ISSN: 2161-119X
Otolaryngology: Open Access
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
  • Review Article   
  • Otolaryngol (Sunnyvale) 2016, Vol 6(2): 226
  • DOI: 10.4172/2161-119X.1000226

Variables that Effect Psychophysical Parameters and Duration to Stability in Cochlear Implant Mapping

Maria CS1* and Maria PLS2
1Department of Ear Sciences, The University of Western Australia, Nedlands, Western Australia, Australia
2Ear Science Institute Australia, Subiaco, Western Australia, Australia
*Corresponding Author: Maria CS, Department of Ear Sciences, The University of Western Australia, 4th Floor, Harry Perkins Medical Research Institute, QEII Medical Campus, Hospital Ave, Nedlands, WA, 6000, Australia, Tel: 61 8 9346 3333, Fax: 61 8 9346 3089, Email: chloesantamaria1@gmail.com

Received: 06-Mar-2016 / Accepted Date: 18-Mar-2016 / Published Date: 25-Mar-2016 DOI: 10.4172/2161-119X.1000226

Abstract

The process of rehabilitation after cochlear implant surgery involves programming the psychophysical parameters of the implant in a process called mapping. The audiology appointments involved in the mapping process are large contributors to cost of implant rehabilitation. The map is defined as stable when there is little variation over time. Once an implant map is stable there is reduced need for intensive rehabilitation and an increase in implant patient satisfaction. A literature search was conducted using the terms “map cochlear implant”, “mapping cochlear implant”, “psychophysical cochlear implant” with a date range from August 1957 to February 2016. A total of 560 articles were identified and 29 articles were retrieved for detailed evaluation. The most important factor identified, that determines map stability, is the patient’s subjective implant experience. Patient demographics and implant variables have not been identified as significant. The second side implant in bilateral implantation has been shown to have significantly less time to map stability. There is a need for further studies to examine relationships between preoperative variables and the mapping process, rather than applying a “one size fits all approach”, which is the current standard of care. This is of particular need in the setting of the second side in bilateral implantation.

251515

Introduction

Hearing and speech perception for sensorineural hearing loss sufferers have been improved significantly since the advent of cochlear implantation [1]. Patients are required to perform audiological rehabilitation post implantation in order to achieve the best hearing outcomes. The process of rehabilitation and cochlear implant programming involves a process called mapping.

Mapping involves the measurement of a patient’ physical responses to audiological stimuli with the resultant psychophysical profile termed the map. This involves generating a noise and asking patients whether they can hear it and to what degree. The psychophysical parameters that are measured include Threshold (T) scores, Comfort (C) scores and the Dynamic Range (DR) [2].

The T score is the quietest sound detectable that always produces a response by a given patient, the C score is the loudest sound that they can tolerate without discomfort for a sustained period of time, and the DR is the difference between these two values [2]. Psychophysical parameters are measured for each portion of the cochlear implant electrode array (the basal, medial and apical regions). This mapping stage is known to be a period of high variability in audiological responses, and requires close follow up by an audiologist with an average of 6 visits in the first year, with some institutions advocating for up to ten [3-5].

Map stability occurs when there is little variation in these parameters over time, and is assessed through audiological graphing of the data. Once a cochlear implant map is stable there is reduced need for ongoing rehabilitation, reduced need for intensive monitoring and an increase in implant satisfaction. Typically this period of variability requires six weeks to six months to become stable [3,6-9].

Patient audiological benefits are often balanced with the costs associated with cochlear implantation to justify the health economics, many such analyses take into account the direct and indirect surgical and device costs but do not directly evaluate the costs associated with rehabilitation afterwards [10-13].

Literature examining the duration of audiological rehabilitation and efficiency in cochlear implants have found the average duration of audiological visit to be 93 minutes, and given the frequency of visits post implantation, these costs are significant [14]. The time to achieve map stability directly impacts the number of post implantation audiological reviews and so it is important to identify what variables influence this. An understanding of the factors that affect map stability helps to inform decision making during the perioperative period and may also provide some cost efficiency with regards to rehabilitation.

