Vascular dementia neurovisual markers according routine and diffusion-tensor MRI (publications’ review)
DOI:
https://doi.org/10.21638/spbu11.2021.205Abstract
The article presents review of the most significant neurovisual biomarkers-predictors of the cognitive disfunction caused by brain vascular pathology. Also given quantitative and qualitative characteristics of this pathology including localization that can be detected using routine and diffusion-tensor MRI. Following biomarkers were noted when using standard MRI protocols: atrophy of gray matter and white matter tracts and basal nuclei; white matter hyperintensities (foci of gliosis and periventricular leukoaraiosis), micro-bleeding (large vessels, white and gray matter deposits of hemosiderin), enlarged perivascular spaces (cystic enlargement of the penetrating arteries, arterioles, veins and venules), recent small subcortical infarcts and
post-ischemic damages in cortex, basal nuclei and white matter tracts. The article outlines diffusion tensor MRI latest developments for cognitive deficits’ risk assessment, such as threshold coefficients (indexes) of the fraction anisotropy, received in neocortex tracts (frontal and temporal lobes; fronto-thalamic pathway).
Keywords:
diffusion-tensor MRI, fractional anisotropy, vascular dementia, cognitive disorders, brain atrophy, lacunar strokes, subcortical strokes, white matter hyperintensity
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References
Dichgans M., Wardlaw J., Smith E., Zietemann V., Seshadri S., Sachdev P., Biessels G. J., Fazekas F., Benavente O., Pantoni L., De Leeuw F.-E., Norrving B., Matthews P., Chen C., Mok V., Düring M., Whiteley W., Shuler K., Alonso A., Black S. E., Brayne C., Chabriat H., Cordonnier C., Doubal F., Duzel E., Ewers M., Frayne R., Hachinski V., Ikram M. A., Jessen F., Jouvent E., Linn J., O’Brien J.,van Oostenbrugge R., Malik R., Mazoyer B., Schmidt R., Sposato L. A., Stephan B., Swartz R. H., Vernooij M., Viswanathan A., Werring D., Abe K., Allan L., Arba F., Bae H.-J., Bath Ph. Mw., Bordet R., Breteler M., Choi S., Deary I., DeCarli Ch., Ebmeier K., Feng L., Greenberg S. M., Ihara M., Kalaria R., Kim S., Lim J.-S., Lindley R. I., Mead G., Murray A., Quinn T., Ritchie C., Sacco R., Salman R. A.-S., Sprigg N., Sudlow C., Thomas A., van Boxtel M., van der Grond J., van der Lugt A., Yang Yu.-H. METACOHORTS for the study of vascular disease and its contribution to cognitive decline and neurodegeneration: A initiative of the Joint Programme for Neurodegenerative Disease Research. Alzheimers Dement., 2016, vol. 12, pp. 1235–1249.
Smajlović D. Strokes in young adults: epidemiology and prevention. Vasc. Health Risk Manag., 2015,vol. 11, pp. 157–164.
Da Zhou, Ran Meng, Si-Jie Li, Jing-Yuan Ya, Jia-Yue Ding, Shu-Ling Shang, Yu-Chuan Ding, Xun-Ming Ji. Advances in chronic cerebral circulation insufficiency. CNS Neurosci. Ther., 2018, vol. 4, no. 1, pp. 5–17.
Kontis V., Bennett J. E., Mathers C. D., Li G., Foreman K., Ezzati M. Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble. Lancet, 2017, vol. 389, no. 10076, pp. 1323–1335.
Staffaroni A. M., Fanny M. F., McDermott D. Neuroimaging in Dementia. Semin. Neurol., 2017, vol. 37, no. 5, pp. 510–537.
Zhang Y., Burock M. A. Diffusion Tensor Imaging in Parkinson’s Disease and Parkinsonian Syndrome: A Systematic Review. Front Neurol., 2020, vol. 11, p. 531993.
Ublinskiy M. V. Nuclear magnetic resonance in vivo as a method for studying biochemical and biophysical processes of the human brain in health and psychopathology (examp. schizophrenia): PhD Diss. Мoscow, 2016. (In Russian)
Emelin A. Y., Odinak M. M., Lobzin V. Yu., Vorobyev S. V., Kiselev V. N. Capacities for neuroimaging in the differential diagnosis of cognitive impairments. Neurology, Neuropsychiatry, Psychosomatics, 2012, vol. 4, no. 2, pp. 51–55. (In Russian)
Wardlaw J. M., Smith E. E., Biessels G. J. Cordonnier C., Fazekas F., Frayne R., Lindley R. I., O’Brien J. T., Barkhof F., Benavente O. R., Black S. E., Brayne C., Breteler M., Chabriat H., Decarli Ch., de Leeuw F.-E., Doubal F., Duering M., Fox N. C., Greenberg S., Hachinski V., Kilimann I., Mok V., van Oostenbrugge R., Pantoni L., Speck O., Stephan B. C. M., Teipel S., Viswanathan A., Werring D., Chen Ch., Smith C., van Buchem M., Norrving B., Gorelick Ph. B., Dichgans M. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol., 2013, vol. 12, no. 8, pp. 822–838.
