The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease
Open accessAbstract
Studies of rodent models of Alzheimer’s disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Optical properties of biological tissues: A review
Jacques, S. L. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/11/r37 · Cited by 4,008
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530
Adaptive linear step-up procedures that control the false discovery rate
Benjamini, Y., Krieger, A. M., & Yekutieli, D. (2006) · Biometrika · doi:10.1093/biomet/93.3.491 · Cited by 3,228
The retina as a window to the brain—from eye research to CNS disorders
London, A., Benhar, I., & Schwartz, M. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.227 · Cited by 1,403
Blood vessel segmentation methodologies in retinal images – A survey
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., & Barman, S. A. (2012) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2012.03.009 · Cited by 1,001
Patton, N., Aslam, T., MacGillivray, T., Pattie, A., Deary, I. J., & Dhillon, B. (2005) · Journal of Anatomy · doi:10.1111/j.1469-7580.2005.00395.x · Cited by 807
Cited by
How Can Hearing Loss Cause Dementia?
Griffiths, T. D., Lad, M., Kumar, S., Holmes, E., McMurray, B., Maguire, E. A., Billig, A. J., & Sedley, W. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.003 · Cited by 369
Identification of early pericyte loss and vascular amyloidosis in Alzheimer’s disease retina
Shi, H., Koronyo, Y., Rentsendorj, A., Regis, G. C., Sheyn, J., Fuchs, D.-T., Kramerov, A. A., Ljubimov, A. V., Dumitrascu, O. M., Rodriguez, A. R., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02134-w · Cited by 230
Evaluating the neuroprotective impact of senolytic drugs on human vision
El-Nimri, N. W., Moore, S. M., Zangwill, L. M., Proudfoot, J. A., Weinreb, R. N., Skowronska-Krawczyk, D., & Baxter, S. L. (2020) · Scientific Reports · doi:10.1038/s41598-020-78802-4 · Cited by 22
Metadata
- Authors
- Hadoux, X., Hui, F., Lim, J. K. H., Masters, C. L., Pébay, A., Chevalier, S., Ha, J., Loi, S., Fowler, C. J., Rowe, C., Villemagne, V. L., Taylor, E. N., Fluke, C., Soucy, J.-P., Lesage, F., Sylvestre, J.-P., Rosa-Neto, P., Mathotaarachchi, S., Gauthier, S., Nasreddine, Z. S., Arbour, J. D., Rhéaume, M.-A., Beaulieu, S., Dirani, M., Nguyen, C. T. O., Bui, B. V., Williamson, R., Crowston, J. G., & van Wijngaarden, P.
- Venue
- Nature Communications
- Published
- 2019-09-17
- Volume
- 10
- Issue
- 1
- Pages
- 4227-4227
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2973454555
- Cited by
- 304
- References
- 51
- FWCI
- 20.21
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease. https://app.cochat.ai/papers/10.1038/s41467-019-12242-1
- The paper
- Hadoux, X., Hui, F., Lim, J. K. H., Masters, C. L., Pébay, A., Chevalier, S., Ha, J., Loi, S., Fowler, C. J., Rowe, C., Villemagne, V. L., Taylor, E. N., Fluke, C., Soucy, J.-P., Lesage, F., Sylvestre, J.-P., Rosa-Neto, P., Mathotaarachchi, S., Gauthier, S., . . . van Wijngaarden, P. (2019). Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease. Nature Communications. https://doi.org/10.1038/s41467-019-12242-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
