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

L. Kälble, T. Tykalova, D. Zogala, P. Dusek, J. Rusz, M. Novotny

. 2025 ; 11 (1) : 153. [pub] 20250606

Status not-indexed Language English Country United States

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc25014218

Grant support
NU23J-04-00042 Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic)
NU23J-04-00042 Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic)
NU23J-04-00042 Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic)
LX22NPO5107 Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports)
LX22NPO5107 Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports)
LX22NPO5107 Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports)
LX22NPO5107 Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports)

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.

References provided by Crossref.org

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$a 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.
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