251516

Methods

A pubmed search using terms “map cochlear implant”, “mapping cochlear implant” and “psychophysical cochlear implant” was performed with a date range of August 1957 to February 2016. A total of 560 articles were identified. Articles were screened for title and abstract only with a total of 29 articles retrieved for a more detailed evaluation. Articles reviewed were limited to the English language.

251517

Discussion

Most cochlear implant centers apply a “one size fits all approach” to the mapping process [5]. This leads to a failure to identify, and potentially address, outliers until they are failing to stabilize within the usual time. Very few studies report on medium to long term psychophysical characteristics of cochlear implant audiological rehabilitation which limits the ability to understand the true effect of variables on the mapping process. Factors that have been examined in the literature in relation to map stability include subjective patient feedback, age, gender, etiology of deafness, duration of deafness, array type, and sequence in bilateral sequential cochlear implantation.

Subjective patient feedback

Most centers rely mainly on the patient’s subjective feedback as a basis for the mapping changes, which is interesting considering most clinicians do not believe the patient’s subjective experience leads to optimal cochlear implant performance [5]. In a global survey of cochlear implant center mapping practices, it was found that the average center schedules three sessions in the first three months, three sessions in the following nine months, and another one annual session thereafter [5]. The majority of time, in these appointments, is spent with verification and adjustments to optimize loudness. Most centers rarely spend time adjusting map parameters other than minimum and maximum levels in follow up appointments. The most important factor that determines map stability is the patient’s subjective implant experience. This of course is difficult to quantify but there are a number of potential factors discussed below that contribute to this.

Age

Age, as a predictor of cochlear implant audiological outcomes, is reported in the literature with different effect. Some of the published literature indicate that older age at implantation relates to poorer audiological outcomes [15,16]. Most studies examining the specific effect of age however have not shown any significant effect [4,17,18]. One study suggested a difference between adults and children in the first six months, with comfort levels showing significant change but beyond six months the levels were stable [19]. This did not change the overall time to map stability and was thought to be due to the fitting method used in children rather than actual psychophysical differences. It is possible that the effect of age at implantation on audiological outcomes in the studies mentioned above, may be in part reflecting a longer duration of deafness rather than a pure effect of age on outcome. From the information in the literature it seems that while age may contribute to the audiological outcome of the cochlear implant, it has little long term effect on the mapping process.

Gender

From examining the few studies that have examined the relationship between gender and audiological outcomes, psychophysical parameters and stability duration, there is no significant effect of gender [4,17].

Etiology of deafness

Establishing an effect of etiology of deafness and psychophysical parameters and stability is often challenging, given that frequently the cause of deafness is unknown. Because of the lack of most studies to differentiate etiology, there is yet to be any identified conditions that definitively have a significant effect [3,4,20]. A few specific conditions have been identified as likely having particular effects on elements of the psychophysical parameters. The T score has been associated with the presence and type of tissue present within the cochlear, with pathological tissue growth within the cochlear being associated with increased T scores and a reduced DR score [21,22]. Conditions associated with ganglion cell survival may show a relationship between number of surviving neurons and improved C scores [20]. The degree to which pathological tissue or nerve cell survival impacts on duration to stability however has not been assessed.

Duration of deafness

It is well established that the longer the duration of deafness the poorer the audiological outcomes with cochlear implantation [16,17,23-25]. Prolonged auditory deprivation has been considered to be a significant factor in reducing the benefit potentially received by cochlear implantation, and is the foundation for the recommendation of preoperative hearing aids [26]. Dynamic ranges have been found to be reduced with deafness greater than 10 years, which may influence satisfaction with the implant [20]. Duration of deafness has not been shown as a significant variable for time to map stability [4].

Array type

One small study compared perimodiolar arrays to straight electrode arrays in the same individuals who had bilateral implantation first with one and then another electrode array type. As might be expected, compound action potential thresholds, T levels and C levels were lower in perimodiolar arrays but there was not any significant difference in dynamic range [27]. This study did not follow patients for long enough to comment on timing for stability, but given the lack of difference in dynamic range between array types, it would be unlikely to be an important variable for map stability.

