Ian G. Campbell

Longitudinal trajectories of non-rapid eye movement delta and theta EEG as indicators of adolescent brain maturation

It is now recognized that extensive maturational changes take place in the human brain during adolescence, and that the trajectories of these changes are best studied longitudinally. We report the first longitudinal study of the adolescent decline in non-rapid eye movement (NREM) delta (1–4 Hz) and theta (4–8 Hz) EEG. Delta and theta are the homeostatic frequencies of human sleep. We recorded sleep EEG in 9- and 12-year-old cohorts twice yearly over a 5-year period. Delta power density (PD) was unchanged between age 9 and 11 years and then fell precipitously, decreasing by 66% between age 11 and 16.5 years (P < .000001). The decline in theta PD began significantly earlier than that in delta PD and also was very steep (by 60%) between age 11 and 16.5 years (P < .000001). These data suggest that age 11–16.5 years is a critically important maturational period for the brain processes that underlie homeostatic NREM EEG, a finding not suggested in previous cross-sectional data. We hypothesize that these EEG changes reflect synaptic pruning. Comparing our data with published longitudinal declines in MRI-estimated cortical thickness suggests the theta age curve parallels the earlier maturational thinning in 3-layer cortex, whereas the delta curve tracks the later changes in 5-layer cortex. This comparison also reveals that adolescent declines in NREM delta and theta are substantially larger than decreases in cortical thickness (>60% vs. <20%). The magnitude, interindividual difference, and tight link to age of these EEG changes indicate that they provide excellent noninvasive tools for investigating neurobehavioral correlates of adolescent brain maturation.

Sleep EEG changes during adolescence: an index of a fundamental brain reorganization.

Delta (1-4 Hz) EEG power in non-rapid eye movement (NREM) sleep declines massively during adolescence. This observation stimulated the hypothesis that during adolescence the human brain undergoes an extensive reorganization driven by synaptic elimination. The parallel declines in synaptic density, delta wave amplitude and cortical metabolic rate during adolescence further support this model. These late brain changes probably represent the final ontogenetic manifestation of natures strategy for constructing nervous systems: an initial overproduction of neural elements followed by elimination. Errors in adolescent brain reorganization may cause mental illness; this could explain the typical age of onset of schizophrenia. Longitudinal studies of sleep EEG are enhancing our knowledge of adolescent brain maturation. Our longitudinal study of sleep EEG changes in adolescence showed that delta power, which may reflect frontal cortex maturation, begins its decline between ages 11 and 12 years and falls by 65% by age 17 years. In contrast, NREM theta power begins its decline much earlier. Delta and theta EEG frequencies are important to sleep theory because they behave homeostatically. Surprisingly, these brain changes are unrelated to pubertal maturation but are strongly linked to age. In addition to these (and other) maturational EEG changes, sleep schedules in adolescence change in response to a complex interaction of circadian, social and other influences. Our data demonstrate that the daytime sleepiness that emerges in adolescence is related to the decline in NREM delta as well as to altered sleep schedules. These longitudinal sleep data provide guideposts for studying cognitive and behavioral correlates of adolescent brain reorganization.

The selective group mGlu2/3 receptor agonist LY379268 suppresses REM sleep and fast EEG in the rat

Studies of ionotropic receptors indicate that glutamate (Glu) neurotransmission plays a role in sleep. Here, we show for the first time that metabotropic 2/3 Glu (mGlu2/3) receptors play an active or permissive role in the control of REM sleep. The potent, selective, and systemically active mGlu2/3 receptor agonist LY379268 was administered systemically in doses of 1.0 and 0.25 mg/kg sc. The drug produced a dose-dependent suppression of rapid eye movement (REM) sleep and fast (10-50 Hz) EEG in non-rapid eye movement (NREM) sleep. The 1.0-mg/kg effect on REM sleep was remarkably powerful: REM sleep was totally suppressed in the 6-h postinjection and reduced by 80% in the next 6 h. NREM duration was unchanged during the REM suppression in spite of the strong and unusual depression of EEG power in fast NREM frequencies. These sleep and EEG effects were unaccompanied by motor or behavioral abnormalities. We hypothesize that the REM and the fast EEG suppression were both caused by a depression of brain arousal levels by LY379268. If correct, depressing arousal by reducing excitatory neurotransmission with an mGlu2/3 receptor agonist produces electrophysiological effects that differ drastically from those produced by depressing arousal by enhancing neural inhibition with GABAergic drugs. This different approach to modifying the excitation/inhibition balance in the brain might yield novel therapeutic actions.

