Vol. 84, Issue 6, 2106-2114, June 1998
Elicited pontogeniculooccipital waves and phasic suppression
of diaphragm activity in sleep and wakefulness
Wendy K.
Hunt1,3,
Larry D.
Sanford1,3,
Richard J.
Ross1,2,3,
Adrian R.
Morrison1,2,3, and
Allan I.
Pack3
1 Laboratory for Study of the
Brain in Sleep, Department of Animal Biology, School of Veterinary
Medicine, 2 Department of
Psychiatry, School of Medicine, and
3 Center for Sleep and
Respiratory Neurobiology, Department of Medicine, School of
Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
19104
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ABSTRACT |
Fractionations are 20- to 100-ms pauses in
diaphragm activity that occur spontaneously during rapid-eye-movement
(REM) sleep, sometimes in association with pontogeniculooccipital (PGO)
waves. Auditory stimuli can elicit fractionations or PGO
waves during REM sleep, non-REM (NREM) sleep, and waking; however,
their interrelationship has not been investigated. To determine whether
the two phenomena are produced by a common phasic-event generator in
REM sleep, we examined PGO waves and fractionations that were elicited
by auditory stimuli (tones) presented to freely behaving cats across states. Tones elicited PGO waves and two types of fractionations: short-latency fractionation responses (SFRs; 10- to 60-ms latencies) and long-latency fractionation responses (LFRs; 60- to 120-ms latencies). Both a PGO wave and a SFR were elicited in
60-70% of trials across states, but each could be elicited alone.
The latencies and durations of elicited SFRs were similar across
states, but the latencies of elicited PGO waves in REM sleep (mean 62.5 ms) were significantly longer than in waking or NREM sleep. Elicited SFRs consistently occur with shorter latencies than do PGO waves, in
contrast to spontaneous fractionations, which have a variable relationship to PGO waves and usually occur 10-40 ms after the onset of the PGO wave. The LFR then, elicited most
frequently during REM sleep, resembles a spontaneous fractionation in
its temporal relationship to the PGO wave and may reflect the bias toward motoneuronal inhibition characterizing REM sleep but not NREM
sleep or waking. We conclude that, although PGO waves and SFRs share
some features, like LFRs they probably are generated by different
neuronal populations. In three cats there was no correlation between
PGO waves and fractionations, whereas in one cat they were associated
in REM sleep (LFRs and SFRs) and waking (SFRs only). Thus the majority
of evidence argues against the existence of a common phasic-event
generator in REM sleep.
respiration; fractionation; cat; rapid-eye-movement sleep
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INTRODUCTION |
RAPID-EYE-MOVEMENT (REM) sleep is a behavioral state
identified by its tonic and phasic events. The tonic phenomena include postural muscle atonia and desynchronized electroencephalogram (EEG).
In the cat, one of the striking phasic events is the
pontogeniculooccipital (PGO) wave that is recorded with macroelectrodes
from the lateral geniculate nuclei (LGN) during REM sleep and the
transition from non-REM (NREM) sleep to REM sleep (6). Spontaneous PGO
waves occur singly during the transition from NREM sleep to REM sleep but singly and in clusters during REM sleep. Another phasic event observed during REM sleep is the fractionation: a pause in diaphragm activity that lasts 20-100 ms (20). These phasic interruptions of
respiration often also occur in clusters and can lead to prolonged apneas in the bulldog, an animal model of sleep apnea (15). Other
phasic events of REM sleep include rapid eye movements and muscle
twitches. PGO waves are closely correlated with eye movements in REM
sleep (8), and muscle twitches and highly fractionated breaths often
occur during bursts of PGO waves in REM sleep (11, 12). The common
co-occurrence of phasic events may suggest that there is a common
pacemaker for phasic events in REM sleep or that the mechanism
underlying the PGO wave drives the occurrence of other phasic events,
because it is the most frequent phasic event observed in REM sleep. We
investigated this possibility by characterizing the relationship
between elicited PGO waves and fractionations across states.
