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Cochlear Implantation

2015· article· en· W2219540658 on OpenAlexaboutno aff
Fan‐Gang Zeng, Shiming Yang, Zhiqiang Gao

Bibliographic record

VenueThe Hearing Journal · 2015
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCochlear implantAudiologyPhoneMedicineLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Figure.: Bruce J. Gantz, MD, of the University of Iowa designed special electrodes to produce a hybrid cochlear implant that preserves low-frequency acoustic hearing.The 10th Asia–Pacific Symposium on Cochlear Implants and Related Sciences (APSCI 2015) drew about 2,000 professionals to discuss the latest research in Beijing from April 30 to May 3. The number of attendees was unprecedented, the weather cooperative, and the venue splendid, but the science was even better.Figure.: Fan-Gang Zeng, PhDOne hot topic that consistently came up at the conference was how to narrow the remaining gaps between prosthetic and normal hearing.Figure.: Shi-Ming Yang, MD, PhDBlake S. Wilson, DSc, DEng, of Duke University reviewed the progress of cochlear implant performance from essentially chance-level success with single-channel devices in the 1980s to today's multichannel devices that even allow most users to carry on cell phone conversations. He also noted a lack of improvement in unilateral cochlear implant performance in the last two decades and suggested that improving unilateral performance serves as a “bedrock” critical to narrowing the gap between prosthetic and normal hearing.Figure.: Zhiqiang Gao, MDAs a means to improve unilateral performance, Ingeborg Hochmair, PhD, of MED-EL advocated the use of deep electrodes to access low-frequency neurons while matching them with appropriate temporal fine structure (Hear Res 2015;322:14-23http://www.sciencedirect.com/science/article/pii/S0378595514001701). For people with residual low-frequency acoustic hearing, Bruce J. Gantz, MD, of the University of Iowa designed special electrodes to produce a hybrid cochlear implant that preserves low-frequency acoustic hearing, augmenting and enhancing the implant performance. To achieve a hybrid hearing advantage, acoustic hearing better than 85 dB pure-tone average (PTA) between 125 Hz and 1,000 Hz needs to be preserved, preferably using the short (10-mm) electrodes while saving the long (16- or 20-mm) electrodes for people who are older than 70 and have more than 30 years of profound loss at high frequencies. Most surgeons also favored atraumatic insertion and structural preservation in cochlear implantation, which are critical to both short-term protection and long-term maintenance of residual acoustic hearing. Using a biological approach in an animal model, Shi-Ming Yang, MD, PhD, of Chinese People's Liberation Army General Hospital in Beijing demonstrated that stem cells promote auditory nerve growth toward the intra-cochlear electrodes, reducing power consumption while increasing spatial selectivity. This technique, similar to a gene-therapy approach (Sci Transl Med 2014;6[233]:233ra54http://stm.sciencemag.org/content/6/233/233ra54.long), may still be years away from human application, but it represents a promising future direction for enhancing the nerve–electrode interface and ultimately the bionic ear performance. BINAURAL HEARING: SENSITIVE PERIOD Another major area covered at the conference was understanding and utilizing brain plasticity in cochlear implantation. Robert Briggs, MBBS, of the University of Melbourne reviewed lessons learned from cochlear implant outcomes in children over the past 30 years, such as the younger the implant age, the better the outcome, particularly for children implanted before their first birthday. Other significant factors are the child's cognitive status and communication mode, with superior outcomes related to an oral versus a signing environment. A somewhat surprising finding was that children with bilateral implants have better language outcomes than those with unilateral implants (Ear Hear 2014;35[4]:396-409http://journals.lww.com/ear-hearing/pages/articleviewer.aspx?year=2014&issue=07000&article=00002&type=abstract). Additional studies have indicated a sensitive period for developing functional binaural hearing and a preference for simultaneous bilateral implantation in children (Brain 2013;136[pt 5]:1609-1625http://brain.oxfordjournals.org/content/136/5/1609.long). Blake Papsin, MD, MSc, from the University of Toronto found abnormally permanent hemisphere dominance contralateral to the stimulated ear in unilaterally implanted children that could not be reversed by sequential bilateral implantation. Seung Ha Oh, MD, PhD, of Seoul National University revealed significant differences in brain activation between prosthetic and normal hearing, suggesting that cochlear implant users engage additional brain areas and likely require a higher than normal cognitive load to understand degraded speech (Hum Brain Mapp 2015;36[5]:1982-1994http://onlinelibrary.wiley.com/doi/10.1002/hbm.22750/abstract;jsessionid=7EB5C2F0E156A09EA26B86938E7F7D49.f03t04). Overall, these studies suggest that greater plasticity in younger children facilitates improved results. REGIONAL CONCERNS A unique aspect of the conference was the in-depth discussion of topics relevant to the Asia–Pacific region. Researchers presented different ways to improve tone perception, including two eTone strategies that were both based on temporal envelope manipulations but independently devised by Cochlear and Nurotron. Cochlear implants were developed by Western scientists who did not consider the proper transfer of tones, which carry lexical meaning in many Asian languages, such as Mandarin, Cantonese, Thai, and Vietnamese. However, a recent study found remarkably similar performances of 70 percent to 80 percent speech understanding between tonal and nontonal languages and across devices (Hear Res 2015;322:188-199http://www.sciencedirect.com/science/article/pii/S0378595514001646), suggesting a limited need for language-specific processing. Because most countries in the Asia–Pacific region have limited financial and professional resources, many cochlear implant users have to travel long distances to receive services or simply cannot afford care. Zhiqiang Gao, MD, of Peking Union Medical College Hospital, which developed a single-channel device in the late 1970s and has since implanted more than 3,000 cases, discussed the progress in as well as the need for objective measures in cochlear implantation, data logging, remote programming, and telediagnosis and tele-evaluation, which will likely overcome the lack of audiologists and, eventually, the distance and cost factors in these less-developed regions. INDUSTRY IN EVOLUTION APSCI 2015 revealed several noteworthy industry trends. Up to 2014, about 400,000 people globally had received cochlear implants, including 200,000 pediatric and 60,000 bilateral users, Dr. Hochmair noted. With 260,984 units sold since 1983, industry leader Cochlear Ltd. had an overall 60 percent market share. However, that share dipped to about 50 percent in 2014 and will likely continue to shrink with strong competition from MED-EL and Advanced Bionics, as well as from newcomers such as Nurotron and Listent, which together have sold thousands of devices and debuted with elegantly designed booths and well-attended workshops at the conference (Hear Res 2015;322:188-199http://www.sciencedirect.com/science/article/pii/S0378595514001646). In addition, China's national cochlear implant assistance project has provided free cochlear implants to 16,865 deaf children over the last five years, and the effort likely will continue or even be expanded (bit.ly/China-CIhttp://bit.ly/China-CI). A final surprise at the conference was the rapid and effective adoption of new technology in the Asia–Pacific region. Genetic testing kits can screen for 10 to 150 genes for hearing loss and have been used by about one million people in China alone. In contrast, the United States, a leader in genetic hearing loss research and sequencing (e.g., J Med Genet 2013;50[9]:627-634http://jmg.bmj.com/content/50/9/627.abstract; Genet Test Mol Biomarkers 2013;17[8]:581-587http://online.liebertpub.com/doi/full/10.1089/gtmb.2012.0464), is lagging behind in the deployment of genetic testing for hearing loss. Author disclosure: As a founder of Nurotron, Dr. Zeng owns stock in the company.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.337
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2015
Admission routes1
Has abstractyes

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