Abstract
Objective: This paper reviewed the literature on the development of and factors affecting speech perception of Mandarin-speaking children with cochlear implantation (CI). We also summarized speech outcome measures in standard Mandarin for evaluating auditory and speech perception of children with CI.
Method: A comprehensive search of Google Scholar and PubMed was conducted from March to June 2021. Search terms used were speech perception/lexical tone recognition/auditory perception AND cochlear implant AND Mandarin/Chinese.
Conclusion: Unilateral CI recipients demonstrated continuous improvements in auditory and speech perception for several years post-activation. Younger age at implantation and longer duration of CI use contribute to better speech perception. Having undergone a hearing aid trial before implantation and having caregivers whose educational level is higher may lead to better performance. While the findings that support the use of CI to improve speech perception continue to grow, much research is needed to validate the use of unilateral and bilateral implantation. Evidence to date, however, revealed bimodal benefits over CI-only conditions in lexical tone recognition and sentence perception in noise. Due to scarcity of research, conclusions on the benefits of bilateral CIs compared to unilateral CI or bimodal CI use cannot be drawn. Therefore, future research on bimodal and bilateral CIs is needed to guide evidence-based clinical practice.
Introduction
In Western societies, the advantages of bilateral cochlear implantation (CI) over unilateral CI for speech perception in quiet and in noise, preverbal communication development and sound localization in the pediatric population have been well demonstrated (). The effects of adding a contralateral hearing aid (HA) among children implanted in the other ear (i.e., bimodal stimulation) have been demonstrated through extensive comparative studies as well (e.g., ). However, unilateral CI is still the norm in mainland China, with the other two modes of amplification gaining popularity in the past decade only. With emerging research on this topic and the gradual reduction in the age of implantation, it is necessary to synthesize new evidence regarding speech perception of Mandarin-speaking children with unilateral CI, bimodal stimulation and bilateral CIs in order to guide clinical application and identify knowledge gaps. This review attempts to cover areas not addressed in the review by .
The first multi-channel CI operation was conducted in mainland China in 1995 (). Since then, CI has become a well-accepted intervention for patients with severe-to-profound hearing loss (HL), funded by local and the central government, due to its cost-effectiveness compared to no intervention or HA (). reported over 30,000 persons in mainland China have received CIs, and among them 85% were children. In several provinces, unilateral CI for pediatric population is included in the basic medical insurance scheme (). Despite the fact that CI penetration in the pediatric population is less than 5% (), the rate of implantation is expected to grow with the number of qualified specialists and hearing service providers ().
Unlike English, Mandarin is a tonal language with four lexical tones that carry lexical meaning at the monosyllabic level. Lexical tone recognition plays an important role in Mandarin sentence perception (). Superior sentence recognition was noted in normal-hearing (NH) individuals listening to vocoded speech and pediatric CI users when sentences were presented with natural tone contours compared to flattened or randomized tones in quiet, and greater benefit was observed in noise, suggesting the importance of lexical tone contour (; ). In addition, CI users needed a greater fundamental frequency (F0) range to detect lexical tones at a comparable level as NH listeners (). Mandarin vowels also convey more intelligibility information than consonants in sentence perception in a ratio of 3:1 compared to 2:1 in English (). Furthermore, Mandarin listeners relied more heavily on temporal fine structure when recognizing sentences in competing speech compared with English native listeners who rely more on temporal envelope (). As CIs provide limited access to temporal fine structure and pitch information because of the coarse frequency resolution, it is reasonable to speculate that some findings regarding speech perception among English-speaking CI users may not apply directly to the Mandarin-speaking CI population. Thus, there is a need to synthesize evidence from studies that targeted this population.
Prior to the review, standard Mandarin speech outcome measures are summarized, highlighting their use and limitations. We then reviewed the current evidence related to speech perception with CI and factors influencing speech perception among pediatric users who speak Mandarin as their first language. Evidence on unilateral, bimodal, and bilateral CI use will be presented in separate sections.
Method
Between March and June 2021, Google Scholar and PubMed were searched for relevant studies. The search terms were speech perception/lexical tone recognition/auditory perception AND cochlear implant AND Mandarin/Chinese. Due to the advancement of CI algorithms in the past two decades, we limited the search on publication year from 2000 onward. We focused on speech perception of participants with congenital HL, who spoke Mandarin as their first language and received CI. Only studies that were conducted in mainland China and published in English were included.
