Literature DB >> 18258457

Normalization in PET group comparison studies--the importance of a valid reference region.

Per Borghammer1, Kristjana Yr Jonsdottir2, Paul Cumming2, Karen Ostergaard3, Kim Vang4, Mahmoud Ashkanian2, Manoucher Vafaee2, Peter Iversen5, Albert Gjedde6.   

Abstract

INTRODUCTION: In positron emission tomography (PET) studies of cerebral blood flow (CBF) and metabolism, the large interindividual variation commonly is minimized by normalization to the global mean prior to statistical analysis. This approach requires that no between-group or between-state differences exist in the normalization region. Given the variability typical of global CBF and the practical limit on sample size, small group differences in global mean easily elude detection, but still bias the comparison, with profound consequences for the physiological interpretation of the results.
MATERIALS AND METHODS: Quantitative [15O]H2O PET recordings of CBF were obtained in 45 healthy subjects (21-81 years) and 14 patients with hepatic encephalopathy (HE). With volume-of-interest (VOI) and voxel-based statistics, we conducted regression analyses of CBF as function of age in the healthy group, and compared the HE group to a subset of the controls. We compared absolute CBF values, and CBF normalized to the gray matter (GM) and white matter (WM) means. In additional simulation experiments, we manipulated the cortical values of 12 healthy subjects and compared these to unaltered control data.
RESULTS: In healthy aging, CBF was shown to be unchanged in WM and central regions. In contrast, with normalization to the GM mean, CBF displayed positive correlation with age in the central regions. Very similar artifactual increases were seen in the HE comparison and also in the simulation experiment.
CONCLUSION: Ratio normalization to the global mean readily elevates CBF in unchanged regions when a systematic between-group difference exists in gCBF, also when this difference is below the detection threshold. We suggest that the routine normalization to the global mean in earlier studies resulted in spurious interpretations of perturbed CBF. Normalization to central WM yields less biased results in aging and HE and could potentially serve as a normalization reference region in other disorders as well.

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Year:  2008        PMID: 18258457     DOI: 10.1016/j.neuroimage.2007.12.057

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


  32 in total

1.  Characterizing Alzheimer's disease using a hypometabolic convergence index.

Authors:  Kewei Chen; Napatkamon Ayutyanont; Jessica B S Langbaum; Adam S Fleisher; Cole Reschke; Wendy Lee; Xiaofen Liu; Dan Bandy; Gene E Alexander; Paul M Thompson; Leslie Shaw; John Q Trojanowski; Clifford R Jack; Susan M Landau; Norman L Foster; Danielle J Harvey; Michael W Weiner; Robert A Koeppe; William J Jagust; Eric M Reiman
Journal:  Neuroimage       Date:  2011-01-27       Impact factor: 6.556

2.  Cerebral blood flow by arterial spin labeling in poststroke dementia.

Authors:  M J Firbank; J He; A M Blamire; B Singh; P Danson; R N Kalaria; J T O'Brien
Journal:  Neurology       Date:  2011-04-26       Impact factor: 9.910

3.  Brain energy metabolism and blood flow differences in healthy aging.

Authors:  Joel Aanerud; Per Borghammer; M Mallar Chakravarty; Kim Vang; Anders B Rodell; Kristjana Y Jónsdottir; Arne Møller; Mahmoud Ashkanian; Manouchehr S Vafaee; Peter Iversen; Peter Johannsen; Albert Gjedde
Journal:  J Cereb Blood Flow Metab       Date:  2012-02-29       Impact factor: 6.200

4.  Empirical derivation of the reference region for computing diagnostic sensitive ¹⁸fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample.

Authors:  Jerod M Rasmussen; Anita Lakatos; Theo G M van Erp; Frithjof Kruggel; David B Keator; James T Fallon; Fabio Macciardi; Steven G Potkin
Journal:  Biochim Biophys Acta       Date:  2011-09-19

5.  Direct voxel-based comparisons between grey matter shrinkage and glucose hypometabolism in chronic alcoholism.

Authors:  Ludivine Ritz; Shailendra Segobin; Coralie Lannuzel; Céline Boudehent; François Vabret; Francis Eustache; Hélène Beaunieux; Anne L Pitel
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

6.  Network Structure and Function in Parkinson's Disease.

Authors:  Ji Hyun Ko; Phoebe G Spetsieris; David Eidelberg
Journal:  Cereb Cortex       Date:  2018-12-01       Impact factor: 5.357

7.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

8.  Arterial spin labelling reveals an abnormal cerebral perfusion pattern in Parkinson's disease.

Authors:  Tracy R Melzer; Richard Watts; Michael R MacAskill; John F Pearson; Sina Rüeger; Toni L Pitcher; Leslie Livingston; Charlotte Graham; Ross Keenan; Ajit Shankaranarayanan; David C Alsop; John C Dalrymple-Alford; Tim J Anderson
Journal:  Brain       Date:  2011-02-09       Impact factor: 13.501

9.  Abnormal regional brain function in Parkinson's disease: truth or fiction?

Authors:  Yilong Ma; Chengke Tang; James R Moeller; David Eidelberg
Journal:  Neuroimage       Date:  2008-10-18       Impact factor: 6.556

10.  Sex differences of human cortical blood flow and energy metabolism.

Authors:  Joel Aanerud; Per Borghammer; Anders Rodell; Kristjana Y Jónsdottir; Albert Gjedde
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

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