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Published in final edited form as:
J Neurophysiol. 2006 November ; 96(5): 2265–2273.
Cholinergic Regulation of the Posterior Medial Thalamic Nucleus
Radi Masri*, Jason C. Trageser*, Tatiana Bezdudnaya, Ying Li, and Asaf Keller
Program in Neuroscience and Department of Anatomy and Neurobiology, University of Maryland
School of Medicine, Baltimore, Maryland
Abstract
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We previously showed that the GABAergic nucleus zona incerta (ZI) suppresses vibrissae-evoked
responses in the posterior medial (POm) thalamus of the rodent somatosensory system. We proposed
that this inhibitory incertothalamic pathway regulates POm responses during different behavioral
states. Here we tested the hypothesis that this pathway is modulated by the ascending brain stem
cholinergic system, which regulates sleep–wake cycles and states of vigilance. We demonstrate that
cholinergic inputs facilitate POm responses to vibrissae stimulation. Activation of the cholinergic
system by stimulation of brain stem cholinergic nuclei (laterodorsal tegmental and the
pedunculopontine tegmental) or by tail pinch significantly increased the magnitude of POm responses
to vibrissae stimulation. Microiontophoresis of the muscarinic receptor agonist carbachol enhanced
POm responses to vibrissae stimulation. Application of carbachol to an in vitro slice preparation
reduced the frequency but not the amplitude of miniature inhibitory postsynaptic currents, indicating
a presynaptic site of action for carbachol. We conclude that the cholinergic system facilitates POm
responses by suppressing GABAergic inputs from ZI. We propose the state-dependent gating
hypothesis, which asserts that differing behavioral states, regulated by the brain stem cholinergic
system, modulate the flow of information through POm.
INTRODUCTION
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Thalamic nuclei can be characterized by the type of information they relay to the neocortex
(reviewed in Sherman and Guillery 2005). Nuclei concerned with transmitting information
from the periphery are referred to as “first-order” nuclei, which include the ventral posterior
medial (VPM) nucleus in the somatosensory system and the lateral geniculate nucleus (LGN)
in the visual system. These nuclei, whose receptive fields are determined by ascending inputs
from the periphery, respond robustly and reliably to peripheral stimulation. In contrast are
“higher-order” nuclei, such as the posterior medial (POm) nucleus in the somatosensory
thalamus and the pulvinar nucleus in the visual system. These nuclei are hypothesized to
transmit information from one cortical area to another, as their receptive fields are determined
by descending cortical inputs (Sherman and Guillery 2001). In anesthetized rats POm neurons
respond poorly to vibrissae stimulation, displaying labile responses that are abolished after
cortical inactivation (Diamond et al. 1992a; Lavallée et al. 2005; Sosnik et al. 2001; Trageser
and Keller 2004). These data support the classification of POm as a higher-order nucleus.
We previously demonstrated that POm neurons are regulated by feedforward inhibition from
the GABAergic nucleus zona incerta (ZI): When ZI activity is suppressed, POm neurons
respond robustly and at short latencies (Trageser and Keller 2004). The responses revealed by
Address for reprint requests and other correspondence: A. Keller, Department of Anatomy and Neurobiology, University of Maryland
School of Medicine, 20 Penn Street, Baltimore, MD 21201 (E-mail:
[email protected])..
*R. Masri and J. C. Trageser contributed equally to this work.
GRANTS
This work was supported by joint Public Health Service/National Institute of Neurological Disorders and Stroke Grants NS-051799 and
NS-31078 to A. Keller and National Institutes of Health Fellowship F31-NS-046123 to J. C. Trageser.
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suppressing ZI are determined by direct inputs from the trigeminal nuclei because they are
resistant to cortical inactivation (Lavallée et al. 2005). Thus ZI regulates POm responses,
determining whether POm functions as a first-order or a higher-order nucleus.
We recently demonstrated that both spontaneous and vibrissae-evoked activity of ZI neurons
are suppressed by cholinergic inputs from the brain stem reticular activating system (Trageser
et al. 2006). Because these cholinergic inputs are responsible for transitions between behavioral
states, such as sleep and alertness (Steriade 2003), we suggested a state-dependent gating
hypothesis, where differing behavioral states—regulated by the brain stem cholinergic system
—modulate ZI activity, thereby modulating the response properties of POm neurons.
A prediction of this hypothesis is that the cholinergic reticular activating system regulates the
responses of POm neurons by suppressing the incertothalamic inhibitory inputs. Our aim in
this study was to test this prediction. Some of the findings reported here were previously
presented in abstract form (Masri et al. 2005).
METHODS
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We used 62 female Sprague–Dawley rats weighing 250 to 350 g for in vivo recordings.
