Table 2 Overview of neural function-based studies for CI outcome prediction

From: A systematic review of machine learning approaches in cochlear implant outcomes

Study

Data Characteristics

Outcome Measure and Model Accuracy

Comment

Children

Lu et al.23

Stability selection method to select robust features from averaged audiological and radiographic data; Children with cochlear nerve deficiency with anatomically normal cochlea = 70 mean age of 27.31 months (SD = 13.92 months)

Categories of auditory performance, speech intelligibility rating, infant/toddler meaningful auditory integration scale;

SVM: Accuracy

Hearing rehabilitation = 71%

Speech rehabilitation = 93%

Nerve bundle volume and a larger vestibulocochlear nerve area correlated with better CI outcomes.

Adults

Kyong et al.22

EEG measures (cAEPs), cSEPs and cVEPs); Adults with CIs= 3

Latency, amplitude, current source density; SVM model

Accuracy:

auditory: 82.71%, tactile: 98.88%, visual: 93.5%

Tactile response was a key indicator of speech recognition ability in individuals with CIs.

Children and Adults

Skidmore et al.24

eCAP parameters (N1latency, threshold, slope); Children with cochlear nerve deficiency = 23 mean age= 3.42 years,

children with normal-sized cochlear nerves = 29 mean age=3.18 years, adults with normal-sized cochlear nerves = 20 mean age= 69.22 years

Cochlear nerve index;

Accuracy

Linear regression: 91%, SVM: 93%, and logistic regression: 95%

Models predicted two distinct cochlear nerve index distributions for cochlear nerve deficiency and normal-sized cochlear nerves. In adult CI users, cochlear nerve function correlated with speech perception outcomes.

  1. CIs cochlear implants, eCAP electrically evoked compound action potentials, SVM support vector machine.