Automatic analysis of eyelid movement in de-novo Parkinson's disease

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00383997" target="_blank" >RIV/68407700:21230/25:00383997 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/25:10499947 RIV/00064165:_____/25:10499947

Výsledek na webu

<a href="https://doi.org/10.1038/s41531-025-01021-z" target="_blank" >https://doi.org/10.1038/s41531-025-01021-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41531-025-01021-z" target="_blank" >10.1038/s41531-025-01021-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic analysis of eyelid movement in de-novo Parkinson's disease

Popis výsledku v původním jazyce

This study presents an automated, objective method for eyelid movement assessment in de-novo Parkinson's disease(PD) using a one-dimensional camera setup during monologue. These measurements were related to Dopamine Transporter Single Photon Emission Tomography and clinical scores. State-of-the-art computer-vision technologies and deep-learning neural networks were utilized to measure fourteen eyelid movement markers describing blinking and eyelid kinematics. Video-recordings were collected from a total of 120 de-novo patients with PD and 55 healthy controls. Abnormal blinking was present in 38% of PD, indicated by a reduced blink rate (p < 0.001), an increased inter-blink interval (p < 0.001), and an increased rigidity of the palpebral aperture (p < 0.001). The classification experiment reached an area under the curve of 0.81 on a blinded test set. The blink rate correlated with the loss of nigral dopaminergic neurons (r = 0.35, p < 0.001). These findings suggest eyelid movement markers as strong reflections of striatal dopaminergic activity levels, underscoring the method's potential as a reliable early PD biomarker.

Název v anglickém jazyce

Automatic analysis of eyelid movement in de-novo Parkinson's disease

Popis výsledku anglicky

This study presents an automated, objective method for eyelid movement assessment in de-novo Parkinson's disease(PD) using a one-dimensional camera setup during monologue. These measurements were related to Dopamine Transporter Single Photon Emission Tomography and clinical scores. State-of-the-art computer-vision technologies and deep-learning neural networks were utilized to measure fourteen eyelid movement markers describing blinking and eyelid kinematics. Video-recordings were collected from a total of 120 de-novo patients with PD and 55 healthy controls. Abnormal blinking was present in 38% of PD, indicated by a reduced blink rate (p < 0.001), an increased inter-blink interval (p < 0.001), and an increased rigidity of the palpebral aperture (p < 0.001). The classification experiment reached an area under the curve of 0.81 on a blinded test set. The blink rate correlated with the loss of nigral dopaminergic neurons (r = 0.35, p < 0.001). These findings suggest eyelid movement markers as strong reflections of striatal dopaminergic activity levels, underscoring the method's potential as a reliable early PD biomarker.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30210 - Clinical neurology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

npj Parkinsons Disease

ISSN

2373-8057

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

—

Kód UT WoS článku

001504265100002

EID výsledku v databázi Scopus

2-s2.0-105007448364