Verifying small vessel disease and mild cognitive impairment with a computational magnetic resonance imaging analysis
- Authors: Krupenin P.M.1, Perepelov V.A.1, Perepelova E.M.1, Bordovsky S.P.1, Preobrazhenskaya I.S.1, Sokolova A.A.1, Napalkov D.A.1, Voskresenskaya O.N.1
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Affiliations:
- Sechenov First Moscow State Medical University (Sechenov University)
- Issue: Vol 24, No 2 (2022)
- Pages: 90-95
- Section: Articles
- URL: https://journals.rcsi.science/2075-1753/article/view/108442
- DOI: https://doi.org/10.26442/20751753.2022.2.201353
- ID: 108442
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Abstract
Aim. To illustrate capabilities of the computational brain мagnetic resonance imaging (MRI) analyses on a small vessel disease (SVD) sample.
Materials and methods. Thirty-one patients underwent brain MRI in standard sequences. We used Lesion Segmentation Tool to assess white matter hyperintensities (WMH) volume and Computational Anatomy Toolbox to calculate cortical thickness. Both software plug-ins work within the Statistical Parametric Mapping 12 software for MATLAB. We also performed cognitive testing with the Montreal Cognitive Assessment test and tests to detect hippocampal and executive domain dysfunction.
Results. Sixteen patients had mild vascular cognitive impairment. The Median Fazekas scale score was 2 and 2 points. The median intracranial volume fraction occupied by the WMH was 0.07%. It correlated with the executive domain performance but not with cortical thickness. Cortical thickness within several clusters of the prefrontal complex and temporal lobe correlated with performance in cognitive tests. Among the computed MRI markers of the SVD, the occipital lobe cortical thickness had an area under the curve of 70%, and among the cognitive tests, the cued recall measure had an area under the curve of 73.8% to detect mild cognitive impairment.
Conclusion. The abovementioned metrics is a valuable tool to objectively estimate white and grey matter state in patients with small vessel disease. Performing those analyses helped to assess SVD properties in the sample further and register new correlations between MRI and cognitive markers.
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##article.viewOnOriginalSite##About the authors
Pavel M. Krupenin
Sechenov First Moscow State Medical University (Sechenov University)
Author for correspondence.
Email: krupenin_p_m@student.sechenov.ru
ORCID iD: 0000-0001-5203-4497
Graduate Student, Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowVsevolod A. Perepelov
Sechenov First Moscow State Medical University (Sechenov University)
Email: vsevolod.perepelov@gmail.com
ORCID iD: 0000-0002-4741-1988
Cand. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowElena M. Perepelova
Sechenov First Moscow State Medical University (Sechenov University)
Email: elena_perepelova@mail.ru
ORCID iD: 0000-0002-1951-930X
Cand. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowSergey P. Bordovsky
Sechenov First Moscow State Medical University (Sechenov University)
Email: sbordoche@gmail.com
ORCID iD: 0000-0002-6928-2355
Graduate Student, Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowIrina S. Preobrazhenskaya
Sechenov First Moscow State Medical University (Sechenov University)
Email: IrinaSP2@yandex.ru
ORCID iD: 0000-0002-9097-898X
D. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowAnastasiya A. Sokolova
Sechenov First Moscow State Medical University (Sechenov University)
Email: sokolovastasya2@gmail.com
ORCID iD: 0000-0001-5938-8917
Cand. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowDmitry A. Napalkov
Sechenov First Moscow State Medical University (Sechenov University)
Email: dminap@mail.ru
ORCID iD: 0000-0001-6241-2711
D. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowOlga N. Voskresenskaya
Sechenov First Moscow State Medical University (Sechenov University)
Email: vos-olga@yandex.ru
ORCID iD: 0000-0002-7330-633X
D. Sci. (Med.), Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation, MoscowReferences
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