Eduard Pogosbekian

Email: wp@pogos.me | Moscow, Russia

ORCID: https://orcid.org/0000-0002-4803-6948

SUMMARY

Imaging scientist with over 10 years of experience in neuroradiology research. Expert in quantitative MRI and development of data analysis pipelines for studies of normal and pathological brain structure, brain and head-and-neck cancer, and traumatic brain injury (TBI). Extensive experience collaborating with large, interdisciplinary teams of clinicians and scientists at a large medical center.

RESEARCH INTERESTS

Diffusion MRI (DTI, DKI, WMTI, NODDI), fiber tracking, fMRI, non-proton MR spectroscopy (deuterium, phosphorus), voxel-based morphometry

EDUCATION AND TRAINING

PhD, March 2026

Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia

Thesis: MRI Assessment of the Corpus Callosum, Inferior Fronto‑Occipital Fasciculus, and Corticospinal Tracts in Severe Traumatic Brain Injury and Their Role in Global Brain Connectivity

MS Physics, 2014

National Research Nuclear University MEPHI (Moscow Engineering and Physics Institute), Russia

Thesis: Diffusion Tensor MRI in the Assessment of Brain Tissue Microstructure

ESMRMB Diffusion MRI Workshop, Edinburgh, UK, 2015

ExploreDTI Diffusion MRI Fiber Tracking Workshop, Utrecht, The Netherlands, 2016

EMPLOYMENT

Medical Physicist (7/2014 – present)

Burdenko National Medical Research Center for Neurosurgery, Moscow, Russia

  • Studied diffusion MRI, fiber tracking, MR spectroscopy, resting‑state and task‑based fMRI in patients with brain tumors and TBI; performed voxel‑based morphometry and brain segmentation in patients with epilepsy and multiple sclerosis
  • Developed pipelines for generating individualized tumor invasion maps and for gray–white matter junction segmentation in focal cortical dysplasia
  • Worked with neuronavigation, stereotactic biopsy, MRI/CT hardware and image data; analyzed rat brain histological tissue slide images

MRI Development Consultant (7/2025 – present)

Solvex LLC, Moscow, Russia

  • Implemented Matlab script for voxel-based tracer concentration quantitation in deuterium MR spectroscopy

Research Associate (10/2016 – 12/2024)

Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia

  • Studied brain connectivity in patients with TBI: structural (fiber tracts) and functional (EEG, resting‑state and task fMRI) connectivity
  • Developed pipeline for assessing fiber‑tract segments in patients with TBI

TEACHING EXPERIENCE

Mentored MS student (2024–2025). Thesis: Deuterium (²H) Magnetic Resonance Spectroscopy in the Study of Brain Metabolism in Health and Disease

Developed lecture materials for GE Academy, GE Healthcare Russia (11/2016 – present)

PROFESSIONAL SKILLS

Medical image analysis:

  • ANTs (image registration, segmentation, template construction)
  • FreeSurfer (segmentation, image registration, groupwise stats)
  • FSL (eddy-currents correction, fMRI processing)
  • AFNI (fMRI processing)
  • MRtrix3 (diffusion data preprocessing, fiber tracking)
  • DIPY (Diffusion Imaging in Python)
  • Coding: Matlab, R, Python, Bash

