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Review
. 2022 Apr 28;11(9):2473.
doi: 10.3390/jcm11092473.

Neuroimaging Techniques as Potential Tools for Assessment of Angiogenesis and Neuroplasticity Processes after Stroke and Their Clinical Implications for Rehabilitation and Stroke Recovery Prognosis

Lidia Włodarczyk  1 , Natalia Cichon  2 , Joanna Saluk-Bijak  3 , Michal Bijak  2 , Agata Majos  4 , Elzbieta Miller  1
Affiliations
Review

Neuroimaging Techniques as Potential Tools for Assessment of Angiogenesis and Neuroplasticity Processes after Stroke and Their Clinical Implications for Rehabilitation and Stroke Recovery Prognosis

Lidia Włodarczyk et al. J Clin Med. .

Abstract

Stroke as the most frequent cause of disability is a challenge for the healthcare system as well as an important socio-economic issue. Therefore, there are currently a lot of studies dedicated to stroke recovery. Stroke recovery processes include angiogenesis and neuroplasticity and advances in neuroimaging techniques may provide indirect description of this action and become quantifiable indicators of these processes as well as responses to the therapeutical interventions. This means that neuroimaging and neurophysiological methods can be used as biomarkers-to make a prognosis of the course of stroke recovery and define patients with great potential of improvement after treatment. This approach is most likely to lead to novel rehabilitation strategies based on categorizing individuals for personalized treatment. In this review article, we introduce neuroimaging techniques dedicated to stroke recovery analysis with reference to angiogenesis and neuroplasticity processes. The most beneficial for personalized rehabilitation are multimodal panels of stroke recovery biomarkers, including neuroimaging and neurophysiological, genetic-molecular and clinical scales.

Keywords: angiogenesis; neuroimaging; neuroplasticity; neurorehabilitation; recovery; stroke.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Roles of stroke biomarkers.
Figure 2
Figure 2
Classification of neuroimaging methods; CT—computer tomography, EEG—electroencephalography, MEP—motor evoked potential, MRI—magnetic resonance imaging, MRS—magnetic spectroscopy, PET/SPECT—positron emission tomography/ single photon emission computed tomography.
See this image and copyright information in PMC

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