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. 2019 Oct 30;39(44):8645–8663. doi: 10.1523/JNEUROSCI.1623-19.2019

Table 5.

Properties of VSD imaging signals to parasubicular stimulationa

PaS Signal size Latency (ms) Decay time (ms) Difference between layers per age group
P9–P11 LII 4357 ± 382 5.0 ± 0.3 127 ± 56 D: ANOVA df = 3, p = 0.395 L: KW 5.20, df = 3, p = 0.004 S: ANOVA df = 3, F = 41, p = 0 0.000
(N = 29) (N = 27) (N = 10)
LIII 2936 ± 282 4.6 ± 0.4 96 ± 31
(N = 29) (N = 27) (N = 10)
**p = 0.000
LV 1661 ± 420 4.6 ± 0.3 110 ± 62
(N = 29) (N = 8) (N = 5)
**p = 0.000
*p = 0.000
LVI 1141 ± 301 8.2 ± 0.9 101 ± 31
(N = 29) (N = 8) (N = 5)
**p = 0.000 **p = 0.000
*p = 0.000 *p = 0.000
#p = 0.002
P12–P14 LII 5036 ± 312 4.1 ± 0.2 82 ± 10, (N = 25) D: KW 8.37, df = 3, p = 0.39 L: ANOVA df = 3, F = 6.03, p = 0.000 S: ANOVA df = 3, F = 8.79, p = 0.000
(N = 32) (N = 32)
LIII 4224 ± 294 3.6 ± 0.3 138 ± 19
(N = 32) (N = 32) (N = 22)
**p = 0.042 **p = 0.020
LV 5500 ± 442 4.2 ± 0.2, 111 ± 10
(N = 32) (N = 32) (N = 26)
*p = 0.001 **p = 0.015
#p = 0.000
LVI 3639 ± 327 5.2 ± 0.2 96 ± 32
(N = 32) (N = 32) (N = 16)
**p = 0.000 **p = 0.007 **p = 0.058
#p = 0.000 *p = 0.000
#p = 0.011
P15–P17 LII 3361 ± 174 3.9 ± 0.3 40 ± 2 D: KW 26.9, df = 3, p = 0.000 L: ANOVA df = 3, F = 4.36, p = 0.006 S: ANOVA df = 3, F = 21.2, p = 0.000
(N = 29) (N = 26) (N = 26)
LIII 3021 ± 164 4.0 ± 0.2 80 ± 7
(N = 29) (N = 26) (N = 26)
**p = 0.000
LV 4593 ± 269 3.6 ± 0.3 64 ± 4
(N = 29) (N = 26) (N = 26)
**p = 0.000 **p = 0.000
*p = 0.000 *p = 0.033
LVI 3061 ± 219 5.1 ± 0.3 63 ± 5
(N = 29) (N = 26) (N = 26)
#p = 0.000 **p = 0.008 **p = 0.001
*p = 0.017
#p = 0.001
P28–P30 LII 1890 ± 199 5.3 ± 0.4 24 ± 4 D: KW 12.8, df = 3, p = 0.005 L: ANOVA df = 3, F = 1.5, p = 0.218 S: ANOVA df = 3, F = 6.3, p = 0.001
(N = 19) (N = 14) (N = 12)
LIII 1609 ± 155, 4.2 ± 0.3, 59 ± 8
(N = 19) (N = 14) (N = 11)
**p = 0.003
LV 2063 ± 201 4.2 ± 0.4 65 ± 9
(N = 19) (N = 14) (N = 10)
*p = 0.004 **p = 0.000
LVI 1467 ± 172 5.0 ± 0.5 52 ± 8
(N = 19) (N = 14) (N = 10)
**p = 0.007 **p = 0.017
#p = 0.000
P59–P61 LII 2459 ± 507 4.1 ± 0.6 34 ± 5 D: KW 10.6, df = 3, p = 0.014 L: ANOVA df = 3, F = 0.6, p = 0.603 S: ANOVA df = 3, F = 3.83, p = 0.024
(N = 8) (N = 8) (N = 8)
LIII 2128 ± 362 4.5 ± 0.8 78 ± 12
(N = 8) (N = 8) (N = 8)
**p = 0.006
LV 2355 ± 395 4.8 ± 1.2 42 ± 8
(N = 8) (N = 8) (N = 5)
LVI 1613 ± 273 5.3 ± 0.4 57 ± 6
(N = 8) (N = 8) (N = 5)
**p = 0.005 **p = 0.030
#p = 0.012

aThe rows of the table represent five different age groups (P9–P11, P12–P14, P15–P17, P28–P30, and P59–P61). The last column presents the results of the statistical test used to assess the differences between layers. Homogeneity was tested with Levene's test. If assumptions for parametric tests were not met, Kruskal–Wallis (KW) followed by Mann–Whitney U tests were performed instead. N indicates the number of VSD responses analyzed. The rows represent average parameters of each layers of all age groups ± SEM. S, Signal size (the integrals of the optical signal curves, which indicate the sum of membrane potential changes); L, latency (measured from the beginning of the stimulus artifact to the start of the fluorescent change response); D, decay time (calculated by fitting a curve from 25 ms up to 400 ms after the last stimulus to the negative slope).

**Significantly different from LII.

*Significantly different from LIII.

#Significantly different from LV.