Linked Life Data

18678252

Source:http://linkedlifedata.com/resource/pubmed/id/18678252

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-9-23
pubmed:abstractText
Functional magnetic resonance imaging (fMRI) has quickly become the most prominent tool in cognitive neuroscience. In this article, I outline some of the limits on the kinds of inferences that can be supported by fMRI, focusing particularly on reverse inference, in which the engagement of specific mental processes is inferred from patterns of brain activation. Although this form of inference is weak, newly developed methods from the field of machine learning offer the potential to formalize and strengthen reverse inferences. I conclude by discussing the increasing presence of fMRI results in the popular media and the ethical implications of the increasing predictive power of fMRI.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0959-4388
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
223-7
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
The role of fMRI in cognitive neuroscience: where do we stand?
pubmed:affiliation
UCLA, Department of Psychology, Los Angeles, CA 90095-1563, USA. poldrack@ucla.edu
pubmed:publicationType
Journal Article, Review