A novel retinal biomarker for Parkinson's disease: Quantifying the foveal pit with optical coherence tomography

Samantha Slotnick, Yin Ding, Sofya Glazman, Mary Durbin, Shahnaz Miri, Ivan Selesnick, Jerome Sherman, Ivan Bodis-Wollner

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Optical coherence tomography offers a potential biomarker tool in Parkinson's disease (PD). A mathematical model quantifying symmetry, breadth, and depth of the fovea was applied. Methods: Nintey-six subjects (72 PD and 24 healthy controls) were included in the study. Macular scans of each eye were obtained on two different optical coherence tomography devices: Cirrus and RTVue. Results: The variables corresponding to the cardinal gradients of the fovea were the most sensitive indicators of PD for both devices. Principal component analysis distinguished 65% of PD patients from controls on Cirrus, 57% on RTVue. Conclusion: Parkinson's disease shallows the superior/inferior and to a lesser degree nasal-temporal foveal slope. The symmetry, breadth, and depth model fits optical coherence tomography data derived from two different devices, and it is proposed as a diagnostic tool in PD.

Original languageEnglish (US)
Pages (from-to)1692-1695
Number of pages4
JournalMovement Disorders
Volume30
Issue number12
DOIs
StatePublished - Oct 2015

Keywords

  • Foveal pit
  • Optical coherence tomography
  • Parkinson's disease
  • Principal component analysis
  • SBD model

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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