Abstract
During rhythmic movements, central pattern generators (CPGs) trigger bursts of motor activity with precise timing. However, the number of neurons that must be activated within CPGs to generate motor output is unknown. In the mammalian breathing rhythm, a fundamentally important motor behavior, the preBötzinger Complex (preBötC) produces synchronous population-wide bursts of activity to control inspiratory movements. We probed mechanisms underlying inspiratory burst generation in the preBötC using holographic photolysis of caged glutamate in medullary slices from neonatal mice. With stimulation parameters determined to confine photoactivation to targeted neurons, simultaneous excitation of 4–9 targeted neurons could initiate ectopic, endogenous-like bursts with delays averaging 255 ms, placing a critical and novel boundary condition on the microcircuit underlying respiratory rhythmogenesis.
Introduction
Breathing is a vital behavior regulated by hindbrain neural circuits that generate near synchronous bursts of action potentials in populations of neurons that ultimately drive inspiratory and expiratory movements. To adjust respiratory muscle activity when metabolic demand changes or during production of critical reflexes such as coughing or gagging, these hindbrain neural circuits must rapidly change timing through temporal control of burst initiation. The preBötzinger Complex (preBötC), a bilateral medullary population of ∼1000 neurons/side, is essential for generating inspiratory bursts in vitro and in vivo (Feldman and Del Negro, 2006; Tan et al., 2008; Feldman et al., 2013). Inspiratory bursts can be initiated by injection of glutamate analogs into the ventral respiratory group in vivo (McCrimmon et al., 1986) or the preBötC in vitro (Del Negro et al., 2009), which asynchronously excite an unknown number of neurons. We hypothesized that rapid changes in burst timing necessary for lability in breathing rhythm can result from excitation and propagation of activity from a few preBötC neurons. Thus, we tested whether simultaneous suprathreshold excitation of a small number of preBötC neurons during the quiescent interburst interval could trigger a premature, i.e., ectopic, inspiratory burst.
Simultaneous excitation of multiple neurons cannot be accomplished with sequential techniques, e.g., acousto-optical or galvanometer deflectors, for photostimulation with a single laser beam (Zahid et al., 2010). To identify the inspiratory burst initiation threshold, we used holographic photolysis of MNI-glutamate (a caged glutamate compound; Lutz et al., 2008; Zahid et al., 2010) to simultaneously induce action potential firing in several inspiratory-modulated preBötC neurons in medullary slices generating a respiratory-related rhythm.
Materials and Methods
Slice preparation and electrophysiology.
Experiments followed European Union and Institutional Guidelines of the Care and Use of Laboratory Animals (Council Directive 86/609 EEC) and protocols approved by the Office for the Protection of Research Subjects (University of California Animal Research Committee). We cut 550-μm-thick transverse medullary slices with preBötC at the rostral surface from neonatal C57BL/6 mice (postnatal days 0–5) of either sex (Smith et al., 1991; Ruangkittisakul et al., 2011). To identify inspiratory-modulated neurons, slices were loaded with 60 μm Oregon Green BAPTA-1 AM (Invitrogen) for 30–60 min (Mukamel et al., 2009).
Slices were perfused with 27°C ACSF at 2.5 ml/min in a 0.5 ml chamber and mounted rostral side up in a fixed-stage microscope (Olympus BX50WI). ACSF contained (in mm): 124 NaCl, 3 KCl, 1.5 CaCl2, 1 MgSO4, 25 NaHCO3, 0.5 NaH2PO4, and 30 d-glucose, equilibrated with 95% O2 and 5% CO2 (27°C, pH = 7.4). A recycling perfusion system (5–10 ml) allowed continuous circulation of MNI-glutamate (500 μm, Tocris Bioscience). Extracellular potassium was raised to 9 mm, and respiratory motor output was recorded from a XIIn or XII motor nucleus using suction electrodes and a MultiClamp 700B (Molecular Devices), filtered at 2–4 kHz, digitized at 10 kHz, full-wave rectified, and smoothed. Digitized data were analyzed using custom procedures written for IgorPro (Wavemetrics) and Matlab 2010a (The Mathworks). Before each experiment, we monitored the slice preparation for 30 min to ensure that XIIn frequency and magnitude reached steady state. In select experiments, tetrodotoxin (1 μm; Tocris Bioscience) was bath applied.
