Academic Journal

Imaging the eye as a window to brain health: frontier approaches and future directions

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Imaging the eye as a window to brain health: frontier approaches and future directions
Συγγραφείς: Banna, Hasan U., Slayo, Mary, Armitage, James A., del Rosal, Blanca, Vocale, Loretta, Spencer, Sarah J.
Πηγή: http://lobid.org/resources/99370676031606441#!, 21(1):309.
Έτος έκδοσης: 2024
Συλλογή: Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
Θεματικοί όροι: Brain/pathology [MeSH], Brain/diagnostic imaging [MeSH], Brain Diseases/diagnosis [MeSH], Humans [MeSH], Optical Imaging/trends [MeSH], Review, Brain Diseases/pathology [MeSH], Brain Diseases/diagnostic imaging [MeSH], Retina/diagnostic imaging [MeSH], Animals [MeSH], Retina/pathology [MeSH], Optical Imaging/methods [MeSH]
Περιγραφή: Recent years have seen significant advances in diagnostic testing of central nervous system (CNS) function and disease. However, there remain challenges in developing a comprehensive suite of non- or minimally invasive assays of neural health and disease progression. Due to the direct connection with the CNS, structural changes in the neural retina, retinal vasculature and morphological changes in retinal immune cells can occur in parallel with disease conditions in the brain. The retina can also, uniquely, be assessed directly and non-invasively. For these reasons, the retina may prove to be an important 'window' for revealing and understanding brain disease. In this review, we discuss the gross anatomy of the eye, focusing on the sensory and non-sensory cells of the retina, especially microglia, that lend themselves to diagnosing brain disease by imaging the retina. We include a history of ocular imaging to describe the different imaging approaches undertaken in the past and outline current and emerging technologies including retinal autofluorescence imaging, Raman spectroscopy, and artificial intelligence image analysis. These new technologies show promising potential for retinal imaging to be used as a tool for the diagnosis of brain disorders such as Alzheimer's disease and others and the assessment of treatment success.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://repository.publisso.de/resource/frl:6500954; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606158/
DOI: 10.1186/s12974-024-03304-3
Διαθεσιμότητα: https://repository.publisso.de/resource/frl:6500954
https://doi.org/10.1186/s12974-024-03304-3
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606158/
Rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
Αριθμός Καταχώρησης: edsbas.5563D97
Βάση Δεδομένων: BASE
FullText Text:
  Availability: 0
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PubType: Academic Journal
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  Data: Imaging the eye as a window to brain health: frontier approaches and future directions
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  Data: <searchLink fieldCode="AR" term="%22Banna%2C+Hasan+U%2E%22">Banna, Hasan U.</searchLink><br /><searchLink fieldCode="AR" term="%22Slayo%2C+Mary%22">Slayo, Mary</searchLink><br /><searchLink fieldCode="AR" term="%22Armitage%2C+James+A%2E%22">Armitage, James A.</searchLink><br /><searchLink fieldCode="AR" term="%22del+Rosal%2C+Blanca%22">del Rosal, Blanca</searchLink><br /><searchLink fieldCode="AR" term="%22Vocale%2C+Loretta%22">Vocale, Loretta</searchLink><br /><searchLink fieldCode="AR" term="%22Spencer%2C+Sarah+J%2E%22">Spencer, Sarah J.</searchLink>
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  Data: 2024
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  Data: <searchLink fieldCode="DE" term="%22Brain%2Fpathology+[MeSH]%22">Brain/pathology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%2Fdiagnostic+imaging+[MeSH]%22">Brain/diagnostic imaging [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+Diseases%2Fdiagnosis+[MeSH]%22">Brain Diseases/diagnosis [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Humans+[MeSH]%22">Humans [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+Imaging%2Ftrends+[MeSH]%22">Optical Imaging/trends [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Review%22">Review</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+Diseases%2Fpathology+[MeSH]%22">Brain Diseases/pathology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+Diseases%2Fdiagnostic+imaging+[MeSH]%22">Brain Diseases/diagnostic imaging [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Retina%2Fdiagnostic+imaging+[MeSH]%22">Retina/diagnostic imaging [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Animals+[MeSH]%22">Animals [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Retina%2Fpathology+[MeSH]%22">Retina/pathology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+Imaging%2Fmethods+[MeSH]%22">Optical Imaging/methods [MeSH]</searchLink>
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  Data: Recent years have seen significant advances in diagnostic testing of central nervous system (CNS) function and disease. However, there remain challenges in developing a comprehensive suite of non- or minimally invasive assays of neural health and disease progression. Due to the direct connection with the CNS, structural changes in the neural retina, retinal vasculature and morphological changes in retinal immune cells can occur in parallel with disease conditions in the brain. The retina can also, uniquely, be assessed directly and non-invasively. For these reasons, the retina may prove to be an important 'window' for revealing and understanding brain disease. In this review, we discuss the gross anatomy of the eye, focusing on the sensory and non-sensory cells of the retina, especially microglia, that lend themselves to diagnosing brain disease by imaging the retina. We include a history of ocular imaging to describe the different imaging approaches undertaken in the past and outline current and emerging technologies including retinal autofluorescence imaging, Raman spectroscopy, and artificial intelligence image analysis. These new technologies show promising potential for retinal imaging to be used as a tool for the diagnosis of brain disorders such as Alzheimer's disease and others and the assessment of treatment success.
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  Data: https://repository.publisso.de/resource/frl:6500954; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606158/
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  Data: 10.1186/s12974-024-03304-3
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  Data: https://repository.publisso.de/resource/frl:6500954<br />https://doi.org/10.1186/s12974-024-03304-3<br />https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11606158/
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  Data: edsbas.5563D97
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        Value: 10.1186/s12974-024-03304-3
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