PUBLICATIONS

  1. Afandiev RM, Zakharova NE, Pogosbekyan EL, Batalov AI, Tsarukaev BA, Pronin IN. The Capabilities of MR Tractography in Predicting Motor and Speech Disorders in Patients with Diffuse Axonal Injury. Radiology – Practice. 2026;(1):60-80. doi:10.52560/2713-0118-2026-1-60-80
  2. Pogosbekyan EL, Zakharova NE, Batalov AI, Shevchenko AM, Fadeeva LM, Bykanov AE, et al. Individual Brain Tumor Invasion Mapping Based on Diffusion Kurtosis Imaging. Sovrem Tehnol Med. 2025 Feb 28;17(1):81. PMID: 40071079; PMCID: PMC11892574; DOI: 10.17691/stm2025.17.1.08
  3. Pogosbekian EL, Sharova EV, Fadeeva LM, Alexandrova EV, Chekhonin IV, Zakharova NE, et al. Significance of the corpus callosum and inferior fronto-occipital fasciculus in recovery after traumatic brain injury. Neuroradiology [Internet]. 2025. PMID: 40067461; DOI: 10.1007/s00234-025-03577-2
  4. Chekhonin IV, Batalov AI, Pogosbekian EL, Tyurina AN, Galstyan SA, Bykanov AE et al. A study of magnetic resonance relaxometry, diffusion kurtosis and perfusion imaging in non-enhancing diffuse brain gliomas with intraoperative neuronavigation: analysis of tumor heterogeneity and searching for neuroimaging predictors of proliferative activity. REJR. 2025; 15(2):109–19. DOI: 10.21569/2222-7415-2025-15-2-109-119
  5. Ivanov VV, Konovalov AN, Zakharova NE, Afandiev RM, Pogosbekyan EL, Pronin IN, et al. HARDI-CSD tractography in determining the structure of diencephalic pathways in craniopharyngiomas. Burdenko’s Journal of Neurosurgery. 2025 Feb 5;89(1):30. PMID: 39907664; DOI: 10.17116/neiro20258901130
  6. Bezbabicheva TS, Maryashev SA, Ogurtsova AA, Eliseeva NM, Afandiev RM, Pogosbekyan EL, et al. Intraoperative monitoring of cortical visual evoked potentials in resection of tumors near the optic radiation. Burdenko’s Journal of Neurosurgery. 2025 Nov 27;89(6):46. PMID: 41307973; DOI: 10.17116/neiro20258906146
  7. Shevchenko AM, Pogosbekyan EL, Batalov AI, Tyurina AN, Fadeeva LM, Agrba SB, et al. Focal cortical dysplasia: visual assessment of MRI and MR morphometry data. Burdenko’s Journal of Neurosurgery. 2024;88(3):45. PMID: 38881015; DOI: 10.17116/neiro20248803145
  8. Shevchenko AM, Pogosbekyan EL, Vlasov PA, Agrba SB, Galstyan SA, Batalov AI, et al. MR morphometry in the diagnosis of MR-negative focal cortical dysplasia (clinical case). Voprosy Neirokhirurgii (Problems of Neurosurgery). 2024 Jan 15;(1):104–14. DOI: 10.52560/2713-0118-2024-1-104-114
  9. Garanina NV, Dolgushin MB, Fadeeva LM, Pogosbekyan EL, Sashin DV, Nechipay EA, et al. Diffusion-kurtosis magnetic resonance imaging of the brain in the differential diagnostics of metastases of tumors of various primary localization. Journal of Clinical Practice. 2024 Jan 28;14(4):34–48. DOI: 10.17816/clinpract454763
  10. Danilov G, Shevchenko A, Afandiev R, Batalov A, Pogosbekyan E, Zakharova N, et al. Reproducibility of Radiomic Features in Glial Brain Tumors. In: Mantas J, Hasman A, Demiris G, Saranto K, Marschollek M, Arvanitis TN, et al., editors. Studies in Health Technology and Informatics [Internet]. IOS Press; 2024. PMID: 39176588; DOI: 10.3233/SHTI240617