Anesthetized rats were placed in a stereotaxic device for the duration of the experiments. All
incision sites were infused with local anesthetics. We maintained body temperature at 37°C
with a servo-controlled heating blanket. All procedures adhered strictly to institutional and
federal guidelines.
Halothane anesthesia (15 rats)
We anesthetized rats with halothane (3%) administered through a nosepiece. The trachea was
then cannulated and halothane was administered through a tracheal tube. We monitored
electroencephalographs (ECoGs) to assess the stage of anesthesia and maintained the rats at
stage III/3– 4 (Friedberg et al. 1999).
Fentanyl analgesia (5 rats)
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We anesthetized the animals initially with halothane (3%) and inserted a venous catheter in
the jugular vein for drug delivery and a second catheter in the femoral artery for monitoring
blood pressure and heart rate. After the insertion of catheters, we discontinued the
administration of halothane and infused the rats intravenously with fentanyl (10 μg · kg−1
·h−1) for the rest of the experiment. We immobilized the rats with pancuronium bromide (1.5
mg · kg−1 ·h−1) and they were then artificially respired with a positive-pressure respirator at
90 breaths/min. We monitored blood pressure, heart rate, and ECoGs throughout the
experiment to ensure that the animal was in no pain or distress.
Urethan anesthesia (42 rats)
Rats received an intraperitoneal injection of urethan (1.5 g/kg). We monitored ECoGs to assess
the stage of anesthesia and maintained the rats at stage III/3– 4 (Friedberg et al. 1999). We
administered supplementary injections (150 mg/kg) as needed.
In vivo POm extracellular recording
We obtained extracellular unit recordings with quartz-insulated platinum electrodes (2 to 4
MΩ) from POm neurons. We advanced electrodes in the right hemisphere based on stereotaxic
coordinates (AP 3.2, ML 2.6, relative to Bregma; Paxinos and Watson et al. 1998). We digitized
waveforms (40 kHz) recorded from well-isolated units through a Plexon (Dallas, TX) data
acquisition system and sorted units off-line with Plexon’s Off-line Sorter, using dual thresholds
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and principal component analyses. We generated autocorrelograms with Neuroexplorer
software (Littleton, MA) to confirm that we obtained recordings from single units.
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We marked recording sites with electrolytic lesions (5 μA for 10 s) at the end of the experiment
and then deeply anesthetized the rats with sodium pentobarbital (60 mg/kg) and perfused them
transcardially with buffered saline followed by 4% buffered paraformaldehyde. We obtained
coronal brain sections (70 μm thick) and Nissl-stained the sections to identify recording and
stimulation sites.
LDT–PPT stimulation
We targeted a concentric bipolar stimulating electrode (250 μM diameter; FHC, Bowdoin, ME)
to the laterodorsal tegmentum (LDT) and the pedunculopontine tegmentum (PPT) nuclei, based
on stereotaxic coordinates (AP 8 –9.0, ML 0.5–1.5, 5– 6.0 mm deep). Electrical stimulation
(200 μA) consisted of 200-μs pulses delivered at 100 Hz for 1 s.
Tail pinch
We pinched the midpoint region of the tail using a plastic clamp (Samco Silicone Products,
Warwickshire, UK). We recorded individual POm neuronal responses to vibrissae stimulation
and changes in ECoGs before, during, and after applying the tail pinch.
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Vibrissae stimulation
After isolation of vibrissae-sensitive neurons in POm, we stimulated vibrissae with air puffs
delivered through a tube (0.5-mm diameter) by a computer-controlled Picospritzer (General
Valve, Fair-field, NJ). We delivered air puffs at 0.5, 2, 5, 8, or 11 Hz with a pressure of 60 psi,
resulting in vibrissae deflections of about 30°. We deflected vibrissae in their preferred
direction, i.e., the direction that elicited the shortest-latency, highest-magnitude response. We
simultaneously deflected at least four vibrissae to evoke responses in POm neurons.
Carbachol iontophoresis
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We microiontophoretically applied carbachol to individual POm neurons through a multibarrel
pipette attached to a carbon fiber used for single-unit recordings (1 to 3 MΩ, Carbostar, Kation
Scientific, Minneapolis, MN). Barrels were filled with carbachol (100 μM in saline) and 4%
pontamine sky blue, and a retaining current (−10 to −12 nA) was applied through a current
generator (Model 6400A, Dagan, Minneapolis, MN). After isolating a vibrissae-sensitive
neuron, we stimulated the vibrissae with air puffs (50-ms duration) delivered through a tube
(0.5-mm diameter) and a computer-controlled Picospritzer. We recorded neuronal responses
to 0.5-Hz vibrissae stimulation for 3 min and then applied +20 to +50 nA of current for 3 min
to eject carbachol, while applying a balancing current in another barrel filled with saline.
