Literature DB >> 11525328

A tool for comparison of PET and fMRI methods: calculation of the uncertainty in the location of an activation site in a PET image.

L D Nickerson1, C C Martin, J L Lancaster, J H Gao, P T Fox.   

Abstract

A technique for calculating the uncertainty in the location of an activation site in a PET image, without performing repeated measures, is presented. With the development of new fMRI methods for measuring cerebral hemodynamics, demonstration of the efficacy of these techniques will be critical to establish clinical utility. Comparisons with PET are a powerful tool for validating these new fMRI techniques. In addition to the fact that PET techniques are well-established methods for making physiological measurements in vivo, PET methods are also free of the geometric distortions and nonuniform signal-to-noise artifacts (due to signal dropout) common in fMRI techniques. Comparisons reported previously have been limited by the large number of trials acquired in single-subject fMRI studies and the small number of trials in a PET study (due to the radiation dose to the patient or the interscan delays for tracer decay). Our method calculates both the center of mass (CM) of a predefined region of interest and the uncertainty in the location of the CM using the preimage PET data (sinograms). Results of phantom studies demonstrate that our method is an unbiased measurement equivalent to that of repeated measures with a large number of images. Extension of this technique to estimate the uncertainty in the location of an activation site in a PET statistical parametric map will permit precise rigorous comparisons of PET and fMRI methods in single subjects without the constraints imposed by the relatively small number of PET measurements.

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Year:  2001        PMID: 11525328     DOI: 10.1006/nimg.2000.0732

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Is the center of mass (COM) a reliable parameter for the localization of brain function in fMRI?

Authors:  G Fesl; B Braun; S Rau; M Wiesmann; M Ruge; P Bruhns; J Linn; T Stephan; J Ilmberger; J-C Tonn; H Brückmann
Journal:  Eur Radiol       Date:  2008-01-29       Impact factor: 5.315

Review 2.  The neural basis of sex differences in sexual behavior: A quantitative meta-analysis.

Authors:  Timm B Poeppl; Berthold Langguth; Rainer Rupprecht; Adam Safron; Danilo Bzdok; Angela R Laird; Simon B Eickhoff
Journal:  Front Neuroendocrinol       Date:  2016-10-11       Impact factor: 8.606

3.  The functional neuroanatomy of male psychosexual and physiosexual arousal: a quantitative meta-analysis.

Authors:  Timm B Poeppl; Berthold Langguth; Angela R Laird; Simon B Eickhoff
Journal:  Hum Brain Mapp       Date:  2013-05-14       Impact factor: 5.038

Review 4.  A neural circuit encoding sexual preference in humans.

Authors:  Timm B Poeppl; Berthold Langguth; Rainer Rupprecht; Angela R Laird; Simon B Eickhoff
Journal:  Neurosci Biobehav Rev       Date:  2016-06-23       Impact factor: 8.989

  4 in total

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