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Related Concept Videos

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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Vision01:24

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Jun 6, 2025

Investigations on Alterations of Hippocampal Circuit Function Following Mild Traumatic Brain Injury
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Investigations on Alterations of Hippocampal Circuit Function Following Mild Traumatic Brain Injury

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Primary Visual Pathway Changes in Individuals With Chronic Mild Traumatic Brain Injury.

Marselle A Rasdall1, Chloe Cho2,3, Amy N Stahl1

  • 1Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, Tennessee.

JAMA Ophthalmology
|November 27, 2024
PubMed
Summary
This summary is machine-generated.

Mild traumatic brain injury (TBI) can cause visual dysfunction, even without self-reported symptoms. Advanced diagnostic tools, including machine learning, can identify these subtle visual system changes in TBI patients.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Medical Diagnostics

Background:

  • Individuals with mild traumatic brain injury (TBI) frequently experience vision problems despite normal visual acuity and fundus examinations.
  • There is a critical need for effective diagnostic methods to identify visual dysfunction in patients with mild TBI.

Purpose of the Study:

  • To evaluate the effectiveness of a comprehensive battery of assessments and machine-learning approaches in diagnosing visual dysfunction in patients with mild TBI.

Main Methods:

  • A prospective, observational, case-control study involved 28 mild TBI patients and 28 matched controls.
  • Assessments included oculomotor function, optical coherence tomography, contrast sensitivity, visual evoked potentials, visual field testing, and MRI.
  • Machine learning algorithms were employed to analyze data from the primary visual pathway.

Main Results:

  • Mild TBI patients exhibited significantly reduced prism convergence breakpoints and recovery points.
  • Decreased contrast sensitivity and increased visual evoked potential binocular summation index were observed in the mild TBI group.
  • Machine learning detected subtle visual pathway differences, including in the optic radiations and occipital lobe, irrespective of reported symptoms.

Conclusions:

  • The visual system is demonstrably affected in individuals with mild TBI, even when vision problems are not self-reported.
  • A combination of detailed visual assessments and machine learning shows promise for accurately diagnosing visual dysfunction post-mild TBI.