At the end of the experiment we marked the recording sites by ejecting pontamine sky blue
from the pipette by applying current (−20 μA) for 20 min. We then deeply anesthetized the
animals with sodium pentobarbital (60 mg/kg) and perfused them transcardially with buffered
saline followed by 4% buffered paraformaldehyde. We obtained coronal brain sections (80
μm thick) and stained them with neutral red to identify recording sites.
Data analysis
We isolated single units off-line with Off-line Sorter, as described above. We exported time
stamps of well-isolated units and of stimulus triggers to Matlab (The MathWorks, Natick, MA)
for analyses using custom-written algorithms. We constructed peristimulus time histograms
(PSTHs, 1-ms bins) and defined significant stimulus-evoked responses as PSTH bins whose
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response magnitude significantly exceeded (99% confidence interval) spontaneous activity
levels, computed from a 200-ms period preceding the stimuli.
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We defined response onset as the first two consecutive bins (post-stimulus) displaying
significant responses (defined as above) and defined response offset as three consecutive bins
in which response magnitude fell below the 99% confidence interval. We defined response
magnitude as the total number of spikes per stimulus occurring between response onset and
offset. We performed statistical analyses in SPSS (SPSS, Chicago, IL) and assessed, in
individual neurons, changes occurring in response magnitude and spontaneous activity using
the Student’s t-test or the nonparametric Wilcoxon signed-ranks test; P <0.05 was considered
significant.
In vitro POm recordings
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We anesthetized 23 Sprague–Dawley rats, 12 to 27 days old, with ketamine (30 mg/kg);
removed the brains; and prepared 400-μm-thick coronal slices. Next, we obtained whole cell
patch-clamp recordings with an EPC10 amplifier (HEKA Elektronik, Lambrecht, Germany),
digitized at 20 kHz using Pulse software (HEKA), and stored on a personal computer. The
impedances of the patch electrodes were 3 to 5 MΩ. We recorded action-potential insensitive,
miniature inhibitory postsynaptic currents (mIPSCs), by using a high-chloride pipette solution
containing (in mM) 100 K-gluconate, 60 CsCl, 10 HEPES, 1 MgCl2, 2 MgATP, 0.3 Tris-GTP,
1 BAPTA, and 5 biocytin (pH adjusted to 7.3). The extracellular solution contained, in mM,
124 NaCl, 3 KCl, 25 NaHCO3, 2 CaCl2, 1.3 MgSO4, 5 BES, and 15 glucose. We obtained the
following agents from RBI-Sigma (Natick, MA) and bath-applied them to the perfusate:
carbachol (2 μM), D-2-amino-5-phosphopentanoic acid (AP5, 50 μM), tetrodotoxin (TTX, 1
μM), and 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX, 20 μ M).
We analyzed recorded waveforms off-line with MiniAnalysis software (Synaptosoft, Decatur,
GA). To calculate resting membrane potential (Vm) and input resistance (Rin) we applied a
series of voltage commands and plotted the current–voltage relationships (I–V curve). We
estimated Rin from the slope of the I–V curve and defined the Vm as the I–V curve’s intersection
with the abscissa. We analyzed the kinetics of mIPSCs by averaging the waveforms and fitting
the decay (10 –90%) with a single exponential.
Statistical comparisons were performed with unpaired or paired (for the same cell) Student’s
t-test or the nonparametric Kolgomorov–Smirnov statistic (K-S test); P < 0.05 was considered
significant. We present data as means ± SE.
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We filled cells with biocytin through the recording pipette and fixed slices overnight in a
buffered solution containing 4% paraformaldehyde. To visualize cells and to confirm that all
recorded cells were in POm we reacted sections with the ABC Elite kit (1:1,000; Vector Labs,
Burlingame, CA) and 3,3′-diaminobenzidine (DAB; 0.5 mg/ml), urea H2O2 (0.3 mg/ml), and
CoCl2 (0.2 mg/ml) in 0.05 M Tris buffer containing 0.5 M NaCl.