Whole-cell and loose-patch recordings were performed using a MultiClamp 700B. Intracellular solution contained (in mm): 135 KGluconate, 1.1 EGTA, 5 NaCl, 0.1 CaCl2, 10 HEPES, 2 MgATP, and 0.3 Na3GTP. In whole-cell current-clamp recordings, membrane potentials were brought to −70 mV using a negative bias current. In voltage clamp, holding potential was −65 mV. For loose-patch recordings, action potential (AP) shape was monitored to detect stability of the patch. For whole-cell recordings, experiments in which variations in series and input resistance exceeded the initial value by 25% were discarded.
Fluorescence imaging.
For Ca2+ imaging, excitation light (488 nm; 10 nm bandwidth) was provided by a 75 W xenon lamp passing through a monochromator (Optoscan, Cairn Research), and fluorescence images were collected with a 12-bit cooled (−30°C) CCD camera (CoolSNAP HQ2, Roper Scientific). Emission wavelengths were obtained using a HQ535/50M filter (Chroma Technology). MetaMorph (Molecular Devices) was used to acquire (10 Hz, 50 ms exposure time) and store images for analysis. Background fluorescence was subtracted, and Ca2+ responses were expressed as relative changes in fluorescence (ΔF/F).
Either Cell Sort 1.0 or a program employing JBoost was used for automated detection of time-varying fluorescent signals and inspiratory preBötC neurons (Mukamel et al., 2009; Valmianski et al., 2010). ROIs with inspiratory-modulated Ca2+ signals were targeted for holographic photolysis. Neuronal signals were distinguished from presumptive astrocytic fluorescence rises, which were larger, slower, and not time locked to XIIn output (Ruangkittisakul et al., 2009).
Immunohistochemistry and histology.
Procedures for immunohistochemistry were described previously (Tan et al., 2010). Forty-micrometer-thick transverse brainstem sections were cut using a freezing microtome and incubated in primary antibodies (rabbit anti-SST-14, Peninsula Laboratories, 1:500; and mouse anti-neuronal nuclei, NeuN; Millipore Bioscience Research Reagents ; 1:500) for 24 h at 25°C. After washes, primary antibodies were detected using the following specific secondary antibodies (dilution 1:250): Alexa Fluor 568-conjugated donkey anti-rabbit and Alexa Fluor 488-conjugated donkey anti-mouse (Invitrogen). High resolution Z-stack images taken at 2 μm intervals were acquired on a confocal microscope (LSM510 META, Carl Zeiss). Neuronal density was determined by dividing the number of NeuN-positive neurons within a 100 μm radius circle ventral to nucleus ambiguus that contained SST-positive neurons, which define the preBötC (Tan et al., 2010), by the cylindrical volume.
Holographic photolysis.
The holographic microscope was mounted around an epifluorescence upright microscope (BX50WI; Olympus). We used a 405 nm diode laser (CUBE 405-100; Coherent) for uncaging combined into the microscope with a dichroic beamsplitter (425DCXR; Chroma Technology). The output beam was expanded 12.5× to match the input window of a liquid crystal spatial light modulator (LC-SLM, X10468; Hamamatsu) that operated in reflection mode. A telescope (f1 = 600 mm, f2 = 200 mm) imaged the plane of the SLM to the rear aperture of a water immersion objective (Olympus) with infrared coating (UMPLFLN20XW; numerical aperture, 0.5). Some experiments were performed with the Phasor spatial light modulator (SLM) system (Intelligent Imaging Innovations). An iterative Fourier transform algorithm, implemented into custom-designed software (Lutz et al., 2008) or Slidebook 5 (Intelligent Imaging Innovations), computed the phase pattern on the SLM corresponding to the desired distribution of light intensity at the focal plane of the objective. A blocker was inserted in the intermediate Fourier plane to block the unmodulated light component (zero order spot) and replicate patterns (Golan et al., 2009).
Statistical analysis.
Standard parametric tests were used to determine statistical significance. Student's t test and a one-way ANOVA, followed by Tukey–Kramer analysis, were used when appropriate. Data are presented as mean ± SEM. Statistical significance was set at p < 0.05.
