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![<bold>Figure 3.</bold>](/view/journals/anpr/66/2/inline-i0003-3006-66-2-87-f03.png)
Statistical analysis of vertical nerve distribution density. All graphs are shown in mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference on chi-square test.
![<bold>Figure 4.</bold>](/view/journals/anpr/66/2/inline-i0003-3006-66-2-87-f04.png)
Statistical analysis of horizontal nerve distribution density. All graphs are shown as mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference by chi-square test.
![<bold>Figure 1.</bold>](/view/journals/anpr/66/2/inline-i0003-3006-66-2-87-f01.png)
The region was divided vertically into 5 sections (A, B, C, D, and E). In addition, the C region was divided horizontally into equal thirds (CL, CC, and CP). Nerve distribution density was measured in each region, and the number of nerves per bone area was expressed as number of nerve fibers per mm2.
![<bold>Figure 2.</bold>](/view/journals/anpr/66/2/inline-i0003-3006-66-2-87-f02.png)
Protein gene product (PGP)- and calcitonin gene-related peptide (CGRP)-positive nerve to measure the nerve distribution. The bone area in each region was measured, and the number of nerves in each bone area was measured using AxioVision image analysis software. Red arrows indicate nerves. The scale bar shows 50 μm.