Resting-State Functional Connectivity Predicts Cochlear-Implant Speech Outcomes.
Jamal Esmaelpoor, Tommy Peng, Beth Jelfs and 3 others
PMID 39680488WHAT IT FOUND
In 23 cochlear-implant adults, resting brain-network connectivity measured with light tracked 12-month speech scores.
Higher connectivity was linked to better speech understanding, beyond age and deafness duration.
Key findings
01At 12 months, the average brain-network clustering measure was significantly associated with CNC word scores, CNC phoneme scores, and BKB sentence scores.
02Clustering measures recorded before implantation and at 1 and 3 months postimplantation were associated with 12-month speech scores.
03When age and deafness duration were included in the same models, the clustering coefficient still showed significant associations with multiple speech scores.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
Only 23 adults were analysed, and 4 of 27 did not complete the 12-month test. All participants were postlingually deaf adults with Nucleus implants, so the results may not apply to children, prelingually deaf adults, or users of other devices. All participants passed the trail-making tests, so the study does not address cochlear-implant users with cognitive impairment. The fNIRS montage covered bilateral temporal lobes and left prefrontal and occipital areas, not the whole brain. The measure depended on channel density, and removing channels reduced accuracy. Deafness duration was self-reported and described as subjective, so it may be imprecise. The supplied text reports significance but does not give the correlation coefficients or clinical thresholds. The study was observational and did not test whether using the measure changes implantation decisions, device fitting, or rehabilitation.
Declared interests
The authors declared no conflicts of interest. Funding was named as Garnett Passe and Rodney Williams Memorial Foundation and Melbourne Research, University of Melbourne.
The easy way to misread this
Do not treat the clustering measure as a clinical predictor. It was tested in 23 adults with one implant brand, and the supplied text does not give correlation values, cut-off scores, or evidence that it changes patient care.