Oculomotor Biomarkers
Oculomotor Biomarkers - Related Videos
04:29
Ex Vivo Culture and Imaging of Oculomotor Slices from Transgenic Mouse Embryos
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2025
This video demonstrates the ex vivo culture and imaging of oculomotor slices from transgenic mouse embryos. The embryos are isolated and embedded in agarose. Using a vibratome, slices containing the oculomotor nuclei and eyes are obtained. The slices are maintained in culture and imaged using a fluorescence microscope.
10:41
VisualEyes: A Modular Software System for Oculomotor Experimentation
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Cited by 28 •
2011
Neural control and cognitive processes can be studied through eye movements. The VisualEyes software allows an operator to program stimuli on two computer screens independently using a simple, custom scripting language. The system can stimulate tandem eye movements (saccades and smooth pursuit) or opposing eye movements (vergence) or any combination.
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
07:57
Isolation and Culture of Oculomotor, Trochlear, and Spinal Motor Neurons from a Mouse Embryo
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2025
The video demonstrates the isolation of oculomotor, trochlear, and spinal motor neurons from a transgenic mouse embryo. The embryo expresses motor neurons labeled with a green fluorescent protein (GFP) for easy visualization and identification. The motor neurons are surgically isolated under a fluorescence microscope and maintained in a culture medium.
08:28
An Overview of bGDGT Biomarker Analysis for Paleoclimatology
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
FAQs
Saccade latency and accuracy reflect different features of eye-movement control: latency captures how quickly a response begins, whereas accuracy indicates how closely the eye reaches the intended location. Their value comes from linking behavior to coordinated cortical, cerebellar, and brainstem circuits rather than treating a single eye-movement measure as a complete neural readout.
Smooth-pursuit gain and fixation stability probe complementary aspects of oculomotor function. Smooth-pursuit gain reflects performance during visual tracking, while fixation stability addresses how consistently the eyes remain controlled when maintaining a fixation. These measures can be interpreted alongside saccade latency, accuracy, and antisaccade errors to separate tracking and holding demands rather than relying on one parameter.
Antisaccade errors add another measure of performance to the biomarker set. In combination with saccade latency and accuracy, they broaden characterization of attention and sensorimotor control that may not be captured by a single movement feature. Their interpretation remains tied to the coordinated brain circuits engaged by the visual stimulus.
An eye-tracking assessment presents visual stimuli and records the resulting eye movements for quantitative analysis. The system can derive saccade latency and accuracy, smooth-pursuit gain, fixation stability, and antisaccade errors from these responses. This measurement framework lets investigators examine several components of brain function and dysfunction using objective, noninvasive observations of eye behavior.
Oculomotor biomarkers support research across Parkinson’s disease, schizophrenia, multiple sclerosis, and traumatic brain injury. Their value is not limited to naming a diagnosis: the measures can characterize attention, sensorimotor control, and neural connectivity across these contexts. This makes them useful for examining how brain-related dysfunction appears in different conditions.
Repeated collection makes it possible to examine whether measured eye-movement features change over time. Because the measures can be collected objectively and repeatedly, investigators may use them for disease monitoring and for evaluating treatment-related changes. They may also contribute to early detection research and the characterization of brain dysfunction.