Maria Dietrich
University of Missouri
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Publication
Featured researches published by Maria Dietrich.
Journal of Voice | 2008
Maria Dietrich; Katherine Verdolini Abbott; Jackie Gartner-Schmidt; Clark A. Rosen
The studys objectives were to investigate (1) the frequency of perceived stress, anxiety, and depression for patients with common voice disorders, (2) the distribution of these variables by diagnosis, and (3) the distribution of the variables by gender. Retrospective data were derived from self-report questionnaires assessing recent stress (Perceived Stress Scale-10), anxiety, and depression (Hospital Anxiety and Depression Scale) in a cohort of new patients presenting to a voice clinic. Data are presented on 160 patients with muscle tension dysphonia (MTD), benign vocal fold lesions, paradoxical vocal fold movement disorder (PVFMD), or glottal insufficiency. Pooled data indicated that average stress, anxiety, and depression scores were similar to those found for the healthy population. However, 25.0%, 36.9%, and 31.2% of patients showed elevated stress, anxiety, and depression scores, respectively, compared to norms. Patients with PVFMD had the most frequent occurrence-and patients with glottal insufficiency had the least frequent occurrence of elevated stress, anxiety, and depression. Stress and depression were more common with MTD than with lesions, whereas reverse results were obtained for anxiety. More females than males had elevated stress, anxiety, and depression scores. The data are consistent with suggestions that stress, anxiety, and depression may be common among some patients with PVFMD, MTD, and vocal fold lesions and more common for women than men. However, individual variability in the data set was large. Further studies should evaluate the specific role of these conditions for selected categories of voice disorders in susceptible individuals.
International Journal of Speech-Language Pathology | 2012
Maria Dietrich; Richard D. Andreatta; Yang Jiang; Ashwini Joshi; Joseph C. Stemple
Abstract The objectives of this study were to examine whether the personality trait of stress reaction (SR), as assessed with the Multidimensional Personality Questionnaire-Brief Form (MPQ-BF), (1) influences prefrontal and limbic area activity during overt sentence reading and if (2) SR and associated individual differences in prefrontal and limbic activations correlate with sensorimotor cortical activity during overt sentence reading. Ten vocally healthy adults (22–57 years) participated in a functional MRI study using an event-related sparse sampling design to acquire brain activation data during sentence production tasks (covert, whispered, overt). The outcome measure was the blood oxygenation level-dependent signal change in prefrontal, limbic, and primary somatosensory (S1) and motor cortices (M1). Significant positive correlations were found between SR scores and S1, dorsolateral prefrontal cortex (both r =.73, p <.05), and periaqueductal gray (r =.88, p <.01) activity. M1 activity was positively correlated with SR (r =.64, p <.05) and negatively with social potency (r = −.70, p <.05). Our findings suggest that motor cortical control subserving voice and speech production varies with expression of selected personality traits. Future studies should investigate the functional significance of personality differences in the central neural control of vocalization.
international conference on e-health networking, applications and services | 2014
Nicholas R. Smith; T. Klongtruagrok; Guilherme N. DeSouza; Chi-Ren Shyu; Maria Dietrich; Matthew P. Page
Voice disorders are non-trivial when it comes to their early detection. Symptoms range from slight hoarseness to complete loss of voice, and may seriously impact personal and professional life. To date, we are still largely missing reliable data to help us better understand and screen voice pathologies. In this paper, we present an ambulatory voice monitoring system using surface electromyography (sEMG) and a robust algorithm for pattern recognition of vocal gestures. The system, which can process up to four sEMG channels simultaneously, also can store large amounts of data (up to 13 hours of continuous use) and in the future will be used to analyze on-the-fly various patterns of sEMG activation in the search for maladaptive laryngeal activity that may lead to voice disorders. In the preliminary results presented here, our pattern recognition algorithm (Hierarchical GUSSS) detected six different sEMG patterns of activation, and it achieved 90% accuracy.