RESULTS
POm responses to vibrissae stimuli are labile
To allow comparisons with previous studies that used a variety of anesthetics, we characterized
the responses of POm neurons under the following conditions: fentanyl analgesia (n = 21
neurons), urethan anesthesia (n = 53), or halothane anesthesia (n = 22). In total, we recorded
responses from 96 well-isolated POm neurons to vibrissae stimuli delivered at 0.5, 2, 5, 8, or
11 Hz (see METHODS). POm neurons displayed labile, long-latency responses to repetitive
vibrissae deflections, with increasing failure rates as stimulation frequency increased. Figure
1A depicts a representative example of a neuron recorded under fentanyl analgesia. This neuron
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displayed weak, long-latency responses (33 ms) to repetitive vibrissae deflections. Response
magnitude decreased as stimulation frequency was increased. Figure 1B depicts similar
responses recorded from a POm neuron under urethan anesthesia. In this cell response
magnitude was larger and response latency was shorter, compared with the neuron depicted in
Fig. 1A; however, we found no significant differences (P > 0.05) in the response magnitude,
spontaneous activity rates, or response latency between the population of neurons recorded
under the different anesthetics.
POm neurons responded with low probability and 75% of the neurons produced no significant
responses to vibrissae stimulation at 11 Hz. Further, the responses were highly variable, with
onset latencies ranging from 5 to 69 ms; coefficient of variation (CV): 0.5 Hz = 0.58; 2 Hz =
0.59; 5 Hz = 0.49; 8 Hz = 0.82; 11 Hz = 0.82. Thus consistent with previous reports (Diamond
et al. 1992b; Lavallée et al. 2005; Sosnik et al. 2001; Trageser and Keller 2004), POm responses
recorded under a variety of anesthetics are highly labile.
LDT–PPT stimulation gates POm
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Brain stem cholinergic neurons in the laterodorsal tegmental nucleus (LDT) and the
pedunculopontine tegmental nucleus (PPT) are causally responsible for transitions in sleep–
wake cycles (Steriade 2003). During sleep or anesthetized states, cortical EEGs show highamplitude, slow oscillations, whereas during arousal and activated states, high-frequency
oscillations are evident (Moruzzi and Magoun 1949; Steriade and Timofeev 2003). These
transitions in EEG activity can be mimicked by stimulating the LDT–PPT complex in
anesthetized animals (Castro-Alamancos and Oldford 2002; Steriade 2003).
To test the hypothesis that the cholinergic reticular activating system gates POm responses,
we stimulated LDT–PPT (Fig. 2F) while recording from POm neurons in response to repetitive
vibrissae stimulation at 2, 5, 8, or 11 Hz. We performed these experiments under urethan
because urethan induces distinct, high-amplitude, low-frequency cortical oscillations similar
to those observed during slow-wave sleep. These oscillations are evident in the cortical ECoG
(Fig. 2, “Control”). After LDT–PPT stimulation these high-amplitude oscillations are replaced
with low-amplitude, high-frequency oscillations lasting about 7 s (Fig. 2A, “Test”). Thus
consistent with previous reports, LDT–PPT stimulation mimics the transitions in ECoG
recordings observed during sleep–wake cycles (Castro-Alamancos and Oldford 2002;Steriade
2003).
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We tested the effects of LDT–PPT stimulation on 19 POm neurons. Four of these neurons
failed to generate statistically significant responses to vibrissae deflections delivered at 2 Hz,
either before, during, or after LDT–PPT stimulation. These four neurons, recorded from three
different animals, were located in close proximity to other POm neurons that did produce
significant responses. Figure 2B depicts PSTHs constructed from a representative neuron tested
at each frequency. Under control conditions, this neuron responded poorly to vibrissae
stimulation at all frequencies. In contrast, after LDT–PPT stimulation, the neuron responded
robustly and with high probability to vibrissae stimulation, with a fourfold increase in response
probability across frequencies (Fig. 2B, “Test”).
Figure 2C depicts population PSTHs, constructed from data recorded from 15 POm neurons.
Under control conditions, POm responses to vibrissae stimuli were variable and labile; two of
these neurons failed to produce significant responses to 2-Hz stimulation and two others failed
to produce significant responses to 11-Hz stimuli. After LDT–PPT stimulation the population
response probability increased (Fig. 2C) and, as a result, the variability in response latency
decreased, especially in response to stimulation at higher frequencies (Fig. 2D) [e.g., CVs: 8
Hz = 0.45 (54% decrease); 11 Hz = 0.46 (46% decrease)]. Furthermore, the neurons that failed
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to respond to vibrissae stimulation at 2 and 11 Hz under control conditions responded robustly
to these stimuli after LDT–PPT stimulation.
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After LDT–PPT stimulation response magnitudes for all frequencies also significantly
increased (P ≤0.001; Wilcoxon test; spikes per stimulus pre/post values: 2 Hz, 0.24 ± 0.39/
0.42 ± 0.53; 5 Hz, 0.09 ± 0.09/0.19 ± 0.16; 8 Hz, 0.01 ± 0.01/0.13 ± 0.090; 11 Hz, 0.001 ±
0.001/0.014 ± 0.005). Figure 2E depicts the effects of LDT–PPT stimulation on response
magnitudes of individual neurons. LDT–PPT stimulation did not significantly affect response
duration (P > 0.05) or spontaneous activity rates (P > 0.05).
