Jonathan S. Brumberg

Social and Behavioral Sciences - Speech-Language-Hearing
Associate Professor
Primary office:
785.864.1061
Dole Human Development Center, 3001
University of Kansas
1000 Sunnyside Ave
Lawrence, KS 66045
Second office:
785.854.1461
Haworth Hall, 4115



Summary

Jonathan Brumberg is an Associate Professor in the Department of Speech-Language-Hearing with a courtesy appointment in Electrical Engineering and Computer Science, and affiliations with the Neuroscience Graduate Program and Bioengineering Graduate Program. He earned his PhD at Boston University in the area of computational neuroscience of speech motor control in 2009 and continued at Boston University as a research assistant professor before coming to the University of Kansas in 2012. His research interests are in the neurological mechanisms underlying speech and communication and their use in brain-machine interfaces (BMI).

Education

Teaching

Dr. Brumberg teaches undergraduate and graduate courses involving the neural bases of speech production / motor control (SPLH 462) and speech perception (AUD 816). He also mentors undergraduate students in the university research experience program in speech-language-hearing, and electrical engineering and computer science.

Teaching Interests

  • Speech science
  • Neuroscience
  • Neuroimaging
  • Speech perception

Research

Dr. Brumberg is interested in understanding the neural mechanisms underlying speech production, through electrophysiological and behavioral studies. He currently directs an NIH funded research program to develop brain-machine interfaces for control of augmentative and alternative communication devices using electroencephalography (EEG). He is also interested in studying the role of interactive computer programs and interfaces in speech research and rehabilitation, specifically those employing artificial speech synthesis for studying speech production in speakers with and without impairment.

Research Interests

  • Speech neuroscience
  • Speech motor control
  • Brain machine interfaces
  • Neural engineering
  • Signal processing

Service

Dr. Brumberg is an associate editor of Brain-Computer Interfaces and is a member of the Society for Neuroscience, the American Speech-Language-Hearing Association and the BCI Society.