The search generated a total of 3954 records relevant to the topic. After removing duplicates, 3815 records remained. After screening the titles and/or abstracts, 3719 records were discarded because they were not published in peer-reviewed journals, written in English and/or involved irrelevant content. Among the 96 articles that were retrieved for full-text screening, 58 articles were further excluded because results from children and adults were not reported separately (n = 25), the studies were conducted outside of mainland China (n = 19), the studies did not focus on speech perception (n = 10), findings from non-CI participants were not reported separately (n = 4), and only an abstract was available (n = 1). Finally, 37 articles remained for review. A flowchart of the screening process can be found in Figure 1. Among the 37 articles, 30 studies targeted Mandarin-speaking children with unilateral CI, and 5 studies focused on Mandarin-speaking children with bimodal stimulation. One study considered both populations. One study was identified to be relevant to bilateral CI pediatric recipients.
FIGURE 1
Review
Auditory and Speech Perception Measures
When selecting outcome measures for children, it is important to take into account a variety of factors, including chronological age, developmental status, vocabulary and language competency. Age-appropriate auditory and speech perception outcomes may include self-report questionnaires and behavioral measures (see Tables 1, 2 for a summary). Four parental questionnaires were identified, including the Meaningful Auditory Integration Scale (MAIS)/Infant-Toddler Meaningful Auditory Integration Scale (ITMAIS; ), the LittleEARS® Auditory Questionnaire (LEAQ; ), the Categories of Auditory Performance Questionnaire (CAPQ; ), and the Parent’s Evaluation of Aural/Oral of Children (PEACH) rating scale (). These parental questionnaires could be utilized to evaluate preverbal, early auditory, and speech perception in children up to 6 years of age, when children have limited language skills and speech perception measures are difficult to administer. The IT-MAIS/MAIS, LEAQ and CAPQ have been used extensively in research institutes and clinics in China. Since the PEACH rating scale is newly developed, few studies have employed this measure.
TABLE 1
| Studies | Test name | Test materials | Content | Reliability and validity reported | Target age (years) |
| The IT-MAIS The MAIS | 10 items in 3 categories on a 5-point scale | Self-report about device/vocal behavior and device use; spontaneous detection of and response to sounds; spontaneous and meaningful recognition and discrimination of sounds | Internal consistency (Cronbach’s α = 0.96; Guttmann’s split-half coefficient = 0.96), item reliability (Pearson’s r with other items and overall scores = 0.70–0.89) | IT-MAIS: 2–3 MAIS: ≥ 3 | |
| The LEAQ | 35 yes-or-no questions | Observed receptive, semantic and early expressive language skills, such as response to a familiar voice or whether simple questions can be understood | Predictability (Guttman’s lambda = 0.882), internal consistency (Cronbach’s α = 0.945; Spearman–Brown split-half coefficient = 0.914), validity (Pearson’s r between age and total scores = 0.841) | <2 | |
| The CAPQ | 10 categories from Level 0 to Level 9 | Hierarchical categories on children’s auditory abilities, ranging from Level 0 indicating no awareness of environmental sounds to Level 9 indicating the ability to use the phone with unknown speakers in unpredictable context. | Test-retest reliability (Spearman’s r coefficient = 0.981), inter-rater reliability (Pearson’s r = 0.983) and criterion validity (Pearson’s r with the LEAQ: r = 0.721) | 0–6 (tested1) | |
| The PEACH rating scale | 12 items on a 5-point scale | Aural/oral behaviors in real-world quiet and noisy listening conditions, such as being able to follow simple instructions in a quiet or noisy situation | Test–retest reliability (Cronbach’s α = 0.98; correlation coefficient2: r = 0.96) and validity (correlation coefficient2 with the PCDI: r = 0.42) | <4 |
Parental questionnaires.
The CAPQ, The Categories of Auditory Performance questionnaire; The IT-MAIS, Infant-Toddler Meaningful Auditory Integration Scale; The LEAQ, The LittleEARS® Auditory Questionnaire; The MAIS, The Meaningful Auditory Integration Scale; The PCDI, Putonghua Communicative Development Inventory; The PEACH rating scale, The Parent’s Evaluation of Aural/Oral of Children Rating Scale.
1The study did not indicate the target age and thus the age range of participants in the study is reported.
2The study did not indicate the type of correlation analysis.