Results
One to nine neurons were targeted using a spatial light modulator to shape a 405 nm laser beam into 10 μm diameter soma-centered spots. Because uncaged glutamate can diffuse from the site of photolysis to depolarize nontargeted neurons, we first characterized the lateral and axial resolution of photoactivation to determine stimulation parameters that limited excitation to the targeted neuron. Whole-cell patch-clamp recordings of preBötC neurons were performed in the presence of tetrodotoxin (TTX; 1 μm), while the distance between soma and laser spot was varied. Five 800 μs pulses (200 Hz) of a single 3 mW soma-centered laser spot elicited an inward current in the targeted neuron of 46 ± 5 pA (Fig. 1A,B; n = 19). When the spot was displaced 10 μm in the slice (xy) plane, the current was reduced by 80% to 9.3 ± 2.1 pA (n = 6; Fig. 1 A,B). Only currents elicited by soma-centered spots would be sufficient to produce APs as rheobase, i.e., the threshold for AP generation, was 32 ± 7 pA (n = 5; Fig. 1E,F).
The holographic pattern had an effective z-axial length ± 18 μm, the theoretical full-width at half-maximum, relative to the focal plane. Given that targeted neurons were superficial, neurons within ∼18 μm below the focal plane, comprising a cylindrical volume of 1400 μm3, could also be directly illuminated. To determine the spatial density of preBötC neurons, NeuN-positive cell bodies were counted in a region marked by SST staining ventrolateral to nucleus ambiguus (Tan et al., 2008) and divided by the volume of the section yielding an average density of 0.0004 neurons/μm3 (data not shown; n = 6). Based on this spatial density, the illumination volume would only intersect 0.50 ± 0.04 neuronal cell bodies (n = 6).
To validate the illumination volume empirically, preBötC neuron responses to a 10 μm, 3 mW photoactivation spot were recorded in 1 μm TTX in whole-cell patch clamp as the focal plane was raised. Raising the focal plane 20 μm reduced the current by 46% from 46 ± 5 pA (n = 19) to 29.4 ± 4.5 pA (n = 6), below rheobase and consistent with the theoretical axial attenuation of the holographic beam (Fig. 1C). When the focal plane was raised 40 μm, current decreased further to 21 ± 3 pA (n = 6), likely representing a combination of glutamate diffusion and attenuated axial illumination below half-maximum intensity (Fig. 1C). Thus, laser power up to 3 mW could trigger APs only in the one targeted neuron directly illuminated by a holographic beam, confirming the theoretical calculation. Neurons outside this beam should not reach rheobase, and any glutamate-evoked response would fail to propagate further.
Photolyzed glutamate could also depolarize dendrites passing through the illumination volume. To determine the effect of a holographic spot on dendrites, glutamate-evoked depolarization was measured in preBötC neurons with whole-cell patch clamp in 1 μm TTX as a 10 μm, 3 mW spot was moved in 10 μm steps along a visible primary dendrite. The glutamate-evoked response to photostimulation of a spot displaced 10–30 μm off the soma, but along a dendrite (Fig. 1D), was below rheobase, so stimulation of dendrites could not produce APs.
To determine the suprathreshold response of neurons to holographic photolysis of MNI-glutamate, firing patterns of inspiratory preBötC neurons were recorded in loose patch configuration. Respiratory rhythm in slices consisted of periodic inspiratory XIIn bursts (period: 4.5 ± 0.6 s; n = 7). MNI-glutamate (500 μm) added to the bath did not significantly change burst properties when compared to control (normalized to control: amplitude 1.05 ± 0.09, t(12) = −0.24, p = 0.8, half-width = 0.9 ± 0.04; t(12) = 1.08, p = 0.3, area = 0.96 ± 0.09; t(12) = 0.02, p = 1, period = 4.2 ± 0.4 s; t(12) = 0.44, p = 0.7; n = 7). Endogenous inspiratory bursts in preBötC neurons consisted of multiple APs, sometimes preceding but always coincident with XIIn bursts (AP number/burst = 7.0 ± 0.1, duration = 202 ± 14 ms, frequency = 40.1 ± 1.0 Hz; n = 11 neurons in 8 slices; Fig. 2). In some cases, sporadic firing during the interburst interval was observed (frequency = 3.7 ± 0.1 Hz). Stimulating single neurons during the interburst interval using the laser parameters characterized above (1–3 mW/spot, 5 × 800 μs, 200 Hz; Fig. 1), produced bursts of APs that did not exceed the frequency of endogenous inspiratory bursts (3 mW stimulated activity: AP number/stimulus = 7.0 ± 1.0, duration = 337 ± 21 ms, frequency = 25.9 ± 3.1 Hz; delay to first AP = 20 ± 3 ms; n = 11 neurons in 8 slices; Fig. 2B,C). Stimulation of a single, arbitrarily chosen, inspiratory-modulated preBötC neuron with these parameters did not produce an ectopic XIIn burst (n = 11 neurons in 8 slices; Fig. 2A,B; Fig. 3A).
