Cochlear implants provide hearing perception to people with severe to profound hearing loss. The electrode array (EA) inserted during the surgery directly stimulates the hearing nerve, bypassing the acoustic hearing system. The complications during the EA insertion in the inner ear may cause trauma leading to infection, residual hearing loss, and poor speech perception. This work aims to reduce the trauma induced during electrode array insertion process by carefully designing a sensing method, an actuation system, and data-driven control strategy to guide electrode array in scala tympani. Due to limited intra-operative feedback during the insertion process, complex bipolar electrical impedance is used as a sensing element to guide EA in real time. An automated actuation system with three degrees of freedom was used along with a complex impedance meter to record impedance of consecutive electrodes. Prediction of EA direction (medial, middle, and lateral) was carried out by an ensemble of random forest, shallow neural network, and k-nearest neighbour in an offline setting with an accuracy of 86.86%. The trained ensemble was then utilized in vitro for prediction and correction of EA direction in real time in the straight path with an accuracy of 80%. Such a real-time system also has application in other electrode implants and needle and catheter insertion guidance.

Tactile processing is fundamental for our daily lives. In particular, adaptation, the mechanism by which neural (and behavioural) responses change due to repeated stimulation, is key in adjusting our responses to the environment and is often affected in neurodevelopmental conditions such as autism and ADHD. While GABA and glutamate—the main inhibitory and excitatory neurotransmitters— are known to be fundamental for encoding sensory input, we know little regarding the dynamic responses of the GABA and glutamatergic systems during tactile processing. Here, we examine how GABA and glutamine+glutamate (Glx) in vivo dynamics change during repetitive tactile stimulation and how these changes relate to tactile perception in a healthy population, using functional magnetic resonance spectroscopy (fMRS). Our study showed that repetitive tactile stimulation induced a decoupling between GABA and Glx during the first stimulation blocks as suggested by a negative correlation between GABA and Glx, which changed from a positive correlation at baseline. Subsequently, a multivariate time series analysis showed a predictive temporal relationship between Glx and GABA, showing that changes in these metabolites are temporally linked with an estimated lag of 6 seconds informing on a complex metabolite response function. The absence of gross metabolite change suggests that Glx and GABA adjust in relation to each other in response to repeated tactile stimulation. Furthermore, individual differences in the changed GABA and Glx levels correlated with perceptual measures of touch. Together, our study highlights the complex relationship between GABA and glutamate in tactile processing and demonstrates that experience-dependence plasticity induces a decoupling between these key metabolites. Further study into their dynamic interplay may be key to understanding adaptation as meso-levels in the brain and how these mechanisms differ in neurodevelopmental and neurological conditions.

Cochlear implants have significantly improved hearing for many as the most successful prosthesis, however, hearing outcomes vary. Uncertainty during electrode array (EA) insertion, including trauma and depth control, is one factor. To minimize radiation exposure from imaging methods like CT scans, this in-vitro study investigates the use of bipolar electrode impedance and artificial intelligent models to determine EA insertion depth. Complex impedance data was collected by inserting a commercial EA into a scaled-up 2D scala tympani model using a robotic feeder system. A support vector machine model produced a 98% classification accuracy for final insertion depth estimation. A CNN-LSTM hybrid model yielded 0.85 R-squared and 1.72 mm mean absolute error in depth estimation at each millimeter during a 25 mm insertion. This approach to depth assessment based on impedance may help with cochlear implant procedures and find use in other medical implant applications.