TABLE 2
| Studies | Test name | Type of test materials | Paradigm | Test in quiet and/or noise | Homogeneity | Target age (years) | Reliability and validity reported |
| The MESP test | A hierarchically structured test with six categories in speech sound and pattern, spondee, vowel, consonant and tone. | Closed-set recognition 12-AFC or other depending on the category | Quiet | Not reported | ≥2 | Not reported | |
| The MPSI test | Sentences with 6–7 characters | Closed-set recognition 6-AFC | Quiet and/or in competing sentence at fixed SNRs from +10 to –10 dB | Not reported | 3–6 (tested1) | Not reported | |
| The MAPPID-N | Disyllables and lexical tones | Closed-set recognition 8-AFC for Disyllable test 4-AFC for Lexical tone test | Speech spectrum shaped noise | Across items | 4–9 (tested1) | Not reported | |
| MBKB-SIN | Sentences with 6–8 characters | Open-set recognition | Quiet and/or in four-talker babble noise | Across lists | 4.5–6 (tested1) | Test–retest reliability (critical difference: 24.6%) | |
| The LNT | Easy and hard Monosyllables and disyllables | Open-set recognition | Quiet | Across lists | 4–7 (tested1) | Inter-rater reliability (consistency between two raters: 92.5–95%) | |
| The MTIT | Lexical tones | Closed-set recognition 4-AFC with 1 target word, 1 tone contrast and 2 unrelated distracters | Quiet and/or in speech spectrum shaped noise at fixed SNRs | Not reported | ≥7 | Internal consistency (Cronbach’s α = 0.66-0.76), Test–retest reliability (intra-class correlation = 0.65–0.71), criterion validity [correlated with MPSI in quiet (Kendall’s tau = 0.33) and in noise (Spearman’s r = 0.71) ()] | |
| The MHINT-C | Sentences with 10 characters | Open-set SRT | Quiet and/or in Steady-state-speech-spectrum-shaped noise at adaptive SNRs | Across lists | 6–17 (tested1) | Inter-list reliability (confidence intervals: ± 2.8 dB), response variability (1.90-2.0 dB) |
Speech perception tests.
AFC, alternative forced choice; MBKB-SIN, Mandarin Bench-Kowal-Bamford sentence in Noise Test; The LNT, the Standard-Chinese version of the Lexical Neighborhood Test; The MAPPID-N, The computerized Mandarin Pediatric Lexical Tone and Disyllabic-word Picture Identification Test in Noise; The MESP test, the Mandarin Early Speech Perception test; The MHINT-C, The Mandarin version of the Hearing in Noise Test for Children; The MPSI, The Mandarin Pediatric Speech Intelligibility test; The MTIT, The new Mandarin Tone Identification Test; SNR, Signal-to-noise ratio; SRT, Speech Recognition Threshold.
1The study did not indicate the target age and thus the age range of participants in the study is reported.
Multiple measures were developed to evaluate the perception of phonemes, lexical tones, mono- and multi-syllables, and sentences in quiet and/or in noise. Considering the developmental capabilities of young children, the majority of tests are administered in a closed-set paradigm, in which children point to objects or select answers from a picture panel (Figure 2). Open-set tests are used for older children by requesting them to verbally repeat words they heard. Although materials developed by and are popular, they were mainly developed for use in rehabilitation. Thus, they are not presented in the summary table. Phoneme perception could be evaluated using the vowel (category 4) and consonant (category 5) sub-tests of the Mandarin Early Speech Perception (MESP) test (). Lexical tone perception is evaluated using category 6 of the MESP test, the Mandarin Tone Identification Test (MTIT; ), and tone test of the computerized Mandarin Pediatric Lexical Tone and Disyllabic-word Picture Identification Test in Noise (MAPPID-N; ). Syllable perception could be measured using the spondee perception (category 2) sub-test of the MESP test, disyllables test of the MAPPID-N, and Standard-Chinese version of the Lexical Neighborhood Test (LNT; ). Sentence recognition is evaluated using the Mandarin Pediatric Speech Intelligibility (MPSI) test (), the Mandarin Bench–Kowal–Bamford sentences in noise test (MBKB-SIN; ), and the Mandarin version of the Hearing in Noise Test for Children (MHINT-C; ).
FIGURE 2
Accuracy of tests depends on the reliability and validity of speech outcome measures. Reliability of a speech test refers to how consistent it measures listeners’ speech perception ability. The consistency across time, raters, and measurement itself are recognized as test–retest reliability, inter-rater reliability, and internal consistency, respectively. Validity refers to how accurate a speech test truly measures the listener’s speech perception ability. These types of validity were commonly evaluated. Construct validity refers to the adherence of speech audiometry to existing theory or knowledge of speech perception. Content validity refers to the extent to which speech audiometry measures all aspects of speech perception. Criterion validity reflects how comparable the measure is to other valid speech audiometry.
All four self-report questionnaires considered one or two reliability assessments in the development process, in the form of internal consistency (
Among the behavioral measures, item or list equivalence was mostly established by measuring psychometric functions and adjusting the intensity of corresponding mean recognition scores and/or mean slope at 50%. While inter-list or test-retest reliability was assessed for some measures (i.e., the MBKB-SIN and the MHINT-C), and certain criteria were applied in constructing the items (e.g., vocabulary, familiarity, phonetically balancing for phoneme distribution and lexical tones), other types of validity was seldom reported. In fact, normative data were mostly collected on NH listeners and researchers rarely validated these measures on listeners with HL or CI, whose performance varies greatly within the group and the error patterns in performance may differ from NH listeners (
Outcomes With Unilateral Cochlear Implantation
The majority of CI users in mainland China are using unilateral implants. There are 31 studies examining outcomes from unilateral CI; among them, 16 are cross-sectional and 15 are longitudinal. Demographic factors were evaluated in both types of studies in order to explain performance variability. As all but one study on lexical tone perception have been reviewed by
Longitudinal Studies on the Development of Auditory and Speech Perception
The 15 longitudinal studies focused on the developmental trajectory of children with congenital HL and used unilateral CI for not more than 7 years (see Table 3 for a summary). The age of implantation ranged from an average of 1.58–8.86 years across studies. Auditory behavior, perception of phonemes, syllables and sentences in quiet and in noise were evaluated, demonstrating continuous improvement in early auditory behavior and early speech perception after the device activation, up to 5 years post implantation.
