Signed difference between the control and adapted conditions for PECAP's neural-responsiveness estimate (left), the eCAP amplitudes (middle), and the FI (right) for all electrodes. Each electrode is numbered regarding the location of the pre-pulses (target electrode, red vertical dashed line). Only electrodes with data from at least 5 participants are shown. Thin light gray lines represent the seven individual participants; the solid black line represents the across-participant means, and the shaded regions representβΒ±β1 standard deviation. Asterisks (*) indicate electrodes for which the metric's signed difference metric differed significantly from zero across participants. (*p < Ξ±, Ξ±β=β0.05/5β=β0.01.) Please refer to the full article for the figure intepretation.
We compared the Failure Index method (Konerding et al., 2025) to the PECAP method (Garcia et al., 2021) in characterising the electrode-neuron interface in #cochlearimplant: doi.org/10.1121/10.0...
@charlottegarcia.bsky.social
20.08.2025 10:18 β
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Results of three phase-locked neural responses (eCAP, eABR, eASSR) to stimulation with cochlear implants. Strong correlation between eCAP growth and eASSR growth (0.79), eCAP growth function slope and single-pulse stimulus inverse dynamic range (0.58), and eASSR gorwth function slope and its respective stimulus inverse dynamic range (0.61 - 0.71).
We measured three neural responses (eCAP, eABR, eASSR) to stimulation with #cochlearimplant using the same stimulus to disentangle the effects of response type and of stimulus type on neural response properties: doi.org/10.1016/j.heares.2025.109338
23.07.2025 09:52 β
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Left panel: STRIPES stimuli. Upper panel (A): STRIPES stimuli at low density, consisting of three intervals of either downward sweeps or upward sweeps (the target). "Low density" means that the sweeps are presented with at a lower rate (e.g. 1 full sweep/second). Middle panel (B): STRIPES stimuli stimilar to A but at higher density (e.g. 3 full sweeps/second). C. Electrodograms of STRIPES stimuli.
Right panel: achieved STRIPES thresholds of 10 MED-EL and 3 Cochlear users (for comparison). Performance varied greatly between subjects. On average MED-EL users achieved STRIPES thresholds within the range from 3 to 4, and comparable scores across presentation levels. There were some learning effects in webSTRIPES performance before and after testing for standard STRIPES.
Our extended validation of the STRIPES test involves measuring STRIPES and webSTRIPES performance at different presentation levels in Med-El #cochlearimplant users: doi.org/10.1097/AUD.0000000000001676
14.07.2025 10:12 β
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Our latest article pools data from 9 centres & shows how the PECAP Method characterises current spread in individual cochlear implant patients & how this varies based on electrode array geometries: doi.org/10.1097/AUD.... #cochlearimplant #personalisedhealthcare βͺ@charlottegarcia.bsky.socialβ¬
02.07.2025 12:16 β
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Limitations on Temporal Processing by Cochlear Implant Users: A Compilation of Viewpoints - Robert P. Carlyon, John M. Deeks, Bertrand Delgutte, Yoojin Chung, Maike Vollmer, Frank W. Ohl, Andrej Kral,...
Cochlear implant (CI) users are usually poor at using timing information to detect changes in either pitch or sound location. This deficit occurs even for liste...
Earlier this year, Bob Carlyon and John Deeks from our group, together with world experts in cochlear implant research, share their opinions on temporal processing in cochlear implant and propose future research directions. Check out this comprehensive review at: doi.org/10.1177/2331...
27.06.2025 09:27 β
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Alexis Deighton MacIntyre and Lidea Shahidi @mrccbu.bsky.social will explore the experimental control & generative capabilities of state-of-the-art speech synthesis to produce audiological testing materials and conduct evaluation to ensure fit for use in clinical tests to assess speech perception.
09.12.2024 16:50 β
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Congratulations to our Lead, Debi Vickers, on being voted in as #President Elect of the #European Federation of Audiological Societies #EFAS. We wish her success in shaping the #future of #Audiology to ultimately improve #hearinghealth for all
16.05.2025 17:16 β
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SOUND Laboratory β Department of Clinical Neurosciences
Department of Clinical Neurosciences
Prof. Debi Vickers' SOUND Lab focuses on improving outcomes for people who use #hearing devices. Our clinicians and researchers work with people who use hearing devices to ensure our research is relevant. Visit our new website to learn more about our research: sound-lab.medschl.cam.ac.uk
09.05.2025 08:52 β
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Cambridge Hearing Group scientists present their lastest work on AI applications in cochlear implants research.
Tobias and Baha present their work on AI applications in improving speech perception and speech testing for #cochlearimplant users at #BCIG_UK!
#AI #hearing #speech
02.04.2025 15:00 β
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Check out our new paper "Temporal Pitch Perception of Multi-Channel Stimuli by Cochlear-Implant Users"!!! π₯³
01.04.2025 15:45 β
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Hi, this is the Cambridge Hearing Group's official Bluesky account! We are hearing researchers at @mrccbu.bsky.social and University of Cambridge. Our focus is on understanding and improving listening with #cochlearimplants
01.04.2025 15:43 β
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