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School of Behavioural Science, University of Melbourne, Parkville, Victoria 3052, Australia
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ABSTRACT |
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Ventilation decreases and airway resistance increases with the loss of electroencephalogram alpha activity at sleep onset. The aim of this study was to determine whether reflexive load compensation is lost immediately on the loss of alpha activity. Six healthy male subjects were studied under two conditions (load and control-no load), in three states (continuous alpha, continuous theta, and immediately after a transition from alpha to theta), and in two phases (early and late sleep onset). Ventilation and respiratory timing were measured. A comparison of loaded with control conditions indicated that loading had no effect on inspiratory minute ventilation during continuous alpha (differential effect of 0.00 l/min) and only a small, nonsignificant effect in theta immediately after phase 2 transitions (0.31 l/min), indicating a preservation of load compensation at these times. However, there were significant decreases in inspiratory minute ventilation on loaded trials during continuous theta in phase 2 (0.77 l/min) and phase 3 (1.15 l/min) and during theta immediately after a transition in phase 3 (0.87 l/min), indicating a lack of reflexive load compensation. The results indicate that, because reflex load compensation is state dependent, state-related changes in airway resistance contribute to state-related changes in ventilation during sleep onset. However, this effect was slightly delayed with transitions into theta early in sleep.
electroencephalogram; airway resistance; ventilation; respiratory timing
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INTRODUCTION |
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VENTILATION DECREASES and arterial PCO2 increases during non-rapid-eye-movement (NREM) sleep in normal healthy humans (2, 19). One mechanism that contributes to this phenomenon is a sleep-related loss of drive to the upper airway muscles, resulting in an increase in resistance and decrease in ventilation (5, 11). An important aspect of this mechanism is that compensatory responses to increased resistive loads are impaired during sleep, allowing the decrease in ventilation. Thus, during wakefulness, an increase in airway resistance is immediately compensated for, resulting in a maintenance in the level of ventilation (13). During sleep, however, this immediate reflexive component of resistive load compensation is effectively absent (4, 10, 13, 23, 24). Furthermore, the sensitivity of chemical responsiveness is reduced (19). Thus, after application of a load, ventilation decreases and then gradually recovers, but not to preload levels.
A second mechanism that contributes to the decrease in ventilation during sleep is a loss of central drive to the respiratory pump muscles. The independence of this mechanism from that of airway resistance has been demonstrated by a number of procedures. For example, ventilation has been shown to decrease during sleep in the absence of an increase in resistance, either in patients with tracheostomies (17) or by use of continuous positive airway pressure (18). Furthermore, the PCO2 threshold is higher during sleep than during wakefulness when the effects of airway resistance are removed by mechanical ventilation (20).
The relative contribution of the increase in airway resistance and loss of central drive to the respiratory pump muscles to the sleep-related decrease in ventilation and increase in PCO2 remains unclear. It is possible that their relative importance differs between individuals (14, 15) and differs as a function of the development of sleep within a particular sleep period (16). During sleep onset, ventilation is critically dependent on fluctuations in sleep-wake state, with large decreases in ventilation occurring abruptly at the loss of alpha activity in the electroencephalogram (EEG) (3, 22). In contrast, although sleep-related changes in airway resistance are initiated at the loss of alpha activity, the changes are initially small and increase gradually as a function of the development of sleep (15, 16). Thus, changes in ventilation early in sleep onset appear less dependent on airway resistance than they appear later in sleep onset.
A related issue, which remains to be resolved, is whether the small changes in resistance that occur early in sleep onset elicit compensatory responses. That is, is reflex compensation to resistive loading lost abruptly with the loss of alpha EEG activity, permitting the rise in airway resistance to affect ventilation, or does the loss of compensation occur gradually as sleep develops? This study aimed to assess the effect of state, as defined by the presence vs. absence of alpha EEG activity during sleep onset, on the presence of reflexive load compensation.
