Literature DB >> 9758742

Influence of ANOVA design and anatomical standardization on statistical mapping for PET activation.

M Senda1, K Ishii, K Oda, N Sadato, R Kawashima, M Sugiura, I Kanno, B Ardekani, S Minoshima, I Tatsumi.   

Abstract

We have created images of z value, error, and variation components for a PET activation study using various ANOVA designs and anatomical standardization methods. Data were acquired in four PET centers. In each center, CBF was measured on six normal male subjects under resting and covert verb generation, three times for each. The images were anatomically standardized with LINEAR transformation, SPM (Ver. 95), HBA (Karolinska/Tohoku), or MICHIGAN (Minoshima). ANOVA was performed pixel by pixel to compute t (and z) for the task main effect (Verb vs Rest) in four different designs: (i) two way (subject and task) (2W), (ii) two-way with interaction (2WI), (iii) subject considered a random factor (2WI-MX), and (iv) three-way (subject, task, and replication) (3W). A large area extending from the Broca to the left premotor cortex was activated. The localization of the highest peak depended both on the anatomical standardization and on the ANOVA design, the variation ranging 3-4 cm. Smoothing reduced the variation while erasing possible subfoci. The z images of 2W, 2WI, and 3W looked alike, whereas 2WI-MX presented lower peak z values. SPM tended to present higher z values than the other methods. The error was high in the gray and low in the white matter. The root mean square for the subject effect was high on the border of gray matter especially in LINEAR and HBA, revealing intersubject mismatch in the gray matter distribution. The root mean square for the subject-by-task interaction effect revealed individual variation in activation. Copyright 1998 Academic Press.

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Year:  1998        PMID: 9758742     DOI: 10.1006/nimg.1998.0370

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


  6 in total

Review 1.  Statistical limitations in functional neuroimaging. II. Signal detection and statistical inference.

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

3.  Comparison of spatial normalization procedures and their impact on functional maps.

Authors:  Fabrice Crivello; Thorsten Schormann; Nathalie Tzourio-Mazoyer; Per E Roland; Karl Zilles; Bernard M Mazoyer
Journal:  Hum Brain Mapp       Date:  2002-08       Impact factor: 5.038

4.  Validation of anatomical standardization of FDG PET images of normal brain: comparison of SPM and NEUROSTAT.

Authors:  Kayo Hosaka; Kazunari Ishii; Setsu Sakamoto; Norihiro Sadato; Hiroshi Fukuda; Takashi Kato; Kazuro Sugimura; Michio Senda
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-08-21       Impact factor: 9.236

5.  Effects of image normalization on the statistical analysis of perfusion MRI in elderly brains.

Authors:  Weiying Dai; Owen T Carmichael; Oscar L Lopez; James T Becker; Lewis H Kuller; H Michael Gach
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

6.  Spatial normalization of lesioned brains: performance evaluation and impact on fMRI analyses.

Authors:  Jenny Crinion; John Ashburner; Alex Leff; Matthew Brett; Cathy Price; Karl Friston
Journal:  Neuroimage       Date:  2007-05-24       Impact factor: 6.556

  6 in total

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