September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Multi-modal optical coherence tomography enables concurrent imaging of retinal neural activity and vascular hemodynamics
Author Affiliations & Notes
  • Taeyoon Son
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Benquan Wang
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Damber Thapa
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Yiming Lu
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Dingcai Cao
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • Xincheng Yao
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   Taeyoon Son, University of Illinois at Chicago (P); Benquan Wang, None; Damber Thapa, None; Yiming Lu, None; Dingcai Cao, University of Illinois at Chicago (P); Xincheng Yao, University of Illinois at Chicago (P)
  • Footnotes
    Support  NIH R01 EY023522, NIH R01 EY024628, NIH P30 EY001792 and NSF CBET-1055889.
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 3752. doi:
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    • Get Citation

      Taeyoon Son, Benquan Wang, Damber Thapa, Yiming Lu, Dingcai Cao, Xincheng Yao; Multi-modal optical coherence tomography enables concurrent imaging of retinal neural activity and vascular hemodynamics. Invest. Ophthalmol. Vis. Sci. 2016;57(12):3752.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : This study is to test the feasibility of concurrent optical imaging of retinal neural activity and vascular hemodynamics. It is well established that major retinal diseases, such as age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR), involve distortions of retinal neural physiology and the blood vascular system. However, details of distortions in retinal neurovascular coupling (i.e., coherent interaction between retinal neural physiology and blood vascular system) associated with these major eye diseases are not well understood due to the limitation of existing techniques. We report here a multi-modal optical coherence tomography (OCT) to allow for concurrent imaging of retinal neural activity and vascular hemodynamics.

Methods : A custom-designed OCT was constructed for in vivo imaging of mouse retinas. The OCT employed a near infrared (center wavelength: 843 nm) for dynamic retinal imaging. A visible light (505 nm) pulsed stimulation (10Hz) was used for retinal stimulation. Each experiment consisted of three OCT acquisition phases, including pre-stimulation (5 s), stimulation (15 s) and post-stimulation (40 s). Based on the same OCT data sets, stimulus-evoked intrinsic optical signal (IOS) was calculated to map retinal photoreceptor responses; while dynamic OCT angiography was reconstructed to detect transient hemodynamic changes in individual retinal layers.

Results : Rapid IOS changes occurred almost immediately (< 10 ms), and typically reached peak value within 1 s after the stimulation onset. Both positive and negative IOSs were observed in adjacent retinal locations. In contrast, dynamic OCT angiography gradually disclosed blood flow changes, and typically reached peak value after 10 s of the stimulation onset.

Conclusions : Multi-modal OCT enabled concurrent IOS imaging of retinal neural activity and angiographic monitoring of vascular hemodynamics. Further development of the multi-modal OCT may provide a new imaging methodology to study how retinal structure, metabolic and neural functions are affected by AMD, glaucoma, DR, etc., promising noninvasive biomarkers for early disease detection and treatment evaluation.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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