An additional method for activating the brain stem cholinergic system is the tail pinch (Kayama
et al. 1991). Similar to electrical stimulation, tail pinch resulted in a transition in the cortical
ECoG from high-amplitude, low-frequency oscillations, to low-amplitude, high-frequency
oscillations (Fig. 3A). Figure 3B depicts PSTHs constructed from responses of a representative
POm neuron. Before the tail pinch, the neuron displayed labile, low-probability responses to
vibrissae stimulation. However, after the tail pinch, the neuron responded to vibrissae
stimulation (at 2 Hz) with increased response probability and increased response magnitude
(pre/post values: 0.40/0.85 spikes per stimulus). We obtained similar responses from 19
additional neurons (pre/post: 0.19 ± 0.25/0.48 ± 0.39 spikes per stimulus; P < 10−4). Figure
3C depicts the effects of tail pinch on response magnitudes of individual neurons.
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These findings suggest that activating the cholinergic brain stem system, either by LDT–PPT
stimulation or by tail pinch, enhances the flow of information through POm, allowing neurons
with weak responses to respond more robustly and reliably to vibrissae stimulation.
Carbachol increases the response magnitude of POm cells
Stimulating the reticular activating system evokes acetylcholine (ACh) release in widespread
brain structures, including various dorsal and ventral thalamic nuclei and the cerebral cortex
(reviewed in Steriade 2003). To test whether cholinergic activity directly affects neuronal
activity in POm we used microiontophoresis of the muscarinic receptor agonist carbachol onto
individual, well-isolated POm neurons. We recorded from 21 neurons that responded to
stimulation of the vibrissae with air puffs delivered at 0.5 Hz. Fifteen of the neurons were
recorded under urethan (nine rats) and the remaining six under halothane (three rats).
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Figure 4A depicts a representative plot of PSTH versus time constructed from a POm neuron
recorded before, during, and after carbachol application. Carbachol application (3 min)
produced a significant (P = 0.003) increase in response magnitude (from 0.36 to 0.65 spikes/
stimulus, a 79% increase). This increase was completely reversible, with responses returning
to predrug magnitudes 8 min after carbachol application was terminated. Similar significant
increases in the magnitude of vibrissae-evoked responses occurred in 12 of 21 neurons (57%),
with increases averaging 83% ( ± 60%). The magnitude of the evoked responses was reduced
in one neuron and was not affected significantly in the remaining eight neurons (Fig. 4B).
In some POm neurons carbachol also significantly increased spontaneous firing rates. In the
example depicted in Fig. 4A the neuron had an average spontaneous firing rate of 0.3 Hz, a
value that was significantly (P < 10−4) increased (to 1.5 Hz) during carbachol application.
Similar significant increases in spontaneous firing occurred in 10 of 21 neurons (48%), with
facilitation averaging 255% (± 223%). Spontaneous firing was reduced in two other neurons
and was not significantly affected in the remaining cells. Increases in spontaneous firing rates
were always accompanied by increases in the magnitude of evoked responses. We found no
correlation (P > 0.48; r = 0.16, Pearson product) between carbachol’s effects and any of the
following metrics: precarbachol spontaneous firing rate, precarbachol response magnitude, or
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response onset latency. Carbachol-sensitive and -insensitive neurons were intermingled
throughout POm.
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These findings demonstrate that local application of a cholinergic agonist significantly
enhances both the spontaneous and sensory-evoked activity in a significant population of POm
neurons.
Presynaptic regulation of GABA release in POm
GABAergic terminals from ZI that target POm neurons express a high density of the
presynaptic muscarinic m2 receptors (Bartho et al. 2002), receptors that presynaptically
regulate γ-aminobutyric acid (GABA) release in a variety of CNS pathways (Baba et al.
1998; Barnabi and Cechetto 2001; Lupica et al. 1992). We therefore hypothesized that ACh
acts presynaptically to suppress GABA release onto POm neurons.
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To test this hypothesis we recorded, in vitro, mIPSCs in voltage-clamp mode (−65 mV) in the
presence of TTX (1 μM), AP5 (50 μM), and CNQX (20 μM). Gabazine (GABAA receptor
antagonist; 10 μM) completely suppressed all mIPSCs, indicating that they were mediated by
GABAA receptors. Processes that affect the frequency but not the amplitude of mIPSCs involve
presynaptic but not postsynaptic mechanisms (Scanziani et al. 1995). Therefore if carbachol
reduces mIPSC frequencies, but not their amplitude, this would support a presynaptic
mechanism of action.
