María Corsi-Cabrera

EEG Bands During Wakefulness, Slow-Wave, and Paradoxical Sleep As a Result of Principal Component Analysis in the Rat

Rat EEG has been empirically divided in bands that frequently do not correspond with EEG generators nor with the functional meaning of EEG rhythms. Power spectra from wakefulness (W), slow-wave sleep (SWS), and paradoxical sleep (PS) of Wistar rats were submitted to Principal Component Analyses (PCA) to investigate which frequencies are covariant. Three independent eigenvectors were identified for SWS: a band between 1-6, an intermediate band between 7-15, and a fast band between 16-32 Hz (90.74% of the variance); two independent eigenvectors were extracted for PS: slow frequencies between 1-6 covarying together with frequencies between 11-16 Hz, and activity between 6-10 covarying together with fast frequencies between 17-32 Hz (80.38% of the variance); four eigen-vectors were obtained for W: 3-7, 8-9, 10-21 and 21-32 Hz (81.47% of the variance). Vigilance states showed significant differences in AP from 1 to 22 Hz. PCA extracted broad bands different for each vigilance state, which included the most representative EEG activities characteristic of them. These results indicate that during SWS, slow oscillations include frequencies up to 6 Hz, and spindle oscillations frequencies down to 7 Hz. No alpha frequencies were identified as an independent band. Frequencies within theta and beta were gathered in the same eigenvector during PS and in different eigenvectors during W suggesting coordinated activation of hippocampal and cortical systems during PS. These bands are consistent with the underlying neurophysiological mechanisms of sleep and wakefulness and with firing frequencies of generators of rhythmic activity obtained in cellular studies in animals.

Enhanced emotional reactivity after selective REM sleep deprivation in humans: an fMRI study

Converging evidence from animal and human studies suggest that rapid eye movement (REM) sleep modulates emotional processing. The aim of the present study was to explore the effects of selective REM sleep deprivation (REM-D) on emotional responses to threatening visual stimuli and their brain correlates using functional magnetic resonance imaging (fMRI). Twenty healthy subjects were randomly assigned to two groups: selective REM-D, by awakening them at each REM sleep onset, or non-rapid eye movement sleep interruptions (NREM-I) as control for potential non-specific effects of awakenings and lack of sleep. In a within-subject design, a visual emotional reactivity task was performed in the scanner before and 24 h after sleep manipulation. Behaviorally, emotional reactivity was enhanced relative to baseline (BL) in the REM deprived group only. In terms of fMRI signal, there was, as expected, an overall decrease in activity in the NREM-I group when subjects performed the task the second time, particularly in regions involved in emotional processing, such as occipital and temporal areas, as well as in the ventrolateral prefrontal cortex, involved in top-down emotion regulation. In contrast, activity in these areas remained the same level or even increased in the REM-D group, compared to their BL level. Taken together, these results suggest that lack of REM sleep in humans is associated with enhanced emotional reactivity, both at behavioral and neural levels, and thus highlight the specific role of REM sleep in regulating the neural substrates for emotional responsiveness.

EEG oscillations during menstrual cycle.

12 sessions of EEG activity, one every second day, were recorded at F3, F4, C3, C4, P3, P4, O1 and O2 in 9 women with regular menstrual cycles. The following significant oscillations were observed: 1) absolute power was lower during periovulatory period; 2) absolute power of delta theta and alpha 1 was higher during premenstrual period whereas absolute power of alpha 2, beta 1 and beta 2 was higher during menstruation; 3) relative power of low alpha frequencies was lower and that of high frequencies was higher during premenstrual period; 4) interhemispheric correlation between frontals was higher during ovulation and between occipitals was higher during premenstrual phase; 5) no significant power asymmetries were observed. The present findings suggest higher activation of centro-parietal regions during menstruation and lower activation of frontal regions during premenstrual phase.

Correlation between EEG and cognitive abilities: sex differences.

EEG activity was recorded during rest in 9 male and 9 female volunteers, aged 23 and 27, from C3, C4, T3, T4, P3, P4, O1 and O2, referenced to the ipsilateral earlobe. In a separate session verbal, spatial and abstract reasoning subtests of the Differential Aptitude Test were administered. Samples of EEG activity of 20.48 s were analysed and the interhemispheric correlation was obtained. Interhemispheric correlation in the alpha band was significantly higher in women than in men at central, parietal and occipital derivations. Significant correlations were found between D.A.T. scores and interhemispheric correlation, positive for women with abstract and spatial aptitudes in the central cortex, and negative for men with spatial, abstract and verbal scores in most derivations recorded. The opposite sign of men and womens correlations suggests the existence of a different cerebral functional organization, women showing lower hemispheric differentiation than men.

Rapid eye movement sleep dreaming is characterized by uncoupled EEG activity between frontal and perceptual cortical regions

EEG coherent activity is involved in the binding of spatially separated but temporally correlated stimuli into whole events. Cognitive features of rapid eye movement sleep (REM) dreaming resemble frontal lobe dysfunction. Therefore, temporal coupling of EEG activity between frontal and perceptual regions was analyzed from 10 min prior to dream reports (8 adults) from stage-2 and REM sleep. EEG correlation between frontal and perceptual regions decreased and, among perceptual regions increased during REM. The temporal dissociation of EEG activity between executive and perceptual regions supplies an inadequate mechanism for the binding and interpretation of ongoing perceptual activity resulting in dream bizarreness.

