Recording EEG in cochlear implant users: Guidelines for experimental design and data analysis for optimizing signal quality and minimizing artifacts.

Cochlear implants (CI) are neural prostheses that can restore hearing in individuals with severe to profound hearing loss. Although CIs significantly improve quality of life, clinical outcomes are still highly variable. An important part of this variability is explained by the brain reorganization following cochlear implantation.

Visual cortex plasticity in cochlear implant users revealed in a visual motion detection task.

Objective: The aim of this study was to investigate brain reorganization following cochlear implantation using electroencephalography, an implant-compatible technique to record electrical brain activity.

Methods: We investigated cortical plasticity in cochlear implant (CI) users using visual evoked potentials in response to visual motion changes. We estimated visual and auditory neural sources in CI users (n = 20) and normal hearing (NH) matched control participants (n = 22).

Temporal integration of short-duration pulse trains in cochlear implant listeners: Psychophysical and electrophysiological measurements.

While electrically-evoked auditory brainstem response (eABR) thresholds for low-rate pulse trains correlate well with behavioral thresholds measured at the same rate, the correlation is much weaker with behavioral thresholds measured at high rates, such as used clinically. This implies that eABRs to low-rate stimuli cannot be reliably used for objective programming of threshold levels in cochlear implant (CI) users. Here, we investigate whether the use of bunched-up pulses (BUPS), consisting of groups of closely-spaced pulses may be used as an alternative stimulus.

Music training enhances the automatic neural processing of foreign speech sounds.

Growing evidence shows that music and language experience affect the neural processing of speech sounds throughout the auditory system. Recent work mainly focused on the benefits induced by musical practice on the processing of native language or tonal foreign language, which rely on pitch processing. The aim of the present study was to take this research a step further by investigating the effect of music training on processing English sounds by foreign listeners.

Native language shapes automatic neural processing of speech.

The development of the phoneme inventory is driven by the acoustic-phonetic properties of one's native language. Neural representation of speech is known to be shaped by language experience, as indexed by cortical responses, and recent studies suggest that subcortical processing also exhibits this attunement to native language. However, most work to date has focused on the differences between tonal and non-tonal languages that use pitch variations to convey phonemic categories.