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In contrast we identified a negative correlation between DAT and BOLD signals in ventral ACG (BAs 24/32), which is identified by some as being part of the DMN; though it was not a region deactivated by the VA task.
Surprisingly, we identified a negative correlation between estradiol and alpha frequency.
In addition, we identified a negative correlation between estradiol and frequency of the alpha band.
Further analysis identified a negative correlation between chemokine scores and C3 level (r = 0.41, P < 0.001).
Our analysis further identified a negative correlation between the expression of MMP11 and HPSE2 with a correlation coefficient of −0.72 (p < 0.0001, calculated by GraphPad Prism 6).
Recently, Jeschke et al identified a negative correlation between Sialyl Lewis antigens and E-cadherin expression in woman breast cancer and their lymph node metastases [ 23].
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From the compositional analysis data we identify a positive correlation between lignin and structural carbohydrates, and from the reactivity data we identify a negative correlation between both carbohydrate and lignin content and total reactivity.
Importantly, we identified the existence of a negative correlation between VEGF levels and endothelial function, suggesting for the first time that high plasma VEGF levels might reflect endothelial dysfunction in RA.
This is a surprising result since a previous work had identified a positive, rather than a negative, correlation between CBIs and protein length after controlling for mRNA concentrations, suggesting secondary selection on translational accuracy for long genes.
We also find, similar to the extent of interspecific genetic differentiation at neutral loci, a negative correlation between the number of identified FST-outlier loci identified and significant adaptive trait/candidate loci associations, and historical levels of anthropogenic nutrient enrichment within each lake.
We identified a positive correlation between 〈μs′〉 and % collagen and a negative correlation between 〈μs′〉 and age and BMI.
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