MEYE: Web App for Translational and Real-Time Pupillometry.
arousal
neural network
oddball
pupillometry
virtual reality
web app
Journal
eNeuro
ISSN: 2373-2822
Titre abrégé: eNeuro
Pays: United States
ID NLM: 101647362
Informations de publication
Date de publication:
Historique:
received:
24
03
2021
revised:
07
06
2021
accepted:
09
06
2021
pubmed:
15
9
2021
medline:
21
10
2021
entrez:
14
9
2021
Statut:
epublish
Résumé
Pupil dynamics alterations have been found in patients affected by a variety of neuropsychiatric conditions, including autism. Studies in mouse models have used pupillometry for phenotypic assessment and as a proxy for arousal. Both in mice and humans, pupillometry is noninvasive and allows for longitudinal experiments supporting temporal specificity; however, its measure requires dedicated setups. Here, we introduce a convolutional neural network that performs online pupillometry in both mice and humans in a web app format. This solution dramatically simplifies the usage of the tool for the nonspecialist and nontechnical operators. Because a modern web browser is the only software requirement, this choice is of great interest given its easy deployment and setup time reduction. The tested model performances indicate that the tool is sensitive enough to detect both locomotor-induced and stimulus-evoked pupillary changes, and its output is comparable to state-of-the-art commercial devices.
Identifiants
pubmed: 34518364
pii: ENEURO.0122-21.2021
doi: 10.1523/ENEURO.0122-21.2021
pmc: PMC8489024
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Commentaires et corrections
Type : ErratumIn
Informations de copyright
Copyright © 2021 Mazziotti et al.
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