Eye as a window to the brain: investigating the clinical utility of retinal imaging derived biomarkers in the phenotyping of neurodegenerative disease
dc.contributor.advisor
Chandran, Siddharthan
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dc.contributor.advisor
Dhillon, Baljean
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dc.contributor.author
Cameron, James R.
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dc.date.accessioned
2018-07-19T12:52:17Z
dc.date.available
2018-07-19T12:52:17Z
dc.date.issued
2018-06-30
dc.description.abstract
BACKGROUND:
Neurodegenerative diseases, like multiple sclerosis, dementia and motor neurone
disease, represent one of the major public health threats of our time. There is a clear
persistent need for novel, affordable, and patient‐acceptable biomarkers of these
diseases, to assist with diagnosis, prognosis and impact of interventions. And these
biomarkers need to be sensitive, specific and precise.
The retina is an attractive site for exploring this potential, as it is easily accessible to
non‐invasive imaging. Remarkable technology revolutions in retinal imaging are
enabling us to see the retina in microscopic level detail, and measure neuronal and
vascular integrity.
AIMS AND OBJECTIVES:
I therefore propose that retinal imaging could provide reliable and accurate markers of
these neurological diseases.
In this project, I aimed to explore the clinical utility of retinal imaging derived measures
of retinal neuronal and vessel size and morphology, and determine their candidacy for
being reliable biomarkers in these diseases.
I also aimed to detail the methods of retinal imaging acquisition, and processing, and
the principles underlying all these stages, in relation to understanding of retinal
structure and function. This provides an essential foundation to the application of
retinal imaging analysis, highlighting both the strengths and potential weaknesses of
retinal biomarkers and how they are interpreted.
METHODS:
After performing detailed systematic reviews and meta‐analyses of the existing work
on retinal biomarkers of neurodegenerative disease, I carried out a prospective,
controlled, cross‐sectional study of retinal image analysis, in patients with MS,
dementia, and ALS. This involved developing new software for vessel analysis, to add
value and maximise the data available from patient imaging episodes.
RESULTS:
From the systematic reviews, I identified key unanswered questions relating to the
detailed analysis and utility of neuroretinal markers, and diseases with no studies yet
performed of retinal biomarkers, such as non‐AD dementias.
I recruited and imaged 961 participants over a two‐year period, and found clear
patterns of significance in the phenotyping of MS, dementia and ALS.
Detailed analysis has provided new insights into how the retina may yield important
disease information for the individual patient, and also generate new hypotheses with
relation to the disease pathophysiology itself.
CONCLUSIONS:
Overall, the results show that retinal imaging derived biomarkers have an important
and specific role in the phenotyping of neurodegenerative diseases, and support the
hypothesis that the eye is an important window to neurological brain disease.
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dc.identifier.uri
http://hdl.handle.net/1842/31379
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Lateral thinking ‐ symmetry and asymmetry in neurovascular patterning, in health and disease. JR Cameron, RD Megaw, AJ Tatham, S McGrory, TJ MacGillivray, F Doubal, JM Wardlaw, E Trucco, S Chandran, B Dhillon Progress in Retinal and Eye Research 2017; 59: 131‐157
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dc.relation.hasversion
Retinal imaging in early Alzheimer’s disease. TJ MacGillivray, S McGrory, T Pearson, JR Cameron Book chapter in ‘Biomarkers for Preclinical Alzheimer’s Disease’: NeuroMethods Vol. 137, Robert Perneczky (Ed.), Humana Press. (2018)
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dc.relation.hasversion
The application of retinal fundus imaging in dementia: a systematic review. S McGrory, JR Cameron, C Warren, F Doubal, IJ Deary, B Dhillon, J Wardlaw, E Trucco, TJ MacGillivray Alzheimer’s & Dementia (Amst) 2017; 6(1): 91‐107
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dc.relation.hasversion
OCT update: Beyond the nerve fibre layer. JR Cameron View on Glaucoma 2017; 12(1): 9‐13
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dc.relation.hasversion
Chorioretinal thinning in chronic kidney disease links to inflammation & endothelial dysfunction. C Balmforth, J van Bragt, T Ruijs, JR Cameron, R Kimmitt, R Moorhouse, A Czopek, M Hu, P Gallacher, J Dear, S Borooah, I MacIntyre, T Pearson, L Willox, D Talwar, M Tafflet, C Roubeix, F Sennlaub, S Chandran, B Dhillon, D Webb, N Dhaun JCI Insight 2016; 1(20): e89173
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dc.relation.hasversion
Modulation of retinal image vasculature analysis to extend utility and provide secondary value from optical coherence tomography imaging. JR Cameron, L Ballerini, C Langan, C Warren, N Denholm, K Smart, TJ MacGillivray Journal of Medical Imaging 2016 May; 3(2): 020501
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dc.relation.hasversion
A Window to Beyond the Orbit: the value of optical coherence tomography in non‐ocular disease. JR Cameron, AJ Tatham Acta Ophthalmologica 2016; 94: 533‐539
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dc.relation.hasversion
The APOSTEL recommendations for reporting quantitative optical coherence studies. JR Cameron Neurology 2016; 87(18): 1960
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dc.relation.hasversion
Suitability of UK Biobank retinal images for automatic analysis of morphometric properties of the vasculature. TJ MacGillivray, JR Cameron, Q Zhang, AYM El‐Medany, C Mulholland, Z Sheng, B Dhillon, FN Doubal, PJ Foster, E Trucco, C Sudlow for the UK Biobank Eye and Vision Consortium PLoS ONE 2015; 10(5): e0127914
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dc.relation.hasversion
Systematic review & meta‐analysis of optical coherence tomography in dementia. KL Thomson, JM Yeo, B Waddell, JR Cameron, S Pal Alzheimer’s & Dementia (Amst) 2015; 1(2): 136‐143
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dc.relation.hasversion
Retinal imaging as a source of biomarkers for diagnosis, characterisation and prognosis of chronic illness or long‐term conditions. TJ MacGillivray, E Trucco, JR Cameron, B Dhillon, JG Houston, EJR van Beek British Journal of Radiology 2014; 87: 20130832
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dc.subject
retinal diseases
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dc.subject
neurological conditions
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dc.subject
biomarkers
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dc.title
Eye as a window to the brain: investigating the clinical utility of retinal imaging derived biomarkers in the phenotyping of neurodegenerative disease
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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