Neural mechanisms of perceptual decision-making and their link to neuropsychiatric symptoms in multiple sclerosis.

08:00 EDT 30th May 2019 | BioPortfolio

Summary of "Neural mechanisms of perceptual decision-making and their link to neuropsychiatric symptoms in multiple sclerosis."

Decision-making (DM) capabilities are impaired in multiple sclerosis (MS). A variety of researchers hypothesized that this impairment is associated with reduced quality of life (QoL) and neuropsychiatric symptoms. Studies explicitly testing this hypothesis, however, are rare, provided inconclusive results, or evaluated only a limited selection of DM domains. Consequently, we conducted the first MS study on perceptual DM (e.g. deciding whether a car will fit into a parking lot based on a visual percept) to test this assumption.


Journal Details

This article was published in the following journal.

Name: Multiple sclerosis and related disorders
ISSN: 2211-0356
Pages: 139-145


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Medical and Biotech [MESH] Definitions

Mathematical or statistical procedures used as aids in making a decision. They are frequently used in medical decision-making.

Use of an interactive computer system designed to assist the physician or other health professional in choosing between certain relationships or variables for the purpose of making a diagnostic or therapeutic decision.

A scenario in decision analysis in which two individuals motivated entirely by self-preservation at the expense of the other, end up in a worse state than if they had cooperated with each other in the decision-making process.

A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

The process of making a selective intellectual judgment when presented with several complex alternatives consisting of several variables, and usually defining a course of action or an idea.

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