What Retinal Imaging Reveals About Mitochondrial Eye Disease
Published in Physics and General & Internal Medicine
Published in Neuroretina, the article Mitochondrial Retinopathies and Optic Neuropathies: Role of Imaging in Diagnosis, Follow-up and Clinical Management examines how advances in retinal and optic nerve imaging are transforming the clinical approach to these rare disorders. The review provides an overview of the key imaging techniques currently being used to identify characteristic patterns of disease, monitor structural changes over time and support patient care. Click here to open the article.
What makes this topic particularly timely is the rapid evolution of both imaging technologies and therapeutic research. As new treatments emerge, clinicians and researchers increasingly require reliable biomarkers that can capture disease progression and help evaluate treatment response. Imaging has become a crucial part of that conversation, offering a non-invasive way to visualise and quantify changes that were previously difficult to detect.
The publication of this review also highlights the growing scope of Neuroretina as a forum for research spanning neuro-ophthalmology, retinal disease and translational neuroscience. By bringing together clinical expertise and technological innovation, the journal continues to showcase work that advances our understanding of complex neurological and retinal disorders.
For readers interested in mitochondrial disease, retinal imaging or the future of precision ophthalmology, this article offers a valuable overview of a field where seeing more clearly may ultimately lead to better outcomes for patients.
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Neuroretina
This is a brand new open access journal, with a focus on using retinal imaging techniques alongside molecular and genetic markers to improve the understanding, diagnosis, and management of neurodegenerative diseases.
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Oculomics in Neurodegenerative Disease: From Biomarkers to Early Diagnosis
Research focusing on the development of machine learning models, longitudinal imaging studies, comparative biomarker studies, and cross-disciplinary applications is especially encouraged. Submissions may also discuss the integration of oculomics in clinical workflows and the challenges in translating findings from research to bedside.
Topics of Interest include (but are not limited to):
· Retinal and optic nerve biomarkers in Alzheimer’s and Parkinson’s disease
· OCT-based structural changes in neurodegeneration
· Retinal vasculature and microvascular anomalies in dementia risk
· AI and deep learning in ocular image analysis for neurodegenerative disease detection
· Correlation of ocular biomarkers with neuroimaging (MRI, PET) findings, and blood-based biomarkers
· Oculomic approaches in multiple sclerosis and demyelinating disorders
· Role of the retina in disease progression tracking and outcome prediction
· Multimodal oculomics combining imaging, genomics, and clinical data
· Challenges in standardizing ocular biomarkers for clinical application
· Population-based screening strategies using oculomics
· Animal models and experimental research linking retinal changes to brain pathology
Publishing Model: Open Access
Deadline: Oct 01, 2026