Abstract
Purpose: The purpose of this study was to evaluate the macular and retinal nerve fiber layer (RNFL) thickness, and the electrical activity of the macula in patients with Alzheimer’s disease (AD). Material and methods: 30 patients with AD and 30 age and sex matched healthy controls were studied. The thickness and the electrical activity of the macula were evaluated by means of optical coherence tomography (OCT) and multifocal-electroretinogram (mf-ERG). Results: Visual acuity, as well as visual fields and colour vision testing of all patients were normal. However, the mean foveal thickness was 148.50 μm (vs 171.50 μm in the control group, p=0.001) and the RNFL thickness was 104.5 μm in the superior area (vs 123 μm in the control group, p<0.0001) and 116.5 μm in the inferior area (vs 138 μm in the control group, p<0.0001) around the optic nerve. The mean P1 response density amplitude of the foveal area was 146.50 nV/deg2 (vs 293 nV/deg2 in the control group, p<0.0001) and the perifoveal area was 56.60 nV/deg2 (vs 81.50nv/deg2 in the control group, p<0.001). Conclusion: Our study showed that in patients with AD, even without visual failure there was a decrease in macular and RNFL thickness, as well as a decrease of the electrical activity of the macula.
Keywords: Alzheimer, eye, impairment, mfERG, OCT, visual, cone photoreceptors cells, retinal cells.
Current Alzheimer Research
Title:Structural and Functional Impairment of the Retina and Optic Nerve in Alzheimer’s Disease
Volume: 9 Issue: 7
Author(s): Marilita M Moschos, Ioannis Markopoulos, Irini Chatziralli, Alexandros Rouvas, Sokratis G Papageorgiou, Ioannis Ladas and Dimitrios Vassilopoulos
Affiliation:
Keywords: Alzheimer, eye, impairment, mfERG, OCT, visual, cone photoreceptors cells, retinal cells.
Abstract: Purpose: The purpose of this study was to evaluate the macular and retinal nerve fiber layer (RNFL) thickness, and the electrical activity of the macula in patients with Alzheimer’s disease (AD). Material and methods: 30 patients with AD and 30 age and sex matched healthy controls were studied. The thickness and the electrical activity of the macula were evaluated by means of optical coherence tomography (OCT) and multifocal-electroretinogram (mf-ERG). Results: Visual acuity, as well as visual fields and colour vision testing of all patients were normal. However, the mean foveal thickness was 148.50 μm (vs 171.50 μm in the control group, p=0.001) and the RNFL thickness was 104.5 μm in the superior area (vs 123 μm in the control group, p<0.0001) and 116.5 μm in the inferior area (vs 138 μm in the control group, p<0.0001) around the optic nerve. The mean P1 response density amplitude of the foveal area was 146.50 nV/deg2 (vs 293 nV/deg2 in the control group, p<0.0001) and the perifoveal area was 56.60 nV/deg2 (vs 81.50nv/deg2 in the control group, p<0.001). Conclusion: Our study showed that in patients with AD, even without visual failure there was a decrease in macular and RNFL thickness, as well as a decrease of the electrical activity of the macula.
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M Moschos Marilita, Markopoulos Ioannis, Chatziralli Irini, Rouvas Alexandros, G Papageorgiou Sokratis, Ladas Ioannis and Vassilopoulos Dimitrios, Structural and Functional Impairment of the Retina and Optic Nerve in Alzheimer’s Disease, Current Alzheimer Research 2012; 9 (7) . https://dx.doi.org/10.2174/156720512802455340
DOI https://dx.doi.org/10.2174/156720512802455340 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
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Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
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Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
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