AIMC Topic: Retinal Ganglion Cells

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The neuronal chaperone proSAAS is highly expressed in the retina.

PloS one May 16, 2025
The many layers of the neuroretina contain a complex, interconnected network of specialized neurons that both process visual stimuli and conduct processed information to higher brain areas. Neural networks rely on proteostatic control mechanisms to m...
Mice Mice, Inbred C57BL Retina Retinal Ganglion Cells Molecular Chaperones Humans Animals
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Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning.

Scientific reports Dec 28, 2024
We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF a...
Female Adult Male Middle Aged Tomography, Optical Coherence Retinal Ganglion Cells Visual Fields Macula Lutea Optic Neuritis Humans Machine Learning
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Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model.

Chinese medical journal Dec 23, 2024
BACKGROUND: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important characteristic of acute glaucoma. Receptor-interacting protein kinase 3 (RIPK3) that mediates necroptosis is a potential therapeutic target for RGC deat...
Molecular Docking Simulation Mice Neuroprotective Agents Disease Models, Animal Mice, Inbred C57BL Glaucoma Artificial Intelligence Animals Male Retinal Ganglion Cells Receptor-Interacting Protein Serine-Threonine Kinases
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Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Humans Retrospective Studies Female Aged Deep Learning ROC Curve Follow-Up Studies Tomography, Optical Coherence Optic Disk Intraocular Pressure Male Middle Aged Disease Progression Macula Lutea Retinal Vessels Glaucoma, Open-Angle Retinal Ganglion Cells Visual Fields Visual Field Tests Fluorescein Angiography
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Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.

Nature communications Jul 16, 2024
Adaptation is a universal aspect of neural systems that changes circuit computations to match prevailing inputs. These changes facilitate efficient encoding of sensory inputs while avoiding saturation. Conventional artificial neural networks (ANNs) h...
Adaptation, Physiological Models, Neurological Retina Retinal Ganglion Cells Photic Stimulation Neural Networks, Computer Female Animals Male Deep Learning Rats
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Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects.

The British journal of ophthalmology Jun 20, 2024
BACKGROUND/AIMS: To assess the performance of deep-learning (DL) models for prediction of conversion to normal-tension glaucoma (NTG) in normotensive glaucoma suspect (GS) patients.
Ocular Hypertension Tonometry, Ocular Low Tension Glaucoma Nerve Fibers Humans Optic Disk Algorithms Retinal Ganglion Cells Retrospective Studies Visual Fields Female Deep Learning Aged ROC Curve Intraocular Pressure Follow-Up Studies Male Blood Pressure Middle Aged Disease Progression
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Assessing the efficacy of 2D and 3D CNN algorithms in OCT-based glaucoma detection.

Scientific reports May 23, 2024
Glaucoma is a progressive neurodegenerative disease characterized by the gradual degeneration of retinal ganglion cells, leading to irreversible blindness worldwide. Therefore, timely and accurate diagnosis of glaucoma is crucial, enabling early inte...
Humans Neural Networks, Computer Optic Disk Retinal Ganglion Cells Glaucoma Algorithms Imaging, Three-Dimensional Tomography, Optical Coherence
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Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans.

American journal of ophthalmology May 3, 2024
PURPOSE: To develop deep learning (DL) algorithm to detect glaucoma progression using optical coherence tomography (OCT) images, in the absence of a reference standard.
Algorithms Retrospective Studies Female Aged Intraocular Pressure Male Aging Middle Aged Disease Progression Humans Neural Networks, Computer Glaucoma Optic Disk Retinal Ganglion Cells Visual Fields Optic Nerve Diseases Glaucoma, Open-Angle Deep Learning Follow-Up Studies Tomography, Optical Coherence Nerve Fibers
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Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

American journal of ophthalmology Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Middle Aged Disease Progression Deep Learning ROC Curve Follow-Up Studies Vision Disorders Area Under Curve Tomography, Optical Coherence Nerve Fibers Humans Female Glaucoma Aged Algorithms Intraocular Pressure Retrospective Studies Male Optic Disk Retinal Ganglion Cells Optic Nerve Diseases Visual Fields Glaucoma, Open-Angle Visual Field Tests
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Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography.

Acta neuropathologica communications Feb 1, 2024
Excitotoxicity from the impairment of glutamate uptake constitutes an important mechanism in neurodegenerative diseases such as Alzheimer's, multiple sclerosis, and Parkinson's disease. Within the eye, excitotoxicity is thought to play a critical rol...
Animals Deep Learning Rats Rats, Long-Evans N-Methylaspartate Retinal Degeneration Tomography, Optical Coherence Retina Nerve Fibers Retinal Ganglion Cells
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