Objectives: We have recently shown that a stable, frequency-specific (8.0–15.5 Hz) pattern of EEG topography along the A/P cortical axis during NREM sleep distinguishes each individual like a !fingerprint". The high within-subject stability of spindle activity in NREM supported the view of a genetic control of sleep-related oscillations also in humans. Here we report preliminary findings from a larger genetic study on sleep and response to sleep deprivation in twins. In the present study, we compared the sleep EEG topography of dizygotic (DZ) and monozygotic (MZ) twins in a frequency range including sigma activity, to assess the influence of genetic factors. Methods: Ten pairs of DZ and ten pairs of MZ twins have been recorded. Here we show preliminary data from the baseline sleep of 16 subjects, 8 DZ and 8 MZ. EEG power from three derivations (Fz-A1, Cz-A1, Pz-A1) during NREM sleep were computed by a FFT routine in the 8.0–15.5 Hz range with a 0.25-Hz resolution. For each derivation and for each twins pair, the intraclass correlation (ICC) between the mean power of each bin was computed, and then compared by one-way ANOVAs, separately for each derivation. Results: Mean ICCs were higher inMZthan in DZ twins. In particular, in the frontal site MZ showed a mean ICC of 0.95, while DZ’s ICC was 0.48; ANOVA showed that the difference between ICCs is significant (F = 15.17; P = 0.008). Similarly, the MZ’s ICC was 0.92 in the central derivation, the DZ’s ICC was 0.27; again, the difference between the ICCs is significant (F = 7.78; P = 0.03). Finally, MZ showed a mean ICC of 0.95 in the parietal derivation, while DZ’s ICC was 0.28; also this difference is significant (F = 8.79; P = 0.02). Conclusions: The similarity of the topographic distribution of EEG power in the 8.0–15.5 Hz range in NREM is significantly higher in MZ than in DZ twins. The maximal difference between MZ and DZ was found on Fz. It is concluded that the NREM sleep EEG fingerprint (i.e., the quantitative features of sleep EEG in the frequency range including sigma activity) has a significant genetic contribution.
Heritability of the sleep EEG fingerprint: a study in twins / DE GENNARO, Luigi; Curcio, G; Fratello, Fabiana; Marzano, Cristina; Moroni, Fabio; Pellicciari, M. C.; Costa, S; Ferrara, M.. - In: JOURNAL OF SLEEP RESEARCH. - ISSN 0962-1105. - 15 (Suppl. 1):(2006), pp. 242-242. (Intervento presentato al convegno ESRS 23rd Congress tenutosi a Innsbruck nel September).
Heritability of the sleep EEG fingerprint: a study in twins.
DE GENNARO, Luigi;FRATELLO, FABIANA;MARZANO, CRISTINA;MORONI, FABIO;
2006
Abstract
Objectives: We have recently shown that a stable, frequency-specific (8.0–15.5 Hz) pattern of EEG topography along the A/P cortical axis during NREM sleep distinguishes each individual like a !fingerprint". The high within-subject stability of spindle activity in NREM supported the view of a genetic control of sleep-related oscillations also in humans. Here we report preliminary findings from a larger genetic study on sleep and response to sleep deprivation in twins. In the present study, we compared the sleep EEG topography of dizygotic (DZ) and monozygotic (MZ) twins in a frequency range including sigma activity, to assess the influence of genetic factors. Methods: Ten pairs of DZ and ten pairs of MZ twins have been recorded. Here we show preliminary data from the baseline sleep of 16 subjects, 8 DZ and 8 MZ. EEG power from three derivations (Fz-A1, Cz-A1, Pz-A1) during NREM sleep were computed by a FFT routine in the 8.0–15.5 Hz range with a 0.25-Hz resolution. For each derivation and for each twins pair, the intraclass correlation (ICC) between the mean power of each bin was computed, and then compared by one-way ANOVAs, separately for each derivation. Results: Mean ICCs were higher inMZthan in DZ twins. In particular, in the frontal site MZ showed a mean ICC of 0.95, while DZ’s ICC was 0.48; ANOVA showed that the difference between ICCs is significant (F = 15.17; P = 0.008). Similarly, the MZ’s ICC was 0.92 in the central derivation, the DZ’s ICC was 0.27; again, the difference between the ICCs is significant (F = 7.78; P = 0.03). Finally, MZ showed a mean ICC of 0.95 in the parietal derivation, while DZ’s ICC was 0.28; also this difference is significant (F = 8.79; P = 0.02). Conclusions: The similarity of the topographic distribution of EEG power in the 8.0–15.5 Hz range in NREM is significantly higher in MZ than in DZ twins. The maximal difference between MZ and DZ was found on Fz. It is concluded that the NREM sleep EEG fingerprint (i.e., the quantitative features of sleep EEG in the frequency range including sigma activity) has a significant genetic contribution.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