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METHODS |
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Subjects and Design
The subjects were six healthy men with a mean age of 20 ± 1.67 yr, mean height of 177.2 ± 2.71 cm, and mean weight of 70.5 ± 2.71 kg. All were nonsmokers and free of sleep-related respiratory disorders. Subjects were studied on three nonconsecutive nights. The experimental technique was to introduce an inspiratory load during particular sleep-wake states. Such trials were administered under two different loading conditions. The first was a control condition in which no load was applied other than that imposed by the respiratory equipment. The second was a load condition in which an additional resistive load was externally applied. Loaded and control trials were performed during three sleep-wake states: periods of continuous alpha EEG activity, periods of continuous theta, and periods of theta immediately after a transition from alpha to theta activity. Loads applied in continuous theta or in theta immediately after alpha-to-theta transitions were further divided into two phases: early (phase 2) and late (phase 3) sleep onset. This distinction was not employed for alpha, because periods of continuous alpha of sufficient duration could not be obtained late in sleep onset.Procedures
General laboratory procedures. The study was approved by the University of Melbourne's Human Ethics Committee, and subjects gave written informed consent before participation. Subjects were asked to refrain from consuming caffeine or alcohol on the day before each sleep session. Because the study was concerned with the sleep-onset period, each experimental session involved use of a multiple sleep-onset technique. After the attainment of ~10 min of stable stage 2 sleep, subjects were awakened and kept awake until alert. Subjects were then requested to go to sleep again. A 3- to 4-h recording session resulted in three to eight sleep onsets per subject. During data collection, subjects were required to maintain a supine position. They were instructed as to the detection of mask leaks and were asked to alert the experimenter if these occurred. The experimenter also checked the mask for leaks during the period of wakefulness between each sleep onset.
All sleep and ventilation recordings were performed on a 16-channel polygraph (model 7D, Grass) with data amplified, filtered, and displayed on a paper chart. Occipital EEG and airflow levels were recorded on an IBM-compatible 486 PC by using a 16-bit analog-to-digital converter and by sampling at 100 Hz.Measurement of ventilation.
Subjects wore a face mask used for anesthesia (size 6;
Commonwealth Industrial Gases). The mask was tightly secured by using a
head strap to cover the nose and mouth, and it was attached to a
two-way nonrebreathing valve (Hans Rudolph series 2600). The mask and
breathing valve had a dead space of ~120 ml. Inspiratory airflow was
measured by using a heated Morgan pneumotachograph that was placed in
the inspiratory line and connected to a differential pressure
transducer (Validyne DP45-14). The output was converted to a
voltage signal by using a carrier demodulator (Validyne CD15). Without
an added external load, the inspiratory circuit had an internal
resistance of 2.6 cmH2O · l
1 · s
at a flow rate of 15 l/min. Airflow was calibrated before each session
by using a flowmeter (model 1355 Shorate). Inspiratory volume was calculated by computer integration of the flow signal. Automated off-line analysis was used to calculate tidal volume (VT), minute inspiratory
ventilation
(
I),
inspiratory duration (TI), and
total cycle duration
(TT).
Measurement of sleep state. Sleep state was determined by using gold cup surface electrodes to record central (C3-A2) and occipital (O1-A2) EEGs, electrooculogram, and submental electromyogram (EMG) activity. On the basis of these recordings, each sleep onset was divided into three phases. The rationale and scoring procedures for the subclassification of sleep onset have been previously presented (14) and is briefly described below.
Phase 1 of sleep onset was defined as being the period from lights out until the first occurrence of three of five consecutive breaths classified as theta. Thus, throughout this phase, subjects were awake, with continuous alpha activity recorded in the EEG. Phase 2 was defined as being from the end of phase 1 to the first occurrence of a sleep spindle or K-complex. This phase was characterized by alternating periods of EEG alpha and theta activity. Thus, breaths during phase 2 were classified as occurring within one of two states: wakefulness (alpha EEG activity) or sleep (theta EEG activity), depending on the nature of the EEG associated with each breath. Phase 3 was defined as the period from the end of phase 2 until the achievement of stable stage 2 sleep. This phase was also characterized by the alternation of two states. The first state, wakefulness and brief arousals, was defined by the presence of alpha or by non-EEG criteria of arousals, such as eye movements and bursts of EMG activity. The second state, sleep, was defined by theta activity with associated sleep spindles and K-complexes. Phase 3 was distinguished from phase 2 on the basis of the occurrence of spindles and K-complexes during the periods of sleep within this phase. Another difference was that the periods of wakefulness in phase 3 were typically very short. Thus, as indicated above, it was not possible to administer trials during the wakefulness state within phase 3.Automated EEG scoring.