EEG Recording and Analysis for Sleep Research

The electroencephalogram (EEG) is the most common tool used in sleep research. This unit describes the methods for recording and analyzing the EEG. Detailed protocols describe recorder calibration, electrode application, EEG recording, and computer EEG analysis with power spectral analysis. Computer digitization of an analog EEG signal is discussed, along with EEG filtering and the parameters of fast Fourier transform (FFT) power spectral analysis. Sample data are provided for a typical nights analysis of EEG during NREM (non‐REM) and REM sleep. Curr. Protoc. Neurosci. 49:10.2.1‐10.2.19.

The Metabotropic Glutamate (mGLU)2/3 Receptor Antagonist LY341495 [2S-2-Amino-2-(1S,2S-2-carboxycyclopropyl-1-yl)-3-(xanth-9-yl)propanoic Acid] Stimulates Waking and Fast Electroencephalogram Power and Blocks the Effects of the mGLU2/3 Receptor Agonist LY379268 [(-)-2-Oxa-4-aminobicyclo[3.1.0]hexane-4,6-dicarboxylate] in Rats

The highly selective metabotropic glutamate (mGlu)2/3 receptor agonist LY379268 [(-)-2-oxa-4-aminobicyclo[3.1.0]hexane-4,6-dicarboxylate] completely suppresses rapid eye movement (REM) sleep and strongly depresses theta (6–10 Hz) and high-frequency (10–60 Hz) power in the waking and nonrapid eye movement (NREM) EEG, effects consistent with depressed brain excitation (arousal). We hypothesized the selective mGlu2/3 receptor antagonist LY341495 [2S-2-amino-2-(1S,2S-2-carboxycyclopropyl-1-yl)-3-(xanth-9-yl)propanoic acid] given alone would 1) increase arousal, producing sleep-wake EEG effects opposite those of LY379268, and 2) block/reverse the effects of LY379268 when the drugs are coadministered. Rats with implanted electrodes were injected with 1, 5, or 10 mg/kg LY341495 at hour 5.5 of the dark period. In the coadministration study the rats received the same dose of LY341495 followed 30 min later by 1 mg/kg LY379268. LY341495 alone increased waking by reducing NREM and REM sleep. LY341495 also depressed low-frequency and stimulated high-frequency EEG power. It produced a sharp spike in theta power in waking but not NREM sleep, a striking state-dependent difference in pharmacological response. These changes indicate that blocking mGlu2/3 receptors increases brain arousal. Moreover, they show that mGlu2/3 receptors actively support arousal even in the absence of heightened glutamate excitation. The coadministration experiment demonstrates that LY341495 is selective in vivo since it dose-dependently attenuates or reverses the sleep-wake EEG effects of the highly selective mGlu2/3 receptor agonist LY379268. The capacity of mGlu2/3 receptor agonists and antagonists to alter the sleep wake balance suggests they could be developed to enhance sleep or sustain arousal. Their opposing actions on theta EEG could test the putative role of these oscillations in memory consolidation.

Ketamine Administration During Waking Increases Delta EEG Intensity in Rat Sleep

ketamine is known to increase the metabolic rate of limbic bain structures. We exploited this action to test a hypothesis of the homeostatic model of delta sleep: that an increase in the waking metabolic rate of plastic neuronal systems would increase delta electro-encephalographic (EEG) intensity in subsequent nonrapid-eye-movement (NREM) sleep. In separate experiments, we gave intraperitoneal injections of ketamine to Sprague-Dawley rats of either 15, 25, or 50 mg/kg (0.055, 0.091, 0.18 mmol/kg) three times, at approximately hourly intervals, during the dark (waking) period; the last dose was given 4 to 5 hours before onset of the light (sleep) period. After ketamine, both NREM duration and delta EEG intensity (amplitude and incidence) increased significantly over control (saline injections) levels. The magnitude of this increase places it among the largest pharmacologically induced stimulations of delta sleep yet observed. The interpretation of this effect is complicated by the fact that ketamine produces widespread metabolic changes throughout the brain and it also acts on several receptor classes. However, since ketamines major action is noncompetitive blockade of the cation channel gated by the N-methyl-D-aspartate receptor, our data join recent observations that suggest that excitatory amino acid receptor systems are involved in sleep regulation.