  11. Afandiev RM, Zakharova NE, Danilov GV, Pogosbekyan EL, Goryaynov SA, Latyshev YaA, et al. Diffusion Kurtosis Imaging and Radiomics in Diffuse Axonal Injury. Radiology – Practice. 2024 Jan 11;(1):51–65. DOI: 10.52560/2713-0118-2024-1-51-65
  12. Zakharova NE, Batalov AI, Pogosbekian EL, Chekhonin IV, Goryaynov SA, Bykanov AE, et al. Perifocal Zone of Brain Gliomas: Application of Diffusion Kurtosis and Perfusion MRI Values for Tumor Invasion Border Determination. Cancers. 2023 May 15;15(10):2760. PMID: 37345097; PMCID: PMC10216555; DOI: 10.3390/cancers15102760
  13. Zakharova NE, Batalov AI, Pogosbekyan EL, Goryaynov SA, Fadeeva LM, Bykanov AE, et al. Magnetic Resonance Imaging in Studies of Perifocal Zone of Brain Gliomas (a Literature Review). Radiology – Practice. 2023 Dec 6;(1):20–36. DOI: 10.52560/2713-0118-2024-1-20-36
  14. Pronin IN, Tyurina AN, Lesiv AV, Ivashkin PE, Teryaeva NB, Pogosbekyan EL, et al. Deuterium magnetic resonance spectroscopy for assessing glucose metabolism in healthy and in neurooncology diseased brain. Review. Medical Visualization. 2023 June 14;27(3):141–51. DOI: 10.24835/1607-0763-1249
  15. Pogosbekian EL, Sharova EV, Fadeeva LM, Shtern MV, Aleksandrova EV, Zakharova NE, et al. Significance of Corticospinal, Associative and Inter-Hemispheric Tracts for the Development of Posttraumatic Hemiparesis. General Reanimatology. 2023 Dec 26;19(6):25–38. DOI: 10.15360/1813-9779-2023-6-25-38
  16. Danilov G, Afandiev R, Pogosbekyan E, Goraynov S, Pronin I, Zakharova N. Radiomics Enhances Diagnostic and Prognostic Value of Diffusion Kurtosis Imaging in Diffuse Axonal Injury. In: Giacomini M, Stoicu-Tivadar L, Balestra G, Benis A, Bonacina S, Bottrighi A, et al., editors. Studies in Health Technology and Informatics [Internet]. IOS Press; 2023 [cited 2024 Aug 26]. PMID: 37869859; DOI: 10.3233/SHTI230798
  17. Danilov GV, Shevchenko AM, Konakova TA, Pogosbekyan EL, Shugai SV, Tsukanova TV, et al. Non-invasive diagnosis of brain gliomas by histological type using neuroradiomics in standardized regions of interest: towards digital biopsy. Vopr neirokhir. 2023;87(6):59. PMID: 38054228; DOI: 10.17116/neiro20238706159
  18. Turkin AM, Afandiev RM, Melnikova-Pitskhelauri TV, Fadeeva LM, Solozhentseva KD, Pogosbekyan EL, et al. Periventricular changes following hydrocephalus: quantitative MR-based assessment of tissue characteristics. Vopr neirokhir. 2022;86(4):41. PMID: 35942836; DOI: 10.17116/neiro20228604141
  19. Sudarikova AV, Batalov AI, Pogosbekyan EL, Fadeeva LM, Zakharova NE, Pronin IN. Differences in Cerebral Blood Flow in Gliomas on Magnetic Resonance Imaging Scanners with Magnetic Field Strengths of 1.5 and 3 T by the Method of Pseudo-Continuous Non-Contrast Perfusion. Radiology – Practice. 2022 Feb 26;(1):30–44. DOI: 10.52560/2713-0118-2022-1-30-44
  20. Solozhentseva K, Batalov A, Zakharova N, Goryaynov S, Pogosbekyan E, Pronin I. The Role of 3D-pCASL MRI in the Differential Diagnosis of Glioblastoma and Brain Metastases. Front Oncol [Internet]. 2022 Apr 26. PMID: 35558515; PMCID: PMC9086561; DOI: 10.3389/fonc.2022.874924
  21. Pronin IN, Sharaev MG, Melnikova-Pitskhelauri TV, Smirnov AS, Bernshtein AV, Yarkin VE, et al. Machine learning for resting state fMRI-based preoperative mapping: comparison with task-based fMRI and direct cortical stimulation. Vopr neirokhir. 2022;86(4):25. PMID: 35942834; DOI: 10.17116/neiro20228604125
