Abstract

Summary

This thesis investigates how early visual processing pathways — particularly the magnocellular and S-cone chromatic pathways — are altered by Parkinson's disease and represented in healthy human visual cortex, using electrophysiology, fMRI, and psychophysics. Findings suggest that visual pathway biomarkers may help classify neurodegenerative disease states, and that temporal contrast sensitivity varies across visual space in ways relevant to understanding lighting perception in clinical populations.
Abstract

Key Findings

  • Machine learning classifiers applied to multivariate visual response profiles from Drosophila and rodent Parkinson's disease models could accurately classify animals into their correct disease class.
  • Temporal contrast sensitivity differed as a function of visual space, with peripherally tuned voxels in early visual areas showing increased contrast sensitivity at high temporal frequencies.
  • Excitotoxicity was identified as a pathological mechanism in the visual system of Drosophila Parkinson's disease models.
  • 7T fMRI investigation of S-cone population receptive field (pRF) sizes failed to replicate the expected eccentricity-dependent increase in pRF size, indicating methodological complications.
Categories

Categories

Eye Health & Vision: Investigates low-level visual processing pathways (magnocellular and S-cone chromatic) and how they are compromised in neurological disease, particularly Parkinson's disease.
The Science of Light: Examines spectral sensitivity and photoreceptor pathway biology including S-cone and magnocellular pathways using fMRI and electrophysiology.
Dementia & Elder Care: Uses animal models of Parkinson's disease to identify pathological visual processing mechanisms relevant to neurodegenerative conditions.
Authors

Author(s)

MM Himmelberg
Publication Date

Publication Year

2019
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