The second side in bilateral cochlear implantation

In the current health economic climate of first world countries, many researchers are investigating to justify the cost effectiveness of bilateral cochlear implantation. Bilateral implantation have added benefits (over unilateral) to recipients with bilateral profound hearing loss including improved sound localization and speech perception in noise [28,29]. This follows on to provide improved quality of life in a way that can be measured as a positive over the economic cost [10-13]. A randomized control trial on cost utility of bilateral implants concluded that bilateral implants is cost effective if the patient has a life expectancy of five to ten years or longer [30]. Interestingly, the majority of cost analyses of bilateral implantation are yet to incorporate the costs associated with implant rehabilitation and mapping. When examined as a primary outcome, the time for map stability has been defined as significantly shorter on the second side [4]. There was a reduced time to achieve stability on average by 36 days in the second implant (87 days for first implant and 51 days for the second implant) [4]. Potential explanations for faster duration to achieve stability include faster neural pathways and neuroplasticity resulting from prior experience and practice relating to the first implant mapping process. Prior learning has been shown to be fundamental in the development of new neural pathways [31]. Other proposed mechanisms include patients being more familiar with the process and what auditory stimuli sound like. It is recognized that initial auditory stimuli is often labelled as uncomfortable or not tolerable relating to inexperience and unfamiliarity with tones, and that with experience these tones become recognized as acceptable [32]. All these potential explanations tie back to the patient’s subjective experience being the most likely factor affecting time of map stability. Despite this significantly reduced duration and the costs associated with audiology follow up, many institutions do not alter the mapping process for the second side in bilateral implantation.

With consideration to mapping, a unique issue to the second implanted side is that of the user needing to fuse the information of both implants into a single sound stimuli. Failure to do this by the patient leads to sounds seeming unbalanced with a single sound source being perceived as separate [33]. Balancing not only involves loudness but also localization of the sound source. Fusion of the sound information can take time, although how long is needed is undefined. There has been a suggestion that new mapping procedures and signal processing strategies are needed, for the second implant in bilateral implantation, to allow for better fusion between them [33-35]. Another potential for delay in the second side is that electrodes mapped to the same frequency range in each ear may stimulate different locations in each cochlea due to an insertion depth difference of each electrode array. This also can account for poor sound image fusion [36]. It is recognized that the timing of the second implant, particularly in pre lingual children, is important for outcomes including central processing and language development [37]. It has not been reported whether this translates into comparably longer mapping times for the second implant. If these factors where adapted into a mapping process designed for the second side in bilateral implantation, the time for map stability could even be potentially shorter.

As described above, since the patient’s subjective feedback is the major tool in an audiology mapping session, it seems plausible why only limited variables have been directly linked to timing for map stability and that in the case of the second implant a patient benefits from having already experienced a first implant [4].

Other potential variables

A number of other factors have been identified as effecting the audiological outcomes of cochlear implantation including pre-lingual compared to post-lingual deafness, the presence of residual hearing, the coding strategy used and the implant manufacturer [38-39]. These have yet to be examined with regards to mapping and would benefit from being investigated in future research.

251518

Conclusion

The time it takes to map stability contributes greatly to the cost of post-operative rehabilitation in cochlear implantation. The greatest factor in determining map stability is the patient’s subjective experience. Because this is difficult to quantify, there is a need for further studies to examine relationships between preoperative variables and the mapping process so that these can be factored into the mapping planning, rather than applying a “one size fits all approach”, which is the current standard of care. This is of particular need in the setting of the second side in bilateral implantation.