  22. Chekhonin IV, Pogosbekyan EL, Nikitin PV, Batalov AI, Bykanov AE, Maryashev SA, et al. Magnetic resonance relaxometry and diffusion-weighted imaging in glioma grading and IDH1 mutational status assessment. Rejr. 2022;12(1):21–31. DOI: 10.21569/2222-7415-2022-12-1-21-31
  23. Batalov AI, Zakharova NE, Chekhonin IV, Pogosbekyan EL, Sudarikova AV, Goryainov SA, et al. Arterial Spin Labeling Perfusion in Determining the IDH1 Status and Ki-67 Index in Brain Gliomas. Diagnostics. 2022 June 12;12(6):1444. PMID: 35741254; PMCID: PMC9221904; DOI: 10.3390/diagnostics12061444
  24. Batalov AI, Zakharova NE, Pronin IN, Belyaev AYu, Pogosbekyan EL, Goryaynov SA, et al. 3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients. Sci Rep. 2022 Feb 8;12(1):2121. PMID: 35136119; PMCID: PMC8826414; DOI: 10.1038/s41598-022-05992-4
  25. Batalov AI, Afandiev RM, Zakharova NE, Pogosbekyan EL, Shulgina AA, Kobyakov GL, et al. 3D pseudo-continuous arterial spin labeling-MRI (3D PCASL-MRI) in the differential diagnosis between glioblastomas and primary central nervous system lymphomas. Neuroradiology. 2022 Aug;64(8):1539–45. PMID: 35112216; DOI: 10.1007/s00234-021-02888-4
  26. Oknina LB, Zaytsev OS, Masherov EL, Pogosbekyan EL, Zigmantovich AS, Kopachka MM, et al. A Stable Reduction of the Number of Brain Functional Connectivity Patterns Predetermines Prolonged Disorders of Consciousness in Patients with Traumatic Brain Injuries. BIOPHYSICS. 2021;66(4):791–801. DOI: 10.1134/S0006350921040199
  27. Afandiev RM, Zakharova NE, Pogosbekyan EL, Potapov AA, Pronin IN. Diffusion-tensor and Diffusion-kurtosis Magnetic Resonance Imaging in the Assessment of Diffuse Axonal Injury (Literature Review). Radiology – Practice. 2021 Nov 28;(1):77–90. DOI: 10.52560/2713-0118-2022-1-77-90
  28. Vikhrova NB, Kalaeva DB, Postnov AA, Khokhlova EV, Konakova TA, Batalov AI, et al. Dynamic 11C-methionine PET/CT in differential diagnosis of brain gliomas. Vopr neirokhir. 2021;85(3):5. PMID: 34156203; DOI: 10.17116/neiro2021850315
  29. Shevchenko AM, Pogosbekyan EL, Batalov AI, Shultz EI, Tyurina AN, Fadeeva LM, et al. Automatic Algorithm of Magnetic Resonance Morphometry in the Diagnosis of Focal Cortical Dysplasia. Radiology – Practice. 2021 Dec 23;(1):63–76. DOI: 10.52560/2713-0118-2022-1-63-76
  30. Sharova EV, Boldyreva GN, Lysachev DA, Dzyubanova NA, Zhavoronkova LA, Smirnov AS, et al. Functional and diagnostic significance of the fMRI-response type to motor loads in patients after traumatic brain damage. Medical Visualization. 2021 Dec 12;25(4):31–46. DOI: 10.24835/1607-0763-1003
  31. Pronin IN, Batalov AI, Shultz EI, Mertsalova MP, Vikhrova NB, Pogosbekyan EL, et al. Phosphorus MR spectroscopy and 18F-FDG PET/CT in the study of energy metabolism of glial tumors. Vopr neirokhir. 2021;85(2):26. PMID: 33864666; DOI: 10.17116/neiro20218502126
  32. Pogosbekian EL, Pronin IN, Zakharova NE, Batalov AI, Turkin AM, Konakova TA, et al. Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading. Neuroradiology. 2021 Aug;63(8):1241–51. PMID: 33410948; PMCID: PMC8295088; DOI: 10.1007/s00234-020-02613-7
