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Abstract of disseration

A state bearing strong similarities to Rapid Eye Movement (REM), often described as active or indeterminate sleep, is dominant during the perinatal period in all mammals. It is characterized by episodes of high variability, bursting and intermittent activity in the brainstem and by spontaneous phasic behavioral events such as REMs, periods of loss of cervical muscle tone (nuchal atonia) and myoclonic twitching1. This REM-like state is the principal behavioral state during fetal and neonatal life and is apparently indispensable; REM deprivation during this period can lead to long lasting behavioral defects in adult life2. Spontaneous prenatal behaviors including twitching and other REM associated phasic phenomena are often treated as the independent random events of a Poisson distribution with the assumption that correlations between events decay exponentially in time as in a Markoff process. The central focus of this doctoral research is the ontology of the temporal structure of spontaneous sequences of nuchal atonia associated with REM or active sleep in late gestation fetal sheep (E121-133) to determine if these processes are independent random events described by Poisson distributions. The nature of the variability of these spontaneous REM processes was investigated by measuring the durations of nuchal atonia over extended periods in fetal sheep and neonatal rats, species which are in a REM sleep-like state > 50% of the time. The temporal coherence of episodes of nuchal atonia with other markers of REM sleep such as eye movements and electrocorticogram and breathing pattern changes is consistent with their use as a marker of this sleep state. In addition, nuchal atonia episode numbers and durations recorded in this study demonstrated the expected developmental changes reported for other REM sleep markers.

Correlations hidden within natural time series with short- and long-term fluctuations (e.g., annual patterns of riverflow, rainfall, tree rings, etc.) can be uncovered and comparsions made among diverse phenomena using Hurst's Rescaled Range Analysis (Range normalized by S.D. or R/S).3 Many natural processes with short- and long-term fluctuations are best described as fractals in time4. The word fractal refers to patterns in space or time, such as the cluster within cluster appearance of nuchal atonia, which contain detail recursively nested like the layers of an onion. Fractal patterns are impossible to measure accurately with one set scale due to the emergence of greater detail at finer magnifications; this necessitates the collection of multiple measurements over a range of scales. Hurst's analysis examines how the R/S for the entire time series is related to the R/S for a number of smaller time windows. A log-log plot of the average R/S for non-overlapping windows of 4, 8, 16....2048 points vs the size of the windows yields a line with a slope (H) that ranges from 0 to 1. Time series of independent random statistical processes have H = 0.5 indicating no correlations. Time series with positive correlations result in H > 0.5, indicating the existence of long-run correlations (i.e.,fractals in time). These processes have long clusters of events in time that are more likely to be followed by long clusters of events, than short clusters, in a pattern termed "persistence"4.


To determine if time series of nuchal atonia durations had non-random fluctuations, episodes of NA were estimated from nuchal EMG sampled in utero at 1Hz from fetal sheep (five subjects). Analysis of 70 24hr records containing at least 2048 NA episodes yielded a mean H = 0.70 that did not change significantly over days 121 to 133 of gestation. H values derived from 5 min segments of the nuchal EMG of neonatal rats P2 to P10 (collected for 2hr @ 300 Hz) ranged from 0.65 to 0.87 and were very similar to H values reported for fetal sheep. These results suggest the first major finding of this work: spontaneous periods of nuchal atonia, and via inference, REM-like sleep have similar temporal structure across two distinct mammalian groups. This was also supported by the common probability densities of these two species.


