35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The attenuation of retinal nerve fiber layer thickness and cognitive deterioration

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Thinner retinal nerve fiber layer (RNFL) has been reported in Alzheimer’s disease (AD) patient. However, whether changes in RNFL thickness can predict the cognitive deterioration remains unknown. We therefore set out a prospective clinical investigation to determine the potential association between the attenuation of RNFL thickness and the deterioration of cognitive function over a period of 25 months. We assessed cognitive function using the Repeatable Battery for the Assessment of Neuropsychological Status and measured RNFL thickness employing optical coherence tomography in 78 participants (mean age 72.31 ± 3.98 years, 52% men). The participants were categorized as stable participants whose cognitive status remained no change ( N = 60) and converted participants whose cognitive status deteriorated ( N = 18). We found that there was an association between the attenuation of superior quadrant RNFL thickness and the deterioration of cognitive function in the stable participants. In the converted participants, however, there was an inverse association between the reduction of inferior quadrant RNFL thickness and decline of cognitive functions [scores of list recall ( R = -0.670, P = 0.002), adjusted ( R = -0.493, P = 0.031)]. These data showed that less reduction in the inferior quadrant of RNFL thickness might indicate a higher risk for the patients to develop cognitive deterioration. These findings have established a system to embark a larger scale study to further test whether changes in RNFL thickness can serve as a biomarker of AD, and would lead to mechanistic studies to determine the cellular mechanisms of cognitive deterioration.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging.

          Differences in grading signal hyperintensities on magnetic resonance imaging may explain earlier reported conflicting results in studies of normal aging and dementia. We designed a new rating scale in which periventricular and white matter signal hyperintensities as well as basal ganglia and infratentorial signal hyperintensities are rated separately in a semiquantative way. In this study we compared the inter- and intra-observer agreements of this scale to the widely used rating scale of Fazekas. We confirmed the poor to reasonable intra- and inter-observer agreements of the Fazekas scale. The new scale, although more elaborate, provided good agreements with respect to the white matter, basal ganglia and infratentorial signal hyperintensities. In rating periventricular hyperintensities this scale yielded no advantage. It is concluded that this scale may be of use in studies especially focussing on deep white matter pathology on MRI, because it provides more detailed information, with good intra- and inter-observer reliability.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Quantitative analysis of a vulnerable subset of pyramidal neurons in Alzheimer's disease: II. Primary and secondary visual cortex.

            In this study we investigated the primary and secondary visual areas of normal and Alzheimer's disease brains by using the SMI32 antibody. It is known that in Alzheimer's disease primary sensory areas are usually less devastated than association cortices, although visual symptomatology has been documented early in the course of the disease. In area 17, the SMI32 antibody primarily labeled the perikarya and dentritic tree of the large Meynert cells and cells in layer IVB. Smaller neurons in layers III, V, and VI were also immunoreactive (ir). In area 18, very large SMI32-ir pyramidal neurons in layers III and V were observed. In both areas, staining intensity was correlated with cell size, the largest neurons being the most intensely stained. Only a few changes were observed in the Alzheimer's disease cases. The only statistically significant differences in SMI32-ir neuron counts between control and Alzheimer's disease brains occurred in layer IVB cells and Meynert cells in area 17, and in layer III cells in area 18. In contrast with association cortices, there were no changes in staining intensity in the visual areas. There were fewer neurofibrillary tangles and neuritic plaques in these areas than in prefrontal and inferior temporal cortex, and a correlation between neurofibrillary tangle counts and SMI32-ir neuron loss was only observed in layer III of area 18. These observations show that in the primary and secondary visual cortex, SMI32 also labeled a distinct subset of pyramidal cells that are known from data obtained in the monkey brain to furnish long corticocortical as well as subcortical projections. Interestingly, although there is much less cell and/or neurofibrillary tangle formation in these occipital regions than in prefrontal and temporal association areas, there is significant loss within key subsets of pyramidal cells. The selective loss of this particular subpopulation of pyramidal neurons will disrupt association pathways linking primary visual cortex with areas involved in higher level visual processing. The partial disconnection of such pathways may be relevant to the visual symptomatology frequently observed in Alzheimer's disease patients. These data further support the hypothesis that subtypes of pyramidal neurons with specific anatomical and molecular profiles may display a differential vulnerability in Alzheimer's disease.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Relationship between retinal nerve fiber layer measurement and signal strength in optical coherence tomography.

              To examine the relationship between signal strength and retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT). Observational cross-sectional study. Forty normal subjects were recruited. Retinal nerve fiber layer (RNFL) thickness was measured by Stratus OCT (Carl Zeiss Meditec, Dublin, CA). In each eye, the focusing knob was adjusted to obtain 6 images with different signal strengths ranging from 5 to 10. The relationships between signal strength and RNFL thickness were examined using the Spearman correlation coefficient. The differences of RNFL thicknesses were compared with repeated-measures analysis of variance. Retinal nerve fiber layer thicknesses measured at different signal strengths. Significant differences were observed between measurements obtained at signal strength of 10 and those obtained with signal strength of less than 10 at the superior, nasal, and temporal clock hours. RNFL thickness generally increased with the signal strength, with significant correlations found with the total average, superior, and nasal clock hours RNFL thicknesses. Optical coherence tomography RNFL measurements vary significantly with signal strength. Obtaining the maximal possible signal strength is recommended for RNFL thickness measurement.
                Bookmark

                Author and article information

                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                19 September 2013
                2013
                : 7
                : 142
                Affiliations
                [1] 1Department of Psychiatry, Tenth People’s Hospital, Tongji University Shanghai, People’s Republic of China
                [2] 2Department of Psychiatry, Tongji Hospital, Tongji University Shanghai, People’s Republic of China
                [3] 3School of Medicine, Tongji University Shanghai, People’s Republic of China
                [4] 4Department of Biological Psychiatry, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University Shanghai, People’s Republic of China
                Author notes

                Edited by: Rena Li, Roskamp Institute, USA

                Reviewed by: Zhongcong Xie, Massachusetts General Hospital and Harvard Medical School, USA; Shaohua Yang, University of North Texas Health Science Center, USA

                *Correspondence: Yuan Shen, Department of Psychiatry, Tenth People’s Hospital, Tongji University, 301 Yanchang Road, Building 1, Room 4405, Shanghai 200072, People’s Republic of China e-mail: kmsharonshen@ 123456gmail.com ; Chunbo Li, Department of Biological Psychiatry, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, 600 Wan Ping Nan Road, Building 2, Room A-2318, Shanghai 200030, People’s Republic of China e-mail: chunbo_li@ 123456yahoo.com

                This article was submitted to the journal Frontiers in Cellular Neuroscience.

                Article
                10.3389/fncel.2013.00142
                3777215
                24065883
                87426314-282c-481f-b657-7d1205ab3c35
                Copyright © Shen, Shi, Jia, Zhu, Cheng, Feng and Li.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 July 2013
                : 15 August 2013
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 40, Pages: 7, Words: 0
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                biomarker,alzheimer’s disease,mild cognitive impairment,dementia,retinal nerve fiber layer thickness; cognition

                Comments

                Comment on this article