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  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 流行病學與預防醫學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77047
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dc.contributor.advisor程蘊菁(Yen-Ching Chen)
dc.contributor.authorTing-Yu Wuen
dc.contributor.author吳廷郁zh_TW
dc.date.accessioned2021-07-10T21:44:36Z-
dc.date.available2021-07-10T21:44:36Z-
dc.date.issued2020
dc.date.submitted2020-07-24
dc.identifier.citation1. WHO, W.H.O. Dementia. 2019; Available from: https://www.who.int/health-topics/dementia - tab=tab_1. Access Date: June 18, 2020
2. Schneider, J.A., et al., Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology, 2007. 69(24): p. 2197-2204.
3. Honig, L.S., W. Kukull, and R. Mayeux, Atherosclerosis and AD: analysis of data from the US National Alzheimer's Coordinating Center. Neurology, 2005. 64(3): p. 494-500.
4. Kalaria, R.N., Neuropathological diagnosis of vascular cognitive impairment and vascular dementia with implications for Alzheimer's disease. Acta Neuropathol, 2016. 131(5): p. 659-685.
5. Azarpazhooh, M.R., et al., Concomitant vascular and neurodegenerative pathologies double the risk of dementia. Alzheimers Dement, 2018. 14(2): p. 148-156.
6. Hachinski, V., et al., Preventing dementia by preventing stroke: The Berlin Manifesto. Alzheimers Dement, 2019. 15(7): p. 961-984.
7. Patton, N., et al., Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures. J Anat, 2005. 206(4): p. 319-348.
8. Chiquita, S., et al., The Retina as a Window or Mirror of the Brain Changes Detected in Alzheimer's Disease: Critical Aspects to Unravel. Mol Neurobiol, 2019. 56(8): p. 5416-5435.
9. Cheung, C.Y., et al., Quantitative and qualitative retinal microvascular characteristics and blood pressure. Journal of Hypertension, 2011. 29(7): p. 1380-1391.
10. Doubal, F.N., et al., Fractal analysis of retinal vessels suggests that a distinct vasculopathy causes lacunar stroke. Neurology, 2010. 74(14): p. 1102-1107.
11. Liew, G., et al., Fractal analysis of retinal microvasculature and coronary heart disease mortality. European Heart Journal, 2011. 32(4): p. 422-429.
12. Wang, S.B., et al., A spectrum of retinal vasculature measures and coronary artery disease. Atherosclerosis, 2018. 268: p. 215-224.
13. Liew, G., et al., The retinal vasculature as a fractal: methodology, reliability, and relationship to blood pressure. Ophthalmology, 2008. 115(11): p. 1951-1956.
14. McGrory, S., et al., Retinal microvasculature and cerebral small vessel disease in the Lothian Birth Cohort 1936 and Mild Stroke Study. Sci Rep, 2019. 9(1): p. 6320.
15. Cavallari, M., et al., Fractal analysis reveals reduced complexity of retinal vessels in CADASIL. PLoS ONE, 2011. 6(4): p. e19150.
16. Taylor, A.M., et al., Retinal vascular fractal dimension, childhood IQ, and cognitive ability in old age: the Lothian Birth Cohort Study 1936. PLoS One, 2015. 10(3): p. e0121119.
17. Lopes, R. and N. Betrouni, Fractal and multifractal analysis: a review. Med Image Anal, 2009. 13(4): p. 634-649.
18. Thomas, G.N., et al., Measurement of macular fractal dimension using a computer-assisted program. Invest Ophthalmol Vis Sci, 2014. 55(4): p. 2237-2243.
19. Azemin, C.M.Z., et al., Age-related rarefaction in retinal vasculature is not linear. Experimental Eye Research, 2013. 116: p. 355-358.
20. Azemin, C.M.Z., et al., Age-related rarefaction in the fractal dimension of retinal vessel. Neurobiol Aging, 2012. 33(1): p. 194 e1-4.
21. Sng, C.C.A., et al., Fractal analysis of the retinal vasculature and chronic kidney disease. Nephrology Dialysis Transplantation, 2010. 25(7): p. 2252-2258.
22. Cheung, C.Y.L., et al., Microvascular network alterations in the retina of patients with Alzheimer's disease. Alzheimer's and Dementia, 2014. 10(2): p. 135-142.
23. Williams, M.A., et al., Retinal microvascular network attenuation in Alzheimer's disease. Alzheimers Dement (Amst), 2015. 1(2): p. 229-235.
24. Jung, N.Y., et al., Retinal microvasculature changes in amyloid-negative subcortical vascular cognitive impairment compared to amyloid-positive Alzheimer's disease. J Neurol Sci, 2019. 396: p. 94-101.
25. Frost, S., et al., Retinal vascular biomarkers for early detection and monitoring of Alzheimer's disease. Transl Psychiatry, 2013. 3: p. e233.
26. Cheung, C.Y.L., et al., Retinal vascular fractal dimension is associated with cognitive dysfunction. Journal of Stroke and Cerebrovascular Diseases, 2014. 23(1): p. 43-50.