An automated period analysis of the occipital EEG was
first used to classify the EEG frequency associated with each breath. A
ratio of EEG alpha activity (
8 Hz) to theta activity (<8 Hz) was
calculated for each breath by using a peak-to-peak period analysis. The
obtained ratio was then compared with a criterion ratio to determine
whether its value indicated predominantly alpha or theta EEG activity.
The criterion ratio was computed separately for each subject because of
individual variability of alpha in the waking state. To calculate the
criterion ratio, samples of 100-150 breaths of unambiguous alpha
and theta EEG activity were visually identified by an experienced
scorer. The alpha-to-theta ratio for each of these breaths was
calculated, and a signal-detection method (equal likelihood ratio) was
used to determine the value (criterion) that discriminated between
unambiguous alpha and unambiguous theta breaths. These methods have
been described in detail in a previous publication (14). Visual
analysis was then used to identify arousals not defined by alpha
activity and to identify periods of theta associated with sleep
spindles and K-complexes.
Application of external resistive loads.
To apply a load, the inspiratory side of the breathing
circuit was connected to a two-way tap which allowed for inspiration either with or without an additional external resistive load. The
loading circuit was constructed by using layers of fine wire mesh that
produced an added external resistance of 3.4 cmH2O · l
1 · s.
Thus, the breathing apparatus plus the additional resistive load
totaled 6 cmH2O · l
1 · s.
The additional load was barely perceptible to subjects and was selected
to be approximately the same size as average physiological resistive
loads that occur in response to upper airway changes during
alpha-to-theta transitions in normal sleep (14).
Data Reduction
The two breaths before load application were classified as the preload breaths, with the first five breaths after load application termed the loaded breaths. The two preload breaths were averaged within each trial, and trials were averaged within each subject (over sleep onsets and nights) for the preload and each loaded breath. Five difference scores were then computed from these means by subtracting each loaded breath from the preload average. Preliminary analyses did not reveal a main effect of night for any of the respiratory variables [
I,
F(2,10) = 0.81, P > 0.05;
VT,
F(2,10) = 1.22, P > 0.05;
TI,
F(2,10) = 1.21, P > 0.05;
TT,
F(2,10) = 1.19, P > 0.05], indicating that
responses to loading did not differ as a function of night of testing.
When respiratory variables were measured, the similarity across nights
was consistent with previous experiments in our
laboratory. Furthermore, night-to-night consistency has
been observed in other studies measuring respired volumes and EEG sleep
patterns in normal subjects (6) and
VT,
I, and
respiratory rate in patients with chronic obstructive pulmonary disease
(8).
Control data were obtained for the same states and phases as loaded trials. The definition of the beginning of a control trial in the continuous alpha and continuous theta conditions was the sixth breath after termination of a previous loaded trial. Where this was not possible to obtain because of a movement, rearousal, or application of another load, control trials were obtained unsystematically from unloaded periods when the experimenter was blinded to ventilation variables. Control trials after an alpha-to-theta transition were obtained from transitions in which loads were not applied. Analysis of control data was identical to that of loaded data.
Because of the difficulty of rapid visual classification of breaths as alpha or theta during the experiment, it was not always possible to apply the load on the first theta breath of an alpha-to-theta transition. Off-line analysis indicated the load was applied on either the first, second, or third theta breath (40, 44, or 16% of trials, respectively) after an alpha-to-theta transition. This resulted in a maximum of two unloaded theta breaths that were after a transition but preceding a load. These breaths were included in the analysis, because we felt it was important to maintain each breath's particular position with respect to the transition.
Data Analysis
All statistical analyses were conducted on difference scores: the difference between the preload average and the value for each of the first five postload breaths. The data were analyzed in two stages. The first analysis compared loaded and control trials during periods of continuous alpha and continuous theta EEG activity to determine whether there was a difference in subjects' ability to compensate for application of an external resistive load during quiet wakefulness compared with during light sleep. For this analysis, periods of continuous theta (phases 2 and 3) were combined and averaged to yield an overall theta mean. A 2 (state: alpha vs. theta) × 2 (condition: loaded vs. control) × 5 (breath position) ANOVA with repeated measures on each factor was conducted.The second analysis compared loaded and control trials during theta as a function of whether the load was administered during continuous theta or immediately after a transition from alpha to theta. For the purpose of this analysis, the two levels of state refer to periods of continuous theta and transitions from alpha to theta EEG activity. In addition, this analysis determined whether there was an effect of phase during sleep onset [phase 2 (early in sleep onset) vs. phase 3 (late in sleep onset)] in response to the load. A 2 (state: continuous theta vs. after transition into theta) × 2 (condition: load vs. control) × 2 (phase 2 vs. phase 3) × 5 (breath position) ANOVA, with repeated measures on each factor, was conducted.