Another property of fractals in time is the non-convergence of statistical moments of a time series. A special space of "convolutionally stable" distributions, called Lévy space, can express the relationship between time series with a non-convergent mean and variance and the more well known normal or Gaussian distribution5. A distrubution within this Lèvy space is typically represented as a complex valued, exponential distribution function with four parameters indicating, respectively, location, symmetry, global scale, and rate of convergence of the tail. Disregarding the location and symmetry and letting , the Lèvy distribution can be represented more simply as in which controls the relative size and the rate of convergence of the tail of across the range of values of t. In a Gaussian process with finite variance, ; if , the variance is nonconvergent but the mean, , can be computed; is the well known Cauchy distribution. If , the process is without a finite mean and will require the use of the median of interquartile indicators to locate the center of the distribution. Gaussian distributions are thus special stable Lévy distributions, with characteristic exponents ; = 2 which by the Central Limit Theorem converge to a finite mean and variance with sufficent sample size. The most remarkable feature of stable Lévy distributions in the range is that the longer the period of observation, the greater the value for an outlier that might be observed. This signature, common to many fractal time processes, is the antithesis of the Central Limit Theorem governing normal stable Gaussian processes; that is, as more data points are accumulated, the variance and, in some cases, the mean, are divergent. The probability distributions of spontaneous nuchal atonia events in both species were found to be well described by convolutionally stable Lévy distributions, suggesting deviations from Central Limit Theorem assumptions and non-convergent 2nd moments, ruling out a Poisson process. In fact, ; was 1.822 and 1.830, respectively, for 121-3 and 131-3 day fetal sheep and 1.875 and 1.882, respectively for 2-day and 10-day-old rats, with nearly identical 's. This finding is striking in that it implies that phasic REM processes are not Poisson processes, and supports the finds of Edward Evarts almost 30 years ago who observed spontaneous discharges of single pyramidal track neurons during REM sleep in adult monkeys differed from a Poisson distribution because of an excess of short and long interspike intervals (Evarts, 1967)6.


To summarize thus far, the following properties of nuchal atonia episodes in both species were inconsistent with a Poisson process: 1) mean and variance; 2) H equals 0.5; 3) probabilities were in the family of non-finite moment Lèvy stable distributions with a characteristic (tail) exponent of ; < 2.0 ( ; alpha equals1.8). One way to ascertain the functional significance of these observations is to observe how manipulations of experimental conditions might perturb the values of these measures.


One confound of measuring nuchal atonia in 2 to 10-day-old rats is introducing the variable of maternal deprivation into the experimental design. Neonatal rats were subjected to 2 hours of maternal deprivation as a result of the measurement procedure. This augmented the mean length of inactivity associated with a nuchal atonia event and decreased the number of episodes observed, with a concomitant increase in the Hurst exponent H equals 0.75 to 0.86 and a decrease in the Lévy exponent from ; alpha equals 1.8 to 1.6 indicating that behavior became more clustered in time. This represents the second major finding of this work: maternal deprivation results in alterations of the Hurst exponent and the Lévy exponents, shifting distributions from their normal species invariant values. In the remaining portion of this abstract I will discuss many of the implications of these two major findings in terms of the insights they provide in understanding the developmental origins and function of REM sleep

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In 1963 Guiseppi Morruzzi7 first functionally divided REM sleep events in adult cats into brief phasic (e.g., rapid eye movements, PGO spikes, pyramidal tract discharges) and longer tonic events (desynchronization of the cortical EEG, nuchal atonia, depression of spinal reflexes). In fetal sheep nuchal atonia is characterized by clusters of bursts similar to adult phasic events. Based on this observation, I propose that these fractal sequences of clusters of nuchal atonia coalesce developmentally into the tonic periods of atonia observed in adult REM sleep and that failure to coalesce may underlie developmental disorders such as autism. Tanguay et al8. found that eye movements (EM) in normal children do not become clustered into bursts until 40 weeks gestational age. As total REM decreases during development, the number of EM's remain a constant resulting in an increase in the mean number of EMs/sec of REM. However, autistic children show substantially less clustering of EMs. In fact, no significant differences between burst structure in 2-5 year old autistics and younger (<18 month) normal children could be found by Tanguay et al. This lack of clustering may be explained by the developmental failure to coalesce where as the effects of maternal deprivation result in abnormal coalescence, both effects that could be detected by examining shifing Hurst and Lévy exponents.


