994 resultados para Speech Disorders
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There are at least six psychotherapeutic treatments of personality disorders having received empirical and clinical validation in terms of their efficacy. These treatments are based on different theoretical models, namely the cognitive-behavioural, psychodynamic and interpersonal models. This article briefly presents these treatments, focusing on the process of therapeutic change. It is assumed that the process of emotional activation is one of the most interesting theoretical psychotherapy ingredient in treatments of these patients. The treatments are discussed regarding this hypothesis and its clinical implications.
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The contribution of muscle biopsies to the diagnosis of neuromuscular disorders and the indications of various methods of examination are investigated by analysis of 889 biopsies from patients suffering from myopathic and/or neurogenic disorders. Histo-enzymatic studies performed on frozen material as well as immunohistochemistry and electron microscopy allowed to provide specific diagnoses in all the neurogenic disorders (polyneuropathies and motor neuron diseases), whereas one third of myopathies remained uncertain. Confrontation of neuropathological data with the clinical indications for histological investigations shows that muscle biopsies reveal the diagnosis in 25% of the cases (mainly in congenital and metabolic myopathies) and confirm and/or complete the clinical diagnosis in 50%. In the remaining cases with non specific abnormalities neuropathological investigations may help the clinician by excluding well defined neuromuscular disorders. Analysis of performed studies and results of investigations show the contribution and specificity of each method for the diagnosis. Statistical evaluation of this series indicates that cryostat sectioning for histo- and immunochemical and electron microscopy increases the rate of diagnoses of neuromuscular diseases: full investigation was necessary for the diagnosis in 30% of the cases. The interpretation of the wide range of pathological reactions in muscles requires a close cooperation with the clinician.
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Numerous acute and chronic neuromuscular disorders may induce an acute ventilatory failure. The latter is sometimes triggered by a complication like a bronchial aspiration, a pneumonia, or an atelectasis. The acute ventilatory failure often develops insidiously and may be missed until the terminal event. Four different clinical presentations are depicted in this review: slowly progressive (Duchenne muscular dystrophy), rapidly progressive (Guillain-Barré syndrome), chronic with exacerbations (myasthenia gravis), and a form consecutive to critical care (critical care polyneuropathy and myopathy). For each type of ventilatory failure, the review discusses the preventive surveillance, the treatment of acute respiratory failure, and the long-term management.
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OBJECTIVE: To assess the efficacy and safety of rivastigmine for the treatment of HIV-associated neurocognitive disorders (HAND) in a cohort of long-lasting aviremic HIV+ patients. METHODS: Seventeen aviremic HIV+ patients with HAND were enrolled in a randomized, double-blind, placebo-controlled, crossover study to receive either oral rivastigmine (up to 12 mg/day for 20 weeks) followed by placebo (20 weeks) or placebo followed by rivastigmine. Efficacy endpoints were improvement on rivastigmine in the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) and individual neuropsychological scores of information processing speed, attention/working memory, executive functioning, and motor skills. Measures of safety included frequency and nature of adverse events and abnormalities on laboratory tests and on plasma concentrations of antiretroviral drugs. Analyses of variance with repeated measures were computed to look for treatment effects. RESULTS: There was no change on the primary outcome ADAS-Cog on drug. For secondary outcomes, processing speed improved on rivastigmine (Trail Making Test A: F(1,13) = 5.57, p = 0.03). One measure of executive functioning just failed to reach significance (CANTAB Spatial Working Memory [strategy]: F(1,13) = 3.94, p = 0.069). No other change was observed. Adverse events were frequent, but not different from those observed in other populations treated with rivastigmine. No safety issues were recorded. CONCLUSIONS: Rivastigmine in aviremic HIV+ patients with HAND seemed to improve psychomotor speed. A larger trial with the better tolerated transdermal form of rivastigmine is warranted. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that rivastigmine is ineffective for improving ADAS-Cog scores, but is effective in improving some secondary outcome measures in aviremic HIV+ patients with HAND.