TABLE 3
| Studies | Participant characteristics | Outcome measures1 | Overall results1 |
(N = 259) | AAI (years): M = 1.8, R = 0.7–3.0 Tested at baseline, 1-, 2-, 3-, 6-, 12-months post CI | The IT-MAIS | Early auditory skills improved significantly over time. |
(N = 39) | AAI (years): 1–2 (n = 4), 2–3 (n = 12), 3–4 (n = 12), 4–6 (n = 11) Tested at baseline, 3-, 6-, and 12-months post CI | The IT-MAIS The MESP test The MPSI test | Early pre-lingual auditory development and early speech perception were comparable to English-speaking children. |
| AAI (years): M = 2.9, R = 1.1-5.7 Tested at baseline, 1-, 3-, 6-, 9-, 12-, 24-, and 36-months post CI | The MESP test | Speech performance through the first 3 years of implant use, with the median categories of MESP increased from a score of 0.23 indicating barely any speech detection at baseline to 5.57 suggesting phoneme, tone and word recognition 3 years later. | |
(N = 33) | AAI (years): M = 2.02, SD = 0.89, R = 0.5–3.83 Tested at baseline, 1-, 3-, 6-, 9-, 12-, 18-, and 24-months post CI | The LEAQ | Auditory preverbal skills improved significantly post CI in the first 2 years of use. |
| AAI (years): M = 3.1, SD = 2.3, R = 0.9-15.5 Tested at 6-, 12-, 24-, 36-, 48-, 60-, 72-, and 84-months post CI | The LNT | Spoken word recognition improved significantly over time. The fastest improvement occurred in the first 36 months, after which it slowed down and peaked at 72 months post CI (81.7%). | |
| AAI (years): M = 2.61, SD = 1.04, R = 0.93-5.00 Tested at baseline, 3-, 6-, and 12-months post CI | The IT-MAIS/ MAIS The MESP test The MPSI test | Significant progress in prelingual auditory, word and sentence recognition were observed during the first year of CI use. Mandarin-speaking children with CIs attained early speech perception results comparable to those of their English-speaking counterparts. | |
(N = 23) | AAI (years): M = 3.0, R = 1.08-5.67 Tested at 1-, 2-, 3-, and 4-years post CI | The MESP test | The proportion of participants having reached higher categories increased significantly during the 4 years post CI. The percentage of participants passing category 6 (tone perception) of the MESP increased from 9% at 1st year to 91% at 4th year post CI. |
(N = 213) | AAI (years): The mean ranged from 2.49 to 3.15 in groups of different etiology. Tested at baseline and 1-year post CI | Mono-, di-syllable and sentence recognition | Significant improvement in recognition of monosyllabic, disyllabic words and sentences at 1 year post CI. |
(N = 143) | AAI (years): 1–2 (n = 34), 2–3 (n = 72), 3–4 (n = 37) Test at before, 2-, 6-, 12-, 24-, 36-, 48-months post CI | Tone perception subset in the MESP test | Mean identification score increased from approximately 68% to 79% by 4 years post CI. |
(N = 132) | AAI (years): M = 3.4 SD = 1.35 Tested at baseline, 3-, 6-, 9-, 12-, 18-, and 24-months post CI | The IT-MAIS The MESP test | Significant improvements in early auditory and speech development that follow the normative developmental trajectories. However, there was still a gap (10–15%) compared with normative values. |
(N = 98) | AAI (years): M = 8.86, SD = 3.66, R = 1.0–16.0 Tested at baseline, 3-, 6-, and 12-months post CI | Speech perception2 The MAIS The CAPQ | The scores of all measures significantly improved at 1 year post CI. |
(N = 278) | AAI (years): M = 1.58, R = 0.5–3.0 Tested at baseline, 1-, 3-, 6-, 12-, 18-, 24-, 36-, 48-, 60-months post CI | The CAPQ | Scores improved during the 5 years post CI, although speech development lagged behind that of hearing. |
(N = 52) | AAI (years): Median = 1.25, R = 0.83–5.66 Tested at baseline, 3-, 6-, 9-, 12-, 15-, 18-, 21- and 24-months post CI | Closed monosyllables and disyllables recognition The CAPQ | Auditory and speech perception improved significantly over the 24 months post CI period. |
| AAI (years): Median = 4.0, R = 3.0–7.0 Tested at 1 months, 1-, 2-, and 3-years post CI | The CAPQ | Significant improvements in the CAPQ scores at 3 years post CI. 60% of children reached Level 7 indicating children were able to use the telephone with a familiar talker at 3 years post CI. | |
| Age at Switch-on: M = 2.1, SD = 0.47, R = 1.2–2.8 Tested at baseline, 3-, 6-, and 12-months post CI | The IT-MAIS | Children below 3 years of age had similar trajectories in early auditory developments to NH children. |
Longitudinal studies on speech perception with unilateral CI.
