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On-Going Frontal Alpha Rhythms Are Dominant in Passive State and Desynchronize in Active State in Adult Gray Mouse Lemurs.

Infarinato F, Rahman A, Del Percio C, Lamberty Y, Bordet R, Richardson JC, Forloni G, Drinkenburg W, Lopez S, Aujard F, Babiloni C, Pifferi F, IMI project PharmaCog Consorti - PLoS ONE (2015)

Bottom Line: During active state, there was a reduction in alpha power density (8-12 Hz) and an increase of power density at slow frequencies (1-4 Hz).Relative EMG activity was related to EEG power density at 2-4 Hz (positive correlation) and at 8-12 Hz (negative correlation).These EEG markers may be an ideal experimental model for translational basic (motor science) and applied (pharmacological and non-pharmacological interventions) research in Neurophysiology.

View Article: PubMed Central - PubMed

Affiliation: IRCCS San Raffaele Pisana, Rome, Italy.

ABSTRACT
The gray mouse lemur (Microcebus murinus) is considered a useful primate model for translational research. In the framework of IMI PharmaCog project (Grant Agreement n°115009, www.pharmacog.org), we tested the hypothesis that spectral electroencephalographic (EEG) markers of motor and locomotor activity in gray mouse lemurs reflect typical movement-related desynchronization of alpha rhythms (about 8-12 Hz) in humans. To this aim, EEG (bipolar electrodes in frontal cortex) and electromyographic (EMG; bipolar electrodes sutured in neck muscles) data were recorded in 13 male adult (about 3 years) lemurs. Artifact-free EEG segments during active state (gross movements, exploratory movements or locomotor activity) and awake passive state (no sleep) were selected on the basis of instrumental measures of animal behavior, and were used as an input for EEG power density analysis. Results showed a clear peak of EEG power density at alpha range (7-9 Hz) during passive state. During active state, there was a reduction in alpha power density (8-12 Hz) and an increase of power density at slow frequencies (1-4 Hz). Relative EMG activity was related to EEG power density at 2-4 Hz (positive correlation) and at 8-12 Hz (negative correlation). These results suggest for the first time that the primate gray mouse lemurs and humans may share basic neurophysiologic mechanisms of synchronization of frontal alpha rhythms in awake passive state and their desynchronization during motor and locomotor activity. These EEG markers may be an ideal experimental model for translational basic (motor science) and applied (pharmacological and non-pharmacological interventions) research in Neurophysiology.

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Mean values (± SE) of the normalized EEG power density in the active and passive states at the frequency bands of interest.These values refer to the daytime (N = 11) and nighttime (N = 6) periods of interest. Lemurs having an insufficient amount of artefact-free EEG epochs in the passive state for the final analysis were not considered (daytime: L#4 and L#10; nighttime: L#1, L#2, L#3, L#4, L#11, L#12, and L#13). In the figure, the illustrated values refer to the results of two ANOVAs. The first ANOVA showed a statistically significant interaction (F(7,70) = 34.556; p = 0.0001) between the factors Condition (active and passive states; independent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime. The second ANOVA showed a statistically significant interaction (F(7,35) = 16.103; p = 0.00001) between the same factors in the nighttime. Asterisks indicate the statistically significant differences (Duncan’s post hoc test; p<0.05).
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pone.0143719.g003: Mean values (± SE) of the normalized EEG power density in the active and passive states at the frequency bands of interest.These values refer to the daytime (N = 11) and nighttime (N = 6) periods of interest. Lemurs having an insufficient amount of artefact-free EEG epochs in the passive state for the final analysis were not considered (daytime: L#4 and L#10; nighttime: L#1, L#2, L#3, L#4, L#11, L#12, and L#13). In the figure, the illustrated values refer to the results of two ANOVAs. The first ANOVA showed a statistically significant interaction (F(7,70) = 34.556; p = 0.0001) between the factors Condition (active and passive states; independent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime. The second ANOVA showed a statistically significant interaction (F(7,35) = 16.103; p = 0.00001) between the same factors in the nighttime. Asterisks indicate the statistically significant differences (Duncan’s post hoc test; p<0.05).

Mentions: Fig 3 plots the grand average across lemurs of the normalized EEG power density values at frequency bands of interest (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime and nighttime data. These values refer to the main results of two ANOVAs aimed at testing EEG changes as a function of the behavioral states. The results of the first ANOVA showed an interaction between the factors Condition (active, passive; dependent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime data (F(7,70) = 34.556; p = 0.0001). The results of the second ANOVA showed the same interaction in the nighttime data (F(7,35) = 16.103; p = 0.00001). Duncan planned post hoc tests showed that in the daytime data, normalized EEG power density values were lower at 6–8 Hz, 8–10 Hz, and 10–12 Hz in the active compared to the passive behavioral state (p<0.00003). Furthermore, these values were higher at 1–2 and 2–4 Hz in the former compared to the latter state (p<0.00002). In the nighttime data, normalized EEG power density values were lower at 8–10 and 10–12 Hz in the active compared to the passive behavioral state (p<0.02). Furthermore, these values were higher at 1–2 and 2–4 Hz in the former compared to the latter state (p<0.00008).


On-Going Frontal Alpha Rhythms Are Dominant in Passive State and Desynchronize in Active State in Adult Gray Mouse Lemurs.