  33. Chekhonin IV, Batalov AI, Zakharova NE, Pogosbekyan EL, Nikitin PV, Bykanov AE, et al. Magnetic resonance relaxometry in high-grade glioma subregion assessment — neuroimaging and morphological correlates. Vopr neirokhir. 2021;85(4):41. PMID: 34463449; DOI: 10.17116/neiro20218504141
  34. Baev AA, Pogosbekian EL, Zakharova NE, Pitskhelauri DI, Batalov AI, Shkatova AM, et al. Magnetic resonance tractography based on the constrained spherical deconvolution in patients with gliomas of the optic pathway. Almanac of Clinical Medicine. 2021 Mar 29;49(1):11–20. DOI: 10.18786/2072-0505-2021-49-009
  35. Zhavoronkova LA, Maksakova OA, Moraresku SI, Kushnir EM, Pogosbekyan EL, Indeeva AA. Dual-Tasking as Diagnostic and Rehabilitation Tool in Traumatic Brain Injury Patients. JBBS. 2020;10(06):237–56. DOI: 10.4236/jbbs.2020.106015
  36. Smirnov AS, Melnikova-Pitskhelauri TV, Sharaev MG, Zhukov VYu, Pogosbekyan EL, Afandiev RM, et al. Resting-state fMRI in preoperative non-invasive mapping in patients with left hemisphere glioma. Vopr neirokhir. 2020;84(4):17. PMID: 32759923; DOI: 10.17116/neiro20208404117
  37. Mertsalova MP, Pronin IN, Zakharova NE, Podoprigora AE, Batalov AI, Tyurina AN, et al. Intracellular pH measurement in glioblastoma cells: the possibilities of phosphorus-31 MR spectroscopy. Vopr neirokhir. 2020;84(6):26. PMID: 33306297; DOI: 10.17116/neiro20208406126
  38. Kosyrkova AV, Goryainov SA, Ogurtsova AA, Okhlopkov VA, Kravchuk AD, Batalov AI, et al. Comparative analysis of mono- and bipolar pyramidal tract mapping in patients with supratentorial tumors adjacent to motor areas: comparison of data at 64 stimulation points. Vopr neirokhir. 2020;84(5):29. PMID: 33095531; DOI: 10.17116/neiro20208405129
  39. Batalov AI, Zakharova NE, Pronin IN, Pogosbekyan EL, Fadeeva LM, Goryaynov SA, et al. BOLD fMRI mapping of eloquent cortical areas in patients with brain tumor using independent physiological parameters. Diagnostic radiology and radiotherapy. 2020 Sept 9;11(3):25–37. DOI: 10.22328/2079-5343-2020-11-3-25-37
  40. Zakharova NE, Potapov AA, Pronin IN, Danilov GV, Aleksandrova EV, Fadeeva LM, et al. Diffusion kurtosis imaging in diffuse axonal injury. Vopr neirokhir. 2019;83(3):5. PMID: 31339493; DOI: 10.17116/neiro2019830315
  41. Voss HU, Peck KK, Petrovich Brennan NM, Pogosbekyan EL, Zakharova NE, Batalov AI, et al. A vascular-task response dependency and its application in functional imaging of brain tumors. Journal of Neuroscience Methods. 2019 July;322:10–22.      PMID: 30991031; PMCID: PMC6526069; DOI: 10.1016/j.jneumeth.2019.04.004
  42. Tyurina AN, Fadeeva LM, Kornienko VN, Zakharova NE, Batalov AI, Mertsalova MP, et al. 3D proton MR spectroscopy of the gray and white brain matter. A study of 15 volunteers. Vopr neirokhir. 2018;82(6):23. PMID: 30721214; DOI: 10.17116/neiro20188206123
  43. Smirnov AS, Sharaev MG, Melnikova-Pitskhelauri TV, Zhukov VYu, Bikanov AE, Sharova EV, et al. Resting state fMRI in pre-surgical brain mapping. Literature review. Medical Visualization. 2018 Oct 28;(5):6–13. DOI: 10.24835/1607-0763-2018-5-6-13
  44. Sharova EV, Pogosbekian EL, Korobkova EV, Zaitsev OS, Zakharova NE, Chelyapina MV, et al. Inter hemispheric connectivity and attention in patients with disorders of consciousness after severe traumatic brain injury. JNSK [Internet]. 2018 Aug 17. DOI: 10.15406/jnsk.2018.08.00319
