Literature DB >> 2347879

The relationship between global and local changes in PET scans.

K J Friston1, C D Frith, P F Liddle, R J Dolan, A A Lammertsma, R S Frackowiak.   

Abstract

In order to localize cerebral cognitive or sensorimotor function, activation paradigms are being used in conjunction with PET measures of cerebral activity (e.g., rCBF). The changes in local cerebral activity have two components: a global, region independent change and a local or regional change. As the first step in localizing the regional effects of an activation, global variance must be removed by a normalization procedure. A simple normalization procedure is division of regional values by the whole brain mean. This requires the dependence of local activity on global activity to be one of simple proportionality. This is shown not to be the case. Furthermore, a systematic deviation from a proportional relationship across brain regions is demonstrated. Consequently, any normalization must be approached on a pixel-by-pixel basis by measuring the change in local activity and change in global activity. The changes associated with an activation can be partitioned into global and local effects according to two models: one assumes that the increase in local activity depends on global values and the other assumes independence. It is shown that the increase in activity due to a cognitive activation is independent of global activity. This independence of the (activation) condition effect and the confounding linear effect of global activity on observed local activity meet the requirements for an analysis of covariance, with the "nuisance" variable as global activity and the activation condition as the categorical independent variable. These conclusions are based on analysis of data from 24 scans: six conditions over four normal subjects using a verbal fluency paradigm.(ABSTRACT TRUNCATED AT 250 WORDS)

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Mesh:

Year:  1990        PMID: 2347879     DOI: 10.1038/jcbfm.1990.88

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  151 in total

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Authors:  K M Petersson; T E Nichols; J B Poline; A P Holmes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

Review 2.  Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models.

Authors:  K M Petersson; T E Nichols; J B Poline; A P Holmes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

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Journal:  Hum Brain Mapp       Date:  2002-06       Impact factor: 5.038

7.  Analysis and use of FMRI response delays.

Authors:  Z S Saad; K M Ropella; R W Cox; E A DeYoe
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8.  A study of the acute effect of smoking on cerebral blood flow using 99mTc-ECD SPET.

Authors:  Yuka Yamamoto; Yoshihiro Nishiyama; Toshihide Monden; Katashi Satoh; Motoomi Ohkawa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-02-15       Impact factor: 9.236

9.  Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry.

Authors:  G B Frisoni; C Testa; A Zorzan; F Sabattoli; A Beltramello; H Soininen; M P Laakso
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-12       Impact factor: 10.154

10.  Statistical Parametric Mapping reveals ligand and region-specific activation of G-proteins by CB1 receptors and non-CB1 sites in the 3D reconstructed mouse brain.

Authors:  P T Nguyen; D E Selley; L J Sim-Selley
Journal:  Neuroimage       Date:  2010-05-06       Impact factor: 6.556

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