Parameter estimates from the final linear regression model for response time (RT) as a function of the neurophysiological signals
| Signal | Stand. β | t | p | 95% CI |
|---|---|---|---|---|
| Age | 0.44 | 5.645 | <0.0005 | [1.48, 3.09] |
| CPP build-up rate | −0.53 | −5.67 | <0.0005 | [−1300.90, −623.08] |
| CPP amplitude | 0.29 | 3.30 | 0.002 | [1.18, 4.79] |
| LHB Latency | 0.26 | 3.35 | 0.001 | [0.10, 0.39] |
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Stand, Standard. Age * RT, age, evidence accumulation (CPP) build-up rate, CPP amplitude, and LHB latency exerted partially independent influences on RT, together accounting for 71.4% of the variation (adjusted R2 value) in RT. The absolute value of standardized β represents the importance of each predictor, independent of the unit of measurement. CI denotes confidence interval for β. Extended Data Table 2-1 shows a comparison of the older and younger adults on each of the eight neural metrics, and Extended Data Table 2-2 contains the full output of the regression model.
