Special Issue "Recent Advances in Neuro-Opthalmology"

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotology and Neuro-ophthalmology".

Deadline for manuscript submissions: 8 January 2024 | Viewed by 3688

Special Issue Editor

Al-Bahar Ophthalmology Center, Ibn Sina Hospital, Kuwait City, Kuwait
Interests: optical coherence tomography; optic neuropathy; idiopathic intracranial hypertension; optic neuritis; Leber mitochondrial optic neuropathy; nystagmus; multiple sclerosis; neuromyelitis optic; myelin oligodendrocyte (MOG); visual evoked potentitials (VEP); pituitary tumors and sellar lesions

Special Issue Information

Dear Colleagues,

In recent years, neuro-ophthalmology has witnessed significant advances in the diagnostic and therapeutic aspects. Neuro-ophthalmology has come a long way from a specialty that “admires disease” to one that employs sophisticated and highly-technological tools for early diagnosis and evidence-based guidelines in management. In addition, our understanding of many common neuro-ophthalmic conditions has changed and evolved over the years. Treatment of some genetic neuro-ophthalmic conditions such as Leber’s hereditary optic neuropathy using gene therapy is in ongoing trials.

This Special Issue of Brain Sciences will focus on recent advances in neuro-ophthalmology and will cover the specialty's state-of-the-art trends and current research advances. Authors are kindly invited to submit manuscripts that will address a broad range of topics including: optic neuritis (MS, MOG, NMO), idiopathic intracranial hypertension, the use of optical coherence tomography in neuro-ophthalmic (optic neuropathies and disc drusen) and neurologic diseases, diagnosis and treatment of Leber’s hereditary optic neuropathy, emerging therapeutic options for thyroid eye disease and other inflammatory orbital disorders, and innovative medical and surgical therapeutic options for various neuro-ophthalmic conditions.

Dr. Raed Behbehani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optic neuritis
  • idiopathic intracranial hypertension
  • optic neuropathies
  • optical coherence tomography in neuro-ophthalmic diseases
  • disc drusen
  • Leber’s hereditary optic neuropathy
  • emerging therapeutic options for thyroid eye disease
  • other inflammatory orbital disorders
  • innovative medical and surgical therapeutic options for neurotrophic keratopathy
  • artificial intelligence in neuro-ophthalmology
  • retinal biomarkers for cerebrovascular disease

Published Papers (2 papers)

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Research

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13 pages, 990 KiB  
Article
Swept-Source Optical Coherence Tomography Thresholds in Differentiating Clinical Outcomes in a Real-World Cohort of Treatment-Naïve Multiple Sclerosis Patients
Brain Sci. 2023, 13(4), 591; https://doi.org/10.3390/brainsci13040591 - 31 Mar 2023
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Abstract
This study aimed to determine whether peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell–inner plexiform layer (GCIPL) thickness thresholds for single-time-point swept-source optical coherence tomography (SS-OCT) measures can differentiate the clinical outcomes of treatment-naïve people with multiple sclerosis (pwMS). A total of [...] Read more.
This study aimed to determine whether peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell–inner plexiform layer (GCIPL) thickness thresholds for single-time-point swept-source optical coherence tomography (SS-OCT) measures can differentiate the clinical outcomes of treatment-naïve people with multiple sclerosis (pwMS). A total of 275 patients with the clinically isolated syndrome (n = 23), benign MS (n = 8), relapsing–remitting MS (n = 185), secondary progressive MS (n = 28), primary progressive MS (n = 31), and with no history of optic neuritis were included. The mean Expanded Disability Status Scale (EDSS) score was 3.0 ± 1.6. The cut-off values of pRNFL (87 µm and 88 µm) and GCIPL (70 µm) thicknesses have been adopted from previous studies using spectral-domain OCT. PwMS with pRNFL ≤87 µm and ≤88 µm had a longer disease duration, more advanced disability, and more frequently progressive MS variants compared to those with greater pRNFL thicknesses. In distinguishing pwMS with disability greater than or equal to the mean EDSS score (EDSS ≥ 3) from those with less severe disability, GCIPL thickness <70 µm had the highest sensitivity, while pRNFL thickness ≤87 µm had the greatest specificity. The optimal cut-off values differentiating patients with EDSS ≥ 3 from those with less severe disability was 63 µm for GCIPL thickness and 93.5 µm for pRNFL thickness. In conclusion, pRNFL and GCIPL thickness thresholds for single-time-point SS-OCT measurements may be helpful in differentiating the disability status of treatment-naïve pwMS. Full article
(This article belongs to the Special Issue Recent Advances in Neuro-Opthalmology)
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21 pages, 4745 KiB  
Review
Artificial Intelligence Frameworks to Detect and Investigate the Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS)
Brain Sci. 2023, 13(8), 1148; https://doi.org/10.3390/brainsci13081148 - 30 Jul 2023
Cited by 1 | Viewed by 1780
Abstract
Spaceflight associated neuro-ocular syndrome (SANS) is a unique phenomenon that has been observed in astronauts who have undergone long-duration spaceflight (LDSF). The syndrome is characterized by distinct imaging and clinical findings including optic disc edema, hyperopic refractive shift, posterior globe flattening, and choroidal [...] Read more.
Spaceflight associated neuro-ocular syndrome (SANS) is a unique phenomenon that has been observed in astronauts who have undergone long-duration spaceflight (LDSF). The syndrome is characterized by distinct imaging and clinical findings including optic disc edema, hyperopic refractive shift, posterior globe flattening, and choroidal folds. SANS serves a large barrier to planetary spaceflight such as a mission to Mars and has been noted by the National Aeronautics and Space Administration (NASA) as a high risk based on its likelihood to occur and its severity to human health and mission performance. While it is a large barrier to future spaceflight, the underlying etiology of SANS is not well understood. Current ophthalmic imaging onboard the International Space Station (ISS) has provided further insights into SANS. However, the spaceflight environment presents with unique challenges and limitations to further understand this microgravity-induced phenomenon. The advent of artificial intelligence (AI) has revolutionized the field of imaging in ophthalmology, particularly in detection and monitoring. In this manuscript, we describe the current hypothesized pathophysiology of SANS and the medical diagnostic limitations during spaceflight to further understand its pathogenesis. We then introduce and describe various AI frameworks that can be applied to ophthalmic imaging onboard the ISS to further understand SANS including supervised/unsupervised learning, generative adversarial networks, and transfer learning. We conclude by describing current research in this area to further understand SANS with the goal of enabling deeper insights into SANS and safer spaceflight for future missions. Full article
(This article belongs to the Special Issue Recent Advances in Neuro-Opthalmology)
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