Linear regression between RT and DLF measurements.

In order to assess the relationship between RT and DLF performance, a linear regression adjustment was performed on each subject. Before auditory rehabilitation, the linear regression model did not fit accurately for any of our subjects (subject F.P.: F(1,5)=1.672, p=0.253; subject D.P.: F(1,5)=0.098, p=0.767; subject Y.M. : F(1,5)=1.104, p=0.341; subject A.D.: F(1,5)=0.066, p=0.808; subject C.V.: F(1,5)=2.515, p=0.174). However, three months after HA fitting, the linear relationship between RT and DLF performance improved in four subjects ( significantly in two subjects and as a tendency in one ) ; one other remained stable (subject F.P.: F(1,5)=1.437, p=0.284; subject D.P.: F(1,5)=8.756, p=0.032; subject Y.M.: F(1,5)=3.05, p=0.141; subject A.D.: F(1,5)=6.447, p=0.052; subject C.V.: F(1,5)=11.926, p=0.018). Figure 5 shows the change in linear adjustment in subject D.P.. In the control subject S.G., there was no linear relationship on the first test (F(1,5)=0.118, p=0.745) and no real improvement 3 months later (F(1,5)=0.389), p=0.560).

Figure 5: Linear adjustment between the logarithm of DLF values and reaction time in subject D.P..
Figure 5: Linear adjustment between the logarithm of DLF values and reaction time in subject D.P..

Left, linear adjustment before HA fitting. Right, linear adjustment at three months post-rehabilitation. R2 is the square of the correlation coefficient.