PMC:7523471 / 86178-87194 JSONTXT

{"project":"TEST0","denotations":[{"id":"33041751-227-235-816875","span":{"begin":382,"end":386},"obj":"[\"31530809\"]"},{"id":"33041751-78-86-816876","span":{"begin":467,"end":471},"obj":"[\"31530809\"]"},{"id":"33041751-143-151-816877","span":{"begin":617,"end":621},"obj":"[\"25354367\"]"},{"id":"33041751-162-170-816878","span":{"begin":636,"end":640},"obj":"[\"27333181\"]"},{"id":"33041751-226-234-816879","span":{"begin":809,"end":813},"obj":"[\"31603648\"]"},{"id":"33041751-194-202-816880","span":{"begin":1010,"end":1014},"obj":"[\"31650017\"]"}],"text":"Noninvasive in vivo retinal hyperspectral imaging (rHSI) has also recently been employed in patients and controls. One study found significant differences in the retinal reflectance spectra of MCI patients with high Aβ burden, confirmed by brain PET imaging, as compared to age-matched controls, validated in an independent cohort with a second hyperspectral camera (Hadoux et al., 2019). Retinal imaging scores correlated with Aβ burden in the brain (Hadoux et al., 2019). Intriguingly, a similar study from More and colleagues, the team that initially developed the rHSI technique in murine models (More and Vince, 2015; More et al., 2016), found the largest deviation in rHSI signatures between MCI patients and controls, irrespective of other ocular conditions such as cataracts or glaucoma (More et al., 2019). The same technique was able to distinguish cerebral Aβ+ subjects from Aβ− subjects with 85% accuracy based on retinal vascular measures including vessel tortuosity and diameter (Sharafi et al., 2019)."}

{"project":"2_test","denotations":[{"id":"33041751-31530809-38666661","span":{"begin":382,"end":386},"obj":"31530809"},{"id":"33041751-31530809-38666662","span":{"begin":467,"end":471},"obj":"31530809"},{"id":"33041751-25354367-38666663","span":{"begin":617,"end":621},"obj":"25354367"},{"id":"33041751-27333181-38666664","span":{"begin":636,"end":640},"obj":"27333181"},{"id":"33041751-31603648-38666665","span":{"begin":809,"end":813},"obj":"31603648"},{"id":"33041751-31650017-38666666","span":{"begin":1010,"end":1014},"obj":"31650017"}],"text":"Noninvasive in vivo retinal hyperspectral imaging (rHSI) has also recently been employed in patients and controls. One study found significant differences in the retinal reflectance spectra of MCI patients with high Aβ burden, confirmed by brain PET imaging, as compared to age-matched controls, validated in an independent cohort with a second hyperspectral camera (Hadoux et al., 2019). Retinal imaging scores correlated with Aβ burden in the brain (Hadoux et al., 2019). Intriguingly, a similar study from More and colleagues, the team that initially developed the rHSI technique in murine models (More and Vince, 2015; More et al., 2016), found the largest deviation in rHSI signatures between MCI patients and controls, irrespective of other ocular conditions such as cataracts or glaucoma (More et al., 2019). The same technique was able to distinguish cerebral Aβ+ subjects from Aβ− subjects with 85% accuracy based on retinal vascular measures including vessel tortuosity and diameter (Sharafi et al., 2019)."}

{"project":"0_colil","denotations":[{"id":"33041751-31530809-816875","span":{"begin":382,"end":386},"obj":"31530809"},{"id":"33041751-31530809-816876","span":{"begin":467,"end":471},"obj":"31530809"},{"id":"33041751-25354367-816877","span":{"begin":617,"end":621},"obj":"25354367"},{"id":"33041751-27333181-816878","span":{"begin":636,"end":640},"obj":"27333181"},{"id":"33041751-31603648-816879","span":{"begin":809,"end":813},"obj":"31603648"},{"id":"33041751-31650017-816880","span":{"begin":1010,"end":1014},"obj":"31650017"}],"text":"Noninvasive in vivo retinal hyperspectral imaging (rHSI) has also recently been employed in patients and controls. One study found significant differences in the retinal reflectance spectra of MCI patients with high Aβ burden, confirmed by brain PET imaging, as compared to age-matched controls, validated in an independent cohort with a second hyperspectral camera (Hadoux et al., 2019). Retinal imaging scores correlated with Aβ burden in the brain (Hadoux et al., 2019). Intriguingly, a similar study from More and colleagues, the team that initially developed the rHSI technique in murine models (More and Vince, 2015; More et al., 2016), found the largest deviation in rHSI signatures between MCI patients and controls, irrespective of other ocular conditions such as cataracts or glaucoma (More et al., 2019). The same technique was able to distinguish cerebral Aβ+ subjects from Aβ− subjects with 85% accuracy based on retinal vascular measures including vessel tortuosity and diameter (Sharafi et al., 2019)."}