Computational protocol: Neural Correlates of Stroop Performance in Alzheimer's Disease: A FDG-PET Study

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Protocol publication

[…] To investigate the relationship between SI scores and rCMglc, we used two different approaches: an ROI-based approach with a hypothesis and VBA without a hypothesis.ROI-Based Approach. The automatic anatomic labeling (AAL) algorithm and a region-combining method [,] were applied to set ROIs to measure regional brain metabolism in the 6 prefrontal areas – bilateral DLPFC (AAL template Nos. 03–04 and 07–08), bilateral orbitofrontal cortex (OFC; AAL template Nos. 05–06, 09–10, 15–16, 21–22, 25–26 and 27–28) and bilateral ACC (AAL template Nos. 31–32; fig. ).Correlations between rCMglc in each ROI and 6 SI scores were tested by partial correlation analysis controlling for age, gender and education (SPSS, Cary, N.C., USA). The level of statistical significance for ROI-based analyses was set at 2-tailed p < 0.0083 (Bonferroni corrected).Voxel-Based Approach. Correlations between the SI-1 score and rCMglc were additionally examined through VBA. VBA is a technique for assessing regional changes in brain tissue content over the entire brain on a voxel-by-voxel basis without the need for an a priori ROI. VBA was conducted using the ‘Single Subject: Covariates Only’ menu of SPM2, with 3 variables of age, gender and education included as nuisance variables within the AD group []. The resulting set of t values constituted the SPM(t) map. The SPM(t) was then transformed into a normal distribution to give a SPM(z) (FWE-corrected p < 0.05, k > 50) [,]. […]

Pipeline specifications

Software tools AAL, SPSS
Applications Miscellaneous, Magnetic resonance imaging
Organisms Homo sapiens
Diseases Alzheimer Disease
Chemicals Glucose, Fluorodeoxyglucose F18