Selected Publications

Brumberg, J. S., & Pitt, K. M. (2019). Motor induced suppression of the N100 ERP during motor-imagery control of a speech synthesizer brain-computer interface [Journal Articles]. Journal of Speech, Language and Hearing Research, 62(7), 2133–2140. https://doi.org/10.1044/2019_JSLHR-S-MSC18-18-0198
Pitt, K. M., & Brumberg, J. S. (2018). A Screening Protocol Incorporating Brain-Computer Interface Feature Matching Considerations for Augmentative and Alternative Communication [Journal Articles]. Assistive Technology, 1–12. https://doi.org/10.1080/10400435.2018.1512175
Brumberg, J. S., Thorson, J. C., & Patel, R. (2018). The Prosodic Marionette: a method to visualize speech prosody  and assess perceptual and expressive prosodic abilities [Journal Articles]. Speech Communication, 104, 95–105. https://doi.org/10.1016/j.specom.2018.09.009
Pitt, K. M., & Brumberg, J. S. (2018). Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication [Journal Articles]. American Journal of Speech-Language Pathology, 27(3), 950–964. https://doi.org/10.1044/2018_AJSLP-17-0135
Brumberg, J. S., Pitt, K. M., & Burnison, J. D. (2018). A non-invasive brain-computer interface for real-time speech synthesis: The Importance of Multimodal Feedback [Journal Articles]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(4), 874–881. https://doi.org/10.1109/TNSRE.2018.2808425
Brumberg, J. S., Pitt, K. M., Mantie-Kozlowski, A., & Burnison, J. D. (2018). Brain-computer interfaces for augmentative and alternative communication: a tutorial [Journal Articles]. American Journal of Speech-Language Pathology, 27, 1–12. https://doi.org/10.1044/2017_AJSLP-16-0244
Brumberg, J. S., Nguyen, A., Pitt, K. M., & Lorenz, S. D. (2018). Examining sensory ability, feature matching, and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential [Journal Articles]. Disability and Rehabilitation: Assistive Technology, 1–9. https://doi.org/10.1080/17483107.2018.1428369
Schultz, T., Wand, M., Hueber, T., Krusienski, D. J., & Brumberg, J. S. (2017). Biosignal-based Spoken Communication: A Survey [Journal Articles]. IEEE Transactions on Audio, Speech and Language Processing, 25(12), 2257–2271. https://doi.org/10.1109/TASLP.2017.2752365
Brumberg, J. S., Krusienski, D. J., Chakrabarti, S., Gunduz, A., Brunner, P., Ritaccio, A., & Schalk, G. (2016). Spatio-temporal Evolution of Cortical Processes Related to Continuous Overt and Covert Speech in a Reading Task [Journal Articles]. PLoS ONE, 11. https://doi.org/10.1371/journal.pone.0166872
Brumberg, J. S., Burnison, J. D., & Guenther, F. H. (2016). Brain-machine interfaces for speech restoration [Book Chapters]. In P. van Leishout, B. Maassen, & H. Terband (Eds.), Speech motor control in normal and disordered speech: future developments in theory and methodology.
Brumberg, J. S., Burnison, J. D., & Pitt, K. M. (2016). Using motor imagery to control brain-computer interfaces for communication [Conference Proceedings]. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (pp. 14–24). Spring International Publishing Switzerland. https://doi.org/10.1007/978-3-319-39955-3 2
Brumberg, J. S., Castro, N., & Rao, A. (2015). Temporal dynamics of the speech readiness potential, and its use in a neural decoder of speech motor intention [Conference Proceedings]. In Interspeech 2015.
Chakrabarti, S., Sandberg, H. M., Brumberg, J. S., & Krusienski, D. J. (2015). Progress in speech decoding from the electrocorticogram [Journal Articles]. Biomedical Engineering Letters, 5(1), 10–21. https://doi.org/10.1007/s13534-015-0175-1
Lotte, F., Brumberg, J. S., Brunner, P., Gunduz, A., Ritaccio, A. L., Guan, C., & Schalk, G. (2015). Electrocorticographic  Representations of Segmental Features in Continuous Speech [Journal Articles]. Frontiers in Human Neuroscience, 9(97). https://doi.org/10.3389/fnhum.2015.00097
Stephen, E., LePage, K. Q., Eden, U. T., Brumberg, J. S., Guenther, F. H., & Kramer, M. A. (2014). Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses [Journal Articles]. Frontiers in Computational Neuroscience, 8(31). https://doi.org/10.3389/fncom.2014.00031
Terband, H., Maassen, B., Guenther, F. H., & Brumberg, J. S. (2014). Neurocomputational modeling of speech motor control in developmental speech disorders: testing hypotheses about underlying neurological mechanisms [Journal Articles]. Journal of Communication Disorders, 47, 17–33. https://doi.org/10.1016/j.jcomdis.2014.01.001
Brumberg, J. S., Wright, E. J., Andreasen, D. S., Guenther, F. H., & Kennedy, P. R. (2011). Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex [Journal Articles]. Frontiers in Neuroscience, 5(65).
Brumberg, J. S., Nieto-Castanon, A., Kennedy, P., & Guenther, F. (2010). Brain-computer interfaces for speech communication [Journal Articles]. Speech Communication, 52(4), 367ΓÇô379.
Brumberg, J. S., & Guenther, F. H. (2010). Development of speech prostheses: current status and recent advances [Journal Articles]. Expert Review of Medical Devices, 7(5), 667ΓÇô79.
Denby, B., Schultz, T., Honda, K., Hueber, T., Gilbert, J., & Brumberg, J. S. (2010). Silent speech interfaces [Journal Articles]. Speech Communication , 52(4), 270ΓÇô287.
Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A., Tourville, J. A., Panko, M., Law, R., Siebert, S. A., Bartels, J. L., Andreasen, D. S., Ehirim, P., Mao, H., & Kennedy, P. R. (2009). A Wireless Brain-Machine Interface for Real-Time Speech Synthesis [Journal Articles]. PLoS ONE, 4(12), e8218.