Besides occurring spontaneously in REM sleep, PGO waves and
fractionations share several characteristics that suggest they may be
generated by the same region of the brain. Lesions that eliminate PGO
waves encompass the dorsolateral pontine tegmentum, where neurons
projecting to the LGN fire in short bursts 5-10 ms before the
appearance of a PGO wave in the LGN (19, 24, 25, 27). Other lesions in
the dorsolateral pontine tegmentum abolish spontaneous fractionations
in REM sleep (14). Studies have shown that auditory stimuli presented
in different behavioral states can elicit fractionations and PGO waves,
with characteristics suggesting great similarity to spontaneous waves,
although these studies examined either PGO waves or fractionations
alone (2, 5, 16, 28). In REM sleep, however, analysis of spontaneous PGO waves and fractionations has shown that the fractionation usually
occurs 10-40 ms after onset of the PGO wave, based on cumulative
histograms of diaphragm activity centered on PGO waves (20). It has
been hypothesized that both PGO waves and fractionations involve
activation of a startle reflex (5, 16); however, more recent work
indicates significant differences between the classically defined
acoustic startle reflex (ASR; involving a short-latency whole body jerk
and increased muscle activity recorded from a variety of skeletal
muscles in response to a 100- to 120-dB auditory stimulus) and PGO
waves, which can be elicited by lower intensity stimuli that do not
result in increased muscle activity or behavioral arousal (1, 10, 23,
28). PGO waves may more accurately be described as a central marker of
alerting, important in preparing the brain for incoming sensory
information, rather than as a reflexive response to a startling
stimulus (3).
These recent observations would suggest that, although fractionations
(16) and PGO waves (24) can both be produced by tonal stimuli, they may
not be as tightly linked as previous studies would
suggest. We therefore conducted experiments in which we applied auditory stimuli in different states of waking and sleep in
cats and examined the data for the occurrence of both PGO waves and
fractionations. We decided to study elicited waveforms because we could
control the characteristics of the generating stimulus and we could
measure precise latencies relative to the stimulus, as opposed to
spontaneous waveforms, which are loosely associated with variable
latencies relative to each other. We observed that tones could produce
two types of fractionations: short-latency fractionation responses
(SFRs), which occur within 10-60 ms of the stimulus, and
long-latency fractionation responses (LFRs), which occur 60-120 ms
after the tone. Our results do not support the existence of a common
phasic-event generator, because PGO waves and both types of
fractionations could be elicited independently in all states and
response rate data suggest that they are independent events that may
co-occur under some conditions.
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METHODS |
Animal preparation.
The four adult female cats (2.1-3.5 kg) used in this study were
preanesthetized with acepromazine (0.1 mg/kg im) for sedation. Sterile
surgery was performed under general anesthesia (halothane, 1-4%
to effect). The cats were implanted with standard sleep recording electrodes, including electrooculogram (EOG), EEG, and nuchal electromyogram (EMG). Stainless steel screws were placed in the back of
each bony orbit via the frontal sinus to record the EOG. The same type
screws were positioned over the frontal cortex through the posterior
wall of the frontal sinus to record the EEG. In addition, tripolar
electrodes (Formvar-coated stainless steel wire, 0.25-mm diameter, 1-mm
tip separation) were stereotaxically implanted in both LGN to record
PGO waves (stereotaxic coordinates: anteroposterior +6.0, mediolateral
±10.0, dorsoventral +2.0; from Ref. 4). Electrodes for
recording the nuchal EMG, diaphragm EMG, and electrocardiogram (ECG)
were constructed of flexible fluorocarbon-coated stainless steel wires
(Cooner Wire, Chatsworth, CA). A pair of these electrodes was
sutured into the dorsal cervical neck muscles through a midline neck
incision for recording the nuchal EMG. Three wire electrodes were
sutured into both the right and left costal diaphragm through a small
midline abdominal incision, and two separate wire electrodes were
placed subcutaneously along the left chest wall to record the ECG. All
of the wire electrodes were led subcutaneously to the headcap. All
leads were soldered to a 26-pin connector, which was cemented to the
skull with dental acrylic that covered all exposed wires.
Nalbuphine (1-2 mg/kg im) was given postoperatively to the cats to
control any possible immediate pain on their recovery from anesthesia.
The cats were also treated with amoxicillin (11 mg/kg subcutaneous)
after surgery and for 5 days postoperatively with amoxicillin (3-4
mg/kg per os).
Recording and signal processing procedures.
The cats were allowed to recover for at least 1 wk after surgery before
being studied. During the recording sessions, the cats were placed
in a sound-attenuated chamber (1 m3) with food, water, a litter
box, and comfortable bedding. The animals were connected to a
lightweight, counterbalanced cable that has a built-in commutator
to allow the cat to turn and move freely around the chamber. A Grass
polygraph equipped with 75P11 amplifiers recorded the EOG, EEG, left
and right LGN activity (all filtered to be within a 1- to 100-Hz band),
and the three EMG signals (the neck and left and right diaphragm;
band-pass filtered between 30 and 1,500 Hz) on paper. At the same time, a seven-channel digital recorder (Vetter, Rebersburg, PA; pulse code
modulation recording adapter model 3000A) stored (for data archiving)
the processed EEG, neck EMG, left and right LGN, left and right
diaphragm EMG, and ECG (band-pass filtered at 30-1,500 Hz and
amplified) on magnetic tape at a sampling rate of 88.2 kHz. A video camera connected to a videocassette
recorder recorded the cat's behavior through a Plexiglas window on the
front of the recording chamber.
A 486 personal computer with DataWave Systems software was used to
gather the left and right LGN and raw diaphragm EMG signals online at a
sampling rate of 2,000 Hz per channel. The moving average of the
diaphragm EMG was also digitized at a sampling rate of 100 Hz. Before
digitization, the moving average of the diaphragm activity was
calculated in the following manner: each amplified and filtered
diaphragm EMG signal was routed through an analog ECG blanker (CWE,
Ardmore, PA) to remove the ECG artifact; then the signal was full-wave
rectified, and the moving average was calculated with an averaging
period of 100 ms by using a third-order Paynter filter (CWE). The
moving average was viewed on the computer screen online to determine
proper timing of the delivery of the stimuli by the experimenter.
Auditory stimulation protocol.
Pure-tone stimuli (2,000 Hz, 90 dB, 20-ms duration, 0.1-ms rise-fall
time) were generated by a frequency generator (model 200CD,
Hewlett-Packard), routed through a Coulbourn-shaped rise-fall gate
(model S84-04) to an amplifier (model PM645, Harman/Kardon) for
volume control, and presented to the cat via two built-in speakers
situated on either side of the chamber. A transistor- transistor logic (TTL) pulse produced by a customized DataWave Systems
software routine was used to gate the tone and control its
duration. On "sham" trials, no tones were delivered.
All of the data were collected for a sham trial as for a tone trial, except that a tone signal was not gated to the speakers. Both the
auditory stimuli and the sham signals were triggered during midinspiration as determined by the experimenter from the moving average of the diaphragm activity. The time of the tone or the sham
signal was simultaneously marked on magnetic tape with a TTL pulse, on
the paper record through a Grass direct-current driver amplifier, and
on the computer record as a separate analog-to-digital channel
(different channels were used to mark sham trials and tone trials on
all records). The computer also collected, online, the raw diaphragm
EMG and LGN activity, as well as signal markers for the tone and sham
trials, for a period of 20 ms before the tone onset and 180 ms after
the tone onset. All five channels (right and left LGN and raw diaphragm
EMG and either a tone- or sham-trial marker) for each 200-ms trial were
stored in a computer file for later analysis. Tones were alternated
with sham trials at a minimum interval of 7.5 s so that the interval
between tones was at least 15 s, thus minimizing habituation to the
stimulus. Studies were done on separate days at least 7 days apart for
each state: waking, NREM sleep, and REM sleep. The order of states tested was randomized for each cat. The stimuli were presented by the
experimenter after the cat entered the appropriate state for that day
(waking, NREM sleep, or REM sleep as determined by standard criteria in
Ref. 17) and then stopped if the animal changed state. Stimuli were
presented during all episodes of the appropriate state until a total of
50-150 tones were given. The tone trials were presented over a 4- to 8-h recording session, alternating with an equal number of sham
trials.
Data analysis.