251520

References

  1. Russell JL, Pine HS, Young DL (2013) Pediatric cochlear implantation: expanding applications and outcomes. PediatrClin North Am 60: 841-863.
  2. Shapiro WH, Bradham TS (2012) Cochlear implant programming. OtolaryngolClin North Am 45: 111-127.
  3. Walravens E, Mawman D, O'Driscoll M (2006) Changes in psychophysical parameters during the first month of programming the nucleus contour and contour advance cochlear implants. Cochlear Implants Int 7: 15-32.
  4. Domville-Lewis C, Santa Maria PL, Upson G, Chester-Browne R, Atlas MD (2015) Psychophysical Map Stability in Bilateral Sequential Cochlear Implantation: Comparing Current Audiology Methods to a New Statistical Definition. Ear Hear 36: 497-504.
  5. Vaerenberg B, Smits C, De Ceulaer G, Zir E, Harman S, et al. (2014) Cochlear implant programming: a global survey on the state of the art. ScientificWorldJournal 2014: 501738.
  6. Schmidt M, Griesser A (1997) Long-term stability of fitting parameters with the COMBI 40. Am J Otol 18: S109-110.
  7. Brown CJ, Hughes ML, Luk B, Abbas PJ, Wolaver A, et al. (2000) The relationship between EAP and EABR thresholds and levels used to program the nucleus 24 speech processor: data from adults. Ear Hear 21: 151-163.
  8. Franck KH, Norton SJ (2001) Estimation of psychophysical levels using the electrically evoked compound action potential measured with the neural response telemetry capabilities of Cochlear Corporation's CI24M device. Ear Hear 22: 289-299.
  9. Vargas JL, Sainz M, Roldan C, Alvarez I, de la Torre A (2012) Long-term evolution of the electrical stimulation levels for cochlear implant patients. ClinExpOtorhinolaryngol 5: 194-200.
  10. Summerfield AQ, Lovett RE, Bellenger H, Batten G (2010) Estimates of the cost-effectiveness of pediatric bilateral cochlear implantation. Ear Hear 31: 611-624.
  11. Kuthubutheen J, Mittmann N, Amoodi H, Qian W, Chen JM (2015) The effect of different utility measures on the cost-effectiveness of bilateral cochlear implantation. Laryngoscope 125: 442-447.
  12. Chen JM, Amoodi H, Mittmann N (2014) Cost-utility analysis of bilateral cochlear implantation in adults: a health economic assessment from the perspective of a publicly funded program. Laryngoscope 124: 1452-1458.
  13. Crathorne L, Bond M, Cooper C, Elston J, Weiner G, et al. (2012) A systematic review of the effectiveness and cost-effectiveness of bilateral multichannel cochlear implants in adults with severe-to-profound hearing loss. ClinOtolaryngol 37: 342-354.
  14. Shapiro WH, Huang T, Shaw T, Roland JT Jr, Lalwani AK (2008) Remote intraoperative monitoring during cochlear implant surgery is feasible and efficient. OtolNeurotol 29: 495-498.
  15. Gantz BJ, Tyler RS, Knutson JF, Woodworth G, Abbas P, et al. (1988) Evaluation of five different cochlear implant designs: audiologic assessment and predictors of performance. Laryngoscope 98: 1100-1106.
  16. Blamey PJ, Pyman BC, Gordon M, Clark GM, Brown AM, et al. (1992) Factors predicting postoperative sentence scores in postlinguistically deaf adult cochlear implant patients. Ann OtolRhinolLaryngol 101: 342-348.
  17. Green KM, Bhatt Y, Mawman DJ, O'Driscoll MP, Saeed SR, et al. (2007) Predictors of audiological outcome following cochlear implantation in adults. Cochlear Implants Int 8: 1-11.
  18. Shea JJ, Domico EH, Orchik DJ (1990) Speech recognition ability as a function of duration of deafness in multichannel cochlear implant patients. Laryngoscope 100: 223-226.
  19. Molisz A, Zarowski A, Vermeiren A, Theunen T, De Coninck L, et al. (2015) Postimplantation changes of electrophysiological parameters in patients with cochlear implants. AudiolNeurootol 20: 222-228.
  20. Shim Y, Kim H, Chang M, Kim C (1995) Map dynamic ranges versus duration of hearing loss in cochlear implantees. Ann OtolRhinolLaryngolSuppl 166: 178-180.
  21. Busby PA, Plant KL, Whitford LA (2002) Electrode impedance in adults and children using the Nucleus 24 cochlear implant system. Cochlear Implants Int 3: 87-103.
  22. Kawano A, Seldon HL, Clark GM, Ramsden RT, Raine CH (1998) Intracochlear factors contributing to psychophysical percepts following cochlear implantation. ActaOtolaryngol 118: 313-326.
