Prosody and levodopa in Parkinsons disease

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Prosody and levodopa in Parkinson's disease.

OBJECTIVE Research is scarce regarding the use of prosodic parameters in the expression of attitudes in Parkinson's disease (PD). The purpose of this study was to evaluate the parameters used in prosodic expression of attitudes in individuals with idiopathic PD and the effect of levodopa on these parameters. METHOD We studied the use of levodopa in 10 individuals with idiopathic PD during the...

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Automatic, unsupervised classification of dyskinesia in patients with Parkinsons Disease

One of the characteristic symptoms of patients with Parkinson Disease (PD) is a rigidity of movement. These symptoms disappear after administration of Levodopa. However, the long-term use of levodopa causes involuntary movements (dyskinesia). A proper diagnosis requires an automatic, unsupervised method for the detection and classification of levodopa induced dyskinesia. The main problem, howev...

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Parkinsons Disease Classification using Neural Network and Feature Selection

In this study, the Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm are used to classify to effective diagnosis Parkinsons disease(PD).It’s a challenging problem for medical community.Typically characterized by tremor, PD occurs due to the loss of dopamine in the brains thalamic region that results in involuntary or oscillatory movement in the body. A feature selection algor...

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ژورنال

عنوان ژورنال: Arquivos de Neuro-Psiquiatria

سال: 2013

ISSN: 0004-282X

DOI: 10.1590/0004-282x20130141