. Author manuscript; available in PMC: 2018 May 1.

Published in final edited form as: Int J Psychophysiol. 2017 Mar 12;115:112–124. doi: 10.1016/j.ijpsycho.2017.03.002

Table 4.

Longitudinal genetic and environmental correlations across ages for peak amplitudes of ERP components (based on the trivariate AE models).

Measure	Ages	r_G	r_E	Genetic overlap
No-Go N2, FCZ	12 – 14	0.84^* (0.74 – 0.94)	0.18^* (0.04 – 0.32)	0.71^* (0.55 – 0.88)
	14 – 16	0.88^* (0.73 – 1.00)	0.34^* (0.15 – 0.51)	0.77^* (0.53 – 1.00)
	12 – 16	0.79^* (0.62 – 0.97)	0.16 (−0.04 – 0.34)	0.63^* (0.39 – 0.93)
No-Go P3, FCZ	12 – 14	0.82^* (0.71 – 0.91)	0.29^* (0.14 – 0.42)	0.67^* (0.51 – 0.83)
	14 – 16	0.83^* (0.70 – 0.95)	0.44^* (0.26 – 0.59)	0.69^* (0.49 – 0.89)
	12 – 16	0.85^* (0.68 – 1.00)	0.14 (−0.09 – 0.36)	0.72^* (0.46 – 1.00)
Go P3, PZ	12 – 14	0.93^* (0.84 – 0.99)	0.15 (−0.00 – 0.30)	0.87^* (0.70 – 0.99)
	14 – 16	0.91^* (0.81 – 0.99)	0.46^* (0.28 – 0.61)	0.83^* (0.66 – 0.99)
	12 – 16	0.99^* (0.84 – 1.00)	0.03 (−0.15 – 0.24)	0.98^* (0.72 – 1.00)

Notes: r_G and r_E are genetic and environmental correlations, respectively, between different longitudinal assessments of the same ERP variable;

indicates significant at p<0.05; Genetic overlap is the proportion of genetic variance shared across ages.