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Vector Laryngeal Electromyography

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Principal
Investigator: Rick
Roark, Ph.D.
Enrollment:
Open
Objective:
Electromyography is a procedure that records the electrical
activity of muscle fibers, which depolarize each time they receive action potentials from the neural drive. EMG
of laryngeal muscles has been used extensively by many investigators to determine the specific motor behavior of
the larynx during phonation, including the control of loudness and pitch, and the critical roles performed by
the larynx during respiration and swallowing. Researchers in the Department of Otolaryngology have worked with
the NeuroMuscular Research Center of Boston University to develop a new EMG technology for laryngeal muscles,
vector laryngeal electromyography, which provides a wealth of additional information about the upstream neural
mechanism that controls the muscle. The technology is being applied to study various classes of disease, such as
vocal fold paralysis/paresis, spasmodic dysphonia, and to identify "pattern signatures" within processed signals
that indicate certain neurological diseases such as Parkinsons, for the purpose of improving early
diagnosis.
Overview:
The
Department is co-recipient of a Bioengineering Research Partnership
(Program Project) with Boston University to develop and implement a new
clinical instrument to perform functional neural imaging via
electromyography. Our Department will be applying the new technology to a
clinical population having unilateral vocal fold paresis for the purpose
of improving prediction of recovery (prognosis), which has historically
proven difficult for this clinical condition. The study is funded by the
National Institutes of Health. Dr. Rick Roark is a Co-Principal
Investigator of the project.
Other Co-Principal Investigators of the five-year study include Dr. Mario
Manto of the Free University of Brussels, applying the neural imaging
technology to patients with cerebellar stroke; Dr. Zeynep Erim at the
Rehabilitation Institute of Chicago, studying neural control changes in
the aged population; and Principal Investigator Dr. Carlo De Luca of the NeuroMuscular Research Center
at Boston University, examining neural control during muscle fatigue. Departmental Co-Investigators
are Steven Schaefer, MD, James CL Li, MD, Lucian Sulica, MD and Craig
Zalvan, MD.
Eligibility: Research subjects are
being recruited for this study. If you are a physician treating unilateral vocal fold paresis of known etiology,
please contact Dr. Roark for participation details. Contact
Information: Rick
Roark, Ph.D., (212)
979-4200
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Funding:
The National Institutes of Health
[Read
the abstract]
Selected
Publications & Presentations:
Roark RM, Li JC-L, Schaefer SD, Adam A, De Luca CJ. Multiple Motor Unit Recordings of Laryngeal Muscles: The Technique of
Vector Laryngeal EMG. Laryngoscope 2002, 112:2196-2201. [Abstract]
De Luca CJ, Nawab S, Adam A, Roark R, Manto M. Precision
decomposition II for EMG signals: An NIH bioengineering research project.
XIVth Congress of the
International Society of Electrophysiology and Kinesiology, Vienna, Austria, June 2002.
Roark, RM., Dowling
EM, DeGroat RD, Watson BC, Schaefer SD. Time-Frequency analysis of thyroarytenoid
myoelectric activity in normal and spasmodic dysphonia subjects, Journal of Speech and Hearing Research
1995, 38:289-303. [Abstract]
Roark RM, De Luca CJ, Schaefer SD, Li JCL, Adam A, Wong H. Multiple motor unit recordings of laryngeal
myoelectric signals, 29th Annual Symposium: Care of the Professional Voice,
The Voice Foundation,
Philadelphia, June 2000.
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Preliminary
Results:
In A, the firing time plot of five active motor units (MU) of thyroarytenoid muscle during a high-pitched
glissando /i:/ task for a 26-year old female normal subject, accompanied by the pseudo-force (PF) and acoustic
signals. In B, the mean firing rate (MFR) plot. These data were obtained using the technique of Vector Laryngeal
EMG and provide a functional image of lower neuron activity. It is hypothesized that features of motoneuron
firing rate may help to predict recovery of laryngeal neural function.
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