Dataset Information

Local pattern classification differentiates processes of economic valuation.

ABSTRACT: For effective decision making, individuals must be able to form subjective values from many types of information. Yet, the neural mechanisms that underlie potential differences in value computation across different decision scenarios are incompletely understood. Here, we used functional magnetic resonance imaging (fMRI), in conjunction with the machine learning technique of support vector machines (SVM), to identify brain regions that contain unique local information associated with different types of valuation. We used a combinatoric approach that evaluated the unique contributions of different brain regions to model generalization strength. Local voxel patterns in left posterior parietal cortex contained unique information differentiating probabilistic and intertemporal valuation, a result that was not accessible using standard fMRI analyses. We conclude that the early valuation phases for these reward types differ on a fine spatial scale, suggesting the existence of computational topographies along the value construction pathway.

SUBMITTER: Clithero JA

PROVIDER: S-EPMC2694407 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Local pattern classification differentiates processes of economic valuation.

Clithero John A JA Carter R McKell RM Huettel Scott A SA

NeuroImage 20090121 4

For effective decision making, individuals must be able to form subjective values from many types of information. Yet, the neural mechanisms that underlie potential differences in value computation across different decision scenarios are incompletely understood. Here, we used functional magnetic resonance imaging (fMRI), in conjunction with the machine learning technique of support vector machines (SVM), to identify brain regions that contain unique local information associated with different ty ...[more]

PMID: 19349244

Similar Datasets

Project description:BackgroundA greater emphasis on providing high-value orthopaedic interventions has resulted in increased health economic reporting. The contingent-valuation method (CVM) is used to determine consumer valuation of the benefits provided by healthcare interventions. CVM is an important value-based health economic tool that is underutilized in orthopaedic surgery.Questions/purposesThe purpose of this study was to (1) identify previously published CVM studies in the orthopaedic literature, (2) assess the methodologies used for CVM research, and (3) understand how CVM has been used in the orthopaedic cost-benefit analysis framework.MethodsA systematic review of the literature using the MEDLINE database was performed to compile CVM studies. Search terms incorporated the phrase willingness to pay (WTP) or willingness to accept (WTA) in combination with orthopaedic clinical key terms. Study methodology was appraised using previously defined empirical and conceptual criteria for CVM studies.ResultsOf the 160 studies retrieved, 22 (13.8%) met our inclusion criteria. The economics of joint arthroplasty (n?=?6, 27.3%) and non-operative osteoarthritis care (n?=?4, 18.2%) were the most common topics. Most studies used CVM for pricing and/or demand forecasting (n?=?16, 72.7%); very few studies used CVM for program evaluation (n?=?6). WTP was used in all included studies, and one study used both WTP and WTA. Otherwise, there was little consistency among included studies in terms of CVM methodology. Open-ended questioning was used by only ten studies (45.5%), a significant number of studies did not perform a sensitivity analysis (n?=?9, 40.9%), and none of the studies accounted for the risk preference of subjects. Only two of the included studies applied CVM within a cost-benefit analysis framework.ConclusionCVM is not commonly reported in orthopaedic surgery and is seldom used in the context of cost-benefit analysis. There is wide variability in the methods used to perform CVM. We propose that CVM is an appropriate and underappreciated method for understanding the value of orthopaedic interventions. Increased attention should be paid to consumer valuations for orthopaedic interventions.

Dataset Information

Local pattern classification differentiates processes of economic valuation.

Publications

Local pattern classification differentiates processes of economic valuation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets