Skip to main content
Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
. 2022 Feb 17;172(4):402–406. doi: 10.1007/s10517-022-05402-9

Diffusional Characteristics of Brain Matter after Stroke

K V Zhuravleva 1, A A Savelov 1,, A M Korostyshevskaya 1, M B Shtark 2
PMCID: PMC8853182  PMID: 35175485

Abstract

We analyzed characteristics of diffusion and its kurtosis obtained using diffusion-kurtosis MRI in the hemisphere contralateral to the one affected by acute cerebrovascular accident. Diffusion characteristics in the white and gray matter were compared using analysis of covariance (ANCOVA) in healthy subjects and stroke patients with consideration for the age and sex factors. Significant differences between the groups were revealed for apparent diffusion coefficient and mean kurtosis in the white matter. Age dependence was studied using regression analysis and, according to the results of ANCOVA, this factor was found to be significant for apparent diffusion coefficient and diffusion kurtosis in the white matter. Metrics are proposed that can be used to determine the risk of stroke.

Key Words: diffusion kurtosis magnetic resonance imaging, stroke

Footnotes

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 172, No. 10, pp. 406-411, October, 2021

References

  • 1.Tonoyan AS, Pronin IN, Pitshelauri DI, Shishkina LV, Fadeeva LM, Pogosbekyan EL, Zakharova NE, Shults EI, Khachanova NV, Kornienko VN, Potapov AA. A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma. Zh. Vopr. Neirokhir. Im. N. N. Burdenko. 2015;79(6):5–14. doi: 10.17116/neiro20157965-14. [DOI] [PubMed] [Google Scholar]
  • 2.Beck D, de Lange AG, Maximov II, Richard G, Andreassen OA, Nordvik JE, Westlye LT. White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. Neuroimage. 2021;224:117441. doi: 10.1016/j.neuroimage.2020.117441. [DOI] [PubMed] [Google Scholar]
  • 3.Gong NJ, Wong CS, Chan CC, Leung LM, Chu YC. Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging. Neurobiol. Aging. 2014;35(10):2203–2216. doi: 10.1016/j.neurobiolaging.2014.03.011. [DOI] [PubMed] [Google Scholar]
  • 4.Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn. Reson. Med. 2005;53(6):1432–1440. doi: 10.1002/mrm.20508. [DOI] [PubMed] [Google Scholar]
  • 5.Spampinato MV, Chan C, Jensen JH, Helpern JA, Bonilha L, Kautz SA, Nietert PJ, Feng W. Diffusional kurtosis imaging and motor outcome in acute ischemic stroke. AJNR Am. J. Neuroradiol. 2017;38(7):1328–1334. doi: 10.3174/ajnr.A5180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhang S, Zhu W, Zhang Y, Yao Y, Shi J, Wang CY, Zhu W. Diffusional kurtosis imaging in evaluating the secondary change of corticospinal tract after unilateral cerebral infarction. Am. J. Transl. Res. 2017;9(3):1426–1434. [PMC free article] [PubMed] [Google Scholar]

Articles from Bulletin of Experimental Biology and Medicine are provided here courtesy of Nature Publishing Group

RESOURCES