The data for each 200-ms trial were individually examined on the
computer screen for the occurrence of PGO waves and fractionations of
diaphragm activity, as shown in Fig. 1. Any
trials in which ECG artifact occurred during the data-acquisition
window were excluded from analysis. A fractionation was defined as a
pause in diaphragm activity (a decrease in amplitude equal to
expiratory levels) with a duration of at least 10 ms. Peak amplitudes
and both onset and peak latencies from tone onset for PGO waves were measured with cursors as were fractionation onset latencies and durations (for definitions, see Fig. 1). Two varieties of
fractionation were observed: a SFR and a LFR. After individual PGO
waves and fractionations were scored, the raw diaphragm data files from each trial (divided into tone trials or sham trials) were full-wave rectified, smoothed by using a 3.5-ms sliding window, and averaged for
each state in each animal. The LGN recordings were also averaged without rectification or smoothing. To control for possible differences in recording quality as well as baseline and amplitude levels of the
diaphragm EMG across different recording days, the averaged diaphragm
data for each day were normalized in the following manner. The
amplitude of the diaphragm activity at the onset of the tone was set to
100%, and 0.0-mV activity was considered to be 0% (Fig. 2). This data manipulation allowed the
comparison of different animals and different recording days as percent
change in diaphragm activity. The variables extracted from the averaged
trials are shown in Fig. 2. We measured the latencies from tone
onset to the first nadir (nadir 1), the highest point in the average
(peak), and the second nadir (nadir 2). Amplitudes and durations also were measured for nadir 1, peak, and nadir 2.

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Fig. 1.
Individual example of data collected for 1 trial and variables
measured. Top trace: left lateral
geniculate nuclei (LGN) recording, from which pontogeniculoccipital
(PGO) wave peak and onset latencies and PGO wave amplitude were
obtained. Bottom trace: unrectified,
left diaphragm EMG recording, from which short-latency fractionation
response (SFR) and long-latency fractionation response (LFR) latencies
and durations (DUR) were obtained. This example was taken from
cat JB15 in rapid-eye-movement (REM)
sleep. Mean values for the individual trials across cats are shown in
Tables 1, 2, and 3.
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Fig. 2.
Averaged activity for 97 trials in REM sleep with an elicited PGO wave
and SFR (and/or LFR) for cat
JB15 showing variables measured.
Top trace: averaged left LGN recording
(not rectified or smoothed). Bottom
trace: averaged, rectified, smoothed (by using a 3.5-ms
sliding window) left diaphragm EMG recording. Amplitude of diaphragm
activity was normalized to a percent scale by setting amplitude at the
time of tone onset to 100% (i.e., all amplitude values for the average
were divided by amplitude at tone onset and multiplied by 100) and by
setting 0 mV to 0%. Latencies (LAT), durations, and amplitudes (AMP)
of nadir 1, peak, and nadir 2 measurements are indicated by interval
arrows. Variables for each state were separately measured for each cat.
PK, peak. Mean values across cats are shown in Table 4.
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A statistical analysis program (Sigmastat) was used to compare the mean
variables calculated (as shown in Figs. 1 and 2) across states with a
general linear model repeated-measure ANOVA. If this test indicated
that some parameters had reached significance (P < 0.05), then a post hoc test
appropriate to the experimental design
(t-test with a Bonferroni correction)
was used to compare the specific parameters. If the data failed the
equal-variance test, then a Friedman repeated-measures ANOVA on ranks
was used to compare the mean variables. If this test indicated that
some parameters had reached significance
(P < 0.05), then Dunn's test was
used to compare the specific parameters. Occasional missing values were
replaced with expected (E) mean squares (MS) values {the formula
used was as follows: E[MS(subject)] = variable(residual) + 2.33 variable(subject); E[MS(treatment)] = variable(residual) + variable(treatment); E[MS(residual) = variable(residual)]}. The means of variables
for trials with both a PGO wave and a fractionation elicited were
compared with the variables for trials with only a PGO wave or a
fractionation elicited by using a Student's
t-test.
Effects of position of the animal on fractionation latency and duration
and proportion of trials with an elicited fractionation were tested by
using a mixed-model ANOVA to construct statistical tests. The fixed
effects included state (waking vs. NREM sleep vs. REM sleep) and
position (left sternal recumbency vs. right sternal recumbency vs.
other). The random effects included cat, cat by position, and cat by
state effects as well as residual error. Insignificant higher order
random effects were removed (by using an
= 0.10) before testing for
the fixed effects, i.e., the position by state interaction. Proportions
were transformed by using the arcsine transformation before analysis.
To determine whether the relationships between fractionations and PGO
waves varied among animals, a Breslow-Day test was done for each state
and each type of fractionation. If the Breslow-Day test was not
significant, then the relationship between PGO waves and fractionations
was estimated for each animal separately, and a pooled estimate was
produced by using the Mantel-Haenszel procedure. If the Breslow-Day
test was significant, a within-animal analysis was performed by using a
2 test, unless the cell sizes
were too small to be valid, and then Fisher's exact tests were
performed to assess the relationship between fractionations and PGO
waves for each animal.
