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Current research in the field of neuroimaging is focused on the possibilities of using data from various diffusion MR models: diffusion tensor visualization (DTI), diffusion-curtosis visualization (DKI), diffusion-spectral visualization (DSI), generalized q-sample visualization (GQI), Q-ball visualization (QBI) in the assessment reorganization of the brain. The purpose of this study is to compare the results of dynamic observation of post–stroke brain reorganization by diffusion MR models (DTI, DKI). Material and methods. Dynamic MR examination of the brain of 129 patients was performed on a Ingenia 3.0 T (Philips, Netherlands) on 1–3 days, 7–10 days, 3–4 months after the manifestation of stroke according to a routine protocol (DWI-EPI, FLAIR-SPIR, T2-WI, T1W-TFE) with DTI method. The stroke was verified and DTI, GQI, and DKI maps were built. Results and discussion It was showed that the fractional anisotropy (FA) of DTI significantly changed from 1–3 days to 7–10 days in the stroke area; the mean, axial and radial diffusions increased in the affected area over the three studies. For DKI model – the curtosis FA significantly changed in the lesion area by 3–4 months; the mean curtosis decreased by the second observation in the stroke area, axial curtosis decreased in the same area throughout all studies; radial kurtosis significantly increased in the affected area throughout the study. The results confirm the world data and also indicate that diffusion metrics can interpret the neuroplasticity of the brain in various diseases, however, this requires further study. The applied diffusion models indicated the reorganization of the ischemic area and the intact contralateral area. The use of diffusion models for the dynamic assessment is a promising direction in the study of the neuroplasticity mechanisms.
Current research in the field of neuroimaging is focused on the possibilities of using data from various diffusion MR models: diffusion tensor visualization (DTI), diffusion-curtosis visualization (DKI), diffusion-spectral visualization (DSI), generalized q-sample visualization (GQI), Q-ball visualization (QBI) in the assessment reorganization of the brain. The purpose of this study is to compare the results of dynamic observation of post–stroke brain reorganization by diffusion MR models (DTI, DKI). Material and methods. Dynamic MR examination of the brain of 129 patients was performed on a Ingenia 3.0 T (Philips, Netherlands) on 1–3 days, 7–10 days, 3–4 months after the manifestation of stroke according to a routine protocol (DWI-EPI, FLAIR-SPIR, T2-WI, T1W-TFE) with DTI method. The stroke was verified and DTI, GQI, and DKI maps were built. Results and discussion It was showed that the fractional anisotropy (FA) of DTI significantly changed from 1–3 days to 7–10 days in the stroke area; the mean, axial and radial diffusions increased in the affected area over the three studies. For DKI model – the curtosis FA significantly changed in the lesion area by 3–4 months; the mean curtosis decreased by the second observation in the stroke area, axial curtosis decreased in the same area throughout all studies; radial kurtosis significantly increased in the affected area throughout the study. The results confirm the world data and also indicate that diffusion metrics can interpret the neuroplasticity of the brain in various diseases, however, this requires further study. The applied diffusion models indicated the reorganization of the ischemic area and the intact contralateral area. The use of diffusion models for the dynamic assessment is a promising direction in the study of the neuroplasticity mechanisms.
Aims: As individuals age, there is a known decline in visual function attributed to a reduction in the optic nerve fibers and myelin sheath degeneration. Studies present conflicting findings on whether aging affects axonal integrity in the human optic nerve. This study aims to investigate degenerative changes in the aging rat optic nerve. Methods: The investigation involved 36 Wistar albino rats. The rats were divided into six groups: the newborn, prepubertal, pubertal, junior, adult, and elderly groups. This study investigated optic nerve axon counts, axon diameters, levels of glial fibrillary acidic protein immunoreactivity (GFAP-IR) and nerve growth factor immunoreactivity (NGF-IR), as well as findings from light microscopy (LM) and electron microscopy (EM) in these groups. Results: This study observed age-related alterations in rat optic nerves, including increased diameter, irregular axon count fluctuations (both increases and decreases), elevated astrocyte count, and a simultaneous decline in oligodendrocyte count. Additionally, it was observed that NGF-IR was predominantly at the membrane level in newborns and moderately in the cytoplasm, whereas in older ages, it was evident at both cellular and axonal levels furthermore, it was observed that GFAP-IR increased with age. However, in LM and EM examinations, axonal loss and rarefaction, accumulation of osmiophilic substances, splitting of the myelin sheath, vacuolization, axonal retraction were observed. Conclusion: In this study, it was found that one of the causes of age-related vision loss is the advanced degenerative changes in the optic nerve and it was concluded that the remaining small-diameter myelinated nerve fibers may partially compensate for the sense of vision. Our study reveals that age-related degenerative changes in the central nervous system resemble those in multiple sclerosis (MS), suggesting a potential contribution to MS pathogenesis.
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