Next, we photostimulated one to nine inspiratory-modulated preBötC neurons simultaneously during the interburst interval to determine the threshold to initiate an ectopic XIIn burst. In slices loaded with the Ca2+ indicator dye Oregon Green BAPTA 1-AM, inspiratory preBötC neurons were identified by rhythmic fluorescence signals time-locked with XIIn bursts (Fig. 3A; Koshiya and Smith, 1999). Successful photolysis evoked a Ca2+ signal in targeted neurons, consistent with firing of multiple APs (Fig. 3A; Morgado-Valle et al., 2008), that could be blocked by 25 μm NBQX, an AMPA receptor antagonist (Fig. 3A). Since the same stimulus parameters could elicit different neuronal responses across slices, we raised power from 1 mW until a Ca2+ response was observed in stimulated neurons, indicating that a burst of APs was initiated. This laser power (1–3 mW) was in a range to produce a burst of APs only in the targeted neuron and served as an upper bound for laser power/spot for the remainder of the experiment. Successful evoked preBötC bursts were determined by occurrence of a XIIn burst within 1 s of the stimulus. Since XIIn bursts could coincidentally fall within this time window (Fig. 4A), laser spots were delivered over 5–10 runs/trial at random phase in any given run.
The threshold number of targeted neurons that reliably (probability/trial > 80%) generated an ectopic XIIn burst varied from slice to slice, ranging from 4 to 9 (n = 4; Fig. 4 A,B). Evoked bursts did not differ significantly from endogenous bursts (Fig. 4C; amplitude, t(12) = −0.03, p = 1; half-width, t(12) = 0.18, p = 0.9, area, t(12) = 0.09, p = 0.9; n = 7). Shifting a holographic pattern with a suprathreshold number of spots 50–200 μm off their somatic targets reduced probability/trial of ectopic bursts from 98 ± 2% (on-cell) to 15 ± 8% (off-cell; n = 3). Overlap of the shifted pattern with other rhythmogenic neurons or an endogenous burst coincident with the stimulus time window (Fig. 4A) could contribute to the nonzero probability of eliciting ectopic bursts in the off-cell condition.
Although targeted neurons generated APs within 20 ms of photolysis onset (Fig. 2), the onset of evoked XIIn bursts was delayed 255 ± 43 ms when stimulating threshold numbers of neurons (n = 4). Latency was inversely related to the number of neurons stimulated. Occasional bursts elicited when stimulating subsets of the threshold pattern containing 1–3 fewer neurons (probability/trial<80%) were delayed 378 ± 53 ms, significantly longer than the latency for supersets of the threshold pattern containing 1–3 additional neurons (125 ± 23 ms; t(3) = 5.1; p = 0.01; n = 4; Fig. 4D). XIIn bursts could not be evoked when stimulating any threshold set of neurons within 500 ms after an endogenous burst (Fig. 4 E).
Discussion
The brain is capable of exquisite control over motor behavior. Stimulation of single neurons in mammalian motor cortex can trigger complex rhythmic movements (whisking) by activation of a central pattern generator (CPG) (Brecht et al., 2004). However, the number of neurons that must be activated within CPGs to trigger motor output has not been determined for any mammalian motor behavior. The threshold behavior of the preBötC, determined here with holographic photolysis, places critical and novel boundary conditions on the microcircuit underlying inspiratory burst generation.
The preBötC neural circuit can amplify the activity of a few neurons, <1% of the population, into a burst of ∼1000 neurons. The inability of a single neuron to initiate network bursts may ensure regularity in respiratory rhythm generation, as inputs or stochastic fluctuations leading to APs in a single neuron would be insufficient to prematurely generate an inspiratory burst. Requiring simultaneous or overlapping bursting in a small number of neurons for initiation of XIIn output allows for rapid adaptability, crucial in a network that must constantly and sometimes rapidly adjust to changing metabolic demands and accommodate overlapping volitional, emotive, and reflexive behaviors (Feldman and Del Negro, 2006; Feldman et al., 2013). Elucidating preBötC network mechanisms that support this threshold may improve our understanding of disorders of the nervous system that destabilize the breathing rhythm, such as Rett syndrome, Parkinson's, multiple-systems atrophy, and amyotrophic lateral sclerosis (Feldman and Del Negro, 2006; Feldman et al., 2013).