Histology.
After completion of all studies, each animal was given an overdose of
pentobarbital sodium and perfused intracardially with warm saline
followed by 10% Formalin. Relevant portions of the brain were embedded
in celloidin, cut on a microtome in 40-µm sections, and stained with
cresyl violet. The slides then were examined for gliosis, indicating
the location of the tripolar recording electrode in the LGN.
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RESULTS |
Responses.
Several different responses to auditory stimuli were observed. A tone
could elicit both a PGO wave and a fractionation, a PGO wave alone, a
fractionation alone, or neither a PGO wave nor a fractionation (no
response). If a fractionation was elicited, it could be a SFR with a
10- to 60-ms latency or a LFR having a >60-ms latency. SFRs
frequently occurred without LFRs, but LFRs rarely occurred without
SFRs. On occasion, particularly in REM sleep, tones produced both a SFR
and a LFR. Examples of the different types of responses are shown in
Fig. 3.

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Fig. 3.
Individual examples of types of responses observed in tone
trials. In
A-F,
top trace is left LGN recording and
bottom trace is raw, unrectified, left
diaphragm EMG recording. Movement in LGN baseline observed from 0 to 20 ms in
A-E
is stimulus artifact. Examples shown are no response
(A), a PGO wave alone
(B), a SFR alone
(C), a SFR and a LFR without a PGO
wave (D), a PGO wave with a SFR
(E), and PGO wave with a SFR and a
LFR (F).
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The most common elicited response across states and animals was both a
PGO wave and a SFR (range of means 59-65% of trials across
states; Table 1). However, it
was possible to elicit either a PGO wave or a SFR alone (range of means
0-16 and 13-18% of trials across states, respectively).
Tones elicited PGO waves and SFRs at similarly high rates across states
(range of means 62-79 and 76-77% of trials, respectively).
There was no significant difference in response rates across states. A
LFR was also elicited in some trials. This response occurred at a
significantly higher rate in REM sleep (32% of trials) than in NREM
sleep (3% of trials, t = 4.37, df = 3, P < 0.05) or waking
(4% of trials, t = 4.20, df = 3, P < 0.05). LFRs were rarely elicited
without PGO waves (range 1-6% of trials). Less than 8% of trials
in any state had no response elicited.
After analyzing the data for associations between PGO waves and
fractionations, we found that the association was not significant in
three of the animals, but one animal did show a significant relationship between PGO waves and SFRs in waking
(
2,
P = 0.046) and REM sleep (Fisher's
exact test, P = 0.0003), as well as
between PGO waves and LFRs in REM sleep
(
2,
P = 0.039).
Characteristics of fractionations (Table
2).
SFRs were elicited with a mean latency of 23-25 ms
(range across states) and a mean duration of 21-26 ms (range
across states). These values did not vary significantly across states
or response types (i.e., if elicited with or without a PGO wave).
Elicited LFRs were also very consistent across states and response
types, with a mean latency of 76-89 ms (range across states) and a
mean duration of 18-27 ms (range across states). Again, these
values were not significantly different across states or response
types.
Characteristics of PGO waves (see Table
3).
Elicited PGO waves had a significantly longer mean peak latency in REM
sleep (onset 62.5 ms, peak 84.1 ms) than in NREM sleep (onset 40.6 ms,
peak 65.1 ms, t = 8.73, df = 3, P < 0.05) or waking (onset 37.0 ms,
peak 57.8 ms, t = 12.08, df = 3, P < 0.05). The mean peak latency in
NREM sleep (65.1 ms) was also significantly longer than in waking (57.8 ms, t = 3.35, df = 3, P < 0.05). There were no significant
differences across response types (i.e., whether or not a fractionation
was elicited concurrently). Elicited PGO wave amplitudes did not vary
significantly across states or response types.
Comparison of PGO waves and fractionations from trials in which both
were elicited.
The onset latency of the elicited SFR was consistently shorter than the
onset or peak latency of the elicited PGO wave across states (Fig.
4). The difference between onset latencies
for SFR and PGO waves was significant in NREM sleep
(t = 3.69, df = 3, P < 0.05) and REM sleep
(t = 9.50, df = 3, P < 0.05) but not during waking. In
addition, the LFR latency was significantly longer than the PGO peak
latency in NREM sleep (t = 5.07, df = 3, P < 0.05) and waking
(t = 4.62, df = 3, P < 0.05).