  45. Pronin IN, Batalov AI, Zakharova NE, Fadeeva LM, Pogosbekyan EL, Goryaynov SA, et al. Evaluation of vascular reactivity to overcome limitations of neurovascular uncoupling in BOLD fMRI of malignant brain tumors. Vopr neirokhir. 2018;82(5):21. PMID: 30412153; DOI: 10.17116/neiro20188205121
  46. Pogosbekyan EL, Turkin AM, Baev AA, Shults EI, Khachanova NV, Maximov II, et al. Diffusion-kurtosis imaging in assesment of brain microstructure. Healthy volunteers measurments. Medical Visualization. 2018 Aug 28;(4):108–26. DOI: 10.24835/1607-0763-2018-4-108-126
  47. Batalov AI, Zakharova NE, Pogosbekyan EL, Fadeeva LM, Goryaynov SA, Baev AA, et al. Non-contrast ASL perfusion in preoperative diagnosis of supratentorial gliomas. Vopr neirokhir. 2018;82(6):15. PMID: 30721213; DOI: 10.17116/neiro20188206115
  48. Aleksandrova EV, Batalov AI, Pogosbekyan EL, Zakharova NE, Fadeeva LM, Kravchuk AD, et al. New opportunities of magnetic-resonance imaging: an algorithm of CSD-HARDI tractography in reconstruction of the brainstem reticular formation fibers. Vopr neirokhir. 2018;82(1):5. PMID: 29543210 DOI: 10.17116/oftalma201813415-12
  49. Turkin AM, Pogosbekyan EL, Tonoyan AC, Shults EI, Maximov II, Dolgushin MB, et al. Diffusion Kurtosis Imaging in the Assessment of Peritumoral Brain Edema in Glioblastomas and Brain Metastases. Medical Visualization. 2017 Aug 28;(4):97–112. DOI: 10.24835/1607-0763-2017-4-97-112
  50. Turkin AM, Oshorov AV, Pogosbekyan EL, Smirnov AS, Dmitrieva AS. Correlation of intracranial pressure and diameter of the sheath of the optic nerve by computed tomography in severe traumatic brain injury. Vopr neirokhir. 2017;81(6):81. PMID: 29393290; DOI: 10.17116/neiro201781681-88
  51. Bykanov AE, Pitskhelauri DI, Batalov AI, Pronin IN, Shkarubo MA, Dobrovol’skiy GF, et al. Surgical anatomy of the peri-insular association tracts. Part I.The superior longitudinal fascicle system. Vopr neirokhir. 2017;81(1):26. PMID: 28291211; DOI: 10.17116/neiro201780726-38
  52. Sharova EV, Zaitsev ОS, Korobkova ЕV, Zakharova NE, Pogosbekian EL, Chelyapina MV, et al. Analysis of behavioral and EEG correlatives of attention in the dynamics of recovery of consciousness following severe brain injury. Neurology, neuropsychiatry, psychosomatics. 2016 Oct 31;8(3):17–25. DOI: 10.14412/2074-2711-2016-3-17-25
  53. Tonoyan AS, Pronin IN, Pitskhelauri DI, Khachanova NV, Fadeeva LM, Pogosbekyan EL, et al. Diffusion Kurtosis Magnetic Resonance Imaging: a New Method of Brain Microstructure Characterization (Preliminary Results in Healthy Volunteers). Radiology – Practice. 2015;(1 (49)):57–67.
  54. Tonoyan AS, Pronin IN, Pitshelauri DI, Shishkina LV, Fadeeva LM, Pogosbekyan EL, et al. A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma. Vopr neirokhir. 2015;79(6):5. PMID: 26977789; DOI: 10.17116/neiro20157965-14
  55. Tonoyan AS, Pronin IN, Pitshelauri DI, Zakharova NE, Khachanova NV, Fadeeva LM, et al. Diffusion kurtosis magnetic resonance imaging–a new method of non-gaussian diffusion assessment in neuroradiology. Med. Phys. 2014;(4 (64)):57–63.