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BACKGROUND: In 2005, findings of the first "cost of disorders of the brain in Europe" study of the European Brain Council (EBC) showed that these costs cause a substantial economic burden to the Swiss society. In 2010 an improved update with a broader range of disorders has been analysed. This report shows the new findings for Switzerland and discusses changes. METHODS: Data are derived from the EBC 2010 census study that estimates 12-month prevalence of 12 groups of disorders of the brain and calculates costs (direct health-care costs, direct non-medical costs and indirect costs) by combining top-down and bottom up cost approaches using existing data. RESULTS: The most frequent disorder was headache (2.3 million). Anxiety disorders were found in 1 million persons and sleep disorders in 700,000 persons. Annual costs for all assessed disorders total to 14.5 billion Euro corresponding to about 1,900 EUR per inhabitant per year. Mood, psychotic disorders and dementias (appr. 2 billion EUR each) were most costly. Costs per person were highest for neurological/neurosurgery-relevant disorders, e.g. neuromuscular disorders, brain tumour and multiple sclerosis (38,000 to 24,000 EUR). CONCLUSION: The estimates of the EBC 2010 study for Switzerland provide a basis for health care planning. Increase in size and costs compared to 2005 are mostly due to the inclusion of new disorders (e.g., sleep disorders), or the re-definition of others (e.g., headache) and to an increase in younger cohorts. We suggest coordinated research and preventive measures coordinated between governmental bodies, private health-care and pharmaceutical companies.
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Highly active anti-retroviral therapy (HAART) has almost abolished HIV-related mortality and serious opportunistic diseases; among them, AIDS-related dementia. However, minor forms of cognitive dysfunction, have not disappeared, and even increased in frequency. Ageing of HIV+ patients, insufficient penetration of anti-viral drugs into the brain with continuous low-grade viral production and inflammation may play a role. Minor cognitive dysfunction in HIV infection shares some clinical and pathophysiological features with neuro-degenerative diseases, in particular Alzheimers disease. It can thus be postulated that, such in Alzheimer disease, anti-cholinesterase drugs might also be efficacious in AIDS-related minor cognitive dysfunction. This hypothesis has not been tested yet however A clinical trial using ravistigmine is starting this spring in patients with HIV-associated cognitive dysfunction in Geneva and Lausanne.
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Dyskinesias are infrequent presentations in acute stroke (1%). They can be found more frequently as delayed presentations after a stroke, but the prevalence is not available from the literature. The full spectrum of hyper- and hypo-akinetic syndromes has been described, but three main pictures are rather specific of an acute stroke: limb shaking, hemichorea-hemiballism and unilateral asterixis. Besides limb shaking, that seems to reflect a transient diffuse ischemia of the frontosubcortical motor pathway, lesions are described at all levels of the frontosubcortical motor circuit including the sensorimotor frontoparietal cortex, the striatum, the pallidum, the thalamic nuclei, the subthalamic nucleus, the substantia nigra, the cerebellum, the brainstem and their interconnecting pathways, as ischemic or hemorrhagic strokes. The preferentially late development of dyskinesia could reflect the return to a more ancestral motor control level, the most functional possible with the remaining configuration of structures, elaborated by brain plasticity after stroke.
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The coexistence of diabetes and eating disorder (ED) is more prevalent than we think; indeed it seems to occur in 10 to 20% of cases. Therefore ED deserve attention to be detected and treated in order to permit a decreased in morbidity and better outcomes in body weight loss. The association of type 2 diabetes and ED is frequently seen in younger, overweighed or obese patients suffering of at least one psychiatric co-morbidities and frequently in a difficult psychosocial setting. To succeed in ED treatment, a multidisciplinary and specialised team in eating disorder is requested, however these patients are highly fragile and complex and therapeutic failure has to be feared.
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This special issue aims to cover some problems related to non-linear and nonconventional speech processing. The origin of this volume is in the ISCA Tutorial and Research Workshop on Non-Linear Speech Processing, NOLISP’09, held at the Universitat de Vic (Catalonia, Spain) on June 25–27, 2009. The series of NOLISP workshops started in 2003 has become a biannual event whose aim is to discuss alternative techniques for speech processing that, in a sense, do not fit into mainstream approaches. A selected choice of papers based on the presentations delivered at NOLISP’09 has given rise to this issue of Cognitive Computation.
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The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.
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Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.
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Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis is sometimes made by excluding other dementias, and definitive confirmation must be done trough a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to im-provement of early diagnosis of AD and its degree of severity, from an automatic analysis performed by non-invasive intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that have the great advantage of being non invasive, low cost and without any side effects.