Hernandez M. C. V., Piper R. J., Bastin M. E., Royle N. A., Muñoz Maniega S., Aribisala B. S., MurrayC., Deary I. J., Wardlaw J. M. Morphologic, distributional, volumetric, and intensity characterization ofperiventricular hyperintensities. AJNR Am. J. Neuroradiol., 2014, vol. 35, no. 1, pp. 55–62.
Fazekas F., Chawluk J. B., Alavi A., Hurtig H. I., Zimmerman R. A. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am. J. Roentgenol., 1987, vol. 149, no. 2, pp. 351–356.
Poggesi A., Gouw A., van der Flier W., Pracucci G., Chabriat H., Erkinjuntti T., Fazekas F., Ferro J. M., Blahak Ch., Langhorne P., O’Brien J., Schmidt R., Visser M. C., Wahlund L.-O., Waldemar G., Wallin A., Scheltens Ph., Inzitari D., Pantoni L. Neurological abnormalities predict disability: the LADIS
(Leukoaraiosis And DISability) study.J Neurol., 2014, vol. 261 , no. 6, pp. 1160–1169.
Windham B. G., Griswold M. E., Shibata D., Penman A., Catellier D. J., Mosley T. H. Jr. Covert neurological symptoms associated with silent infarcts from midlife to older age: the Atherosclerosis Risk in Communities study. Stroke, 2012, vol. 43, no. 5, pp. 1218–1223.
Saini M., Ikram K., Hilal S., Qiu A., Venketasubramanian N., Chen Ch. Silent stroke: not listened to rather than silent. Stroke, 2012, vol. 43, no. 11, pp. 3102–3104.
Novosadova O. A., Grigor’eva V. N. Cerebral amyloid angiopathy and hypertensive cerebral microangiopathy. Differential diagnosis. Neurol. Bulletin, 2019, vol. 2, pp. 72–79. (In Russian)
Sobański M., Zacharzewska-Gondek A., Waliszewska-Prosół M., Sąsiadek M. J., Zimny A., Bladowska J. A Review of Neuroimaging in Rare Neurodegenerative Diseases. Dement. Geriatr. Cogn. Disord.,2021, pp. 1–13.
Shim Y. S., Shin H.-E. Impact of the ambulatory blood pressure monitoring profile on cognitive and imaging findings of cerebral small-vessel disease in older adults with cognitive complaints. J. Hum. Hypertens., 2021. https://doi.org/10.1038/s41371-021-00490-y
Gaikova O. N., Trofimova T. N., Onishenko L. S., Dmitriev O. V., Emelin A. Yu., Zueva O. V., Lobzin V. Yu., Dergacheva E. A. Morphological specificities of brain cortex neurons in alzheimer’s type dementia and vascular dementia. Military Medical Academy named after Kirov Bulletin, 2012, vol. 3,no. 39, pp. 193–200.
Damulim I. V., Ekusheva E. V. Dementia due to cerebral small vessel damage: Current ideas on its pathogenesis and therapy. Neurology, Neuropsychiatry, Psychosomatics, 2014, vol. 6, no. 4, p. 94–100.
Grebennikov D. A., Sitnikov E. V., Anan’ev V. K. Differential diagnosis of brain atrophy and hydrocephaly.Zdravoohranenie Dal’nego Vostoka, 2017, vol. 2, no. 72, pp. 51–54.
Gao Y., Nie K., Huang B., Mei M., Guo M., Xie S., Huang Zh., Wang L., Zhao J., Zhang Yu., Lijuan Wang L. Changes of brain structure in Parkinson’s disease patients with mild cognitive impairment analyzed via VBM technology. Neurosci. Lett., 2017, vol. 658, pp. 121–132.
Greenberg S. M., Vernooij M. W., Cordonnier C., Viswanathan A., Salman R. A.-S., Warach S., Launer L. J., Van Buchem M. A., Breteler M. Mb., Microbleed Study Group. Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol., 2009, vol. 8, pp. 165–174.
Martinez-Ramirez S., Greenberg S. M., Viswanathan A. Cerebral microbleeds: overview and implications in cognitive impairment. Alzheimer Res. Ther., 2014, vol. 6, no. 3, p. 33.
Poels M. M. F., Ikram M. A., van der Lugt A., Hofman A., Niessen W. J., Krestin G. P., Breteler M. M. B., Vernooij M. W. Cerebral microbleeds are associated with worse cognitive function. Neurology, 2012, vol. 78, no. 5, pp. 326–333.
Potter G. M., Doubal F. N., Jackson C. A., Chappell F. M., Sudlow C. L., Dennis M. S., Wardlaw J. M. Enlarged perivascular spaces and cerebral small vessel disease. Int. J. Stroke, 2015, vol. 10, no. 3, pp. 376–381.
Álvarez-Linera Prado J. , Jiménez-Huete A. Neuroimaging in dementia. Clinical-radiological correlation. Radiologia (Engl. Ed.), 2019, vol. 61, no. 1, pp. 66–81.
