Measuring Spectrotemporal Sensitivity in Cochlear Implant Users With a Reaction-Time Paradigm: A Comparison of Two Implementations.
Elisabeth Noordanus, Lucas H M Mens, Josef Chalupper and 3 others
PMID 41913479WHAT IT FOUND
Cochlear implant users' reaction times to a change in an ongoing noise were reproducible across a phone app and a lab laptop 2 to 3 months apart.
Faster responses went with better speech-in-noise scores. The app is not yet ready for clinic use.
Key findings
01Reaction times to the same sounds matched closely between the phone app and the lab laptop within the same person, even though the two sessions were 2 to 3 months apart (correlations from 0.56 to 0.98, median 0.89).
02People who responded faster to the ripple sounds tended to have better speech-in-noise thresholds; the same 8 of 17 sounds showed this link in both implementations, most strongly for the broadband 0.25 cycles/octave ripple with no temporal modulation, the 0.5 cycles/octave ripple modulated at 8 Hz and the narrowband 4 kHz ripple.
03Each person had their own pattern of which sounds were easy and which were hard, and those patterns differed markedly from one participant to another rather than one person simply being faster than another.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The main results rest on 19 people using one manufacturer's implant (Advanced Bionics) at a single centre. There was no control group and no treatment: the study measures sensitivity, it does not test whether anything improves it. The app was always used first and the laptop about 3 months later. The authors cannot fully rule out that people simply got better at the task through practice, though they argue the interval was too long for that to matter much and that learning would not show up as a fixed shift across sounds. The delay added by the phone's Bluetooth and touchscreen could not be measured directly, so it was estimated as one average figure of 470 ms from three easy sounds. Any error in that estimate applies to every app response. The 17 sounds were chosen in advance for their expected link to speech-in-noise performance, not sampled from the full range, so many combinations of spectral and temporal modulation were never presented. Speech-in-noise could not be scored in one participant whose results stayed below 50% even at the loudest speaker output, and one participant withdrew after the first session. One further participant had implant settings changed between sessions, which the paper does not adjust for. The link between reaction times and speech-in-noise scores is a correlation across people. The study does not show that changing someone's sensitivity would change their speech perception. For two participants who often responded to the sound with no modulation, the authors state they cannot tell whether those responses came from the device's automatic gain control or from a faint perceived change.
Declared interests
The study was funded by the Dutch science funder NWO-TTW (projects NeuroCIMT 'Otocontrol', nr. 14899, and 'OtoControl-2.0', nr. 20414) and by Advanced Bionics GmbH, the company that makes the implant and the research app tested here. The authors declared no potential conflicts of interest. The app is an Advanced Bionics product, and the simulations of implant electrode output were run with software provided by Advanced Bionics.
The easy way to misread this
Do not read this as evidence that a home monitoring app improves cochlear implant outcomes. It shows only that the test can be done outside the lab and gives consistent numbers; whether timing someone's responses changes fitting decisions or speech perception was not tested, and the authors state that an at-home pilot study is still required.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →