Search bioRxiv⌕ Search

bioRxiv · 10.64898/2025.12.19.695412

Dopaminergic Control of Retinal Oscillations Driving Infantile Nystagmus

Abstract

Infantile nystagmus is a debilitating involuntary eye movement disorder often associated with retinal diseases such as Congenital Stationary Night Blindness (CSNB). The oscillating eye movements of infantile nystagmus come with reduced visual acuity, strongly impairing quality of life. No cure exists for this condition. Previously, we demonstrated that nystagmus in the CSNB mouse model Nyxnob has a retinal cause. Specifically, we found that synchronized oscillations of retinal ganglion cells (RGCs) are transmitted to the accessory optic system, triggering compensatory eye movements. The RGC oscillations appear to originate from a specific retinal cell type, the AII amacrine cell (AII AC), making these cells the preferred target for treatment. Here we found that pharmacologically activating the dopaminergic input to AII ACs in Nyxnob mice completely suppresses the pathological oscillations of both AII ACs and RGCs and improves the signal fidelity of RGCs. Moreover, our retinal network simulations confirm that the experimentally observed changes to AII AC voltage-gated currents are sufficient to account for the dopamine-dependent abolishment of these oscillations. Our findings provide a novel mechanistic understanding of the retinal mechanism underlying infantile nystagmus as well as the associated low visual performance. Consequently, they offer the first pharmacological therapeutic strategy for this disorder. SignificanceOscillatory eye movements in infantile nystagmus arise from abnormal retinal activity, yet the cellular basis of this instability has remained unclear. Here we show that this abnormal activity stems from disrupted dopaminergic modulation. By defining how dopamine regulates the activity of a key retinal cell type, the AII amacrine cell, we demonstrate that restoring dopamine levels can return the retinal circuit to a stable state and improve the clarity of visual signals leaving the eye. This work links neuromodulation to retinal circuit instability and identifies dopaminergic control of AII amacrine cells as a pharmacologically targetable point of intervention. These findings suggest a retina-focused pharmacological treatment strategy for infantile nystagmus, a disorder that currently lacks effective therapeutic options.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sermet, B. S., Kamermans, W., Winkelman, B. H. J., De Zeeuw, C. I., Kamermans, M.. 2025-12-22. Dopaminergic Control of Retinal Oscillations Driving Infantile Nystagmus. https://doi.org/10.64898/2025.12.19.695412

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