approach. In Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. Vol. 449. Springer Nature. 2016. p. 107-113. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-32554-5_14

Author

Knyazeva, Irina ; Orlov, Vyacheslav ; Ushakov, Vadim ; Makarenko, Nikolay ; Velichkovsky, Boris. / On alternative instruments for the fMRI data analysis : General linear model versus algebraic topology approach. Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016. Vol. 449 Springer Nature, 2016. pp. 107-113 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{5ffc52c810ba49889eb4543d166693ad,
title = "On alternative instruments for the fMRI data analysis: General linear model versus algebraic topology approach",
abstract = "This work aimed at comparing two different approaches (classical general linear model based on the Bayesian approach and the method of algebraic topology) for fMRI data processing in a simple motor task. Subjects imposes block paradigm, consisting of three identical blocks. The duration of each block was 40 s (20 s of rest and 20 s of right hand fingers busting). To obtain statistically significant results were carried out 20 sessions of experiment. The results obtained by both methods were very close to each other, but correspondence between statistically significant changes in BOLD-signal was not quite complete. TDA (topologic data analyses) allocated additional voxels in Post central gyrus right. This region could be revealed with the changing in the level of confidence in the GLM model, but with this lower level of confidence too much additional voxels appeared. Combination of two approaches could be used for verification of results.",
keywords = "Activation detection, FMRI, General linear model, Time series analysis, Topological data analysis",
author = "Irina Knyazeva and Vyacheslav Orlov and Vadim Ushakov and Nikolay Makarenko and Boris Velichkovsky",
year = "2016",
doi = "10.1007/978-3-319-32554-5_14",
language = "English",
isbn = "9783319325538",
volume = "449",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "107--113",
booktitle = "Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016",
address = "Germany",

}

RIS

TY - GEN

T1 - On alternative instruments for the fMRI data analysis

T2 - General linear model versus algebraic topology approach

AU - Knyazeva, Irina

AU - Orlov, Vyacheslav

AU - Ushakov, Vadim

AU - Makarenko, Nikolay

AU - Velichkovsky, Boris

PY - 2016

Y1 - 2016

N2 - This work aimed at comparing two different approaches (classical general linear model based on the Bayesian approach and the method of algebraic topology) for fMRI data processing in a simple motor task. Subjects imposes block paradigm, consisting of three identical blocks. The duration of each block was 40 s (20 s of rest and 20 s of right hand fingers busting). To obtain statistically significant results were carried out 20 sessions of experiment. The results obtained by both methods were very close to each other, but correspondence between statistically significant changes in BOLD-signal was not quite complete. TDA (topologic data analyses) allocated additional voxels in Post central gyrus right. This region could be revealed with the changing in the level of confidence in the GLM model, but with this lower level of confidence too much additional voxels appeared. Combination of two approaches could be used for verification of results.

AB - This work aimed at comparing two different approaches (classical general linear model based on the Bayesian approach and the method of algebraic topology) for fMRI data processing in a simple motor task. Subjects imposes block paradigm, consisting of three identical blocks. The duration of each block was 40 s (20 s of rest and 20 s of right hand fingers busting). To obtain statistically significant results were carried out 20 sessions of experiment. The results obtained by both methods were very close to each other, but correspondence between statistically significant changes in BOLD-signal was not quite complete. TDA (topologic data analyses) allocated additional voxels in Post central gyrus right. This region could be revealed with the changing in the level of confidence in the GLM model, but with this lower level of confidence too much additional voxels appeared. Combination of two approaches could be used for verification of results.

KW - Activation detection

KW - FMRI

KW - General linear model

KW - Time series analysis

KW - Topological data analysis

UR - http://www.scopus.com/inward/record.url?scp=84964068442&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-32554-5_14

DO - 10.1007/978-3-319-32554-5_14

M3 - Conference contribution

AN - SCOPUS:84964068442

SN - 9783319325538

VL - 449

T3 - Advances in Intelligent Systems and Computing

SP - 107

EP - 113

BT - Biologically Inspired Cognitive Architectures BICA for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School, FIERCES 2016

PB - Springer Nature

ER -

ID: 9326384