Voice and Speech Review | 2011
Joseph C. Stemple; Maria Dietrich
retirement age. Seniors are healthier and wealthier than the previous generation, but this population is far from being homogeneous (NIA, 2009). Apart from gender, age group, income levels, racial and ethnic differences, two opposite subgroups are the (1) sedentary and medically compromised versus (2) active and healthy older adults. According to national statistics, 76.9% of adults 65-74 years are not considered sedentary and 64.1% of adults 75 years or older are not considered inactive (CDC, 2009). The currently active and healthy aging population is fueled by baby boomers entering their senior years. This subgroup already maintains a far healthier and active lifestyle than any previous generation and strives to continue to do so (AssociatedPress, 2005; Mortland, 2006; UMHS, 2008).
Physiological Reports | 2016
Joseph C. Stemple; Richard D. Andreatta; Tanya Seward; Vrushali Angadi; Maria Dietrich; Colleen A. McMullen
Clinical evidence suggests that laryngeal muscle dysfunction is associated with human aging. Studies in animal models have reported morphological changes consistent with denervation in laryngeal muscles with age. Life‐long laryngeal muscle activity relies on cytoskeletal integrity and nerve–muscle communication at the neuromuscular junction (NMJ). It is thought that neurotrophins enhance neuromuscular transmission by increasing neurotransmitter release. We hypothesized that treatment with neurotrophin 4 (NTF4) would modify the morphology and functional innervation of aging rat laryngeal muscles. Fifty‐six Fischer 344xBrown Norway rats (6‐ and 30‐mo age groups) were used to evaluate to determine if NTF4, given systemically (n = 32) or directly (n = 24), would improve the morphology and functional innervation of aging rat thyroarytenoid muscles. Results demonstrate the ability of rat laryngeal muscles to remodel in response to neurotrophin application. Changes were demonstrated in fiber size, glycolytic capacity, mitochondrial, tyrosine kinase receptors (Trk), NMJ content, and denervation in aging rat thyroarytenoid muscles. This study suggests that growth factors may have therapeutic potential to ameliorate aging‐related laryngeal muscle dysfunction.
IEEE Journal of Biomedical and Health Informatics | 2016
Nicholas R. Smith; Luis A. Rivera; Maria Dietrich; Chi-Ren Shyu; Matthew P. Page; Guilherme N. DeSouza
Symptoms of voice disorder may range from slight hoarseness to complete loss of voice; from modest vocal effort to uncomfortable neck pain. But even minor symptoms may still impact personal and especially professional lives. While early detection and diagnosis can ameliorate that effect, to date, we are still largely missing reliable and valid data to help us better screen for voice disorders. In our previous study, we started to address this gap in research by introducing an ambulatory voice monitoring system using surface electromyography (sEMG) and a robust algorithm (HiGUSSS) for pattern recognition of vocal gestures. Here, we expand on that work by further analyzing a larger set of simulated vocal dysfunctions. Our goal is to demonstrate that such a system has the potential to recognize and detect real vocal dysfunctions from multiple individuals with high accuracy under both intra and intersubject conditions. The proposed system relies on four sEMG channels to simultaneously process various patterns of sEMG activation in the search for maladaptive laryngeal activity that may lead to voice disorders. In the results presented here, our pattern recognition algorithm detected from two to ten different classes of sEMG patterns of muscle activation with an accuracy as high as 99%, depending on the subject and the testing conditions.
Journal of Speech Language and Hearing Research | 2012
Maria Dietrich; Katherine Verdolini Abbott
Journal of Speech Language and Hearing Research | 2011
Colleen A. McMullen; Timothy A. Butterfield; Maria Dietrich; Richard D. Andreatta; Francisco H. Andrade; Lisa T. Fry; Joseph C. Stemple
Journal of Speech Language and Hearing Research | 2014
Maria Dietrich; Katherine Verdolini Abbott
Journal of Voice | 2018
Jeong Min Lee; Nelson Roy; Maria Dietrich