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Fig. 4.
Mean latencies to events in waking, non-REM (NREM) sleep, and REM
sleep. Note consistency of SFR latency across states.
Also note that PGO wave onset latency was consistently longer than SFR
latency. PGO wave latencies increased significantly in REM sleep (2,
3). Increased PGO wave latency in REM sleep was not accompanied by any
significant change in SFR or LFR latency (trend toward decreased LFR
latency in REM sleep was not significant). LFR latency is consistently
longer than PGO onset latency. Error bars, SD. * Significantly
longer than SFR latency, P < 0.05. § Significantly longer than PGO peak latency,
P < 0.05.
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Positional analysis.
Position of the animal had no significant effect on fractionation
latency, duration, or proportion of trials with an elicited fractionation, as determined by using a mixed-model ANOVA to construct statistical tests. Because position had no significant effect on
diaphragm measurements, all relevant trials were included in the
calculations regardless of position.
Averaged trials.
All trials with an elicited fractionation and PGO wave were included in
the calculation of averages (Fig. 5). We
analyzed the data in this manner to detect possible decrements in
diaphragm activity that did not decrease to expiratory levels and thus
would not be scored as SFRs or LFRs. This method also allowed us to characterize the postdepression rebound (peak) observed in the averaged
data but not scored separately in the individual trial data. Nadir 1 represents the averaged SFRs, and nadir 2 represents the averaged LFRs
(see Fig. 5). The mean latencies of nadir 1, peak, and nadir 2 were not
significantly different across states, although there was a trend
toward longer latencies in NREM sleep and REM sleep compared with
waking (Table 4). The mean
duration of nadir 1 in REM sleep (38.9 ms) was significantly longer
than in waking (31.0 ms, t = 4.08, df = 3, P < 0.05). This probably reflects the trend toward increased mean SFR duration in REM sleep (25.8 ms) compared with waking (21.7 ms). The mean durations of peak
and nadir 2 varied across states. There was a consistently larger mean
change in amplitude in REM sleep than in NREM sleep or waking for nadir
1, peak, and nadir 2, but this trend was not significant. In general,
there was no significant additional decrement in diaphragm activity
that was not already reflected in the individual SFR and LFR scores.

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Fig. 5.
Averaged left LGN (top traces) and
rectified, smoothed diaphragm EMG (bottom
traces) activity for cat
JB15 in waking (top
graphs), NREM sleep (middle
graphs), and REM sleep (bottom
graphs). Tone trial averages
(left) include all trials that
elicited a PGO wave and a SFR (and/or LFR). Sham trials
(right) include all trials regardless of response (vast
majority of sham trials result in no response). In tone trials, there
is an initial poststimulus decline in diaphragm activity (nadir 1),
followed by a rebound in activity above baseline (peak), followed by a
second, smaller dip in diaphragm activity (nadir 2). All cats had a
measurable nadir 1 in all states, but cat
JB18 did not have a peak in REM sleep and 2 cats did
not have a measurable nadir 2 in 2 states (cat
JB18 in waking and REM sleep, cat
JB7 in waking and NREM sleep). Mean values across cats
are shown in Table 4. Number of trials that are included in each
average is in top right of each
graph.
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DISCUSSION |
The aim of this study was to characterize the relationship between two
phasic events that occur spontaneously in REM sleep, specifically PGO
waves and diaphragm fractionations. We tested the hypothesis that there
is a common phasic-event generator in REM sleep that produces both PGO
waves and fractionations or that the PGO wave generator drives the
generation of other phasic events in REM sleep. We studied elicited
events to determine the precise latencies of the events relative to a
known stimulus and to see whether the correlation between elicited
events was stronger in REM sleep than in waking or NREM sleep. We found
that a 90-dB tone was effective in eliciting PGO waves and
fractionations across states and seldom woke the animal. Two varieties
of fractionations were observed: a SFR that was elicited at a high
response rate across states (76-77% of trials) and a LFR that
occurred significantly more often in REM sleep (32% of trials) than in
the other states (<4% of trials). PGO waves and fractionations
frequently occurred together, but each could also be elicited alone.
SFRs were remarkably consistent in latency and duration across states,
whereas PGO waves had a significantly increased latency in REM sleep.
