Combination of static and dynamic neural imaging features to distinguish sensorineural hearing loss: a machine learning study
Yuanqing Wu,
Jun Yao,
Xiao-Min Xu
et al.
Abstract:PurposeSensorineural hearing loss (SNHL) is the most common form of sensory deprivation and is often unrecognized by patients, inducing not only auditory but also nonauditory symptoms. Data-driven classifier modeling with the combination of neural static and dynamic imaging features could be effectively used to classify SNHL individuals and healthy controls (HCs).MethodsWe conducted hearing evaluation, neurological scale tests and resting-state MRI on 110 SNHL patients and 106 HCs. A total of 1,267 static and … Show more
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