Characterization of the retinal changes of the 3×Tg-AD mouse model of Alzheimer’s disease

In this work, we imaged the retina of wild-type and triple-transgenic mice model of Alzheimer’s disease (AD) (3xTg-AD), at the ages of one and two months, by optical coherence tomography. Texture analysis of calculated fundus images, for the six most anterior layers of the retina, present widespread differences between groups, demonstrating that retinal changes in the animal model of AD are notorious across the neuroretina. These results and the consistency of data pave the way for the identification of texture biomarkers of disease onset and progression with potential application to the human retina.

[1]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[2]  R.M. Haralick,et al.  Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.

[3]  Mohan M. Trivedi,et al.  Segmentation of a high-resolution urban scene using texture operators , 1984, Comput. Vis. Graph. Image Process..

[4]  A. Parant [World population prospects]. , 1990, Futuribles.

[5]  C. Tsatsoulis,et al.  Texture representation of SAR sea ice imagery using multi-displacement co-occurrence matrices , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[6]  Leen-Kiat Soh,et al.  Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices , 1999, IEEE Trans. Geosci. Remote. Sens..

[7]  David A Clausi An analysis of co-occurrence texture statistics as a function of grey level quantization , 2002 .

[8]  Anke Meyer-Bäse Pattern recognition for medical imaging , 2003 .

[9]  M. Mattson,et al.  Triple-Transgenic Model of Alzheimer's Disease with Plaques and Tangles Intracellular Aβ and Synaptic Dysfunction , 2003, Neuron.

[10]  F. LaFerla,et al.  Amyloid deposition precedes tangle formation in a triple transgenic model of Alzheimer’s disease , 2003, Neurobiology of Aging.

[11]  J. C. Torre Is Alzheimer's disease a neurodegenerative or a vascular disorder? Data, dogma, and dialectics , 2004, The Lancet Neurology.

[12]  Gopi N. Maguluri,et al.  Monitoring mouse retinal degeneration with high-resolution spectral-domain optical coherence tomography. , 2008, Journal of vision.

[13]  C. Jack,et al.  Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease , 2009, Brain : a journal of neurology.

[14]  G. Elder,et al.  Transgenic mouse models of Alzheimer's disease. , 2010, The Mount Sinai journal of medicine, New York.

[15]  R. Dyck,et al.  Characterization of the 3xTg-AD mouse model of Alzheimer's disease: Part 2. Behavioral and cognitive changes , 2010, Brain Research.

[16]  M. Schwartz,et al.  The retina as a window to the brain—from eye research to CNS disorders , 2013, Nature Reviews Neurology.

[17]  S. Krantic,et al.  Retina: source of the earliest biomarkers for Alzheimer's disease? , 2014, Journal of Alzheimer's disease : JAD.

[18]  Rui Bernardes,et al.  Ocular fundus reference images from optical coherence tomography , 2014, Comput. Medical Imaging Graph..

[19]  Raphael Sznitman,et al.  Quantitative Analysis of Mouse Retinal Layers Using Automated Segmentation of Spectral Domain Optical Coherence Tomography Images. , 2015, Translational vision science & technology.

[20]  S. Svetozarskiy,et al.  Retinal Optical Coherence Tomography in Neurodegenerative Diseases (Review) , 2015 .

[21]  Zeyun Yu,et al.  State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis , 2014, Quantitative imaging in medicine and surgery.

[22]  K. Black,et al.  Ocular indicators of Alzheimer’s: exploring disease in the retina , 2016, Acta Neuropathologica.

[23]  M. Carrillo,et al.  Research priorities to reduce the global burden of dementia by 2025 , 2016, The Lancet Neurology.

[24]  T. Wong,et al.  Imaging retina to study dementia and stroke , 2017, Progress in Retinal and Eye Research.

[25]  Nassir Navab,et al.  ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network , 2017, Biomedical optics express.

[26]  Pedro Serranho,et al.  Retinal Biomarkers of Alzheimer's Disease: Insights from Transgenic Mouse Models , 2017, ICIAR.

[27]  C. Jack,et al.  Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers , 2017, The Lancet Neurology.

[28]  P. Visser,et al.  Retinal thickness in Alzheimer's disease: A systematic review and meta-analysis , 2017, Alzheimer's & dementia.

[29]  P. Doraiswamy,et al.  Controversies and Future Directions of Ocular Biomarkers in Alzheimer Disease. , 2018, JAMA neurology.

[30]  Rui Bernardes,et al.  [Regular Paper] Texture Biomarkers of Alzheimer's Disease and Disease Progression in the Mouse Retina , 2018, 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE).

[31]  T. Wong,et al.  Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis. , 2019, Ophthalmology.

[32]  Marco Augustin,et al.  Revealing brain pathologies with multimodal visible light optical coherence microscopy and fluorescence imaging , 2019, Journal of biomedical optics.

[33]  M. Castelo‐Branco,et al.  Retinal texture biomarkers may help to discriminate between Alzheimer’s, Parkinson’s, and healthy controls , 2019, PloS one.

[34]  S. Dissanayake,et al.  Impact of a local, coastal community based management regime when defining marine protected areas: Empirical results from a study in Okinawa, Japan , 2019, PloS one.