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News|Articles|June 16, 2026

Recognizing biomarkers of Alzheimer Disease using OCTA

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Key Takeaways

  • Cross-sectional design leveraged widely available OCTA to quantify retinal vessel skeleton density, choriocapillaris flow deficit, and ganglion cell complex thickness as potential scalable cognitive-screening biomarkers.
  • Ganglion cell complex thinning distinguished Alzheimer dementia from cognitively normal participants (63.31 vs 67.93 μm; P=0.03), supporting concomitant neurodegeneration detectable in the inner retina.
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Optical coherence tomography angiography found distinctive microvascular signatures in the retinal layers associated with various stages of decline in cognition.

A new optical coherence tomography angiography (OCTA) study1 found distinctive microvascular signatures associated with various stages of decline in cognition, according to Yi Zhang, PhD, and associates. Zhang is from the Department of Bioengineering, University of Washington, Seattle.

The investigators explained that while Alzheimer disease can be diagnosed via positron emission tomography, magnetic resonance imaging, and cerebrospinal fluid biomarker analysis,2-10 these approaches can be “costly, invasive, and operationally complex, restricting their feasibility for population-level screening or repeated longitudinal monitoring.2,4,6-8,11 This creates a crucial need for scalable, noninvasive, and cost-effective methods that can identify early neurodegenerative or microvascular abnormalities.”12

For these reasons, they turned to the retina, which provides “a unique window into neurodegenerative pathology.”

OCT/OCTA systems are widely available in ophthalmic clinics, require far less specialized infrastructure, and exhibit excellent repeatability, making them promising candidates for scalable cognitive assessment,2” and the rapidly obtained, three-dimensional images capture high-resolution pictures of the retinal, choroidal, and choriocapillaris structures and perfusion,13,14 they explained.

OCTA study methodology

Zhang and colleagues conducted a cross-sectional study to determine if retinal, choroidal, and choriocapillaris biomarkers seen on OCTA images differed across cognitive states and if they can be used to differentiate among normal cognition, mild cognitive impairment, and Alzheimer disease dementia.

The study included 103 individuals broken down as follows: 49 control individual who were cognitively normal, 29 who were mildly impaired, and 25 with Alzheimer disease dementia. All participants underwent swept-source OCTA.

The main outcomes were the cognitive status, retinal vessel skeleton density, choriocapillaris flow deficit, and ganglion cell complex thickness, the investigators recounted.

What did the OCTA images show?

The participants were a mean age, 74.8 years.

Zhang and colleagues reported that the adjusted mean ganglion cell complex was thinner in individuals with Alzheimer disease compared with controls (63.31 μm and 67.93 μm, respectively), a difference that reached significance (P = 0 .03).

The adjusted mean choriocapillaris flow deficit was lower in those who were mildly cognitively impaired compared with those with Alzheimer disease (8.12% vs 9.07%, respectively), which also was significant (P = 0 .01); however, the value was higher in Alzheimer disease compared with controls (8.33%; P = 0.04).

Multivariable analyses showed that the following variables were associated significantly with cognitive status: the retinal vessel skeleton density in individuals who are mildly impaired and those with Alzheimer disease (P < 0 .001) and the choriocapillaris flow deficit in individuals who were mildly impaired and those with Alzheimer disease (P < 0 .001).

The investigators concluded, “The retinal vessel skeleton density and choriocapillaris flow deficit emerged as having associations with cognitive impairment, with the choriocapillaris flow deficit demonstrating a biphasic trajectory that may reflect early compensatory and later degenerative microvascular changes.”

They offered the following caveat, “Although the observed patterns suggest directions worth exploring, this study was not designed or powered to establish clinically actionable thresholds or generalize to the broader dementia population, and all findings should be considered preliminary.”

They emphasized the need for larger and longitudinal studies to determine the prognostic value and establish OCTA as a clinical tool to detect cognitive impairment early and monitor it.

References
1.
Zhang Y, Jian Y, Edalati K, et al. Quantitative swept-source optical coherence tomography angiography indicators of neurovascular dysfunction in Alzheimer disease. JAMA Ophthalmol. 2026; published online June 11, 2026. doi:10.1001/jamaophthalmol.2026.1986
2. Song A, Johnson N, Ayala A, Thompson AC. Optical coherence tomography in patients with Alzheimer’s disease: what can it tell us? Eye Brain. 2021;13:1-20. doi:10.2147/EB.S235238
3. Albert MS, DeKosky ST, Dickson D, et al. The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:270-279. doi:10.1016/j.jalz.2011.03.008
4. Jack CR Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol. 2010;9:119-28. doi:10.1016/S1474-4422(09)70299-6
5. Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183-94. doi:10.1111/j.1365-2796.2004.01388.x
6. Chandra A, Dervenoulas G, Politis M; Alzheimer’s Disease Neuroimaging Initiative. Magnetic resonance imaging in Alzheimer’s disease and mild cognitive impairment. J Neurol. 2019;266:1293-302. doi:10.1007/s00415-018-9016-3
7. Chapleau M, Iaccarino L, Soleimani-Meigooni D, Rabinovici GD. The role of amyloid PET in imaging neurodegenerative disorders: a review. J Nucl Med. 2022;63(suppl 1):13S-19S. doi:10.2967/jnumed.121.263195
8. Villemagne VL. Amyloid imaging: past, present and future perspectives. Ageing Res Rev. 2016;30:95-106. doi:10.1016/j.arr.2016.01.005
9. McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:263-9. doi:10.1016/j.jalz.2011.03.005
10. Jack CR Jr, Bennett DA, Blennow K, et al; Contributors. NIA-AA Research Framework: toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 2018;14:535-62. doi:10.1016/j.jalz.2018.02.018
11. Cheung CY, Ikram MK, Chen C, Wong TY. Imaging retina to study dementia and stroke. Prog Retin Eye Res. 2017;57:89-107. doi:10.1016/j.preteyeres.2017.01.001
12. Wright CF, Hall A, Matthews FE, Brayne C. Biomarkers, dementia, and public health. Ann N Y Acad Sci. 2009;1180:11-9. doi:10.1111/j.1749-6632.2009.04942.x
13. Kashani AH, Chen CL, Gahm JK, et al. Optical coherence tomography angiography: a comprehensive review of current methods and clinical applications. Prog Retin Eye Res. 2017;60:66-100. doi:10.1016/j.preteyeres.2017.07.002
14. Cheung CY, Ong YT, Ikram MK, et al. Retinal microvasculature in Alzheimer’s disease. J Alzheimers Dis. 2014;42:S339-S352. doi:10.3233/JAD-141596

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