AAI, Age at Implant; CI, Cochlear Implantation; M, Mean; N, The Number of Participants; R, Range; SD, Standard Deviation.
1Only outcome measures and results related to speech perception were reported.
2Speech perception here referred to Chinese auditory perception and open-set speech perception.
Data showed no or very low level of auditory skills pre-implant. After 6 months of CI use, these children could achieve a score of about 50∼60% on the IT-MAIS/MAIS (
From these findings, a clear trajectory of development on auditory behaviors and closed-set phoneme recognition is observed. However, there are few reports on sentence and open-set words recognition. Many studies (6 out of 15) reported findings from 1-year post-implantation, thus allowing insufficient time to develop mastery of complex grammatical skills and lexicons to be assessed in open-set word recognition tasks or sentence tests, which is more demanding than phoneme and closed-set word recognition. Longer follow-up period is necessary in order to observe the performance trajectory over time. In addition, considering various tests were used on participants with different demographic factors such as age at implantation (AAI) [e.g., mean AAI was 1.58 years in
Important Factors That Affect Speech Perception
A summary of frequently examined factors among studies can be found in Table 4. Details about less-frequently examined factors (≤3 studies) are presented in Supplementary Materials. AAI, duration of CI use (DCI), whether there was a pre-CI hearing aid trial (HAT), and caregiver education level (CEL) are discussed below and more than half of analyses that investigated these variables show that they significantly impacted speech perception outcomes.
TABLE 4
| Studies | Participant characteristics | Outcome measures1 | Analysis method | AAT | AAI | CEL | DCI | HAT | PHL |
(N = 20) | AAI: M = 5.2, SD = 3.8, R = 1.3–13.5 years | Lexical tone recognition in quiet | Least-squared linear fit | √* | √* | – | √ | – | – |
(N = 259) | AAI: M = 1.8, R = 0.7–3.0 years Tested at baseline, 1-, 2-, 3-, 6-, 12-months post CI | The IT-MAIS | ANOVA and t test | – | √ | – | √* | √* | – |
(N = 37) | AAI: M = 4.2, R = 1.2–17.5 years (Group 1: Congenitally deafened children) | Open-set disyllables recognition Sentences recognition | Multiple linear regression | √ | √* | – | – | – | – |
| √* | √* | – | – | – | – | ||||
(N = 25) | AAI: M = 3.39, R = 1.5–9.1 years | The MESP test | DNR | – | √ | – | √ | – | – |
(N = 39) | AAI: 1–2 years (n = 4), 2–3 years (n = 12), 3–4 years (n = 12), 4–6 years (n = 11) Tested at baseline, 3-, 6-, and 12-months post CI | The IT-MAIS | Pearson’s correlation and χ2 test of independence | – | √* | – | – | √* | – |
| The MESP and MPSI test | – | – | – | – | √* | – | |||
(N = 230) | AAI: M = 3.9, SD = 3.0, R = 0.9-16.0 years | Open-set word recognition | Stepwise multiple regression | – | √* | – | √* | – | – |
(N = 41) | AAI: M = 2.0, SD = 0.74, R = 0.83–4.17 years | Mandarin consonant contrast perception | Linear regression | √ | √* | – | √ | – | √ |
(N = 110) | AAI: M = 3.96, SD = 2.70, R = 1.11–12.95 years | Lexical tone recognition in quiet | Step-wise linear regression | √ | √ | - | √* | - | - |
(N = 20) | AAI: M = 4.1, R = 2.0–6.7 years | Lexical tone recognition in quiet | Linear regression | √* | √* | – | √ | – | √ |
(N = 96) | AAI: M = 2.72, SD = 1.03, R = 0.69–5.00 years | Lexical tone perception in quiet | Step-wise multiple linear regression | – | √ | √ | √* | √ | √ |
| Sentence perception in quiet | – | √ | √* | √* | √ | √ | |||
| Sentence perception in noise | – | √ | √* | √* | √* | √* | |||