Akhmetzianov B. M.The role of blood and cycyrous disorders in brain damage caused bt cerebral microangiopathy:PhD in medicine Diss. Moscow, 2019. 152 p. (In Russian)
Cuadrado-Godia E., Dwivedi P., Sharma S., Santiago A. O., Gonzalez J. R., Balcells M., Laird J., Turk M., Suri H. S., Nicolaides A., Saba L., Khanna N. N., Suri J. S. Cerebral Small Vessel disease: A review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies. J. of Stroke, 2018, vol. 20,no. 3, pp. 302–320.
Sharma R., Dearaugo S., Infeld B., O’Sullivan R., Gerraty R. P. Cerebral amyloid angiopathy: review of clinico-radiological features and mimics. J. Med. Imaging Radiat. Oncol., 2018, vol. 62, no.4, pp. 451–463.
Litvinenko I. V, Emelin A. Yu., Lobzin V. Yu., Kolmakova K. A. Neuroimaging techniques for diagnosing Alzheimer’s disease and cerebrovascular diseases with cognitive impairment. Neurology, Neuropsychiatry, Psychosomatics, 2019, vol. 11, no. 3, pp. 18–25. (In Russian)
Loos C. M. J., Makin S. D. J., Staals J., Dennis M. S., van Oostenbrugge R. J., Wardlaw J. M. Long-Term Morphological Changes of Symptomatic Lacunar Infarcts and Surrounding White Matter on Structural Magnetic Resonance Imaging. Stroke, 2018, vol. 49, no. 5, pp. 1183–1188.
Gatti L., Tinelli F., Scelzo E., Arioli F., Di Fede G., Obici L., Pantoni L., Giaccone G., Caroppo P., Parati E. A., Bersano A. Understanding the Pathophysiology of Cerebral Amyloid Angiopathy. Int. J. Mol. Sci., 2020, vol. 21, no. 10, p. 3435.
Wiegertjes K., Ter Telgte A., Oliveira P. B., van Leijsen E. M. C., Bergkamp M. I., van Uden I. W. M., Ghafoorian M., van der Holst H. M., Norris D. G., Platel B., Klijn C. J. M., Tuladhar A. M., de Leeuw F.-E. The role of small diffusion-weighted imaging lesions in cerebral small vessel disease. Neurology, 2019, vol. 93, no. 17, pp. 1627–1634.
McCunn P., Richardson J. D., Jetly R., Dunkley B. Diffusion Tensor Imaging Reveals White Matter Differences in Military Personnel Exposed to Trauma with and without Post-traumatic Stress Disorder.Psychiatry Res., 2021, vol. 298, p. 113797.
Liu C., Zou L., Tang X., Zhu W., Zhang G., Qin Y., Zhu W. Changes of white matter integrity and structural network connectivity in nondemented cerebral small-vessel disease. J. Magn. Reson. Imag., 2020, vol. 51, no. 4, pp. 1162–1169.
Gnedovslaya E. V., Dobrynina L. A., Krotenkova M. V., Sergeeva M. V. MRI in the assessment of cerebral small vessel disease. Annals of Clinical and Experimental Neurology, 2018, vol. 12, no. 1, pp. 61–68. (In Russian)
Viviano R. P., Hayes J. M., Pruitt P. J., Fernandez Z. J., van Rooden S., van der Grond J., Rombouts S. A. R. B., Damoiseaux J. S. Aberrant memory system connectivity and working memory performance in subjective cognitive decline. Neuroimage, 2018, vol. 185, pp. 556–564.
Levashkina I. M., Serebryakova S. V., Tikhomirova O. V., Kitaigorodskaya E. V. Threshold fraction anisotropy level and vascular dementia prediction for subjects with diagnosed encephalopathy. Diagnostic Radiology and Radiotherapy, 2019, vol. 2, pp. 59–65.
Trufanov G. E., Levashkina I. M., Serebryakova S. V. “Universal fractional anisotropy indexes as a method for vascular dementia early diagnosis (measured in frontal and temporal lobes’ neocortex)”. Patent for Invention №2020125961/14(045376), 29.07.2020. Russian Federation, 2020.
Levashkina I. M., Serebryakova S. V., Kozhevnikova V. V., Aleksanin S. S. Diffusion Tensor MRI potential for integrated assessment of Chernobyl accident liquidators’ cognitive disorders at the remote period (correlation between clinical and radiological findings). Medico-Biological and Socio-Psychological Problems of Safety in Emergency Situations, 2017, vol. 4, pp. 13–19.
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Published
2021-06-16
How to Cite
Levashkina, I., Serebryakova , S. ., & Kitaigorodskaya , E. . (2021). Vascular dementia neurovisual markers according routine and diffusion-tensor MRI (publications’ review). Vestnik of Saint Petersburg University. Medicine, 16(2), 116–128. https://doi.org/10.21638/spbu11.2021.205
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Diagnostic radiology, therapy radiology
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Articles of "Vestnik of Saint Petersburg University. Medicine" are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.