Figure 5A depicts a representative sample of mIPSCs recorded in control conditions (left
traces) and during application of carbachol (2 μM; right traces). Because of the high-chloride
content of the recording pipettes, mIPSCs are evoking inward currents. The cumulative
probability plots in Fig. 5B depict the effects of carbachol on the amplitudes and frequencies
of mIPSCs recorded from this neuron. There was no significant change in mIPSC amplitudes
after carbachol application (K-S test, P = 0.68). By contrast, carbachol resulted in a rightward
shift in the cumulative distribution of interevent intervals, indicating a significant decrease in
mIPSC frequencies (Fig. 5B, P < 10−4, K-S test).
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The frequency of mIPSCs was significantly (P = 10−4, K-S test) suppressed in 25 of 33 neurons
(76%). On average, mIPSC frequencies were reduced from 0.26 Hz (±0.23) to 0.09 Hz (±0.07),
a decrease of 236 ±385% (P = 0.007). In most of these neurons (14/25; 56%), there were no
significant changes in the amplitudes of mIPSCs, suggesting that carbachol acted only
presynaptically to suppress GABA release (Fig. 5C). In the remaining 11 cells (44%), carbachol
also significantly (P = 10−4, K-S test) suppressed the amplitudes of mIPSCs. On average,
amplitudes decreased from 17.9 ± 4.8 to 16.1 ± 4.8 pA, a decrease of 10.0 ± 8.4% (P = 0.01,
t-test). This suggests that, in these 11 neurons, carbachol may have had both presynaptic and
postsynaptic effects.
To further test for carbachol’s site of action, we compared, in the same group of neurons, the
kinetics of mIPSCs. We reasoned that a purely presynaptic effect would have no effect on their
decay time constants. Figure 5D depicts averaged, scaled, and superimposed mIPSCs recorded
from a single neuron before and during carbachol application. In this example, and in all cells
tested, carbachol had no significant effects on mIPSC kinetics (P = 0.4). On average, decay
time constants were τcontrol = 14.2 ± 6.7 and τcarbachol = 15.7 ± 7.1, values that were
indistinguishable (P = 0.12). Furthermore, carbachol application did not significantly affect
the estimated resting membrane potentials (P = 0.21; ΔVm = 0.7 ± 2.4 mV) or estimated input
resistances (P = 0.08; ΔRin = 13.8 ± 28.5 MΩ). These findings suggest that carbachol had no
discernible effect on postsynaptic properties.
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DISCUSSION
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Our goal was to test the hypothesis that the cholinergic reticular activating system regulates
the responses of POm neurons by acting on incertothalamic inhibitory inputs. We attempted
to falsify this hypothesis by testing the validity of several predictions; all results were consistent
with our underlying hypothesis.
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Direct stimulation of the reticular activating system resulted in significant increases in the
magnitude of POm responses to vibrissae inputs. We obtained similar results by activating this
cholinergic system with a tail pinch. We recognize that LDT–PPT stimulation may
inadvertently activate fibers of passage and nearby nuclei. Further, both tail pinch and LDT–
PPT stimulation may directly or indirectly affect brain regions that could influence POm
activity (Steriade and Llinás 1988). For example, cholinergic inputs from LDT–PPT may
directly affect neurons in the spinal trigeminal subnucleus interpolaris, which provides a major
afferent input to POm (Timofeeva et al. 2005). For these reasons we tested, through use of both
in vivo and in vitro experiments, the direct effects of cholinergic agents on POm neurons. In
vivo, carbachol application enhanced the responses of most POm neurons, mimicking the
effects of LDT–PPT stimulation and the tail pinch. In vitro, carbachol presynaptically
suppressed GABAergic inputs to POm neurons. We recently demonstrated that the
cholinoceptive, GABAergic inputs to POm arise from the zona incerta (see following text;
Trageser et al. 2006).
Thus notwithstanding the caveats stated above, converging data from this and previous studies
are consistent with the hypothesis that a critical component in the regulation of higher-order
thalamic nuclei, such as POm, involves cholinergic modulation of the incertothalamic pathway.
Cholinergic effects on POm neurons
Activation of the brain stem cholinergic system facilitated POm responses to vibrissae
stimulation, an effect that was mimicked by the direct iontophoresis of carbachol onto
individual POm neurons. Roughly half of the neurons were thus facilitated, indicating that
POm may contain several neuronal populations that have different sensitivities to cholinergic
agonists. This conjecture is consistent with previous reports on POm heterogeneity (e.g.,
Lavallée et al. 2005; Varela and Sherman 2004). For example, we previously showed that POm
contains a population of neurons responding to both cortical and peripheral inputs and a second
population that responds only to cortical inputs (Trageser and Keller 2004).