(N = 115) | AAI: M = 2.67, SD = 1.08, R = 0.69–5.00 years | Overall speech perception3 | Structural equation modeling | – | √* | √* | – | √* | √ |
(N = 22) | AAI: M = 2.9, R = 1.1–5.7 years Tested at baseline and 1-, 3-, 6-, 9-, 12-, 24-, and 36-months post CI | The MESP test | Repeated-measure ANOVA | – | √* | – | √* | – | – |
(N = 33) | AAI: M = 2.02, SD = 0.89, R = 0.5–3.83 years Tested at baseline, 1-, 3-, 6-, 9-, 12-, 18-, and 24-months post CI | The LEAQ | ANOVA | – | √* | √* | √* | – | – |
(N = 105) | AAI: M = 3.1, SD = 2.3, R = 0.9–15.5 years Tested at 6-, 12-, 24-, 36-, 48-, 60-, 72-, 84-months post CI | Open-set word recognition | ANOVA | – | √* | – | √* | – | – |
| AAI: M = 4.3, R = 2–12 years (Prelingual group) | Lexical tone perception in quiet | Linear regression | – | – | – | √ | – | – | |
(N = 80) | AAI: M = 2.61 SD = 1.04, R = 0.93–5.00 years Tested at baseline, 3-, 6-, and 12-months post CI | Overall speech perception3 | Hierarchical linear modeling | – | √* | √* | √* | √ | √* |
(N = 66) | AAI: M = 2.97, SD = 3.05, R = 0.6–16.50 years | Lexical tone recognition in quiet and in noise | Linear correlation | √ | √* | – | √ | – | – |
(N = 143) | AAI: 1–2 years: n = 34; 2-3 years: n = 72; 3–4 years: n = 37 Test at baseline, 2-, 6-, 12-, 24-, 36-, and 48-months post CI | Tone perception subset in the MESP test | Two-sample t test | – | √ | – | √* | – | – |
(N = 132) | AAI: M = 3.4 SD = 1.35 years Tested at baseline, 3-, 6-, 9-, 12-, 18-, and 24-months post CI | The IT-MAIS | Multiple linear and logistic regression | – | √* | – | √* | √* | √* |
| The MESP test | – | √* | – | √* | √ | √* | |||
(N = 98) | AAI: M = 8.86, SD = 3.66, R = 1.0–16.0 years Tested at baseline, 3-, 6-, and 12-months post CI | The MAIS, the CAPQ and speech perception7 | ANOVA | – | √* | – | √* | – | – |
(N = 278) | AAI: M = 1.58, R = 0.5–3.0 years Tested at baseline, 1-, 3-, 6-, 12-, 18-, 24-, 36-, 48-, and 60-months post CI | The CAPQ | t test and linear regression | – | √ | – | √* | – | – |
(N = 52) | AAI: Median = 1.25, R = 0.83–5.66 years Tested at baseline, 3-, 6-, 9-, 12-, 15-, 18-, 21- and 24-months post CI | Closed-set monosyllables Closed-set disyllables The CAPQ | Generalized estimating equation | – | √* | √* | √* | √* | √ |
(N = 100) | AAI: Median = 4.0, R = 3.0–7.0 years Tested at 1 months, 1-, 2-, and 3-years post CI | The CAPQ | Mann-Whitney test | – | √* | – | √* | √* | – |
(N = 24) | Age at Switch-on: M = 2.1, SD = 0.47, R = 1.2–2.8 years Tested at baseline, 3-, 6-, and 12-months post CI | The IT-MAIS | Mann-Whitney test | – | √ | – | √* | – | – |
Frequently examined factors that affect speech perception of children with unilateral CI.
AAI, Age at Implant; AAT, Age at Testing; ANOVA, Analysis of Variance; CEL, Caregiver’s Educational Level; CI, Cochlear Implantation; DCI, Duration of CI use; DNR, Did not report the statistical test used; HAT, Hearing Aid Trial; M, Mean; N, The Number of Participants; PHL, Pre-implant Hearing Level; R, Range; SD, Standard Deviation.
‘√*’ shows that this study examined the corresponding factor and found a significant correlation. ‘√’ shows that this study examined the corresponding factor but no significant relationship was found. ‘–’ shows that this study did not examine the corresponding factor.
1Only outcome measures and results related to speech perception were reported.
2In
3Overall speech perception referred to a single composite score was generated by combining results from MAIS, the MESP test and the MPSI test using the principal component analysis.
4In
5In
6In
7Speech perception here referred to Chinese auditory perception and open-set speech perception.