LFR latency and duration varied across states and displayed a trend toward decreased latency in REM sleep. Despite the decreased latency in
REM sleep, on average the LFR onset was always later than PGO wave
onset, and SFR onset was always earlier than PGO wave onset. The
accentuation of phasic diaphragm suppression observed in REM sleep was
demonstrated by the significantly greater reduction in averaged
diaphragm activity as well as the significantly increased occurrence of
LFRs compared with NREM sleep and waking. One of the animals did show a
significant association between PGO waves and SFRs in waking and REM
sleep, as well as between PGO waves and LFRs in REM sleep. Overall,
however, our findings argue against the existence of a common REM sleep
phasic-event generator and suggest that the PGO wave generator does not
drive the production of fractionations.
PGO waves and fractionations as individual events.
The PGO waves elicited in this study had similar characteristics to
elicited and spontaneous PGO waves in previous studies (2, 5). Prior
experiments had also demonstrated the increased PGO wave latency
observed in REM sleep (2). The fractionations elicited in this study
were similar to those elicited by Kline et al. (16), except that our
cats had less variable responses to the auditory stimulus. All of our
cats showed suppression of diaphragm activity in response to the tone
across states, whereas in the study of Kline et al. some of the cats
showed augmentation of diaphragm activity in NREM sleep and waking. The
augmentation was probably due to the louder stimuli (100 vs. 90 dB)
used in that study, because Wu et al. (29) have shown that, as decibel level increases, the EMG response is more likely to be augmented rather
than suppressed. LFRs were not reported in the study of Kline et al.
(16), but there is a visible dip in their figure (see Fig. 1 of Ref.
16) of the averaged diaphragm activity in REM sleep at ~80 ms after
tone onset, which corresponds to the latency of LFRs in this study.
Relationship between PGO waves and SFRs.
PGO waves and fractionations were often elicited together but could
also be elicited independently. The fact that each event can occur
alone argues for independent generating mechanisms rather than a common
pacemaker. They may simply be generated by different neuronal
populations that have similar auditory input and thus could co-occur
independently in response to stimuli. A complicated and, we believe,
less likely explanation is that PGO waves and fractionations are
generated by the same neurons and then modulated differently in their
independent output pathways.
Both PGO waves and SFRs had high response rates across states. These
high rates could account for their frequent co-occurrence; however, in
three of the four animals, there was no significant association between
these events. One of the four animals did show a significant
association between PGO waves and SFRs in waking and REM sleep. This
effect could have resulted from a lower startle threshold in this
animal. This cat was also being treated with an antibiotic (30 mg/kg
trimethoprim-sulfadiazine per os twice a day) for a resolving
subcutaneous abscess, which, although unlikely, may have influenced its
responses. However, because the majority of the animals studied showed
no significant association between PGO waves and SFRs in any state, we
believe the most parsimonious conclusion is that usually there is no
relationship between these events.
A consistent finding that emerged from this study was that the mean SFR
onset latency was shorter than the PGO wave onset latency across
states. This result is interesting because the fractionation is a
peripheral response, whereas the PGO wave is a central response and
could be assumed to have fewer intervening synapses. Also, Orem (21)
found that spontaneous fractionations, whereas variable in relation to
the PGO wave, usually occurred 10-40 ms after the PGO
wave. Thus the elicited SFR is unlikely to represent the
spontaneous fractionation seen in REM sleep. Apparently, the SFR
pathway has fewer synapses than does the PGO wave pathway. Also, PGO
wave latencies are increased in REM sleep, whereas SFR latencies are
unchanged. This result argues for important differences in the
circuitry generating PGO waves from that producing SFRs.
The invariant nature of the SFR across states and its short latency
suggest that it may be a simple "reflexive" response. Indeed, the
appearance of the SFR is very similar to that of the neck EMG startle
response in the cat, with respect to latency, duration, and suppression
of muscle activity in response to a moderate-intensity stimulus (28).
Phasic suppression of neck EMG is also associated with spontaneous PGO
waves in the transition from NREM sleep to REM sleep (13, 18, 21). None
of the previous studies examined the precise latencies of PGO waves to
EMG pauses, but the neck EMG pauses resemble spontaneous diaphragm
fractionations as they tend to occur at the same time or after the
related PGO wave, not before the PGO wave. Thus the spontaneous neck
EMG pauses are similar to LFRs, not to SFRs. The phasic inhibitions of
muscle activity are lost in the atonia of the neck EMG during REM
sleep, but phasic decrements of diaphragm muscle activity can be
observed as spontaneous fractionations during REM sleep because the
diaphragm is relatively spared from the atonia that is one of the
defining characteristics of this state.