  23. Gantz BJ, Woodworth GG, Knutson JF, Abbas PJ, Tyler RS (1993) Multivariate predictors of audiological success with multichannel cochlear implants. Ann OtolRhinolLaryngol 102: 909-916.
  24. Kileny PR, Zimmerman-Phillips S, Kemink JL, Schmaltz SP (1991) Effects of preoperative electrical stimulability and historical factors on performance with multichannel cochlear implant. Ann OtolRhinolLaryngol 100: 563-568.
  25. Waltzman SB, Fisher SG, Niparko JK, Cohen NL (1995) Predictors of postoperative performance with cochlear implants. Ann OtolRhinolLaryngolSuppl 165: 15-18.
  26. Mosnier I, Bebear JP, Marx M, Fraysse B, Truy E, et al. (2014) Predictive factors of cochlear implant outcomes in the elderly. AudiolNeurootol 19: 15-20.
  27. Jeong J, Kim M, Heo JH, Bang MY, Bae MR, et al. (2015) Intraindividual comparison of psychophysical parameters between perimodiolar and lateral-type electrode arrays in patients with bilateral cochlear implants. OtolNeurotol 36: 228-234.
  28. Tyler RS, Dunn CC, Witt SA, Noble WG (2007) Speech perception and localization with adults with bilateral sequential cochlear implants. Ear Hear 28: 86S-90S.
  29. Basura GJ, Eapen R, Buchman CA (2009) Bilateral cochlear implantation: current concepts, indications, and results. Laryngoscope 119: 2395-2401.
  30. Smulders YE, van Zon A, Stegeman I, van Zanten GA, Rinia AB, et al. (2016) Cost-Utility of Bilateral Versus Unilateral Cochlear Implantation in Adults: A Randomized Controlled Trial. OtolNeurotol 37: 38-45.
  31. Eggermont JJ (2008) The role of sound in adult and developmental auditory cortical plasticity. Ear Hear 29: 819-829.
  32. Sun JC, Skinner MW, Liu SY, Huang TS (1999) Effect of speech processor program modifications on cochlear implant recipients' threshold and maximum acceptable loudness levels. Am J Audiol 8: 128-136.
  33. Fitzgerald MB, Kan A, Goupell MJ (2015) Bilateral Loudness Balancing and Distorted Spatial Perception in Recipients of Bilateral Cochlear Implants. Ear Hear 36: e225-236.
  34. Fitzgerald MB, Sagi E, Morbiwala TA, Tan CT, Svirsky MA (2013) Feasibility of real-time selection of frequency tables in an acoustic simulation of a cochlear implant. Ear Hear 34: 763-772.
  35. Goupell MJ, Kan A, Litovsky RY (2013) Mapping procedures can produce non-centered auditory images in bilateral cochlear implantees. J AcoustSoc Am 133: EL101-107.
  36. Kan A, Litovsky RY, Goupell MJ (2015) Effects of interaural pitch matching and auditory image centering on binaural sensitivity in cochlear implant users. Ear Hear 36: e62-68.
  37. Santa Maria PL, Oghalai JS (2014) When is the best timing for the second implant in pediatric bilateral cochlear implantation?Laryngoscope 124: 1511-1512.
  38. van Schoonhoven J, Sparreboom M, van Zanten BG, Scholten RJ, Mylanus EA, et al. (2013) The effectiveness of bilateral cochlear implants for severe-to-profound deafness in adults: a systematic review. OtolNeurotol 34: 190-198.
  39. Gaylor JM, Raman G, Chung M, Lee J, Rao M, et al. (2013) Cochlear implantation in adults: a systematic review and meta-analysis. JAMA Otolaryngol Head Neck Surg 139: 265-272.

Citation: Maria CS, Maria PLS (2016) Variables that Effect Psychophysical Parameters and Duration to Stability in Cochlear Implant Mapping. Otolaryngol (Sunnyvale) 6:226. DOI: 10.4172/2161-119X.1000226

Copyright: © 2016 Maria CS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Review summary

  1. Bowen
    Posted on Oct 26 2016 at 9:10 pm
    The study is concerned with determining the factors affecting cochlear implants map stability. This is a very interesting study point and was properly discussed in the manuscript.

Review summary

  1. Bowen
    Posted on Oct 26 2016 at 9:10 pm
    The study is concerned with determining the factors affecting cochlear implants map stability. This is a very interesting study point and was properly discussed in the manuscript.

Post your comment

captcha   Reload  Can't read the image? click here to refresh
Peer Reviewed Journals

Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals

Top