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RESULTS |
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The average number of trials obtained for subjects in each of the loaded and control conditions was 52 (range, 40-78) in continuous alpha, 17 (range, 10-25) in continuous theta (phase 2), 58 (range, 47-78) in continuous theta (phase 3), 16.33 (range, 10-33) at alpha-to-theta transitions (phase 2), and 26.67 (range, 15-45) at alpha-to-theta transitions (phase 3).
Continuous Alpha vs. Continuous Theta EEG Activity
As shown in Figs. 1 and 2 and in Table 1, the data indicate that, during alpha activity, application of the load elicited a response characteristic of that observed in studies which administered loads during presleep wakefulness, whereas application of the load during theta produced a response characteristic of that observed in studies which administered loads during established NREM sleep. Thus,
I decreased on
loaded trials during continuous theta but not on loaded trials during
continuous alpha or on control trials in either state.
This was indicated by a significant state-by-condition interaction for
I
[F(1,5) = 14.00, P < 0.05]. The decrease in ventilation during continuous theta trials occurred on the first loaded
breath and then gradually approached preload levels with subsequent
loaded breaths (Fig. 2, A and
B). This was confirmed by a
significant condition by breath position interaction for both
I and
VT
[F(4,20) = 3.09, P < 0.05; and
F(4,20) = 5.93, P < 0.01, respectively] and a
significant state-by-condition-by-breath position interaction for
VT
[F(4,20) = 4.42, P < 0.05]. As indicated in
Fig. 2, A and
B, ventilation decreased
significantly in the region of postload theta breaths
1-3.
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The maintenance of ventilation in the alpha state was associated with an immediate prolongation in TI on the first loaded alpha breath (Fig. 1C), the effect being significant for breaths 1 and 2. During theta, there was a more gradual increase in TI over loaded theta breaths (Fig. 2C). The significance of these effects was indicated by significant state-by-breath position [F(4,20) = 41.47, P < 0.05] and state-by-condition-by-breath position [F(4,20) = 8.23, P < 0.001] interactions for TI. Thus, it appears that the gradual return of ventilation toward preload levels during loaded theta trials occurred because of a progressive increase in TI. No variation in TT was detected for loaded or control conditions in either state.
The results of this analysis were consistent with the hypothesis that immediate compensation in response to application of an external resistive load occurs during wakefulness but not during sleep. Furthermore, the results indicate that these state differences in inspiratory control change rapidly with changes in state. The immediate reflex response is present during brief periods of alpha activity interposed between periods of theta but not during the brief periods of theta.
Transitions From Alpha to Theta vs. Continuous Theta EEG Activity
Loads applied during continuous theta, compared with loads applied during theta at the alpha-to-theta transition, indicated that the experimental load decreased ventilation in both situations (Figs. 3-6 and Table 1). The comparison of load vs. control was significant for both
I
[F(1,5) = 9.85, P < 0.05] and
VT
[F(1,5) = 9.43, P < 0.05].
However, the decrease in
I was greater
immediately after the transition from alpha
[F(1,5) = 13.92, P < 0.05]. This occurred
because the transition from alpha to theta was itself associated with a
decrease in ventilation, an effect which appears to be additive to the
effect of the experimental load (Table 1).
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Because of the confounding effect of the state
transition on
I, the
critical comparison in determining the effect of the experimental load
was whether the difference between the loaded and control condition
differed between continuous theta and theta immediately after a
transition. This comparison held constant the effect of the
alpha-to-theta transition. It indicated that during
phase 2, the effect of the
experimental load was smaller in theta immediately after a transition
compared with continuous theta. Inspection of Table 1 indicates that in
phase 2 the decrease in
I was 0.77 l/min greater in the loaded than in the control condition for
continuous theta, but only 0.31 l/min greater in theta after an
alpha-to-theta transition. The effect can also be observed by comparing
the difference between load and control for Fig. 3,
A and
B, with Fig. 5,
A and
B. These results suggest relatively
good compensation in phase 2 soon
after the transition into theta.