Additional information about the interrelationship between PGO waves
and SFRs comes from comparing their characteristics in those trials
where they occurred together and those trials where they occurred
separately. There were no significant differences in any measurement
across response classes, i.e., it made no difference if a SFR occurred
with or without a PGO wave and vice versa. This finding provides
additional support for the hypothesis that PGO waves and SFRs are
independently generated events.
Relationship between PGO waves and LFRs.
LFRs, although different from SFRs in latency and response rates across
states, also showed no significant association with PGO waves in most
of the animals. The same animal that showed a significant association
between PGO waves and SFRs also had a significant association between
PGO waves and LFRs in REM sleep. When taken as a whole, however, the
response-rate data support the conclusion that PGO waves and
fractionations are independently generated in all states. The LFR,
which is elicited primarily in REM sleep with a longer latency than the
PGO wave, appears to match the spontaneous fractionation that occurs
normally in REM sleep, because the spontaneous fractionation is also
more common in REM sleep than in other states and occurs more
frequently after the PGO wave than before it (20).
Possible mechanisms for the production of fractionations.
Kohlmeier et al. (17) have found that auditory stimuli produce
hyperpolarizing potentials in masseter motoneurons in
carbachol-produced REM sleep-like atonia but not in the preceding
anesthetized state. A similar mechanism may explain the augmentation of
diaphragm inhibition in REM sleep demonstrated by the increased
occurrence of LFRs. Another possible mechanism for the production of
both short- and long-latency fractionations from a single stimulus is
the presence of both fast- and slow-conducting axons in the pathway.
Kohyama et al. (18) have shown that both fast- and slow-conducting
reticulospinal neurons are involved in producing hindlimb muscle atonia
elicited by electrical stimulation of the pons and medulla in
decerebrate cats. Thus they found both an early and late component of
hindlimb muscle tone suppression, the latencies of which are similar to
those of the short- and long-latency fractionations observed in this
study. We know that the phrenic motoneurons are receiving an
auditory-induced short-latency inhibition in all states as well as a
longer-latency inhibition primarily in REM sleep, but we cannot know
the source(s) of that inhibition without further investigation of the
pathways involved. Perhaps the inhibition of postural muscle tone
present in REM sleep is able to suppress the phrenic motoneurons
briefly when stimulated by an auditory tone. Perhaps the SFR is
produced by a minor activation of the ASR pathway, not enough to cause
awakening or a whole body response, which is the usual measure of
startle. We can only speculate on the exact anatomic pathways involved in the generation of elicited PGO waves and fractionations as seen in
this study, because we did not record or manipulate the areas that may
be involved.
In conclusion, the SFR appears to be a simple, startle-type inhibitory
response of the diaphragm to a tone in waking, NREM sleep, and REM
sleep. Recent studies (23) examining elicited PGO waves and the ASR
have demonstrated that the two events are not as closely related as
previously hypothesized. If the SFR represents a type of startle
response, then it follows that there would be differences between
elicited PGO waves and SFRs, as observed in the present experiment.
Because of its characteristics, we believe that the LFR is not a
startle response but an analog of the spontaneous fractionation.
Regardless of their biological correlates, fractionations and PGO waves
do not appear to be generated by a common phasic event generator.
Further studies on the relationships among phasic events of REM sleep
will require recording and/or stimulating the areas involved in
producing the phenomena to understand better their anatomy and
interconnections.
 |
ACKNOWLEDGEMENTS |
This work was supported by Specialized Center of Research Project
03 [National Heart, Lung, and Blood Institute (NHLBI) Grant HL-42236 to A. I. Pack], by National Institute of Mental Health Grant MH-42903 (to A. R. Morrison), and by NHLBI Training Grant HL-07713 (to W. K. Hunt).
 |
FOOTNOTES |
Address for reprint requests: W. K. Hunt, Laboratories of Anatomy,
School of Veterinary Medicine, Univ. of Pennsylvania, 3800 Spruce
St., Philadelphia, PA 19104-6045 (E-mail:
whunt{at}mail.med.upenn.edu).
Received 21 February 1996; accepted in final form 9 February 1998.
 |
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