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Specifically, functional neuroimaging studies observe increased striatum activation during successful versus unsuccessful stopping [7], [8], [9], [10], [11], when comparing short to long stop-signal reaction times [12], and with a parametric increase in stop-signal probability [7], [13].
In the case of the AR(4) model, the parametric increase in the model coefficients b1,2,3,4 and c1,2,3,4 in Eq. (1) resulted in increased bidirectional interaction, as measured by increase in feed-forward and feed-back causal influences, leading to decrease in the magnitude of phase-lag to near-zero values (Table 2).
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Furthermore, while parametric increases of working-memory demands occur in areas of the working-memory network [41], the reallocation of cognitive resources occurs in many other, distinct brain areas including the DMN network.
We performed whole-brain analyses to identify brain regions exhibiting parametric increases or decreases in BOLD signals while specifically tracking changes in the intradimensional difference and the unidimensional difference.
Parametric increases in theta power with memory load have been detected in MEG (Jensen and Tesche 2002) and EEG (Onton et al. 2005), whereas another EEG study reported an increase in the alpha range (Jensen et al. 2002).
Parametric tests increase study efficiency, as such tests are more powerful and outcomes are expressed in score changes rather than response/relapse rates; therefore decreasing sample size requirements.
The granularity of the parametric search increases with the quantization resolution, and the result is asymptotically optimal for infinitely small granularity.
Theorigin remains stable, and the two newly created pairs of fixed points then exist forparametric pumping above threshold ( κ ′ > 1 )until pumping reaches the even higher value κ ′ = 1 + Δ ′ 2.Between these two values (the striped blue region in Figure 3) with increasing parametric pumping, the stable pair increases inseparation and the unstable pair moves to the origin.
Why then has the use of non-parametric tests increased?
A fitted curve ("supercurve") was plotted with the signal intensities on the Y-axis and the relative log2 concentration of each protein on the X-axis using the non-parametric, monotone increasing B-spline model [ 18].
The parametric contrast indicated increasing activation with increasing difficulty in left superior/medial frontal gyrus, inferior frontal gyrus and cerebellum.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com