In phase 3, however, the decrease in
I was 1.15 l/min greater for the loaded condition in continuous theta and 0.87 l/min greater in theta after an alpha-to-theta transition, indicating poor compensation soon after the transition into theta in
phase 3. This can also be seen by
comparing Fig. 4, A and
B, with Fig. 6,
A and
B. Indeed, phase had only a small
effect on the difference between load and control conditions during
continuous theta but had a substantial effect at transitions.
Statistically, this pattern was supported by the significant phase
[F(1,5) = 16.68, P < 0.01], state-by-phase
[F(1,5) = 7.88, P < 0.05], but not
state-by-condition-by-phase [F(1,5) = 1.06, P > 0.05] effects for
I. In summary,
late in sleep onset (phase 3), the
experimental load had the same effect on ventilation whenever it was
applied during theta and was additive with physiological changes at
alpha-to-theta transitions. However, early in sleep onset
(phase 2), the experimental load had
a smaller effect when applied immediately after the alpha-to-theta
transition than when applied during continuous theta.
Consideration of the pattern of change in ventilation after load
application indicated differences between continuous theta and theta
after a transition. After a transition into theta, with the application
of a load, ventilation decreased progressively until the third breath
in the series and then recovered slightly on the last two breaths. This
effect was particularly marked in phase
3 (Fig. 4, A and
B). After a transition without
application of a load (control trials), ventilation did not recover
over subsequent breaths. In contrast, the decrease in ventilation
during loaded periods of continuous theta was at a maximum on the first
breath, recovering slightly for each subsequent breath in the series
(Fig. 6, A and
B). These observations were
confirmed by statistical analysis that revealed a significant main
effect of breath position for
I and
VT
[F(4,20) = 5.55, P < 0.01; and
F(4,20) = 3.43, P < 0.05, respectively], and a
significant interaction among state, phase, and breath position for
I
[F(4,20) = 3.7, P < 0.05], and a
condition-phase-breath position interaction for
VT [F(4,20) = 3.04, P < 0.05]. The
differences in the pattern of decrease in ventilation after load
application most likely reflects two factors: the influence of the
transition itself and the fact that the load could not always be
applied on the first posttransitional breath.
Inspiratory duration during loaded compared with control trials increased progressively from the second loaded breath during alpha-to-theta transitions in phase 2 (Fig. 3C) and increased progressively to a smaller extent during loaded breaths in continuous theta (Fig. 5C). This was confirmed by a significant state-by-breath position [F(4,20) = 5.42, P < 0.01] and condition-by-breath position [F(4,20) = 9.42, P < 0.001] interaction for TI. Although a progressive increase in TI was observed during loaded transitions in phase 3, a similar but slightly smaller progressive increase was also observed for control trials (Fig. 6C). With respect to TT, no variation between loaded and control conditions was observed at alpha-to-theta transitions except for a fourth breath increase during loaded phase 2 (Fig. 3D) and a third breath increase during loaded phase 3 (Fig. 4D) transitions.
Absolute Ventilation Values
It should be noted that, as anticipated on the basis of previous studies (21, 22), the data from control trials indicated that absolute
I values
differed according to phase and state. These effects have been
illustrated in Table 1.
I was greater in continuous alpha than in continuous theta and was particularly high
for pretransition alpha in phase 3.
For the control condition, theta values were relatively stable over
different phases. These data are introduced to discuss the possibility
that the effects of loading may have been affected by preload
ventilation values.
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DISCUSSION |
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The results of the study indicate that the presence vs. absence of the load-compensating reflex is tightly controlled by state. Thus, during sleep onset, when the sleep-wake state fluctuates between brief periods of EEG alpha activity (wakefulness) and EEG theta activity (sleep), the compensation reflex is intact during the brief periods of wakefulness but not during brief periods of sleep. This is consistent with, and adds to, previous resistive- and elastic-loading studies that demonstrate immediate compensation in relaxed wakefulness and an absence of compensation during stable NREM sleep (9, 10, 13, 23, 24). The mechanisms responsible for immediate load compensation during wakefulness are likely to involve reflex actions mediated by stimulation of airway, lung, and chest wall mechanoreceptors and by the intrinsic properties of the respiratory muscles.