27. Ong, Y.T., et al., Retinal vascular fractals and cognitive impairment. Dement Geriatr Cogn Dis Extra, 2014. 4(2): p. 305-313.
28. Livingston, G., et al., Dementia prevention, intervention, and care. The Lancet, 2017. 390(10113): p. 2673-2734.
29. Naidu, V.V., et al., Associations between Retinal Markers of Microvascular Disease and Cognitive Impairment in Newly Diagnosed Type 2 Diabetes Mellitus: A Case Control Study. PLoS One, 2016. 11(1): p. e0147160.
30. McGrory, S., et al., Retinal microvascular network geometry and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort 1936 study. Br J Ophthalmol, 2017. 101(7): p. 993-998.
31. Coye, T., A novel retinal blood vessel segmentation algorithm for fundus images (http://www.mathworks.com/matlabcentral/fileexchange/50839). MATLAB Central File Exchange., 2015. Access Date: May 13, 2019
32. Choi, S., et al., Association of Age-Related Macular Degeneration on Alzheimer or Parkinson Disease: A Retrospective Cohort Study. Am J Ophthalmol, 2020. 210: p. 41-47.
33. Tsai, D.C., et al., Age-Related Macular Degeneration and Risk of Degenerative Dementia among the Elderly in Taiwan: A Population-Based Cohort Study. Ophthalmology, 2015. 122(11): p. 2327-2335.
34. Gori, A.M., et al., Impaired fibrinolysis in retinal vein occlusion: a role for genetic determinants of PAI-1 levels. Thromb Haemost, 2004. 92(1): p. 54-60.
35. Oh, J., et al., Plasminogen activator inhibitor-1 as an early potential diagnostic marker for Alzheimer's disease. Exp Gerontol, 2014. 60: p. 87-91.
36. Wallin, A., et al., Update on Vascular Cognitive Impairment Associated with Subcortical Small-Vessel Disease. J Alzheimers Dis, 2018. 62(3): p. 1417-1441.
37. Jokinen, H., et al., Longitudinal cognitive decline in subcortical ischemic vascular disease--the LADIS Study. Cerebrovasc Dis, 2009. 27(4): p. 384-391.
38. Pedersen, K.B., R. Broe, and J. Grauslund, Inter-Eye Agreement in Measurement of Retinal Vascular Fractal Dimension in Patients with Type 1 Diabetes Mellitus. Ophthalmic Epidemiol, 2016. 23(2): p. 131-5.
39. Liu, G., K. Keyal, and F. Wang, Interocular Symmetry of Vascular Density and Association with Central Macular Thickness of Healthy Adults by Optical Coherence Tomography Angiography. Scientific Reports, 2017. 7(1): p. 16297.
40. Li, H., et al., Lens opacity and refractive influences on the measurement of retinal vascular fractal dimension. Acta Ophthalmol, 2010. 88(6): p. e234-240.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77047-
dc.description.abstract研究背景:在認知功能異常,包含輕度認知功能障礙及失智症的病理機轉中,腦部血管因素的角色愈趨重要。因為生理及結構上的相似性,視網膜血管的型態可以反映腦部血管的狀態。視網膜血管碎形維度是視網膜血管的複雜程度的指標,代表著視網膜血管的整體狀態。視網膜的血管型態是否可以因為反映了腦部的血管狀態而和認知功能有關係缺乏一致性、長期追蹤的證據。本研究即為探討在社區老人之中,視網膜血管碎形維度和認知功能異常的關係。
研究方法:本研究為台灣老年流行病學研究世代追蹤的一部份(2011年迄今),收案對象為參加台大醫院年度老人健檢、年齡65歲以上之老年人,並於四年追蹤(2015-2017)時完成眼睛的眼底照相,收集四年及六年追蹤(2017-2019)時詳細的認知功能評估,包括整體認知功能評估(使用台灣版蒙特利爾認知評估)及不同認知領域之功能的評估。
本研究將視網膜血管碎形維度分作連續變項及三切後以最小三分之一與否這兩種形式納入回歸分析。認知功能首先以六年及四年追蹤時的分數差做線性迴歸分析;再以兩年的追蹤後下降與否做羅吉斯回歸分析。經調整重要的變數之後,探討視網膜血管碎形維度與認知功能之間的相關性。
研究結果:總共有177位受試者納入分析。其中右眼視網膜血管碎形維度較低的三分之一者,和其他三分之二相比,邏輯記憶測試-主題二在追蹤兩年後下降的機會顯著上升(勝算比=2.35, 95%信賴區間=1.09-5.04)。右眼視網膜血管碎形維度每下降0.1單位,兩年後邏輯記憶測試-回憶一下降的機會顯著上升(勝算比=2.76, 95%信賴區間=1.03-7.38)。而左眼視網膜血管碎形維度較低的三分之一者,和其他三分之二相比,執行功能(路徑描繪測驗A)在追蹤兩年後下降的機會顯著上升(勝算比=2.87, 95%信賴區間= 1.24-6.65)。
結論:視網膜血管碎形維度可能可以做為認知功能異常臨床前期的早期指標。
zh_TW
dc.description.abstractBackground: Cerebral vascular factor plays an important role in the pathogenesis of cognitive dysfunction, including mild cognitive impairment (MCI) and dementia. The small retinal vessels reflect cerebral microcirculation and its fractal dimension (Df) representing the complexity of the retinal microcirculation. However, the connection between the retinal circulation and cognitive function lacked consistent and longitudinal evidence. This study aimed to explore the association between the retinal vascular Df and cognitive dysfunction in the community-dwelling older adults.
