REGIONAL CEREBRAL BLOOD-FLOW DURING THE WISCONSIN CARD SORTING TEST IN NORMAL SUBJECTS STUDIED BY XE-133 DYNAMIC SPECT - COMPARISON OF ABSOLUTE VALUES, PERCENT DISTRIBUTION VALUES, AND COVARIANCE ANALYSIS
S. Marenco et al., REGIONAL CEREBRAL BLOOD-FLOW DURING THE WISCONSIN CARD SORTING TEST IN NORMAL SUBJECTS STUDIED BY XE-133 DYNAMIC SPECT - COMPARISON OF ABSOLUTE VALUES, PERCENT DISTRIBUTION VALUES, AND COVARIANCE ANALYSIS, PSYCHIATRY RESEARCH-NEUROIMAGING, 50(3), 1993, pp. 177-192
We studied regional cerebral blood flow (rCBF) by xenon-133 dynamic si
ngle photon emission computed tomography (SPECT) in 17 normal voluntee
rs who were performing the Wisconsin Card Sorting Test (WCST), a task
that is particularly sensitive to disturbance of the prefrontal cortex
, and a simple matching-to-sample task (BAR) as a sensorimotor control
. Three methods for statistical analysis of regional ''subtraction'' d
ata were used: absolute rCBF values, percent distribution values, and
means adjusted for global CBF changes (covariance analysis). The absol
ute values had high variance, due to the combination of interindividua
l differences in global flow and intra-individual variation, and showe
d no statistically significant regional changes. This variation was gr
eatly reduced by percent values and covariance analysis, which had qui
te similar outcomes. With both methods, significant increases of rCBF
during the WCST as compared with the BAR were seen-in the right anteri
or dorsolateral prefrontal and left occipital cortices, and reduction
of rCBF in the left pararolandic region. Moreover, significant correla
tions with performance were found in the medial regions of the frontal
lobes, with opposite trends for the right and left hemisphere. The po
sterior dorsolateral prefrontal region showed a negative correlation w
ith sensory-motor frequency, an index related to the task's difficulty
. These results are consistent with previous findings using other rCBF
techniques and confirm the statistical advantage of normalization and
covariance methods, which yield practically identical results, at lea
st in this analysis based on regions of interest.