Table 5.

Pearson's correlation results between the number of redundant multiplets and the number of synergistic multiplets during epileptogenesis

Category A
BehaviorTime pointMSSuMdHPCEC
prprprpr
SleepD-70−0.9490−0.9650−0.950−0.958
D4NANA1−11−11−1
D7NANANANANANANANA
D100.003−0.7070−0.9360−0.9360−1
D251−11−1NANANANA
SniffingD-70−0.5740−0.5830−0.5130−0.539
D40−0.6790−0.7580−0.7180−0.652
D70−0.6280−0.6260−0.6250−0.629
D100−0.7440−0.720−0.740−0.795
D140−0.7420−0.8290−0.7270−0.82
D250.004−0.5980.001−0.650.005−0.5870.001−0.681
RestD-70−0.6670−0.6360−0.5340−0.683
D40−0.6990−0.6980−0.7060−0.722
D70−0.6280−0.6510−0.5030−0.64
D100−0.8210−0.690−0.680−0.671
D140−10−10−10−1
D250.389−0.250.105−0.4520.011−0.6550.461−0.215
Category B
BehaviorTime pointMSSuMdHPCEC
prprprpr
SleepD-70−0.8880−0.8490−0.8560−0.856
D4NANANANANANANANA
D70−10−10−10−1
D100.006−0.6750.215−0.340.025−0.5740.035−0.548
D251−11−11−11−1
SniffingD70−0.6110−0.6010−0.6360−0.625
D40−0.8820−0.8060−0.8530−0.787
D70−0.5730−0.4230−0.6240−0.6
D100−0.6450−0.5330−0.5960−0.555
D140−0.6250−0.6390.006−0.450−0.6
D250.003−0.6350.003−0.6350.009−0.5670.054−0.436
RestD-70−0.6430−0.6280−0.6070−0.511
D40−0.8560−0.7390−0.7410−0.78
D70−0.5530−0.6360−0.5610−0.623
D100−0.8880−0.8190−0.8360−0.841
D14NANANANANANANANA
D250.055−0.5440.045−0.5630.055−0.5440.068−0.52

  • This table shows the results from Pearson's correlation between the number of redundant multiplets and the number of synergistic multiplets at each time point for each behavior, category, and each TL brain region considered in our analysis. p stands for p value, and r stands for correlation coefficient (also stands for the effect size). NA, not applicable. NA values stand for undefined r values, which typically occur when one or both variables (namely, either #RED or #SYN) exhibit zero variance. Specifically, Pearson's correlation coefficient is undefined when at least one of the variables has a constant value, resulting in zero SD. The formula to calculate r involves dividing by the product of SD of #RED (SD1) and of #SYN (SD2); thus when the SD of one of the variables is zero, the denominator of the formula becomes zero, leading to an undefined or NaN result (NA value).