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Fractional Anisotropy White and Gray Matter of Brain in Acute Ischemic Strokeas a Marker of Neurological, Cognitive and Functional Status

Abstract

Aim. To study the fractional anisotropy of white and gray brain matter and its associations with clinical and instrumental data in acute ischemic stroke. Materials and methods. The parameters of fractional anisotropy of 10 areas of white and gray brain matter were analyzed in 30 acute ischemic stroke patients by diffusion-tensor imaging. The neurological (NIHSS), cognitive (MMSE), functional (Rivermead Mobility Index and Modified Rankin Scale) and some laboratory and instrumental data were assessed. Results. The fraction anisotropy was analyzed on the side of lesion and symmetrically. The decline of anisotropy was revealed in posterior limb of internal capsule on the side of stroke independently of the lesion location. Also the interactions between fraction anisotropy and stroke severity, global cognitive status and duration of hospital treatment were found. Conclusion. The obtained data may suggest that in acute period of stroke the neurodegeneration and neuroreparational ready start. It appears the changes of white and gray matter integrity. According to the concept “heart-vessels-brain” we received the data indicating the significance of vascular risk factors which lead to hypoperfusion and hypoxia in the development of microstructural changes. Some parameters of fractional anisotropy may predict clinical and functional outcome on discharge.

About the Authors

Viktor Evgenevich Drobakha
Perm State Medical University named after academican E.A. Wagner
Russian Federation


Alexey Aleksandrovich Kulesh
Perm State Medical University named after academican E.A. Wagner
Russian Federation


Vladimir Vasilevich Shestakov
Perm State Medical University named after academican E.A. Wagner
Russian Federation


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Review

For citations:


Drobakha V.E., Kulesh A.A., Shestakov V.V. Fractional Anisotropy White and Gray Matter of Brain in Acute Ischemic Strokeas a Marker of Neurological, Cognitive and Functional Status. Medical Visualization. 2015;(6):8-15. (In Russ.)

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)