Title

Application of an OCT data-based mathematical model of the foveal pit in Parkinson disease

Publication Date

2014

Journal Title

J Neural Transm (Vienna).

Abstract

Spectral-domain Optical coherence tomography (OCT) has shown remarkable utility in the study of retinal disease and has helped to characterize the fovea in Parkinson disease (PD) patients. We developed a detailed mathematical model based on raw OCT data to allow differentiation of foveae of PD patients from healthy controls. Of the various models we tested, a difference of a Gaussian and a polynomial was found to have "the best fit". Decision was based on mathematical evaluation of the fit of the model to the data of 45 control eyes versus 50 PD eyes. We compared the model parameters in the two groups using receiver-operating characteristics (ROC). A single parameter discriminated 70 % of PD eyes from controls, while using seven of the eight parameters of the model allowed 76 % to be discriminated. The future clinical utility of mathematical modeling in study of diffuse neurodegenerative conditions that also affect the fovea is discussed.

Volume Number

121

Issue Number

11

Pages

1367-1376

Document Type

Article

Status

Northwell Researcher

Facility

Northwell Health

Primary Department

Neurology

PMID

24748549

DOI

10.1007/s00702-014-1214-2