Experimental digital atlas of blood supply zones of the internal carotid artery

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Abstract

Background: The compilation of a neuroanatomic atlas based on a large sample is essentially a fundamental research work, but compiling a digital atlas during the epoch of wide usage of radiodiagnostics methods in the clinical and experimental practice along with using the artificial intelligence systems brings a significant applied relevance to the research. Rats are the main species of laboratory animals, in which the studies of modeling the ischemic stroke, of testing the cerebroprotective drugs and of developing new strategies of regenerative therapy of stroke consequences are carried out. At the present moment, there is no available and comprehensive digital atlas of the arterial blood supply of the rat brain, while single research works are based on small groups of animals and their histological description. Within this context, it is deemed very interesting and important to take the first step in addressing this issue. AIM: to compile an atlas of blood supply zones within the intracranial branches of the internal carotid artery in the settings of experimentally induced occlusion of the medial cerebral artery. METHODS: The archived data were used from the magnetic resonance imaging scans in rats with modeling the transient occlusion of the medial cerebral artery with a monofilament (n=243). The system of automatic brain segmentation based on artificial intelligence was used for objective mapping of the cerebral infarction area, the obtained data were added to a single coordinate space, unified and analyzed for highlighting the arterial blood supply zones. RESULTS: A digital atlas of the arterial circulation was compiled based on the intravitam data of high-resolution magnetic resonance imaging with an isotropic voxel. CONCLUSION: The compiled atlas may be used for increasing the quality of modeling the cerebral infarction by means of transient occlusion of the medial cerebral artery with a monofilament and it allows for using the additional objective parameters in the evaluation of the treatment effects in cases of experimentally induced ischemic stroke. The methodology developed by us is applicable for high-performance retrospective analysis of the neurovisualization data from the ischemic stroke patients, obtained within a framework of the implementation of the Vascular Medicine Program in the Russian Federation.

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About the authors

Ilya L. Gubskiy

Federal Center of Brain Research and Neurotechnologies; The Russian National Research Medical University named after N.I. Pirogov

Author for correspondence.
Email: gubskiy.ilya@gmail.com
ORCID iD: 0000-0003-1726-6801
SPIN-code: 9181-3091

MD, PhD

Russian Federation, 1 Ostrovityanova st, build 10, Moscow, 117513; Moscow

Daria D. Namestnikova

Federal Center of Brain Research and Neurotechnologies; The Russian National Research Medical University named after N.I. Pirogov

Email: dadnam89@gmai.com
ORCID iD: 0000-0001-6635-511X
SPIN-code: 1576-1860

MD, PhD

Russian Federation, 1 Ostrovityanova st, build 10, Moscow, 117513; Moscow

Elvira A. Cherkashova

Federal Center of Brain Research and Neurotechnologies; The Russian National Research Medical University named after N.I. Pirogov

Email: tchere@yandex.ru
ORCID iD: 0000-0001-9549-9104
SPIN-code: 3735-3277

MD, PhD

Russian Federation, 1 Ostrovityanova st, build 10, Moscow, 117513; Moscow

Ivan S. Gumin

Federal Center of Brain Research and Neurotechnologies

Email: ivangumin@mail.ru
ORCID iD: 0000-0003-2360-3261
SPIN-code: 3454-2665
Scopus Author ID: 57223430019

MD

Russian Federation, 1 Ostrovityanova st, build 10, Moscow, 117513

Leonid V. Gubsky

Federal Center of Brain Research and Neurotechnologies; The Russian National Research Medical University named after N.I. Pirogov

Email: gubskii@mail.ru
ORCID iD: 0000-0002-7423-1229

MD, PhD, Professor

Russian Federation, Moscow; Moscow

Vladimir P. Baklaushev

Federal Center of Brain Research and Neurotechnologies; The Russian National Research Medical University named after N.I. Pirogov

Email: baklaushev.vp@fnkc-fmba.ru
ORCID iD: 0000-0003-1039-4245
SPIN-code: 3968-2971

MD, PhD, Assistant Professor

Russian Federation, Moscow; Moscow

Vladimir P. Chekhonin

The Russian National Research Medical University named after N.I. Pirogov; V. Serbsky National Medical Research Centre of Psychiatry and Narcology

Email: chekhoninnew@yandex.ru
ORCID iD: 0000-0003-4386-7897
SPIN-code: 8292-2807

MD, PhD, Professor, member of the Russian Academy of Sciences

Russian Federation, Moscow; Moscow

Konstantin N. Yarygin

Institute of Biomedical Chemistry; Russian Medical Academy of Continuous Professional Education

Email: kyarygin@yandex.ru
ORCID iD: 0000-0002-2261-851X
SPIN-code: 7567-1230

PhD, Professor

Russian Federation, Moscow; Moscow

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2. Fig. 1. An example of cerebral infarction segmentation using artificial intelligence: a — T2-weighted images in the axial, frontal and sagittal planes (from left to right), in which a hyperintense lesion of cerebral infarction is visualized in the right hemisphere; b — automatic segmentation of the lesion of cerebral infarction (marked in red).

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3. Fig. 2. Frequency of location of the cerebral infarction focus in experimental animals with a model of temporary occlusion of the right middle cerebral artery (obtained by summing up all cerebral infarction foci in one coordinate space): a — template of the intact brain, to which the data were recorded (given for reference); b — frequency of location of the cerebral infarction focus: the warmer the color, the more often this part of the brain was affected (a color scale is given indicating the correspondence of the color and the number of averaged values).

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4. Fig. 3. The pattern of origination of the intracranial branches of the internal carotid artery and the compiled atlas of their blood supply zones: а — the chart showing the origination of the intracranial branches of the internal carotid artery (compiled based on the data obtained by Z. He et al. [7]); b — sequential slices in the axial plane with the location of blood supply zones in them (green color marks the zone of the cortical branches of the medial cerebral artery, yellow — the zone of the medial cerebral artery, supplying the subcortical area, red — the zone of anterior choroid artery, blue — the zone of hypothalamic arteries); c — three-dimensional reconstruction of the atlas of blood supply zones for the intracranial branches of the internal carotid artery (color marking identical to point “b”). ICA — internal carotid artery; PCA — posterior cerebral artery; MCA — median cerebral artery; AChA — anterior choroid artery; HTA — hypothalamic arteries.

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