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Alternatively, the lack of cholinergic effects may simply reflect methodological limitations.
For example, LDT–PPT stimulation may have failed to activate cholinergic inputs to the
recorded cells or insufficient concentrations of carbachol may have been realized through
iontophoresis.
In addition to facilitating POm responses to vibrissae stimulation, carbachol increased the
spontaneous firing rate of POm neurons. However, spontaneous firing rates were not
significantly affected by LDT–PPT stimulation. Whether this discrepancy reflects different
mechanisms for regulating evoked versus spontaneous activity in POm remains to be
determined.
Mechanisms of cholinergic regulation
Like its action in POm, ACh enhances spontaneous and evoked activity of VPM neurons
(Castro-Alamancos 2004). In VPM, as in other first-order thalamic nuclei, ACh is thought to
act by hyperpolarizing inhibitory cells and depolarizing principal neurons (Steriade 2003;
Varela and Sherman 2004). Because LDT–PPT projects to both POm and VPM (Hallanger et
al. 1987), ACh may facilitate POm neurons through a similar, depolarizing mechanism. Indeed,
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the muscarinic agonist methylcholine (250 μM), applied in vitro, depolarizes most POm
neurons (Varela and Sherman 2004). In contrast, we show that the cholinergic agonist
carbachol (2 μM) has no effect on Vm, Rin, or mIPSCs kinetics of POm neurons, arguing against
a postsynaptic action for carbachol. We cannot exclude the possibility that at higher
concentrations carbachol may have postsynaptic effects or that space-clamp limitations
obscured these effects. We also note that our in vitro data were obtained from animals that are
younger than those used in the in vivo studies. To our knowledge, there are no reported
differences in the anatomical or electrophysiological properties of the relevant circuit elements.
Nevertheless, we cannot exclude the possibility of such differences.
These caveats notwithstanding, converging evidence supports the hypothesis that cholinergic
regulation of POm occurs in large part through suppression of inhibitory, incertothalamic
inputs. We recently demonstrated that activation of the brain stem cholinergic system in vivo
and carbachol application in vitro and in vivo suppresses spontaneous and vibrissae-evoked
activity of ZI neurons that project to POm (Trageser et al. 2006). Our current in vitro findings
support the hypothesis that ACh also acts by suppressing GABA release from inhibitory
terminals in POm.
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These terminals may arise from any of the three sources of GABAergic inputs to POm, the ZI,
the thalamic reticular nucleus (TRN), or the anterior pretectal nucleus (APT) (Bokor et al.
2005). At least one line of evidence strongly implicates ZI terminals; their axon terminals
express a high density of the presynaptic muscarinic m2 receptors (Bartho et al. 2002), receptors
that presynaptically regulate GABA release in a variety of CNS pathways (Baba et al. 1998;
Barnabi and Cechetto 2001; Lupica et al. 1992). In contrast, TRN axon terminals are reported
not to express m2 receptors (Cox and Sherman 2000). Whether APT terminals in POm express
m2 receptors remains to be determined.
Thus ACh regulates sensory transmission in POm through at least three mechanisms: regulation
of ZI firing (Trageser et al. 2006), presynaptic regulation of GABA release (present finding),
and regulation of TRN firing (Fuentealba and Steriade 2005). This suppression will lead to the
disinhibition of POm neurons, promoting enhanced responses to peripheral sensory
stimulation.
The state-dependent gating hypothesis
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POm neurons receive potent tonic and feedforward GABAergic inputs from ZI (Bartho et al.
2002; Lavallée et al. 2005). Inactivating ZI disinhibits POm neurons and allows them to
respond robustly to sensory stimuli (Trageser and Keller 2004; see also Lavallée et al. 2005).
Cholinergic inputs from the reticular activating system control this incertothalamic regulatory
mechanism (Trageser et al. 2006; present findings).
LDT–PPT forms part of the brain stem–activating system that regulates sleep–wake cycles and
states of vigilance (Steriade 2003). The fact that cholinergic inputs from these nuclei regulate
activity in the incertothalamic pathway suggests that behavioral states regulate this system. We
propose a state-dependent gating hypothesis, in which behavioral states modulate ZI’s
inhibitory regulation of POm. This regulation may allow POm to function in both relay modes
proposed by Sherman and Guillery (2001): 1) a first-order mode, in which POm relays sensory
information from the periphery to the cortex; and 2) a higher-order mode, in which POm relays
information between cortical areas (see also Trageser and Keller 2004). During slow-wave
sleep (and anesthetic states), when cholinergic activity is diminished, POm neurons fail to
respond to ascending sensory inputs, and may function primarily as a higher-order relay. By
contrast, increased cholinergic activity during wakefulness and enhanced vigilance suppresses
ZI-mediated inhibition, thereby ungating POm responses to ascending inputs. We therefore
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Masri et al.
