Somatosensory discrimination of shape: prediction of success in normal volunteers and Parkinsonian patients
| Autor: | M. Nienhusmeier, Alex Keel, Bruno Weder, H.P. Ludin, K. L. Leenders |
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| Jazyk: | angličtina |
| Rok vydání: | 1998 |
| Předmět: |
Adult
Male CORTEX tactile exploration media_common.quotation_subject Video Recording Interval (mathematics) perception HAND Logistic regression Somatosensory system information processing DISEASE Task (project management) Developmental psychology Discrimination Learning Reference Values Perception Humans media_common Probability Tactile discrimination business.industry General Neuroscience somatosensory discrimination Information processing Pattern recognition Cognition Parkinson Disease Somatosensory Cortex Middle Aged Form Perception Logistic Models macrogeometric objects Touch Case-Control Studies CEREBRAL ACTIVATION Female Artificial intelligence business Psychology |
| Zdroj: | Experimental Brain Research, 120(1), 104-108. SPRINGER |
| ISSN: | 0014-4819 |
| Popis: | Tactile discrimination of macrogeometric objects in a two-alternative forced-choice procedure represents a complex task including somatosensory and higher-order cognitive processing. The objects for somatosensory discrimination were rectangular parallelepipeds that differed in oblongness only. They were presented in sequential pairs to 12 normal volunteers and 13 parkinsonian patients. Owing to the dichotomy of the task, we calculated estimates of the probability of a correct answer by a binomial approach. The probability of a correct answer could be calculated on the basis of a logistic model ensuring that the probability values lie in the interval [0, 1]. The relationship between the probability of a correct answer and the difference in oblongness of the objects could be described solely by one coefficient determined by logistic regression. This coefficient summarized the effectiveness of the simultaneous and consecutive operations inherent in the task and allowed characterization of performances in groups and individuals. |
| Databáze: | OpenAIRE |
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