Linked Life Data

9287370

Source:http://linkedlifedata.com/resource/pubmed/id/9287370

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1997-10-23
pubmed:abstractText
Determining meaningful activation thresholds in functional magnetic resonance imaging (fMRI) paradigms is complicated by several factors. These include the time-series nature of the data, the influence of physiological rhythms (e.g. respiration) and vacillations introduced by the experimental design (e.g. cueing). We present an empirical threshold for each subject and each fMRI experiment that takes these factors into account. The method requires an additional fMRI data set as similar to the experimental paradigm as possible without dichotomously varying the experimental task of interest. A letter fluency task was used to illustrate this method. This technique differs from classical methods since the Pearson correlation probability values tabulated from statistical theory are not used. Rather each subject defines his or her own set of threshold probability values for correlations. It is against these empirical thresholds, not Pearson's, that an experimental fMRI correlation is assessed.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0165-1781
pubmed:author
pubmed:issnType
Print
pubmed:day
8
pubmed:volume
75
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
15-22
pubmed:dateRevised
2008-4-17
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
A method to determine activation thresholds in fMRI paradigms.
pubmed:affiliation
Department of Psychiatry, University of Iowa, Iowa City, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't