There was a highly significant, negative correlation between fALFF and Andrew's score ( Fig. 4 h; rho = −0.715, p < 0.0001; Spearman correlation test), suggesting that the amplitude of haemodynamic oscillations correlates not only to the overall changes in glial reactivity in each individual, but also to the spatial extent of the glial reactivity, and that the local presence of reactive glia is needed for this vasomotion amplification to occur.
Excerpts
In V1, the effect of eccentricity on BOLD response was highly significant ( F (1,23898) = 37.8; p < 0.0001; Cohen's f 2 = 0.319), indicating a strong relationship.
pseudoplatanus was highly significant ( p < 0.0001).
The effect of the choice of parameter set on the number of backbone hydrogen bonds, the number of native backbone hydrogen bonds, the polar and nonpolar SASA, the radius of gyration, RMSD 100 , and the proportions of α-helix and β-strand was highly significant, with p < 0.0001.
The data indicated highly significant ( p = 0.0001) differences in CAT enzyme activity in response to different Cu-NPs, CHS-NPs, and LG applications.
Quantitative IgG levels showed a highly significant inverse correlation with viral loads (p<0.0001) ( Figure ).
Correlative analyses of S-specific IFN-γ versus CD137 + T-cell levels ( Figure 2 lower left plot) and N-specific IFN-γ versus CD137 + T-cell levels ( Figure 2 lower middle plot) revealed a highly significant association between measurements ( p < 0.0001 for both S- and N-specific responses).
Consequently, the reduction in PPD from T1 to T2 also showed highly significant differences among the groups ( p < 0.0001).
The difference in seroconversion rates between HC and HM was highly significant at both timepoints (Chi-square test, p < 0.0001 after both the first and second dose), confirming a strong association between disease status and impaired humoral response.
This effect was highly significant on statistical analysis ( P < 0.0001).
Line effect The morphometric data on Ca.Th and %PoV indicated that the CC line had a highly significant effect, with p < 0.0001 for both traits (Table 1 ).
The difference between the two groups was highly significant on the 10-s posttest ( p <0.0001, Fig. 3B ).
The difference was highly significant ( p < 0.0001), although PASI scores were often low.
A highly significant correlation (p ≤ 0.0001) was observed between a low M2/M1 score (implying M1-like phenotype) and the “NFκB on” subgroup (Figure 4A ).
In this model, %p‐tau217 was highly significant ( p < 0.0001), and a 3% point (approximately 1 SD in the CL < = 25 group) higher %p‐tau217 was associated with an odds ratio of 5.4 (95% CI: 4.1 to 7.2) for identifying brain amyloidosis.
Linear regression analysis between the percentage of cells with LDH-5 expression obtained with the ab9002 and ab7639 showed a highly significant correlation ( P <0.0001, r =0.92).
Highly significant differences were observed as regards questionnaires scores between Tafluprost and PF Timolol groups and controls ( p < 0.0001).
As shown in Table 4 , the model exhibited highly significant differences ( p < 0.0001), with the lack-of-fit term yielding a p of 0.3237 (>0.05).
All the estimates were highly significant for discriminating Class +1 and Class −1 ( P < .0001) and had similar z scores representing the relative effect size.
Acetic acid exhibited a highly significant distinction (P < 0.0001) in comparison to hydrochloric acid and 4 % NaOH, respectively.
Even after adjusting for systolic blood pressure, diastolic blood pressure, age, and gender, its association remains highly significant ( Figure S1c , odds ratio: 1.082, p < 0.0001).
Following multivariate regression analysis to adjust for age, gender, place of residence, employment and perceived danger, this association remained highly significant; people with REM intrusion were more likely to exhibit near-death experiences than those without (OR 2.85; 95% CI [1.68–4.88]; p = 0.0001).
The relative pixel density for Cyst C was 56.71 (47.58–67.65) in normal controls versus 5.06 (3.83–13.21) in PCNSL, representing a highly significant reduction ( p < 0.0001).
The heterogeneity across studies was substantial and highly significant (I2 = 99%, P < 0.0001), indicating that the observed variability was not due to chance alone.
The P -values for the interaction terms between each of education level and wealth quintile and the time period variable were highly significant ( P <0.0001 in all models for both unadjusted and adjusted estimates).