Internight reliability and benchmark values for computer analyses of non-rapid eye movement (NREM) and REM EEG in normal young adult and elderly subjects

OBJECTIVE To determine the reliability of computer measured non-rapid eye movement (NREM) and REM frequency bands in the 0.3-45 Hz range and to provide benchmark data for these measures in young normal (YN) and elderly normal (EN) subjects (Ss). METHODS Sleep EEG was recorded in 19 YN and 19 EN Ss on 4 non-consecutive baseline nights and simultaneously quantified as fast Fourier transform (FFT) power and 3 zero-cross period-amplitude (PA) measures: integrated amplitude, time in band and average wave amplitude. RESULTS The shapes of both the FFT and PA spectra differed among Ss but were highly consistent within individuals. Inter-night reliability of the separate frequency bands was correspondingly high. Despite substantial age effects, the reliability of computer-measured sleep EEG in the elderly equaled that of the YN Ss. Within both the YN and EN groups, the shapes of the NREM and REM spectral curves differed significantly. The NREM and REM also differed significantly in the two age groups. CONCLUSIONS Computer-measured sleep EEG is highly reliable across non-consecutive nights in both young and elderly normal Ss. The trait-like stability of these measures suggests they are genetically determined. This possibility is supported by twin study data that show strong heritability for FFT-measured waking EEG. The different shapes of NREM and REM spectra add further evidence that these are fundamentally different states of brain organization. The age differences in spectral shape, along with PA data for wave incidence, demonstrate that age effects on sleep EEG are not caused by changes in skull impedance or other non-cerebral factors.

High internight reliability of computer-measured NREM delta, sigma, and beta: biological implications.

BACKGROUND Computer analysis of the sleep electroencephalogram (EEG) waveforms is widely employed, but there have been no systematic studies of its reliability. METHODS The most commonly used computer methods are power spectral analysis with the fast-Fourier transform (FFT) and period amplitude analysis (PAA) with zero cross or zero first derivative half-wave measurement. We applied all three computer methods to the digitized EEG of 16 normal subjects who underwent 5 consecutive nights of baseline (placebo) recording. We evaluated the internight reliability of three non-rapid eye movement (NREM) frequency bands of special importance to sleep research: delta (0.3-3 Hz), sigma (12-15 Hz), and beta (15-23 Hz). RESULTS Both FFT and the two methods of PAA gave excellent internight reliability for delta and sigma. Even a single night of recording correlated highly (r >.9) with the 5-night mean. Beta reliability was lower but still highly significant for both the PAA and the FFT measures. CONCLUSIONS Computer-analyzed sleep EEG data are highly reliable. Period amplitude methods demonstrate that wave incidence and period as well as amplitude are reliable, indicating that the reliability of composite measures (FFT power, PAA integrated amplitude) is not solely based on individual differences in EEG amplitude. The high internight stability of NREM delta indicates that it possesses traitlike characteristics and is relatively independent of day-to-day variations in state.

Sex, puberty, and the timing of sleep EEG measured adolescent brain maturation

The steep adolescent decline in the slow wave (delta, 1–4 Hz) electroencephalogram (EEG) of nonrapid eye movement (NREM) sleep is a dramatic maturational change in brain electrophysiology thought to be driven by cortical synaptic pruning. A perennial question is whether this change in brain electrophysiology is related to sexual maturation. Applying Gompertz growth models to longitudinal data spanning ages 9–18 y, we found that the timing of the delta decline was significantly (P < 0.0001) linked to timing of pubertal maturation. This timing relation remained significant when sex differences in the timing of the delta decline were statistically controlled. Sex differences and the relation to the timing of puberty jointly explained 67% of the between-subject variance in the timing of the delta decline. These data provide a demonstration of a temporal relation between puberty and an electrophysiological marker of adolescent brain development. They can guide research into whether the neuroendocrine events of puberty are mechanistically linked to cortical maturation or whether, instead, the two maturational processes are parallel but independent programs of human ontogenesis.

Longitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation

New longitudinal sleep data spanning ages 6-10 yr are presented and combined with previous data to analyze maturational trajectories of delta and theta EEG across ages 6-18 yr in non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. NREM delta power (DP) increased from age 6 to age 8 yr and then declined. Its highest rate of decline occurred between ages 12 and 16.5 yr. We attribute the delta EEG trajectories to changes in synaptic density. Whatever their neuronal underpinnings, these age curves can guide research into the molecular-genetic mechanisms that underlie adolescent brain development. The DP trajectories in NREM and REM sleep differed strikingly. DP in REM did not initially increase but declined steadily from age 6 to age 16 yr. We hypothesize that the DP decline in REM reflects maturation of the same brain arousal systems that eliminate delta waves in waking EEG. Whereas the DP age curves differed in NREM and REM sleep, theta age curves were similar in both, roughly paralleling the age trajectory of REM DP. The different maturational curves for NREM delta and theta indicate that they serve different brain functions despite having similar within-sleep dynamics and responses to sleep loss. Period-amplitude analysis of NREM and REM delta waveforms revealed that the age trends in DP were driven more by changes in wave amplitude rather than incidence. These data further document the powerful and complex link between sleep and brain maturation. Understanding this relationship would shed light on both brain development and the function of sleep.