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predict that during this state POm functions as a first-order relay. Findings presented here are
fully consistent with this hypothesis.
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FIG. 1.
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Response probability of posterior medial (POm) neurons decreases as stimulus frequency
increases. A: rasters (top) with peristimulus time histograms (PSTHs, bottom) constructed from
recordings of a single POm neuron in response to a 50-ms air puff delivered to the vibrissae at
time t = 0. Air puffs were delivered at 2, 5, 8, or 11 Hz. Recordings obtained under fentanyl
analgesia. B: stimulation and recording as in A, except that in this POm neuron, the recordings
were obtained under urethan anesthesia. POm neurons produced weak and labile responses to
vibrissae stimulation >2 Hz.
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FIG. 2.
Laterodorsal tegmentum–pedunculopontine tegmentum (LDT–PPT) stimulation increases
POm response probability. A: electrocorticogram (ECoG), spikes, and stimulus time stamps
(Stimuli) recorded before and after LDT–PPT stimulation. Box delineates period after LDT–
PPT stimulation (vertical black bar). Note, in the ECoG, transition from low-frequency, highamplitude oscillations to high-frequency, low-amplitude oscillation after LDT–PPT
stimulation, and the increase in single-unit POm responses to stimulus presentations during
this period. B: PSTHs constructed from a single unit recorded in POm before (Control) and
after LDT–PPT stimulation (Test). C: group PSTHs constructed from POm neurons recorded
before (Control) and after LDT–PPT stimulation (Test). D: coefficient of variation of response
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latencies plotted as a function of vibrissae stimulation frequency before (open symbols) and
after (filled symbols) LDT–PPT stimulation. Coefficient of variation was significantly reduced
at 8- and 11-Hz stimulation frequencies. E: plots depicting magnitudes of responses to 2-Hz
vibrissae deflections recorded from individual neurons, before (Control) and during (Test)
LDT–PPT stimulation. Response magnitude significantly increased for all frequencies (P
≤0.001; Wilcoxon signed-ranks test). F: location of LDT–PPT stimulation sites (open circles),
plotted on maps modified from Paxinos and Watson (1998).
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FIG. 3.
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Tail pinch stimulation increases POm response probability. A: ECoG transitions from highamplitude, low-frequency oscillation before tail pinch to low-amplitude, high-frequency
oscillation after tail pinch. B: PSTHs constructed from a POm neuron in response to vibrissae
stimuli delivered at 2 Hz before (Control) and after tail pinch. After tail pinch the neuron
responded at high probability with a greater than 2-fold increase in response magnitude (pre/
post values: 0.40/0.85 spikes per stimulus). C: plots depicting magnitudes of responses to 2Hz vibrissae deflections recorded from individual neurons, before (Control) and during tail
pinch. Response magnitude significantly increased for all frequencies (P ≤10−4; Wilcoxon).
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FIG. 4.
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Carbachol increases POm response probability. A: cumulative PSTH vs. time plot constructed
from responses of a POm neuron to vibrissae stimulation, before and after the iontophoresis
of carbachol (100 μM). This analysis depicts the dynamics of the PSTH over time and is
generated by calculating multiple PSTHs using a sliding window in time. Each histogram is
shown as a vertical stripe with colors representing response magnitude. Horizontal axis
represents the position of the sliding window in time. Carba-chol increased the response
magnitude by 79% (P = 0.003). Apparent shift in latency during carbachol application is not
significant and is exaggerated by the sliding window and by filtering. B: plots depicting
magnitudes of responses to 0.5-Hz vibrissae deflections recorded from individual POm
neurons, before (Control) and during carbachol iontophoresis.
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FIG. 5.
Effects of carbachol on miniature inhibitory postsynaptic currents (mIPSCs) of POm neurons.
A: whole cell voltage-clamp recording of a POm neuron before and after bath application of
carbachol. Carbachol suppressed the frequency of mIPSCs recorded. B: cumulative probability
plots of mIPSCs amplitude (left) and frequency (right) before (control) and after carbachol
application. C: summary of the effect of carbachol on the amplitude and frequency of mIPSCs
in individual POm neurons. D: superimposed and scaled averages of mIPSC traces before and
after carbachol application.
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