Monita Chatterjee

Last updated
Monita Chatterjee
Scientific career
Fields Auditory sciences
Institutions Boys Town National Research Hospital
Thesis “Aspects of Frequency and Intensity Coding in the Cochlea”  (1994)
Doctoral advisor Jozef J. Zwislocki and Robert L. Smith

Monita Chatterjee is an auditory scientist and the Director of the Auditory Prostheses & Perception Laboratory at Boys Town National Research Hospital. [1] She investigates the basic mechanisms underlying auditory processing by cochlear implant listeners.

Contents

Biography

Chatterjee did her undergraduate studies in Electrical Engineering at Jadavpur University in Kolkata, India, graduating in 1987. After obtaining her PhD in Neuroscience from Syracuse University in 1994, she spent 10 years, from 1994 to 2004, at the House Ear Institute, first as postdoctoral researcher in the group led by Robert V. Shannon, and then as a scientist. She joined the University of Maryland, College Park, in 2005 as an assistant professor, and was promoted to associate professor in 2009. In 2012, she moved to Omaha, NE, joining the research group at Boys Town National Research Hospital. [2] At Boys Town, Chatterjee leads the APPLab [3] and has served as Director of the Technology Core. [4] She is currently Program Director of the Post-Doctoral Training Grant at Boys Town, funded continuously by NIH for 41 years.

Chatterjee's work has been funded by the National Institutes of Health since 1998. She has served as a member of the Program Committee of the Association for Research in Otolaryngology. [5] In 2017, she was elected Fellow of the Acoustical Society of America "For contributions to cochlear implant psychophysics and speech perception." [6]

Chatterjee was a keynote speaker at the 105th convention of the Audio Engineering Society in 1998. [7] She was also a keynote speaker at the 2017 conference of the American Cochlear Implant Alliance (CI2017). [8] She was elected Scientific Chair of the 2013 Conference on Implantable Auditory Prostheses (CIAP). [9] In 2018 she was an invited Translational Research Speaker at the American Auditory Society's annual meeting. [10] She has served as Associate Editor of Ear & Hearing and American Journal of Audiology, and Frontiers in Aud. Cog. Neurosc. and is currently Associate Editor of the Journal of the Association for Research in Otolaryngology [11] and JASA Express Letters [12]

In 2021, Chatterjee established a network for Black, Indigenous, and other Persons of Color working in the area of Communication Sciences and Disorders at any career level. [13] The primary objective of this grassroots network is to share resources, mentoring, and collaborative interests between members.

Research

Chatterjee has published extensively on the processing and perception of electrical signals by cochlear implant patients. [14] These include studies of channel-interaction, [15] [16] amplitude modulation processing, [17] modulation masking/modulation detection interference [18] [19] and voice pitch coding, an area of specific deficits in listeners with cochlear implants. [20]

Chatterjee pioneered research on auditory scene analysis in cochlear-implant users. [21] Until this study, the exploration of the auditory stream segregation phenomenon was limited to normal hearing listeners and hearing-impaired listeners.

Chatterjee's recent work turned to auditory, [22] [23] [24] affective, [25] [26] [27] and linguistic development, [28] and has focused on deaf children with cochlear implants. The particularity of this unique population is the extraordinary neuroplasticity they exhibit during the first years of language acquisition following implantation. Chatterjee wondered to what extent their plastic brain could adapt to the relatively poor auditory inputs delivered by implants and overcome their limitations. Despite its remarkable success in restoring hearing to deaf individuals, the cochlear implant is not yet perfect in transmitting a speech signal with as much fidelity as acoustic hearing. [29] Much of Chatterjee’s early work was concerned with those limitations in spectro-temporal resolution, exacerbated by physiological interactions in electric stimulation patterns between multiple channels of the electrode array. [30] Those limitations should be particularly problematic for pitch perception, and she reasoned that cochlear-implanted children must find it especially challenging to recognize intonation within sentences or within words (as in the case of tonal languages) or to perceive emotion in a speaker’s voice. Those difficulties would represent a major obstacle when learning to interact with the primary caregiver, as well as peers, to communicate mood or intent, which has implications all the way to the development of theory of mind and psycho-social constructs.

