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Table 3 Statistical analysis of entire figures

From: Photobiomodulation improves the synapses and cognitive function and ameliorates epileptic seizure by inhibiting downregulation of Nlgn3

Figure no.

Condition

Gaussian distribution

Column analyses

ANOVA value

ANOVA

P value

P value

Figure 2B

 

SW

ANOVA

F = 11.21

P < 0.0001

**p = 0.0052

***p = 0.0001

Figure 2C

 

AP

ANOVA

F = 22.92

P < 0.0001

****p < 0.0001

***p = 0.0001

Figure 2D

  

KW

KW = 53.74

P < 0.0001

****p < 0.0001

***p = 0.0009

Figure 2E

  

KW

KW = 45.29

P < 0.0001

****p < 0.0001

Figure 2F

  

KW

KW = 28.1

P < 0.0001

***p = 0.0004

*p = 0.0129

Figure 2G

  

KW

KW = 72.75

P < 0.0001

****p < 0.0001

Figure 2H

  

KW

KW = 46.67

P < 0.0001

***p = 0.0005

****p < 0.0001

Figure 2I

 

SW

ANOVA

F = 29.84

P < 0.0001

**p = 0.0095

*p = 0.0186

****p < 0.0001

Figure 3B

  

2way ANOVA

Row F = 32.41

Column F = 7.594

P < 0.0001

P = 0.0218

*p = 0.0261

Figure 4B

  

KW

KW = 29.81

P < 0.0001

****p < 0.0001

Figure 4C

 

SW

ANOVA

F = 22.54

P < 0.0001

****p < 0.0001

Figure 4D

 

AP

ANOVA

F = 31.49

P < 0.0001

****p < 0.0001

***p = 0.0009

Figure 5B

D + 3

AP

Unpaired t-test

  

***p = 0.0001

D + 7

****p < 0.0001

Figure 5C

D + 3

KS

Unpaired t-test

  

****p < 0.0001

D + 7

AP

****p < 0.0001

Figure 5D

D + 3

 

MW

MWU = 1

 

****p < 0.0001

D + 7

MWU = 60

****p < 0.0001

Figure 6B

CA1

SW

ANOVA

F = 27.19

P < 0.0001

***p = 0.0004

####p < 0.0001

CA3

F = 23.19

P < 0.0001

***p = 0.0008

###p = 0.0001

Hilus

F = 22.79

P < 0.0001

***p = 0.0004

###p = 0.0003

Figure 6C

CA1

SW

ANOVA

F = 4.547

P = 0.0339

#p = 0.0467

CA3

F = 9.805

P = 0.003

*p = 0.025

##p = 0.0042

Hilus

F = 34.49

P < 0.0001

***p = 0.0002

####p < 0.0001

Figure 6D

GFAP

 

MW

MWU = 0

 

***p = 0.0006

Iba1

SW

Unpaired t-test

  

****p < 0.0001

Figure 6E

 

AP

Unpaired t-test

  

****p < 0.0001

Figure 6F

 

AP

Unpaired t-test

  

**p = 0.0014

Figure 7C

 

SW

ANOVA

F = 114.6

P < 0.0001

****p < 0.0001

***p = 0.0004

Figure 7E

 

AP

ANOVA

F = 6.893

P = 0.0008

**p = 0.0012

*p = 0.0288

Figure 7G

 

AP

ANOVA

F = 14.42

P < 0.0001

*p = 0.0195

****p < 0.0001

Figure 7H

 

AP

ANOVA

F = 10.44

P < 0.0001

**p = 0.0039

****p < 0.0001

Figure 7J

 

SW

ANOVA

F = 8.665

P = 0.0012

**p = 0.0015

*p = 0.0235

Figure 8B

 

AP

ANOVA

F = 11.9

P < 0.0001

*p = 0.0398

**p = 0.0054

##p = 0.0018

***p = 0.0001

Figure 8C

 

SW

ANOVA

F = 7.006

P < 0.0001

*p = 0.0111

*p = 0.0401

**p = 0.0094

Figure 8D

 

SW

ANOVA

F = 8.197

P < 0.0001

**p = 0.0015

*p = 0.013

##p = 0.0093

Figure 8F

 

SW

ANOVA

F = 14.2

P < 0.0001

**p = 0.002

****p < 0.0001

Figure 9B

PI

 

KW

 

P < 0.0001

**p = 0.0064

***p = 0.0001

****p < 0.0001

PI + tPBM

#p = 0.0287

##p = 0.0047

###p = 0.0002

####p < 0.0001

Figure 9C

  

MW

U = 137

 

**p = 0.0015

Figure 9D

  

Chi-Square

X2 = 3.0647

 

*p = 0.08

Figure 9F

 

AP

ANOVA

F = 24.04

P < 0.0001

****p < 0.0001

**p = 0.0053

Figure 9G

 

AP

ANOVA

F = 21.84

P < 0.0001

****p < 0.0001

*p = 0.035

Figure 9H

  

KW

 

P = 0.0003

***p = 0.0005

*p = 0.014

Figure 9J

 

KS

ANOVA

F = 7.975

P = 0.004

**p = 0.0032

Figure 9L

 

AP

ANOVA

F = 13.43

P = 0.0004

***p = 0.0004

*p = 0.012

  1. AP D'Agostino & Pearson, SW Shapiro–Wilk, KS Kolmogorov–Smirnov, ANOVA one-way analysis of variance with Bonferroni post-hoc test, KW Kruskal–Wallis one-way analysis of variance with Dunn’s post-hoc test, MW two-tailed Mann–Whitney U test
  2. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, #p < 0.05, ##p < 0.01, ###p < 0.001, ####p < 0.0001 relative to KA or PI