Selected Work

Selected Presentations

Brumberg, J. S. (5/23/2018). Decoding articulatory information from electrocorticography during speech production. 7th International Brain-Computer Interface Meeting, Workshop on Progress in Decoding Speech Processes Using Intracranial Signals. Pacific Grove, CA
Brumberg, J. S., Pitt, K. M., & Burnison, J. D. (11/30/2016). Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits. American Speech-Language-Hearing Association Convention 2016. Philadelphia, PA
Pitt, K. M., Brumberg, J. S., Searl, J., & Kuruvilla-Dugdale, M. (11/30/2016). Inter-institutional, cutting edge ALS research across the disease course, from motor speech to AAC BCI. American Speech-Language-Hearing Convention 2016. Philadelphia, PA
Brumberg, J. S. (8/16/2016). Using imagined and preparatory motor activity to control assistive devices for speech communication. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Workshop on Communication, Restoration of Function, and Consciousness Assessment with BCI. Orlando, FL
Brumberg, J. S., Burnison, J. D., & Pitt, K. M. (7/20/2016). Using motor imagery to control brain-computer interfaces for communication. 18th International Conference on Human-Computer Interaction, 10th International Conference on Augmented Cognition. Toronto, ON, Canada
Brumberg, J. S., Krusienski, D. J., Lotte, F., & Schalk, G. (6/30/2016). Examining speech production using intracranial electrophysiological recordings. 6th International Brain-Computer Interface Meeting, Workshop on Decoding Speech Processes using Intracranial Signals. Pacific Grove, CA
Brumberg, J. S., Lotte, F., Krusienski, D. J., & Schalk, G. (3/31/2016). The spatiotemporal dynamics of speech as segmental and suprasegmental timescales. 2016 Motor Speech Conference. Newport Beach, CA
Peters, B., Brumberg, J. S., Mooney, A., Fried-Oken, M., & Zeitlin, D. (11/12/2015). State of the science update: brain-computer interfaces for augmentative & alternative communication. American Speech-Language-Hearing Association Convention 2015. Denver, CO
Brumberg, J. S. (7/31/2014). Interdisciplinary collaborations at work in brain-machine interface research. Merrill Research Retreat. Lied Lodge, Nebraska City, NE
Stepp, C. E., & Brumberg, J. S. (11/16/2013). What you need to know: surface electromyography & electroencephalography in speech & hearing. Annual Convention of the American Speech-Language-Hearing Association, 2013. Chicago, IL
Stepp, C. E., Patel, R., & Brumberg, J. S. (11/30/2012). Games for assessment and rehabilitation of speech and language impairments. Annual Convention for American Speech-Language-Hearing Association, 2012. Atlanta, GA

Selected Grants

A virtual vocal tract for speech output using non-invasive brain-computer interface. National Institutes of Health. $1836964.00. Submitted 11/6/2017 (7/1/2018 - 6/30/2023). Federal. Status: Funded
Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits. American Speech-Language-Hearing Foundation. $25000.00. Submitted 4/24/2015 (1/1/2016 - 12/31/2016). Not-for-Profit (not Foundation). Status: Funded
Prosody in congenital and acquired dysarthria. R21DC013095-01A1. National Institutes of Health / National Institute for Deafness and Other Communication Disorders. $59947.00. Submitted 3/5/2013 (12/1/2013 - 11/30/2016). Federal. Status: Funded. Subcontract PI
Translating brain-computer interface to commercial augmentative and alternative communication devices for clinical practice. University of Kansas. $8000.00. Submitted 8/20/2014 (9/12/2014 - 9/30/2016). University (KU or KUMC). Status: Funded
Investigating output modality for a brain-computer interface for communication. NIH R03 DC011304. National Institute of Deafness and Other Communication Disorders (NIDCD). $300000.00. (9/21/2011 - 8/31/2016). Federal. Status: Funded. $300,000 over 3 years.
CELEST: A Center of Excellence for Learning in Education, Science and Technology. SMA-0835976. National Science Foundation. $26041.00. (3/1/2013 - 2/28/2015). Federal. Status: Funded. Subcontract for developing sensorimotor rhythm functionality for Unlock Framework
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