The loss of reflex compensation was, in general, very rapid after the loss of alpha activity in the EEG. Thus, late in sleep onset (phase 3), the loss of reflex compensation was within a breath of the transition. However, this loss was less rapid early in sleep onset, as loading had no appreciable effect on ventilation after an alpha-to-theta transition in phase 2. Nevertheless, this effect was restricted to the first few breaths after the loss of alpha activity, because loading in continuous theta in phase 2 was not compensated for. It should be noted that the difference between the theta state at alpha-to-theta transitions and during continuous theta was that in the former the load was applied within the first three theta breaths after a transition, while in the later it was applied after a minimum of five continuous theta breaths. It is unclear why reflex load compensation does not drop out very early in sleep onset. We speculate that this may be caused by a loose coupling between sleep and respiratory mechanisms and between the different respiratory components, early as opposed to later in sleep onset. Thus, early in sleep onset, although ventilation is affected immediately, the influence of sleep on reflex compensation is delayed. However, as sleep develops, the influence of sleep mechanisms on respiratory activity is more effectively coordinated, such that with each reentry into sleep, reflex load compensation is lost immediately.
The decrease in ventilation during alpha-to-theta transition control trials, where no additional load was applied, occurred rapidly (within 1-3 breaths) at the transition in both phases 2 and 3, with the decrease in ventilation being greater in phase 3 than in phase 2. This pattern was consistent with previous research investigating ventilation changes during sleep onset (22). Although airway resistance was not measured in this study, previous work has shown small increases in resistance at the alpha-to-theta transition (14-16). However, as noted above, the lack of any appreciable reduction in ventilation for loaded compared with control trials at phase 2 alpha-to-theta transitions indicates that compensation was still present for theta breaths immediately after alpha breaths in phase 2. This suggests that in the absence of the experimental load, the normal decrease in ventilation at the alpha-to-theta transition was not caused by an increase in airway resistance. Rather, by exclusion, the initial sleep-induced decrease in ventilation appears to be largely caused by reduced central drive of the respiratory pump muscles. However, the larger reduction in ventilation, observed from addition of a load during phase 3 alpha-to-theta transitions, indicates the relative absence of a load-compensating response. This suggests that the increase in airway resistance plays a greater role in the decrease in ventilation at normal alpha-to-theta transitions as sleep onset develops. Thus, consistent with a previous study (16), the data indicate that the increase in airway resistance and loss of central drive to the respiratory pump muscles both contribute to the sleep-induced decrease in ventilation, but the timing of the two effects differs over the progression of sleep onset.
TI showed a gradual increase after external loading in both continuous theta and in theta after an alpha-to-theta transition. The gradual increase is likely to caused by stimulation of chemoreceptors in response to hypoventilation produced from the increased mechanical load. However, it is of interest to note that although ventilation decreased during normal alpha-to-theta transitions, there was no associated change in TI. This finding is consistent with previous research (15, 21, 22). The difference in the response of TI to external resistive loads as opposed to the physiological load associated with alpha-to-theta transitions may be caused by qualitative differences in the physiological response to internal vs. external loads. Alternatively, it may indicate that the decrease in ventilation reflects a decrease in ventilatory drive at alpha-to-theta transitions, either as a consequence of a loss of wakefulness input or as a reduction in the threshold or slope of ventilatory responses to chemical stimuli. According to this view, TI would not increase after the transition, because ventilation would be appropriate to the level of drive.
In assessing the findings of this experiment, several methodological issues must be considered. The state instability which characterizes sleep onset (phases 2 and 3) is associated with substantial fluctuations in respiratory activity (22), a pattern reflected in the present data (see Table 1). Thus, transitions from alpha to theta are associated with hypoventilation and increased upper airway resistance in theta, whereas theta-to-alpha transitions are associated with hyperventilation and normal waking upper airway resistance during alpha (12, 22). Furthermore, the ventilatory instability results in fluctuations in chemical drive (7, 22). It is possible that the effect of a load might differ as a function of the conditions present at load application. It was for this reason that the effect of the experimental load was assessed by comparison with a control condition so that respiratory drive, both central and chemical, would have been equivalent in the loaded and control conditions. Thus, within a state, the comparison between a load and control would reflect the presence vs. absence of reflex load compensation. However, it remains possible that the magnitude of effects between states and phases may have been modified by preload differences in ventilation and chemical drive. Nevertheless, it should be noted that the relevant comparisons in this study were between the load and control conditions, and thus the general thrust of the results remains valid.