Infarinato F, Rahman A, Del Percio C, Lamberty Y, Bordet R, Richardson JC, Forloni G, Drinkenburg W, Lopez S, Aujard F, Babiloni C, Pifferi F, IMI project PharmaCog Consorti - PLoS ONE (2015)

Mean values (± SE) of the normalized EEG power density in the active and passive states at the frequency bands of interest.These values refer to the daytime (N = 11) and nighttime (N = 6) periods of interest. Lemurs having an insufficient amount of artefact-free EEG epochs in the passive state for the final analysis were not considered (daytime: L#4 and L#10; nighttime: L#1, L#2, L#3, L#4, L#11, L#12, and L#13). In the figure, the illustrated values refer to the results of two ANOVAs. The first ANOVA showed a statistically significant interaction (F(7,70) = 34.556; p = 0.0001) between the factors Condition (active and passive states; independent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime. The second ANOVA showed a statistically significant interaction (F(7,35) = 16.103; p = 0.00001) between the same factors in the nighttime. Asterisks indicate the statistically significant differences (Duncan’s post hoc test; p<0.05).
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Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4664384&req=5

pone.0143719.g003: Mean values (± SE) of the normalized EEG power density in the active and passive states at the frequency bands of interest.These values refer to the daytime (N = 11) and nighttime (N = 6) periods of interest. Lemurs having an insufficient amount of artefact-free EEG epochs in the passive state for the final analysis were not considered (daytime: L#4 and L#10; nighttime: L#1, L#2, L#3, L#4, L#11, L#12, and L#13). In the figure, the illustrated values refer to the results of two ANOVAs. The first ANOVA showed a statistically significant interaction (F(7,70) = 34.556; p = 0.0001) between the factors Condition (active and passive states; independent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime. The second ANOVA showed a statistically significant interaction (F(7,35) = 16.103; p = 0.00001) between the same factors in the nighttime. Asterisks indicate the statistically significant differences (Duncan’s post hoc test; p<0.05).
Mentions: Fig 3 plots the grand average across lemurs of the normalized EEG power density values at frequency bands of interest (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime and nighttime data. These values refer to the main results of two ANOVAs aimed at testing EEG changes as a function of the behavioral states. The results of the first ANOVA showed an interaction between the factors Condition (active, passive; dependent variable) and Band (1–2 Hz, 2–4 Hz, 4–6 Hz, 6–8 Hz, 8–10 Hz, 10–12 Hz, 12–20 Hz, and 20–30 Hz) in the daytime data (F(7,70) = 34.556; p = 0.0001). The results of the second ANOVA showed the same interaction in the nighttime data (F(7,35) = 16.103; p = 0.00001). Duncan planned post hoc tests showed that in the daytime data, normalized EEG power density values were lower at 6–8 Hz, 8–10 Hz, and 10–12 Hz in the active compared to the passive behavioral state (p<0.00003). Furthermore, these values were higher at 1–2 and 2–4 Hz in the former compared to the latter state (p<0.00002). In the nighttime data, normalized EEG power density values were lower at 8–10 and 10–12 Hz in the active compared to the passive behavioral state (p<0.02). Furthermore, these values were higher at 1–2 and 2–4 Hz in the former compared to the latter state (p<0.00008).

Bottom Line: During active state, there was a reduction in alpha power density (8-12 Hz) and an increase of power density at slow frequencies (1-4 Hz).Relative EMG activity was related to EEG power density at 2-4 Hz (positive correlation) and at 8-12 Hz (negative correlation).These EEG markers may be an ideal experimental model for translational basic (motor science) and applied (pharmacological and non-pharmacological interventions) research in Neurophysiology.

View Article: PubMed Central - PubMed

Affiliation: IRCCS San Raffaele Pisana, Rome, Italy.

ABSTRACT
The gray mouse lemur (Microcebus murinus) is considered a useful primate model for translational research. In the framework of IMI PharmaCog project (Grant Agreement n°115009, www.pharmacog.org), we tested the hypothesis that spectral electroencephalographic (EEG) markers of motor and locomotor activity in gray mouse lemurs reflect typical movement-related desynchronization of alpha rhythms (about 8-12 Hz) in humans. To this aim, EEG (bipolar electrodes in frontal cortex) and electromyographic (EMG; bipolar electrodes sutured in neck muscles) data were recorded in 13 male adult (about 3 years) lemurs. Artifact-free EEG segments during active state (gross movements, exploratory movements or locomotor activity) and awake passive state (no sleep) were selected on the basis of instrumental measures of animal behavior, and were used as an input for EEG power density analysis. Results showed a clear peak of EEG power density at alpha range (7-9 Hz) during passive state. During active state, there was a reduction in alpha power density (8-12 Hz) and an increase of power density at slow frequencies (1-4 Hz). Relative EMG activity was related to EEG power density at 2-4 Hz (positive correlation) and at 8-12 Hz (negative correlation). These results suggest for the first time that the primate gray mouse lemurs and humans may share basic neurophysiologic mechanisms of synchronization of frontal alpha rhythms in awake passive state and their desynchronization during motor and locomotor activity. These EEG markers may be an ideal experimental model for translational basic (motor science) and applied (pharmacological and non-pharmacological interventions) research in Neurophysiology.

Show MeSH
Related in: MedlinePlus