By empirically determining responses to glutamate diffusion and comparing the effective volume of laser illumination with preBötC neuron distributions, we determined that only the targeted neuron would be sufficiently stimulated to generate a burst of APs and propagate activity through the network. Glutamate diffusion away from the focused laser spot may influence additional neurons; however, with a rheobase of 32 pA, these neurons would likely not reach AP threshold, and activation would be limited to subthreshold depolarization (Rekling et al., 2000). Subthreshold depolarization could propagate through gap junctions; however, the weak coupling coefficient between preBötC neurons would strongly attenuate any response (Rekling et al., 2000). The significant decrease in the probability of (evoked) burst generation when the pattern is displaced also (empirically) suggests that incidental illumination does not have a large effect. While dendritic responses fell below rheobase, amplifying conductances in dendrites, e.g., Ca2+-activated nonspecific cation current (ICAN) or persistent Na+ current (INaP), could have been affected by the use of TTX in these experiments. However, presumptive dendritic ICAN activation, even from multiple sites, does not always elicit somatic action potentials (Del Negro et al., 2011, their Fig. 2H).
Burst initiating neurons are unlikely to be restricted to a small, specialized class of preBötC neurons, since our targets were randomly selected based solely on their inspiratory-modulated activity and the threshold number of targets was small. The broad criteria for target selection may also overestimate the threshold number, as a subset of glycinergic preBötC neurons are inspiratory-modulated (Winter et al., 2010). Since burst generation is a presumptively excitatory process, stimulation of inhibitory neurons could even detract from burst initiation. The capacity of potentially any excitatory inspiratory-modulated preBötC neuron to underlie burst initiation may protect respiration from catastrophic failure due to loss of any specific single (or set of) neuron(s) from disease or aging (Feldman and Del Negro, 2006; Hayes et al., 2012; Feldman et al., 2013).
Network properties facilitating population bursting, such as the degree or strength of connectivity, must be reconciled with the significant delay observed between stimulation and burst initiation. This latency exceeds reasonable estimates of time for oligosynaptic propagation of activity. In a simple simulation of synaptic propagation of activity, stimulation of 4–6 neurons in a network of 50 point-conductance neurons taken without modification from Butera et al. (1999) with a connectivity of 0.13 (Rekling et al., 2000) triggered a network-wide burst with a latency of ∼100 ms (K. Kam, unpublished observations).
Whether the 255 ms delay to an ectopic burst involves processes active during endogenous rhythmogenesis is not known; however, this latency is similar in time scale to pre-inspiratory firing in preBötC neurons, a several hundred millisecond period of activity preceding inspiratory bursts that does not result in motor output (Rekling et al., 1996). Due to this similarity, we speculate that photostimulation engages an obligatory process present during endogenous rhythmogenesis and necessary for burst initiation. Processes capable of producing such a delay include the following: (1) depolarizing conductances with slow (>100 ms) activation or inactivation kinetics in downstream neurons, e.g., INaP or ICAN (Del Negro et al., 2005); (2) second messenger signaling pathways, perhaps initiated by dendritic Ca2+ (Morgado-Valle et al., 2008; Del Negro et al., 2011); (3) percolation of activity through a sparsely or weakly connected preBötC network (Rekling et al., 2000; Carroll and Ramirez, 2013); and/or (4) competing inhibitory/hyperpolarizing conductances, signaling pathways, or neurons (Feldman and Del Negro, 2006; Feldman et al., 2013). Determining which mechanisms underlie this delay, within the constraints set by other parameters of the threshold behavior, is critical for understanding preBötC burst generation and neural control of respiration. Patterned photostimulation represents a powerful method for elucidating these mechanisms and, more generally, for deconstructing active networks. Novel multi-neuronal perturbations can be used to explore connectivity and recapitulate patterns of activity in groups of neurons to reveal fundamental dynamics in neural circuits underlying behavior.
Footnotes
This work was supported by grants from the U.S. National Heart, Lung, and Blood Institute and National Institute of Neurological Disorders and Stroke. We thank David Sherman for assistance with immunohistochemistry and all members of the Feldman and Emiliani laboratories for helpful discussion.
The authors declare no competing financial interests.
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