Materials and methods: This study is part of the prospective cohort “Taiwan Initiative for Geriatric Epidemiological Research” (TIGER, 2011 to present). Participants from the 4-year (2015–2017) and 6-year (2017-2019) follow-ups were included. All participants were aged ≥ 65 years old at baseline and received retinal fundus examination at 4-year follow-up. We segmented the retinal vessels by Coyefilter of MATLAB from fundus photography. Skeletonization and fractal analyses of the segmented images were then performed by ImageJ. Cognition assessment, including global cognition (Montreal Cognitive Assessment-Taiwanese version, MoCA-T) and domain-specific cognition were performed at 4- and 6- year follow-up. Multivariable linear regression models were used to estimate the association of global or domain-specific cognitive function change from 4- to 6-year follow up with relative low Df (T1) compared with those with higher Df (T2+T3) and by every 0.1 unit decrement of retinal vascular Df. Multivariable logistic regression analyses were performed to estimate the risk of decline in global or domain-specific cognitive function for eyes with low Df (the lowest tertile, T1) compared with those with higher Df (T2+T3) and by every 0.1 unit decrement of retinal vascular Df over 2 years.
Results: A total of 177 participants were included. Participants with low right vascular complexity were associated with decline of logical memory theme-II over 2 years [odds ratio (OR)=2.35, 95% confidence interval (CI)=1.09-5.04], compared with participants with higher right vascular complexity (T1 vs. T2+T3 of Df). A 0.1 unit decrease of right vascular Df was associated with the decline of logical memory recall-I over 2 years (OR=2.76, 95% CI=1.03-7.38). For left eye, lower vascular complexity was associated with significant decline of executive function (Trail making test A) over 2 years (OR=2.87, 95% CI= 1.24-6.65).
Conclusion: Retinal vascular fractal dimension may be used for screening cognitive decline in the preclinical stage.
en
dc.description.provenanceMade available in DSpace on 2021-07-10T21:44:36Z (GMT). No. of bitstreams: 1
U0001-1507202010372800.pdf: 3465535 bytes, checksum: 127baf7a002ff4a02e6787bc6953be76 (MD5)
Previous issue date: 2020
en
dc.description.tableofcontents誌謝 1
中文摘要 2
Abstract 3
List of Figures 6
List of Tables 7
Chapter 1. Introduction 8
Chapter 2. Research Gap, Hypothesis and Study Aims 11
Chapter 3. Materials and Methods 12
3.1 Study population 12
3.2 Cognitive assessment 12
3.3 Retinal vascular fractal dimension 13
3.4 Covariates 14
3.5 Lab assays 14
3.6 Statistical analysis 14
Chapter 4. Results 16
4.1 Characteristics of study population 16
4.2 Relationship between retinal vascular complexity and cognitive decline over 2 years 16
4.3 Stratified analyses by important variables 17
4.4 Sensitivity analyses 18
Chapter 5. Discussion 19
5.1 Retinal vascular fractal dimension and cognitive function 19
5.2 Interocular asymmetry 20
5.3 Strengths and limitations 21
Chapter 6. Conclusion 23
References 36
Appendix 39
dc.language.isoen
dc.subject認知功能zh_TW
dc.subject世代追蹤研究zh_TW
dc.subject視網膜血管碎形維度zh_TW
dc.subjectCohort studyen
dc.subjectRetinal vascular fractal dimensionen
dc.subjectCognitive functionen
dc.title台灣老年人視網膜血管碎形維度與認知功能相關性研究zh_TW
dc.titleThe Association between Retinal Vascular Fractal Dimension and Cognitive Function in The Community-dwelling Elderly Cohort TIGERen
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree碩士
dc.contributor.advisor-orcid程蘊菁(0000-0002-8159-7202)
dc.contributor.oralexamcommittee李文宗(Wen-Chung Lee),丘政民(Jeng-Min Chiou),謝易庭(Yi-Ting Hsieh),陳達夫(Ta-Fu Chen)
dc.contributor.oralexamcommittee-orcid李文宗(0000-0003-3171-7672),謝易庭(0000-0003-2258-154X),陳達夫(0000-0003-1988-6924)
dc.subject.keyword視網膜血管碎形維度,認知功能,世代追蹤研究,zh_TW
dc.subject.keywordRetinal vascular fractal dimension,Cognitive function,Cohort study,en
dc.relation.page39
dc.identifier.doi10.6342/NTU202001531
dc.rights.note未授權
dc.date.accepted2020-07-27
dc.contributor.author-college公共衛生學院zh_TW
dc.contributor.author-dept流行病學與預防醫學研究所zh_TW
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