The response to an added respiratory load may also be different if presented at different lung volumes. During stable stage 2 sleep, functional residual capacity (FRC) has been found to decrease by ~200 ml (12). It is theoretically possible that the reduced ventilatory response to the added respiratory load during sustained theta and after phase 3 transitions may be affected by the lower FRC observed during sleep. However, VT has been shown to be maintained over a wide range of increased FRC in sleep (1). It is therefore unlikely that our results were caused by changes in FRC associated with sleep.
As noted in METHODS, it was not always possible to apply the experimental load on the first theta breath in alpha-to-theta transition trials. Although most of the transition trials were obtained from loads applied on the first or second theta breaths, several unloaded theta breaths would still have been included in the analysis of loaded trials. The addition of unloaded trials would have dampened the effects of loading on the first two breaths in the series. Pure loaded trials would probably have resulted in a steeper reduction in ventilation on initial loaded breaths.
Although compensation in response to the external resistive load was impaired relatively early during sleep onset, this impairment may not be indicative of a complete loss of compensation. To be certain of a complete loss of neural compensation, it would have been necessary to measure the inspiratory muscle response to the external load, so that the complete absence of a compensatory response would be indicated by the absence of an increase in inspiratory EMG activity in response to the load. However, the results suggest that the loss of compensation was largely complete, because the decrease in ventilation in response to the addition of an external load of similar magnitude to known physiological loads had a similar effect on ventilation.
The rapid changes in ventilation and airway resistance, and lack of compensation observed during periods of theta in sleep onset, are potentially significant to the development of respiratory instability during sleep. Pathological respiratory events, such as apneas, hypopneas, and periodic breathing, have been found to be positively related to the decrease in ventilation at alpha-to-theta transitions (21). The lack of adequate reflexive load compensation mechanisms during sleep onset permits increases in airway resistance to adversely affect ventilation and may therefore play a significant role in the development of these pathological respiratory events.
In conclusion, the effectiveness of the reflex compensation response to resistive loads is critically dependent on sleep-wake state. Thus, with the exception of a brief period after the loss of alpha activity early in sleep onset, the reflex response is present during the EEG alpha state but not during theta EEG activity. Nevertheless, because compensation is present briefly in phase 2 when ventilation decreases abruptly, the decrease in ventilation at this time may be primarily caused by withdrawal of drive to the inspiratory pump muscles, whereas the decrease in ventilation at alpha-to-theta transitions later in sleep onset appears to be caused additionally by the increase in airway resistance and lack of immediate load compensation. It is suggested that this lack of compensation, in association with resistance and ventilation changes observed during sleep onset, is critical to the development of respiratory instability during sleep.
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ACKNOWLEDGEMENTS |
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This project was supported by an Australian Research Council grant (to J. Trinder).
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FOOTNOTES |
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Address for reprint requests: J. Trinder, Dept. of Psychology, School of Behavioural Science, Univ. of Melbourne, Parkville, Victoria 3052, Australia.
Received 31 March 1997; accepted in final form 9 March 1998.
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REFERENCES |
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|
|
|---|
1.
Begle, R. L.,
S. Badr,
J. B. Skatrud,
and
J. A. Dempsey.
Effect of lung inflation on pulmonary resistance during NREM sleep.
Am. Rev. Respir. Dis.
141:
854-860,
1990[Medline].
2.
Bulow, K. Respiration and wakefulness in man.
Acta Physiol. Scand. 59, Suppl. 209: 1-110, 1963.
3.
Colrain, I. M.,
J. Trinder,
G. Fraser,
and
G. W. Wilson.
Ventilation during sleep onset.
J. Appl. Physiol.
63:
1-8,
1987
4.
Dempsey, J. A.,
K. G. Henke,
and
J. B. Skatrud.
Regulation of ventilation and respiratory muscle function in NREM sleep.
In: Sleep and Respiration. Proceedings of the First International Symposium on Sleep and Respiration, edited by F. Issa,
P. Suratt,
and J. Remmers. New York: Wiley-Liss, 1990.
5.
Dempsey, J. A.,
and
J. B. Skatrud.
Fundamental effects of sleep state on breathing.
Curr. Pulmonol.
9:
267-504,
1988.
6.
Douglas, N. J.,
D. P. White,
C. K. Pickett,
J. V. Weil,
and
C. W. Zwillich.
Respiration during sleep in normal man.
Thorax
37:
840-844,
1984[Abstract].