GENDER DIFFERENCES IN THE EEG DURING COGNITIVE ACTIVITY

EEG activity of 16 adult volunteers. 8 male and 8 females was monopolarly recorded at P3 and P4 at rest and during solution of three series of tasks: one analytic, one spatial and one mixed demanding both kinds of processing. The following main effects were observed: Men showed significantly higher beta relative power than women, while women showed significantly higher alpha relative power than men during all conditions. Alpha relative power decreased, while theta relative power increased during tasks solution in both sexes. Beta relative power was significantly higher at the left parietal only in men. Interparietal correlation was significantly higher in women than in men during all conditions and bands. For the theta band it increased from baseline values during tasks solution in men, while in women it decreased during the analytic task.

Within-subject reliability and inter-session stability of EEG power and coherent activity in women evaluated monthly over nine months

OBJECTIVE Quantitative EEG parameters during resting conditions are used as baseline in research on cognition and in serial-EEG recordings. Despite its increasing use in cognitive research and the numerous evidences of the existence of sex differences in EEG, EEG stability has been mainly investigated in men. Particularly, studies on stability of coherent activity are scarce. The aim of this study was to investigate within-subject reliability and inter-session stability of resting EEG over a nine-month period in women. METHODS Within-subject reliability and inter-session stability were analyzed for absolute power and inter- and intrahemispheric coherent activity at central and posterior regions, once a month, in resting conditions, with eyes open and closed. RESULTS Within-subject reliability was very high (r>0.89) for all subjects and EEG parameters. Inter-session stability was higher with eyes closed and for interhemispheric coherent activity, and poorer with eyes open especially in the alpha band. CONCLUSIONS Present results indicate high reliability of the pattern of power and coherent activity of each individual woman during rest, and group stability of EEG activity with eyes closed at least over a nine-month period. SIGNIFICANCE These results provide information on EEG stability in women over a long period.

Performance in a test demanding prefrontal functions is favored by early luteal phase progesterone: an electroencephalographic study.

There are some psychological studies showing changes in intellectual efficiency before and during menstruation. Many women report that they experience a feeling of difficulty to initiate activities, confront challenging situations and lack of concentration suggesting transient changes in frontal lobe functions related with gonadal hormone levels. Therefore, performance of a task demanding prefrontal functions, the Wisconsin Card Sorting Test, with simultaneous recording of electroencephalographic (EEG) activity was assessed in 9 healthy women, in a repeated measure study, during ovulation (OVU), early luteal (EL), late luteal (LL) and menstrual (MEN) phases. Spectral power of base line and task EEG, and number of responses to reach successful and unsuccessful outcomes in the task were evaluated. Performance was impaired to a certain degree during the OVU phase and was associated with an attenuated alpha1 power and with an increase of the theta and beta2 power. Performance was better during EL phase, when progesterone level is at its highest, no significant changes were observed from BL to task. Performance was worse during LL phase when hormone levels are at its lowest and was associated with a decrease in beta1 and beta2 power together with a significant attenuation of alpha1 and alpha2 power. During MEN phase performance was also improved and was associated with a significant decrease of alpha1 and alpha2 power and no changes in beta power were observed. These findings show that performance of a task demanding internal attention and planning is modulated by physiological progesterone and estrogen levels during menstrual cycle and is associated with specific EEG profiles.

Astronomical and meteorological parameters and rest-activity rhythm in the Spider monkey Ateles geoffroyi

UNLABELLED All animals including primates show regular variations in their behavioural activities and physiological functions. In numerous species diel, ultradian, infradian, annual and/or lunar rhythms have been established; however, the use of the focal sampling method does not provide information on hour-to-hour nor day-to-day variations. In behavioural field studies dealing with primate activity rhythms and their modulation by environmental variables the possible dual, synchronizing and/or masking effect of these variables is often ignored. In the present study, we analyze the relation between astronomical and meteorological parameters and various parameters of the rest-activity rhythm in Ateles geoffroyi, a species scarcely investigated with respect to biological rhythms. These Ateles were kept under semi-natural conditions, exposed to natural light, temperature and humidity cycles, and sky state. Motor activity was recorded with actiwatch accelerometers during 180 days (5-min intervals), starting from the autumn equinox. RESULTS Ateles is active throughout the day, rests during the night and presents bimodal activity. Activity time, onset and end of activity as well as the times of their two activity peaks were significantly correlated with duration of the solar day and sunrise or sunset time. The behavioural parameters also correlated with ambient temperature. Climate factors and sky-state significantly influenced the duration and times of onset and end of activity. Our findings identified a clear modulation of the rest-activity pattern by astronomical variables serving as Zeitgebers, such as the natural light-dark cycle, and by masking effects of meteorological factors (temperature, weather and cloudiness), as well as of artificial variables introduced by the interaction with man.

POTENCOR: a program to calculate power and correlation spectra of EEG signals.

This work describes a computer program (POTENCOR) that applying the Fast Fourier Transform and Pearson product-moment correlation, can calculate easily, fast and accurately the absolute and relative power as well as the inter- and intrahemispheric correlation between every pair of EEG signals for narrow bands and for broad bands. POTENCOR has three main advantages: (1) it allows calculation of inter- and intrahemispheric correlation spectra, for which to our knowledge, there is no commercial program available; (2) the absolute and relative power values are not affected by the number of points that constitutes the signal segment; and (3) in case of making the analysis by each segment the temporal evolution for each EEG parameter can be graphically represented. The utility and flexibility of this program has been confirmed in many clinical and experimental researches.