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1.
Neurosci Lett ; 584: 12-6, 2015 Jan 01.
Article in English | MEDLINE | ID: mdl-25451722

ABSTRACT

Neurodegeneration in dementia is mainly evaluated by assessing cerebral atrophy, while retinal neurodegeneration can be quantified in vivo using optical coherence tomography (OCT). We examined the association of retinal nerve fibre layer (RNFL) and ganglion cell-inner plexiform layer (GC-IPL) thinning with global and regional cerebral atrophy on magnetic resonance imaging (MRI). Malay participants aged 60-80 years from the Epidemiology of Dementia in Singapore Study underwent comprehensive examinations, including 3-Tesla cranial MRI. RNFL and GC-IPL thicknesses were obtained from spectral domain-OCT; and cerebral grey and white matter volumes were obtained from MRI scans using a validated segmentation tool. Linear regression models were constructed with adjustment for age and sex; and additionally for vascular risk factors and MRI markers including intracranial volume. 164 participants without glaucoma with gradable quality MRI and OCT scans were included for analysis. GC-IPL thinning was associated with reduction in total brain volume in the occipital (mean change in GC-IPL per standard deviation (SD) decrease in occipital lobe volume: -1.77 µm, 95% confidence interval (CI) -6.55 to 0.01 µm) and temporal lobes (mean change in GC-IPL per SD decrease in temporal lobe volume: -3.45 µm, 95%CI -5.40 to -1.49 µm) in multivariate adjusted models. In particular, GC-IPL thinning was primarily associated with grey matter volume, whereas no association was found with white matter changes. Retinal neuronal damage, as reflected by GC-IPL thinning, was independently associated with grey matter loss in the occipital and temporal lobes, suggesting that retinal OCT may provide insights for assessing neurodegeneration in the brain.


Subject(s)
Brain/pathology , Nerve Degeneration/pathology , Retina/pathology , Adult , Aged , Aged, 80 and over , Atrophy , Female , Gray Matter/pathology , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Nerve Fibers/pathology , Retinal Ganglion Cells/pathology , Tomography, Optical Coherence , White Matter/pathology
2.
Neurosci Lett ; 577: 95-100, 2014 Aug 08.
Article in English | MEDLINE | ID: mdl-24937268

ABSTRACT

Novel retinal imaging techniques have enabled the assessment of quantitative vascular parameters, which provide information on the microvasculature before the appearance of retinopathy signs. Advances in neuroimaging have revealed that cerebral microbleeds (CMB) - besides lacunar infarcts and white matter lesions (WML) - may be a novel marker of cerebral small vessel disease. We examine whether quantitative retinal vascular parameters are related to cerebral small vessel disease in a Chinese population. Participants from Epidemiology of Dementia in Singapore Study underwent comprehensive examinations, including 3-Tesla cranial magnetic resonance imaging and retinal-photography. Retinal vascular parameters (caliber, tortuosity, fractal dimension) were measured from photographs using a semi-automated computer-assisted program. Lacunar infarcts and CMB were visually graded. Total brain and WML volume were obtained using a validated segmentation tool. A total of 261 subjects were included, of whom 36 had lacunar infarcts, 29 had severe WML, and 83 had CMB. In age-sex-adjusted models, narrower retinal arteriolar caliber, wider venular caliber and smaller arteriolar fractal dimension were associated with presence of multiple CMB. In contrast, no association was found with lacunar infarcts and WML volume. After multivariate adjustments, associations of venular caliber, arteriolar fractal dimensions and arteriolar tortuosity with CMB remained statistically significant. In conclusion, subjects with early structural changes in retinal microvasculature were more likely to have CMBs, supporting hypothesis that CMB may be an early manifestation of cerebral small vessel disease.


Subject(s)
Cerebral Small Vessel Diseases/pathology , Microvessels/pathology , Retinal Vessels/pathology , Aged , Biomarkers , Brain/pathology , Brain Infarction/epidemiology , Brain Infarction/pathology , Cerebral Small Vessel Diseases/epidemiology , Female , Humans , Magnetic Resonance Imaging , Male , Risk Factors , White Matter/pathology
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