86. In
Early AAI, similar to studies on an English-speaking population (see a review from, for example,
Longer DCI significantly contributes to better auditory skills and speech perception in all longitudinal studies. Open-set word recognition and sentence recognition were significantly correlated with longer DCI in cross-sectional studies, as reported in the previous review (
Having undergone a HAT before CI is a factor that positively influences the auditory development and speech perception. All longitudinal studies that assessed the relationship between receiving HAT prior to implantation and auditory scores showed significant effects (
Better caregiver’s education contributed positively to preverbal auditory skills (
Outcomes With Bimodal Stimulation
With improving socioeconomics and greater recognition of the importance of binaural hearing, bimodal stimulation is gradually becoming a key focus of researchers, clinicians and parents in mainland China. Bimodal stimulation refers to the combination of a CI in the implanted ear and a HA in the non-implanted ear. Adding a contralateral HA allows unilateral CI users to exploit the residual hearing in the non-implanted ear, reducing auditory deprivation and enabling binaural hearing (
The contribution of the F0 in the low-frequency range is important for Mandarin perception. Thus, a contralateral HA that delivers amplification in this frequency range may produce unique bimodal benefits for the Mandarin-speaking population. One longitudinal and five cross-sectional studies were identified through the literature search, comparing speech perception with bimodal stimulation and CI only condition (see Table 5 for a summary).
TABLE 5
| Studies | Participant characteristics | Device settings | Outcome measures1 | Overall results |
(N = 15) | Age (years): M = 10.2, R = 5.1–14.3 DCI (years): M = 2.3, R = 0.3-6.7 | HA fitting was optimization based on the NAL-RP prescription formula | Lexical tones and disyllabic words in quiet and in noise (The MAPPID-N) Test settings: CI-only, CI + HA | Significant bimodal benefits2 in lexical tone recognition in quiet and in noise, and disyllabic words in noise when speech and noise both presented from the front. |
(N = 35) | AAI (years): M = 2.9, R = 0.9–7.0 DCI (years): M = 3.5, R = 0.6–8.1 DHA (years): M = 2.7, R = 0.5–9.0 | Participants used their clinical settings for CI and HA | Mandarin tone recognition in quiet Vowel recognition in quiet Consonant recognition in quiet Sentence recognition in quiet Test settings: CI-only, CI + HA | Significant bimodal benefits for tone recognition in quiet (Tone 2), but not for vowel, consonant or sentence recognition in quiet. |
(N = 11) | Age (years): M = 8.2, R = 6.0–12.5 DCI (years): M = 4.5, R = 2.0–8.0 DHA (years): M = 4.0, R = 0.5–8.0 | Participants used their clinical settings for CI and HA | Sentence recognition in steady-state noise and in a competing talker Test settings: CI-only, CI + HA | With 2-keywords scoring, no bimodal benefit in steady-state noise and female competing talker. Bimodal stimulation resulted in better scores than the CI-only condition. With 5-keywords scoring, significant bimodal benefits were observed. |
(N = 28) | AAI (years): M = 1.47, SD = 0.57 Tested at first mapping, 0.5-, 1-, 3-, 6-, 12-, 18-, and 24-months after | CI mapping and HA fitting were carried out by experienced clinicians | The IT-MAIS The CAPQ Test settings: CI + HA for the bimodal group | The bimodal group demonstrated significantly higher scores at baseline, 3-, and 6-months on the IT-MAIS and from 3- to 24 months on the CAPQ compared to the unilateral CI group. |
(N = 14) | AAI (years): M = 1.96, R = 0.9-3.3 DCI (years): M = 3.59, R = 2.3-5.2 Bimodal duration (years): M = 3.23, R = 1.7–5.0 | Participants used their daily settings for CI and HA | Lexical tone recognition in quiet and in speech spectrum-shaped noise at + 5 dB Test settings: CI-only, CI + HA | Significant improvement was seen in the CI + HA condition over the CI-only condition for lexical tone recognition in noise. |
(N = 16) | AAI (years): M = 1.91, R = 0.9–3.3 DCI (years): M = 3.45, R = 2.1–5.1 DHA (years): M = 3.45, R = 1.7–5.3 | Not mentioned | An identification task with a set of synthetic tone-pair continuum (T1-T2) A discrimination task with same stimuli Test settings: CI-only, CI + HA | Significant bimodal benefits in lexical tone categorization were found over the CI-only condition. |
Speech perception of children with bimodal stimulation.
AAI, Age at implant; CI, Cochlear Implantation; DCI, Duration of CI use; DHA, Duration of hearing aid use; HA, Hearing Aid; M, Mean; N, The number of participants; R, Range; SD, Standard deviation; T, Tone.