Related Research Articles

<span class="mw-page-title-main">Cochlear implant</span> Prosthesis

A cochlear implant (CI) is a surgically implanted neuroprosthesis that provides a person who has moderate-to-profound sensorineural hearing loss with sound perception. With the help of therapy, cochlear implants may allow for improved speech understanding in both quiet and noisy environments. A CI bypasses acoustic hearing by direct electrical stimulation of the auditory nerve. Through everyday listening and auditory training, cochlear implants allow both children and adults to learn to interpret those signals as speech and sound.

Lip reading, also known as speechreading, is a technique of understanding a limited range of speech by visually interpreting the movements of the lips, face and tongue without sound. Estimates of the range of lip reading vary, with some figures as low as 30% because lip reading relies on context, language knowledge, and any residual hearing. Although lip reading is used most extensively by deaf and hard-of-hearing people, most people with normal hearing process some speech information from sight of the moving mouth.

<span class="mw-page-title-main">McGurk effect</span> Perceptual illusion

The McGurk effect is a perceptual phenomenon that demonstrates an interaction between hearing and vision in speech perception. The illusion occurs when the auditory component of one sound is paired with the visual component of another sound, leading to the perception of a third sound. The visual information a person gets from seeing a person speak changes the way they hear the sound. If a person is getting poor-quality auditory information but good-quality visual information, they may be more likely to experience the McGurk effect. Integration abilities for audio and visual information may also influence whether a person will experience the effect. People who are better at sensory integration have been shown to be more susceptible to the effect. Many people are affected differently by the McGurk effect based on many factors, including brain damage and other disorders.

Auditory neuropathy (AN) is a hearing disorder in which the outer hair cells of the cochlea are present and functional, but sound information is not transmitted sufficiently by the auditory nerve to the brain. The cause may be several dysfunctions of the inner hair cells of the cochlea or spiral ganglion neuron levels. Hearing loss with AN can range from normal hearing sensitivity to profound hearing loss.

The Greenwood function correlates the position of the hair cells in the inner ear to the frequencies that stimulate their corresponding auditory neurons. Empirically derived in 1961 by Donald D. Greenwood, the relationship has shown to be constant throughout mammalian species when scaled to the appropriate cochlear spiral lengths and audible frequency ranges. Moreover, the Greenwood function provides the mathematical basis for cochlear implant surgical electrode array placement within the cochlea.

Speech perception is the process by which the sounds of language are heard, interpreted, and understood. The study of speech perception is closely linked to the fields of phonology and phonetics in linguistics and cognitive psychology and perception in psychology. Research in speech perception seeks to understand how human listeners recognize speech sounds and use this information to understand spoken language. Speech perception research has applications in building computer systems that can recognize speech, in improving speech recognition for hearing- and language-impaired listeners, and in foreign-language teaching.

The auditory brainstem response (ABR), also called brainstem evoked response audiometry (BERA) or brainstem auditory evoked potentials (BAEPs) or brainstem auditory evoked responses (BAERs) is an auditory evoked potential extracted from ongoing electrical activity in the brain and recorded via electrodes placed on the scalp. The measured recording is a series of six to seven vertex positive waves of which I through V are evaluated. These waves, labeled with Roman numerals in Jewett and Williston convention, occur in the first 10 milliseconds after onset of an auditory stimulus. The ABR is considered an exogenous response because it is dependent upon external factors.

Binaural fusion or binaural integration is a cognitive process that involves the combination of different auditory information presented binaurally, or to each ear. In humans, this process is essential in understanding speech as one ear may pick up more information about the speech stimuli than the other.

