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Samoilova Y.G.

Siberian State Medical University

Matveeva M.V.

Siberian State Medical University

Tonkikh O.S.

Siberian State Medical University

Kudlay D.A.

Institute of Immunology;
Sechenov First Moscow State Medical University (Sechenov University)

Oleinik O.A.

Siberian State Medical University

Fimushkina N.Yu.

Siberian State Medical University

Gerget O.M.

National Research Tomsk Polytechnic University

Borisova A.A.

National Research Tomsk Polytechnic University

Brain tractography in type 1 and 2 diabetes and cognitive impairment

Authors:

Samoilova Y.G., Matveeva M.V., Tonkikh O.S., Kudlay D.A., Oleinik O.A., Fimushkina N.Yu., Gerget O.M., Borisova A.A.

More about the authors

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To cite this article:

Samoilova YG, Matveeva MV, Tonkikh OS, et al. . Brain tractography in type 1 and 2 diabetes and cognitive impairment. S.S. Korsakov Journal of Neurology and Psychiatry. 2020;120(10):33‑37. (In Russ.)
https://doi.org/10.17116/jnevro202012010133

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References:

  1. Abljazov OV. Magnetic resonance tractography in clinical practice. Vestnik jekstrennoj mediciny. 2019;1(12):67-70. (In Russ).
  2. Yoon S, Kim J, Musen G, Renshaw PF, Hwang J, Bolo NR, Kim JE, Simonson DC, Weinger K, Ryan CM, Lyoo IK, Jacobson AM. Prefronto-temporal white matter microstructural alterations 20 years after the diagnosis of type 1 diabetes mellitus. Pediatr Diabetes. 2018;19(3):478-485.  https://doi.org/10.1111/pedi.12574
  3. Xiong Y, Sui Y, Xu Z, Zhang Q, Karaman MM, Cai K, Anderson TM, Zhu W, Wang J, Zhou XJ. A diffusion tensor imaging study on white matter abnormalities in patients with type 2 diabetes using tract-based spatial statistics. AJNR Am J Neuroradiol. 2016;37:1462-1469. https://doi.org/10.3174/ajnr.A4740 pmid:26988810
  4. Zaharov VV, Vahnina NV. Practical algorithms for managing patients with cognitive impairment. Medicinskij Sovet. 2019;6:27-33. (In Russ). https://doi.org/10.21518/2079-701X-2019-6-27-33
  5. Samojlova Iu.G., Rotkank MA, Kudlay DA, Zhukova NG, Matveeva MV, Tolmachev IV. Prognostic model of cognitive impairment development in patients with type 1 diabetes mellitus. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova. 2020;120(3):19-22. (In Russ). https://doi.org/10.17116/jnevro202012003119
  6. Samojlova Iu.G., Rotkank M.A., Zhukova N.G., Matveeva M.V., Tolmachev I.V., Kudlay D.A. Variabel'nost' glikemii u pacientov s saharnym diabetom 1-go tipa: svyaz' s kognitivnoj disfunkciej i dannymi magnitno-rezonansnyh metodov issledovaniya. Problemy Endokrinologii. 2018; 64(5): 286-291. (in Russ).
  7. Samojlova Iu.G., Rotkank M.A., Zhukova N.G., Matveeva M.V., Tolmachev I.V., Kudlay D.A. Markery kognitivnyh narushenij i variabel'nost' glikemii u pacientov s saharnym diabetom 1-go tipa. Zhurnal nevrologii i psihiatrii im. S.S. Korsakova. 2018; 118(4): 48-51 (in Russ).
  8. Fox LA, Hershey T, Mauras N, Arbeláez AM, Tamborlane WV, Buckingham B, Tsalikian E, Englert K, Raman M, Jo B, Shen H, Reiss A, Mazaika P. Persistence of abnormalities in white matter in children with type 1 diabetes. Diabetologia. 2018;61(7):1538-1547. https://doi.org/10.1007/s00125-018-4610-6
  9. Jacobson AM, Musen G, Ryan CM, Silvers N, Cleary PA, Waberski BH, Burwood A, Weinger K, Bayless M, Dahms W, Harth J. Long-term effect of diabetes and its treatment on cognitive function. N Engl J Med. 2007;356:1842-1852.
  10. van Duinkerken E, Schoonheim MM, Jzerman RGI, Moll AC, Landeira‐Fernandez J, Klein M, Diamant M, Snoek FJ, Barkhof F, Wink A‐M. Altered eigenvector centrality is related to local resting‐state network functional connectivity in patients with longstanding type 1 diabetes mellitus. Hum Brain Mapp. 2017;38:3623-3636.
  11. Reijmer YD, Brundel M, de Bresser J, Kappelle LJ, Leemans A, Biessels GJ. Microstructural white matter abnormalities and cognitive functioning in type 2 diabetes: a diffusion tensor imaging study. Diabetes Care. 2013;36:137-144.  https://doi.org/10.2337/dc12-0493
  12. Laugesen E, Høyem P, Stausbøl-Grøn B, Mikkelsen A, Thrysøe S, Erlandsen M, Christiansen JS, Knudsen ST, Hansen KW, Kim WY, Hansen TK, Poulsen PL. Carotid-femoral pulse wave velocity is associated with cerebral white matter lesions in type 2 diabetes. Diabetes Care. 2013;36(3):722-728.  https://doi.org/10.2337/dc12-0942

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