7.
Dunai, J.,
M. Wilkinson,
and
J. Trinder.
Interaction of chemical and state effects on ventilation during sleep onset.
J. Appl. Physiol.
81:
2235-2243,
1996
8.
Gothe, B.,
L. M. Hanekamp,
and
N. S. Cherniack.
Reproducibility of ventilatory measurements during sleep on different nights in patients with chronic obstructive pulmonary disease.
J. Lab. Clin. Med.
109:
608-616,
1987[Medline].
9.
Gugger, M.,
J. Molloy,
G. A. Gould,
K. F. Whyte,
G. M. Raab,
C. M. Shapiro,
and
M. J. Douglas.
Ventilatory and arousal responses to added inspiratory resistance during sleep.
Am. Rev. Respir. Dis.
140:
1301-1307,
1989[Medline].
10.
Henke, K. G.,
M. S. Badr,
J. B. Skatrud,
and
J. A. Dempsey.
Load compensation and respiratory muscle function during sleep.
J. Appl. Physiol.
72:
1221-1234,
1992
11.
Henke, K. G.,
J. A. Dempsey,
J. M. Kowitz,
and
J. B. Skatrud.
Effects of sleep-induced increases in upper airway resistance on ventilation.
J. Appl. Physiol.
69:
617-624,
1990
12.
Hudgel, D. W.,
and
P. Devadatta.
Decrease in functional residual capacity during sleep in normal humans.
J. Appl. Physiol.
57:
1319-1322,
1984
13.
Iber, C.,
A. Berssenbrugge,
J. B. Skatrud,
and
J. A. Dempsey.
Ventilatory adaptions to resistive loading during wakefulness and NREM sleep.
J. Appl. Physiol.
52:
607-614,
1982
14.
Kay, A.,
J. Trinder,
G. Bowes,
and
Y. Kim.
Changes in airway resistance during sleep onset.
J. Appl. Physiol.
76:
1600-1607,
1994
15.
Kay, A.,
J. Trinder,
and
Y. Kim.
Individual differences in the relationship between upper airway resistance and ventilation during sleep onset.
J. Appl. Physiol.
79:
411-419,
1995
16.
Kay, A.,
J. Trinder,
and
Y. Kim.
Progressive changes in airway resistance during sleep.
J. Appl. Physiol.
81:
282-296,
1996
17.
Morrell, M. J.,
H. R. Harty,
L. Adams,
and
A. Guz.
Breathing during wakefulness and NREM sleep in humans without an upper airway.
J. Appl. Physiol.
81:
274-281,
1996
18.
Morrell, M. J.,
H. R. Harty,
L. Adams,
and
A. Guz.
Changes in total pulmonary resistance and PCO2 between wakefulness and sleeping normal human subjects.
J. Appl. Physiol.
78:
1339-1349,
1995
19.
Phillipson, E. A.,
and
G. Bowes.
Control of breathing during sleep.
In: Handbook of Physiology. The Respiratory System. Bethesda, MD: Am. Physiol. Soc., 1986, sect. 3, vol. II, pt. 2, chapt. 19, 1986, p. 649-690.
20.
Simon, P. M.,
J. A. Dempsey,
D. M. Landry,
and
J. B. Skatrud.
Effect of sleep on respiratory muscle activity during mechanical ventilation.
Am. Rev. Respir. Dis.
147:
32-37,
1993[Medline].
21.
Trinder, J.,
J. Dunai,
A. Kay,
and
I. Colrain.
The contribution of state changes to respiratory instability during sleep onset.
In: Sleep and Wakefulness, edited by V. M. Kumar,
H. N. Mallick,
and V. Nayar. New Delhi, India: Wiley Easton, 1993, p. 205-211.
22.
Trinder, J.,
F. Whitworth,
A. Kay,
and
P. Wilkin.
Respiratory instability during sleep onset.
J. Appl. Physiol.
73:
2462-2469,
1992
23.
Wiegand, L.,
C. W. Zwillich,
and
D. P. White.
Sleep and the ventilatory response to resistive loading in normal men.
J. Appl. Physiol.
64:
1186-1195,
1988
24.
Wilson, P. A.,
J. B. Skatrud,
and
J. A. Dempsey.
Effects of slow wave sleep on ventilatory compensation to inspiratory elastic loading.
Respir. Physiol.
55:
103-120,
1984[Medline].
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