Diplacusis, also known as diplacusis binauralis, binauralis disharmonica or interaural pitch difference (IPD), is a hearing disorder whereby a single auditory stimulus is perceived as different pitches between ears. It is typically experienced as a secondary symptom of sensorineural hearing loss, although not all patients with sensorineural hearing loss experience diplacusis or tinnitus. The onset is usually spontaneous and can occur following an acoustic trauma, for example an explosive noise, or in the presence of an ear infection. Sufferers may experience the effect permanently, or it may resolve on its own. Diplacusis can be particularly disruptive to individuals working within fields requiring acute audition, such as musicians, sound engineers or performing artists.

Phonemic restoration effect is a perceptual phenomenon where under certain conditions, sounds actually missing from a speech signal can be restored by the brain and may appear to be heard. The effect occurs when missing phonemes in an auditory signal are replaced with a noise that would have the physical properties to mask those phonemes, creating an ambiguity. In such ambiguity, the brain tends towards filling in absent phonemes. The effect can be so strong that some listeners may not even notice that there are phonemes missing. This effect is commonly observed in a conversation with heavy background noise, making it difficult to properly hear every phoneme being spoken. Different factors can change the strength of the effect, including how rich the context or linguistic cues are in speech, as well as the listener's state, such as their hearing status or age.

Temporal envelope (ENV) and temporal fine structure (TFS) are changes in the amplitude and frequency of sound perceived by humans over time. These temporal changes are responsible for several aspects of auditory perception, including loudness, pitch and timbre perception and spatial hearing.

<span class="mw-page-title-main">Brian Moore (scientist)</span>

Brian C.J. Moore FMedSci, FRS is an Emeritus Professor of Auditory Perception in the University of Cambridge and an Emeritus Fellow of Wolfson College, Cambridge. His research focuses on psychoacoustics, audiology, and the development and assessment of hearing aids.

Auditory science or hearing science is a field of research and education concerning the perception of sounds by humans, animals, or machines. It is a heavily interdisciplinary field at the crossroad between acoustics, neuroscience, and psychology. It is often related to one or many of these other fields: psychophysics, psychoacoustics, audiology, physiology, otorhinolaryngology, speech science, automatic speech recognition, music psychology, linguistics, and psycholinguistics.

<span class="mw-page-title-main">Christian Lorenzi</span>

Christian Lorenzi is Professor of Experimental Psychology at École Normale Supérieure in Paris, France, where he has been Director of the Department of Cognitive Studies and Director of Scientific Studies until. Lorenzi works on auditory perception.

Deniz Başkent is a Turkish-born Dutch auditory scientist who works on auditory perception. As of 2018, she is Professor of Audiology at the University Medical Center Groningen, Netherlands.

Robert V. Shannon is Research Professor of Otolaryngology-Head & Neck Surgery and Affiliated Research Professor of Biomedical Engineering at University of Southern California, CA, USA. Shannon investigates the basic mechanisms underlying auditory neural processing by users of cochlear implants, auditory brainstem implants, and midbrain implants.

<span class="mw-page-title-main">Quentin Summerfield</span> British psychologist

Quentin Summerfield is a British psychologist, specialising in hearing. He joined the Medical Research Council Institute of Hearing Research in 1977 and served as its deputy director from 1993 to 2004, before moving on to a chair in psychology at The University of York. He served as head of the Psychology department from 2011 to 2017 and retired in 2018, becoming an emeritus professor. From 2013 to 2018, he was a member of the University of York's Finance & Policy Committee. From 2015 to 2018, he was a member of York University's governing body, the Council.

<span class="mw-page-title-main">Richard Dowell</span> Australian audiologist and researcher

Richard Charles Dowell is an Australian audiologist, academic and researcher. He holds the Graeme Clark Chair in Audiology and Speech Science at University of Melbourne. He is a former director of Audiological Services at Royal Victorian Eye and Ear Hospital.