1 Only outcome measures and results related to speech perception are reported.
2Bimodal benefits are measured as a comparison between CI + HA condition over CI-only condition for all studies except
Four out of seven studies evaluated lexical tone perception in quiet and/or in noise. Three of these studies focused on bimodal benefits on lexical tone identification (
Vowel, consonant, disyllable and sentence recognition was assessed in three studies (
Four out of six studies examined the correlation between demographic factors and speech perception (
TABLE 6
| Studies | Participant characteristics | Outcome measures | Test setting | Analysis method | AAT | AAI | DCI | DHA | DOB | DOD | PTA |
(N = 15) | Age (years): M = 10.2, R = 5.1–14.3 DCI (years): M = 2.3, R = 0.3–6.7 | Lexical tone recognition in quiet and in noise | Bimodal benefits | Pearson’s correlation | – | – | – | – | – | – | √ |
| Disyllable recognition in noise | – | – | – | – | – | – | √* | ||||
(N = 35) | AAI (years): M = 2.9, R = 0.9–7.0 DCI (years): M = 3.5, R = 0.6–8.1 DHA (years): M = 2.7, R = 0.5–9.0 | Tone recognition in quiet Vowel recognition in quiet Consonant recognition in quiet Sentence recognition in quiet | CI + HA | Pearson’s correlation | √ | √* | √* | √ | – | √ | √ |
| √ | √ | √ | √ | – | √ | √ | |||||
| √ | √* | √ | √ | – | √* | √ | |||||
| √ | √ | √ | √ | – | √ | √* | |||||
(N = 11) | Age (years): M = 8.2, R = 6.0–12.5 DCI (years): M = 4.5, R = 2.0–8.0 DHA (years): M = 4.0, R = 0.5–8.0 | Sentence recognition in noise | CI + HA | Pearson’s correlation | √ | – | √ | √ | – | √ | √* |
| AAI (years): M = 1.96, R = 0.9–3.3 DCI (years): M = 3.59, R = 2.3–5.2 Bimodal duration (years): M = 3.23, R = 1.7–5.0 | Lexical tone recognition in quiet | CI + HA | Multivariate regression | √ | √ | √* | – | √ | – | √ | |
| Bimodal benefits | √ | √ | √ | – | √* | – | √* | ||||
| Lexical tone recognition in noise | CI + HA | √ | √ | √ | – | √ | – | √ | |||
| Bimodal benefits | √ | √ | √ | – | √* | – | √ |
Factors that affect speech perception of children with bimodal stimulation.
AAI, Age at Implant; AAT, Age at Testing; CI, Cochlear Implantation; DCI, Duration of CI use; DHA, Duration of Hearing Aid use; DOB, Duration of Bimodal use; DOD, Duration of Deafness; HA, Hearing aid; M, Mean; N, The number of participants; PTA, Pure Tone Average; R, Range; SD, Standard Deviation.
‘√*’ Shows that this study examined the corresponding factor and found a significant correlation. ‘√’ Shows that this study examined the corresponding factor but no significant relationship was found. ‘–’ Shows that this study did not examine the corresponding factor.
1 In
2In
3In
4In
Overall, Mandarin-speaking children with bimodal stimulation seem to outperform unilateral CI users in the development of auditory skills post-implantation, demonstrated as higher scores on the IT-MAIS and CAP during the 24 months post CI (
Outcomes With Bilateral Cochlear Implantations
Although bilateral CIs have been found to improve speech recognition in noisy conditions over unilateral CI among English-speaking populations (e.g.,
Conclusion
This paper reviewed the literature on speech perception of Mandarin-speaking children with congenital HL and who used CI. Important factors that contribute to individual variations in speech perception outcomes were discussed.
Unilateral CI recipients demonstrated continuous improvements in auditory and speech perception for several years post-activation. Younger AAI and longer DCI contribute to better speech perception. Having undergone a HAT before implantation and having caregivers whose educational level is higher may lead to better performance. While the findings that support the use of CI to improve speech perception continue to grow, much research is needed to validate the use of bimodal and bilateral implantation. Evidence to date, however, revealed bimodal benefits over CI-only conditions in lexical tone recognition and sentence perception in noise. Due to scarcity of research, conclusions on the benefits of bilateral CIs compared to unilateral CI or bimodal CI use cannot be drawn. Therefore, future research on bimodal and bilateral CIs is needed to guide evidence-based clinical practice.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
QG contributed to the literature review and manuscript drafting. LW contributed to providing review comments. FC contributed to manuscript drafting. All the authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnins.2021.773694/full#supplementary-material
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Summary
Keywords
cochlear implant, Mandarin, children, speech perception, outcome measures
Citation
Gao Q, Wong LLN and Chen F (2021) A Review of Speech Perception of Mandarin-Speaking Children With Cochlear Implantation. Front. Neurosci. 15:773694. doi: 10.3389/fnins.2021.773694
Received
10 September 2021
Accepted
15 November 2021
Published
14 December 2021
Volume
15 - 2021
Edited by
Ke Liu, Capital Medical University, China
Reviewed by
Yonghee Oh, University of Florida, United States; Jinqiu Sang, Institute of Acoustics, Chinese Academy of Sciences (CAS), China
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© 2021 Gao, Wong and Chen.
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*Correspondence: Fei Chen, fchen@sustech.edu.cn
This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Neuroscience
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.