CONFERENCE PRESENTATIONS & POSTERS

  1. Pogosbekian E, Sharova E, Chelyapina-Postnikova M, Fadeeva L, Zakharova N, Pronin I. Diffusion kurtosis imaging in assessment of interhemispheric and associative pathways of patients with severe traumatic brain injury. In: Magnetic Resonance Materials in Physics, Biology and Medicine [Internet]. Rotterdam, NL; 2019 [cited 2024 Aug 26]. p. S104–5. Available from: http://link.springer.com/10.1007/s10334-019-00753-3
  2. Pogosbekian E, Batalov A, Turkin A, Pronin I, Maximov I. Generalised kurtosis imaging approach for glioblastoma evaluation. In Paris, France; 2018. Available from: https://cds.ismrm.org/protected/18MProceedings/PDFfiles/5389.html
  3. Pogosbekian E, Sharova E, Zakharova N, Fadeeva L, Maximov I, Pronin I. Diffusion kurtosis imaging values along interhemispheric and associative fiber tracts in healthy volunteers. In: Magnetic Resonance Materials in Physics, Biology and Medicine [Internet]. Barcelona, ES; 2017 [cited 2024 Aug 26]. p. S620–1. Available from: http://link.springer.com/10.1007/s10334-017-0635-y
  4. Sharova E, Pogosbekian E, Korobkova E, Zakharova N, Fadeeva L, Zaitsev O. Correlation between damages of the corpus callosum tracts and interhemispheric coherence of EEG during attention activation in patients with severe traumatic brain injury. In: Magnetic Resonance Materials in Physics, Biology and Medicine [Internet]. Vienna, AT; 2016 [cited 2024 Aug 26]. p. S338. Available from: http://link.springer.com/10.1007/s10334-016-0570-3
  5. Pogosbekian E, Chelyapina M, Zakharova N, Fadeeva L, Pronin I, Sharova E. Corpus callosum: comparison of regional diffusion metrics, clinical and EEG functional activity characteristics for patients with severe traumatic brain injury (STBI). In: Magnetic Resonance Materials in Physics, Biology and Medicine [Internet]. Edinburgh, UK; 2015 [cited 2024 Aug 26]. p. S308. Available from: http://link.springer.com/10.1007/s10334-015-0489-0

FUNDING (Co-I)

  1. RFBR Grant No 15-36-01038, fMRI and EEG analysis of functional brain activity during the resting state in healthy individuals and in patients with traumatic brain injury
  2. RFBR Grant No 18-013-00355, Neurophysiological analysis of motor activity impairment and recovery after severe traumatic brain injury (EEG–fMRI study)
  3. RFBR Grant No 16-04-01472, Structural–metabolic biomarkers of post‑traumatic disorders of consciousness, intellectual‑memory deficits, and emotional‑volitional disturbances
  4. RFBR Grant No 16-04-01419, Dynamic study of the microstructure and plasticity of the corticospinal tracts in models of traumatic and tumor brain lesions using diffusion kurtosis MRI, high‑angular‑resolution diffusion imaging, and non‑contrast MR perfusion
  5. RFBR Grant No 18-29-01032, Study of individual variability in the functional integration of brain regions in gliomas for preoperative non‑invasive mapping
  6. RFBR Grant No 17-54-33018, Identification of functionally significant cortical areas in patients with brain tumors using BOLD functional magnetic resonance imaging and additional physiological parameters
  7. RSCF Grant No 14-15-00197, Structural and neurochemical characteristics of diffuse damages of the brain conductive pathways using in vivo non-invasive methods
  8. RHSF Grant No 15-06-10836, Identification of prognostically significant factors for consciousness recovery in patients with traumatic brain injury and prolonged loss of consciousness
  9. RSCF Grant No 14-15-01092, Functional neuroanatomy and individual variability of speech and motor areas in a model of focal brain lesions
  10. RFBR Grant No 18-315-00384, Analysis of correlation between local tumor blood flow and intraoperative fluorescence grade in patients with brain gliomas
  11. RSCF Grant No 18-15-00337, Non‑invasive assessment of brain tumor energy metabolism
  12. RFBR Grant No 19-29-01154, Prediction of deterioration of pyramidal symptoms and their reversibility in patients with supratentorial glial brain tumors localized near motor zones, using knowledge and deep neural network transferring and multivariate analysis of digital data arrays of different modality
  13. RFBR Grant No 18-29-01018, Diffusion, perfusion, spectroscopy, and relaxation magnetic resonance imaging biomarkers of malignant gliomas with different molecular‑genetic profiles
  14. RFBR Grant No 19-29-01002, Objective evaluation of individual differences in spontaneity and decision‑making mechanisms through oculomotor and electrophysiological activity in biofeedback circuits
  15. RSCF Grant No 22-75-10074, Radiomic analysis of the perifocal zone in brain gliomas using diffusion kurtosis, MR relaxation, and perfusion metrics to delineate tumor invasion boundaries