Computational audiology is a branch of audiology that employs techniques from mathematics and computer science to improve clinical treatments and scientific understanding of the auditory system. Computational audiology is closely related to computational medicine, which uses quantitative models to develop improved methods for general disease diagnosis and treatment.

Judy R. Dubno is an American scientist and researcher in the field of audiology. She is a distinguished university professor and director of research in the department of otolaryngology at the Medical University of South Carolina in Charleston. She is recognized for her scientific contributions to the understanding of presbycusis, a condition of hearing loss that occurs gradually for many aging adults. She has been involved in the development and implementation of several new methods for assessing hearing loss, including the Hearing in Noise Test (HINT) and Speech Intelligibility Index (SII). She has won numerous awards for her work, including the Jerger Career Award for Research in Audiology in 2011. She served as President of the Acoustical Society of America from 2014 to 2015.

References

  1. ↑ "Monita Chatterjee, Ph.D." Archived from the original on 2018-03-11.
  2. ↑ Curriculum vitae, retrieved 2016-07-09.
  3. ↑ "Chatterjee Lab website".
  4. ↑ "BTNRH Technology Core".
  5. ↑ Program Committee, Association for Research in Otolaryngology, retrieved 2018-03-09.
  6. ↑ Fellows of the Society, Acoustical Society of America, retrieved 2018-03-09.
  7. ↑ 105th AES Convention, Audio Engineering Society, retrieved 2016-07-09.
  8. ↑ "15th Symposium on Cochlear Implants in Children Program Book" (PDF). American Cochlear Implant Alliance. 2017. Retrieved 2024-03-15.
  9. ↑ "CIAP 2013 Home Page". www.ciaphome.org. Retrieved 2018-06-13.
  10. ↑ "AAS 2018 Final Program" (PDF).
  11. ↑ "JARO Editorial Board".
  12. ↑ "JASA EL Editorial Board".
  13. ↑ "BIPOC-CSD network".
  14. ↑ Chatterjee, Monita. "Chatterjee publication list". pubmed. Retrieved 13 June 2018.
  15. ↑ Chatterjee, Monita (1998). "Forward masked excitation patterns in multielectrode electrical stimulation". Journal of the Acoustical Society of America. 103 (5): 2565–2572. Bibcode:1998ASAJ..103.2565C. doi:10.1121/1.422777. PMID   9604350.
  16. ↑ Chatterjee, Monita (2006). "Effects of stimulation mode, level and location on forward-masked excitation patterns in cochlear implant patients". Journal of the Association for Research in Otolaryngology. 7 (1): 15–25. doi:10.1007/s10162-005-0019-2. PMC   2504584 . PMID   16270234.
  17. ↑ Chatterjee, Monita (2011). "Detection and rate discrimination of amplitude modulation in electrical hearing". Journal of the Acoustical Society of America. 130 (3): 1567–1580. Bibcode:2011ASAJ..130.1567C. doi:10.1121/1.3621445. PMC   3188971 . PMID   21895095.
  18. ↑ Chatterjee, Monita (2003). "Modulation masking in cochlear implant listeners: envelope versus tonotopic components". Journal of the Acoustical Society of America. 113 (4): 2042–2053. Bibcode:2003ASAJ..113.2042C. doi:10.1121/1.1555613. PMID   12703715.
  19. ↑ Chatterjee, Monita (2004). "Across- and within-channel envelope interactions in cochlear implant listeners". Journal of the Association for Research in Otolaryngology. 5 (4): 360–375. doi:10.1007/s10162-004-4050-5. PMC   2504569 . PMID   15675001.
