Background: It has been reported in many previous studies that the lack of auditory input due to hearing loss (HL) can induce changes in the brain. However, most of these studies have focused on individuals with pre-lingual HL and have predominantly compared the characteristics of those with normal hearing (NH) to cochlear implant (CI) users in children. This study examined the visual and auditory evoked potential characteristics in NH listeners, individuals with bilateral HL, and CI users, including those with single-sided deafness. Methods: A total of sixteen participants (seven NH listeners, four individuals with bilateral sensorineural HL, and five CI users) completed speech testing in quiet and noise and evoked potential testing. For speech testing, the Korean version of the Hearing in Noise Test was used to assess individuals’ speech understanding ability in quiet and in noise (noise from the front, +90 degrees, and −90 degrees). For evoked potential testing, visual and auditory (1000 Hz, /ba/, and /da/) evoked potentials were measured. Results: The results showed that CI users understood speech better than those with HL in all conditions except for the noise from +90 and −90 degrees. In the CI group, a decrease in P1 amplitudes was noted across all channels after implantation. The NH group exhibited the highest amplitudes, followed by the HL group, with the CI group (post-CI) showing the lowest amplitudes. In terms of auditory evoked potentials, the smallest amplitude was observed in the pre-CI condition regardless of the type of stimulus. Conclusions: To the best of our knowledge, this is the first study that examined visual and auditory evoked potentials based on various hearing profiles. The characteristics of evoked potentials varied across participant groups, and further studies with CI users are necessary, as there are significant challenges in collecting and analyzing evoked potentials due to artifact issues on the CI side.

Objectives. In this study, we investigated the neurophysiological impact of active noise cancellation (ANC) technology on auditory–cognitive processing and listening effort, addressing a critical gap in the literature on ANC efficacy. Although ANC is increasingly adopted in contemporary devices, its influence on underlying neurophysiological mechanisms remains underexplored. Given that current assessment approaches rely predominantly on subjective measures, we employed a multi-condition experimental design integrating subjective self-reports with electroencephalographic assessments, thereby providing a more comprehensive evaluation of ANC’s capacity to mitigate cognitive load.Methods. Thirty participants underwent comprehensive audiological testing and cognitive event-related potential recordings during an auditory oddball paradigm to elucidate the efficacy of ANC functionality and its impact on cognitive processing, as indexed by the P3 component. Functional connectivity was quantified using the source-localized weighted phase-lag index, and graph-theory-based network analysis was applied to assess changes in neural efficiency under noisy conditions with and without ANC activation.Results. The analyses revealed significant alterations in low-β–band functional architecture across the central executive, dorsal attention, salience, and default mode networks during effortless listening with ANC enabled, compared with the effortful listening condition. Subjective listening effort correlated with network efficiency in the left posterior middle frontal gyrus, dorsal anterior cingulate cortex, and inferior parietal lobule during ANC-aided effortless listening tasks.Conclusion. Our findings suggest that ANC activation significantly reduces neural processing demands across key cognitive networks during effortless listening. These results reinforce the role of ANC in alleviating cognitive load and enhancing neural efficiency in auditory–cognitive processing. Furthermore, the findings provide empirical support to inform evidence-based noise mitigation strategies in both clinical and ecological contexts.