A more general hypothesis that emerges from these observations is that the variability of REM-associated nuchal atonia episodes and of other spontaneous motor events reflects the fractal time signature of a global fetal REM sleep state that may serve as a transient behavioral ontogenetic adaptation to changing developmental environments. Ontogentic adaptations are age specfic behavioral patterns (e.g. Suckling, imprinting) that emerged during evolution to solve the environmental demands resulting from morphological and physiological immaturity9. In addition, the fractal time structure of spontanous activity at different levels of organization, including phasic REM motor activity during ontogeny, could play a fundamental role in the development of appetitive behavioral processes (e.g., searching and orienting) and other forms of neuroplasticity (e.g., learning and dynamic regulation of receptor fields and maps). For example, spontaneous nuchal events in both species were also found to be described by convolutionally stable self-similar Lévy distributions, suggesting that other phasic activity associated with fetal REM sleep could provide a stable, scale invariant source of correlated stimulation, facilitating integration of new neural changes into developing motor and cortical networks over gestation.
This fractal time description of spontaneous prenatal behaviors also has implications for conceptualizing the evolutionary mechanisms underlying heterochrony (shifting self-affine relationships between the timing of gene expression and behavioral activity) and the plasticity essential to the genesis of behavioral neophenotypes. The term "behavioral neophenotypes" was coined by Zing-Yang Kuo to refer to striking deviations from normality that can result from alterations of normal developmental experience10. The effects of these early alterations could result, as Gillbert Gottlieb has proposed, in enhanced brain size, learning ability, exploratory behavior, resistance to stress and ultimately lead to evolutionary change that precedes genetic change11. Indeed the existence of long-range fractal correlations in spontaneous prenatal behaviors and their interaction with stimuli from the mother and environment during pre- and postnatal development may provide the key to understanding the dual phylogenetic origins of REM sleep and exploratory behavior so prevalent among mammals

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In conclusion, spontaneous phasic episodes of nuchal atonia in fetal sheep and neonatal rats were not found to be independent random events described by Poisson distributions. Instead, these REM sleep-associated behaviors were found to be convolutionally stable distributions containing long range correlations similar to other processes in nature described as fractals in time. In addition, a general hypothesis was proposed that these spontaneous motor events associated with perinatal REM sleep serve as a global sleep state that may represent a transient behavioral ontogenetic adaptation to changing developmental environments and a source of behavioral plasticity for the emergence of novel phenotypes without the requirment for genetic change.
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1 Corner, M. A. (1990). Brainstem control of behavior: Ontogenetic aspects In: W.R. Klemm and Robert P. Vertes (Eds.) Brainstem Mechanisms of Behavior, (pp. 239-268). John Wiley and Sons, Inc., New York.

2 Mirmiran, M. (1986) The importance of fetal/neonatal REM sleep. European Journal of Obstetrics Gynecology and Reproductive Biology, 21: 281-291.

3 Bassingthwaighte, J.B., Liebovitch, L.S. and West B.J. (1994). Fractal Physiology. Oxford University Press, New York.

4 Mandelbrot, B. B. (1983). The Fractal Geometry of Nature. New York : W.H.Freeman.

5 Takayasu, H. (1989). Fractals in the physical sciences. Nonlinear science: Theory and applications. Manchester, Manchester University Press.

6 Evarts, E.V. (1967). Unit activity in sleep and wakefulness, In: G.C. Gardner, T. Melnechuk and F.O. Schmitt (Eds.), The Neurosciences: A Study Program, (pp. 545-556), New York: Rockefeller University Press.

7 Morruzzi

8 Tanguay, P.E., Ornitz, E.M., Forsythe, A.B., and Ritvo E.R. (1976). Rapid eye movement (REM) activity in normal and autistic children during REM slee Journal of Autism and Childhood Schizophrenia, 6:275-288.

9 Oppenheim, R.W. (1981). Ontogenetic adaptations and retrogressive processes in the development of the nervous system and behavior: A neurobiological prespective. In K. J. Connelly and H.F.R. Prechtl (Eds.). Maturation and development: Biological and psychological perspectives (pp.1-54). Philadelphia: Lippincott.

10 Kuo, Z. Y. (1976). The dynamics of behavior development. New York: Plenum Press.

11 Gottlieb, G. (1992). Individual Development and Evolution: The Genesis of Novel Behavior. New York: Oxford University Press.

 

 

 


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