  20. ↑ Chatterjee, Monita (2008). "Processing F0 with cochlear implants: Modulation frequency discrimination and speech intonation recognition". Hearing Research. 235 (1–2): 143–156. doi:10.1016/j.heares.2007.11.004. PMC   2237883 . PMID   18093766.
  21. ↑ Chatterjee, M.; Sarampalis, A.; Oba, S. I. (2006). "Auditory stream segregation with cochlear implants: A preliminary report". Hearing Research. 222 (1–2): 100–107. doi:10.1016/j.heares.2006.09.001. PMC   1820844 . PMID   17071032.
  22. ↑ Deroche, M.L.D.; Zion, D.J.; Schurman, J.R.; Chatterjee, M. (2012). "Sensitivity of school-aged children to pitch-related cues". The Journal of the Acoustical Society of America. 131 (4): 2938–2947. Bibcode:2012ASAJ..131.2938D. doi:10.1121/1.3692230. PMC   3339501 . PMID   22501071.
  23. ↑ Deroche, M.L.D.; Lu, H.-P.; Limb, C.J.; Lin, Y.-S.; Chatterjee, M. (2014). "Deficits in the pitch sensitivity of cochlear-implanted children speaking English or Mandarin". Frontiers in Neuroscience. 8: 282. doi: 10.3389/fnins.2014.00282 . PMC   4158799 . PMID   25249932.
  24. ↑ Deroche, M.L.D.; Kulkarni, A.M.; Christensen, J.A.; Limb, C.J.; Chatterjee, M. (2016). "Deficits in the sensitivity to pitch sweeps by school-aged children wearing cochlear implants". Frontiers in Neuroscience. 10: 73. doi: 10.3389/fnins.2016.00073 . PMC   4776214 . PMID   26973451.
  25. ↑ Chatterjee, M.; Zion, D.J.; Deroche, M.L.D.; Burianek, B.A.; Limb, C.J.; Goren, A.P.; Kulkarni, A.M.; Christensen, J.A. (2015). "Voice emotion recognition by cochlear-implanted children and their normally-hearing peers". Hearing Research. 322: 151–162. doi:10.1016/j.heares.2014.10.003. PMC   4615700 . PMID   25448167.
  26. ↑ Jiam, N.T.; Caldwell, M.; Deroche, M.L.D.; Chatterjee, M.; Limb, C.J. (2017). "Voice emotion perception and production in cochlear implant users". Hearing Research. 352: 30–39. doi:10.1016/j.heares.2017.01.006. PMC   5937709 . PMID   28088500.
  27. ↑ Tinnemore, A.R.; Zion, D.J.; Kulkarni, A.M.; Chatterjee, M. (2018). "Children's recognition of emotional prosody in spectrally degraded speech is predicted by their age and cognitive status". Ear and Hearing. 39 (5): 874–880. doi:10.1097/AUD.0000000000000546. PMC   6046271 . PMID   29337761.
  28. ↑ Peng, S.-C.; Lu, H.-P.; Lu, N.; Lin, Y.-S.; Deroche, M.L.D.; Chatterjee, M. (2017). "Processing of acoustic cues in lexical-tone identification by pediatric cochlear-implant recipients". Journal of Speech, Language, and Hearing Research. 60 (5): 1223–1235. doi:10.1044/2016_JSLHR-S-16-0048. PMC   5755546 . PMID   28388709.
  29. ↑ Başkent, D.; Gaudrain, E.; Tamati, T.N.; Wagner, A. (2016). Perception and psychoacoustics of speech in cochlear implant users, in Scientific Foundations of Audiology: Perspectives from Physics, Biology, Modeling, and Medicine, Eds. A.T. Cacace, E. de Kleine, A.G. Holt, and P. van Dijk. San Diego, CA, USA: Plural Publishing, Inc. pp. 285–319.
  30. ↑ Chatterjee, M.; Shannon, R.V. (1998). "Forward masked excitation patterns in multielectrode electrical stimulation". The Journal of the Acoustical Society of America. 103 (5): 2565–2572. Bibcode:1998ASAJ..103.2565C. doi:10.1121/1.422777. PMID   9604350.
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