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The Journal of Neuroscience logoLink to The Journal of Neuroscience
. 2014 May 28;34(22):7683–7695. doi: 10.1523/JNEUROSCI.0444-14.2014

Neuromodulation of Whisking Related Neural Activity in Superior Colliculus

Tatiana Bezdudnaya 1, Manuel A Castro-Alamancos 1,
PMCID: PMC4035528  PMID: 24872572

Abstract

The superior colliculus is part of a broader neural network that can decode whisker movements in air and on objects, which is a strategy used by behaving rats to sense the environment. The intermediate layers of the superior colliculus receive whisker-related excitatory afferents from the trigeminal complex and barrel cortex, inhibitory afferents from extrinsic and intrinsic sources, and neuromodulatory afferents from cholinergic and monoaminergic nuclei. However, it is not well known how these inputs regulate whisker-related activity in the superior colliculus. We found that barrel cortex afferents drive the superior colliculus during the middle portion of the rising phase of the whisker movement protraction elicited by artificial (fictive) whisking in anesthetized rats. In addition, both spontaneous and whisker-related neural activities in the superior colliculus are under strong inhibitory and neuromodulator control. Cholinergic stimulation activates the superior colliculus by increasing spontaneous firing and, in some cells, whisker-evoked responses. Monoaminergic stimulation has the opposite effects. The actions of neuromodulator and inhibitory afferents may be the basis of the different firing rates and sensory responsiveness observed in the superior colliculus of behaving animals during distinct behavioral states.

Keywords: acetylcholine, neuromodulation, norepinephrine, superior colliculus, whisker

Introduction

The superior colliculus is a well known hub for sensorimotor transformations, such as those related to orienting eye movements (saccades) in primates (Sparks and Mays, 1990; Sommer and Wurtz, 2008; Gandhi and Katnani, 2011; Krauzlis et al., 2013). Rats use rhythmic whisker movements (active whisking) to sense the environment (Carvell and Simons, 1990; Gao et al., 2001; Kleinfeld et al., 2006; Kleinfeld and Deschênes, 2011), but the role of the superior colliculus in active whisking is not well understood.

Cells in the intermediate layers of the superior colliculus are responsive to passive touch of vibrissa (i.e., deflection of stationary whiskers; McHaffie et al., 1989; Grunwerg and Krauthamer, 1990; Cohen and Castro-Alamancos, 2007; Hemelt and Keller, 2007; Cohen et al., 2008; Cohen and Castro-Alamancos, 2010a) and stimulation of the superior colliculus evokes whisker movements (McHaffie and Stein, 1982; Hemelt and Keller, 2008). A movement pattern similar to active whisking, called artificial or fictive whisking, can be produced in anesthetized rats by electrically stimulating the facial motor nerve (Zucker and Welker, 1969; Brown and Waite, 1974; Szwed et al., 2003). Using fictive whisking, we recently showed that cells in the intermediate layers of the superior colliculus are highly responsive to whisking movement and active touch (i.e., whisking on objects; Bezdudnaya and Castro-Alamancos, 2011). Passive-touch responses in superior colliculus are driven directly by trigeminal complex afferents and indirectly by the barrel cortex (Cohen et al., 2008). Here we address the role of the barrel cortex in driving fictive whisking responses in the superior colliculus.

In freely behaving rats, the activity and responsiveness of whisker-sensitive cells in the superior colliculus are highly dependent on the behavioral state of the animal (Cohen and Castro-Alamancos, 2010c). Superior colliculus cell firing is higher during active exploration (which includes periods of active whisking) and REM sleep, compared with periods of awake immobility and slow-wave sleep. The superior colliculus appears to come online during active exploratory states and rapidly goes offline during awake immobile periods (Cohen and Castro-Alamancos, 2010b,c). In the whisker thalamus, similar rapid modulations of whisker responsiveness and spontaneous neural activity are mediated by inhibitory inputs (Hirata et al., 2009) and neuromodulators (Castro-Alamancos, 2002a, 2004; Hirata et al., 2006). Whether this is also the case in the superior colliculus is unknown. Cells located in the intermediate layers of the superior colliculus are innervated by inhibitory afferents from local GABAergic interneurons and from extrinsic sources, such as the substantia nigra pars reticulata (Di Chiara et al., 1979; Harting et al., 1988; Redgrave et al., 1992; Kaneda et al., 2008) and zona incerta (Kim et al., 1992; Kolmac et al., 1998). Superior colliculus cells also receive cholinergic (Beninato and Spencer, 1986; Krauthamer et al., 1995; Billet et al., 1999), noradrenergic (Swanson and Hartman, 1975), and serotoninergic afferents (Steinbusch, 1981; Beitz et al., 1986). Therefore, we tested the effects of manipulating synaptic inhibition and neuromodulators (cholinergic, noradrenergic, and serotoninergic) on whisker-sensitive cells in the superior colliculus.

Materials and Methods

Fifty-seven adult male Sprague-Dawley rats (300–350 g) were used in this study and cared for in accordance with National Institutes of Health guidelines for laboratory animal welfare. All experiments were approved by the Drexel University Institutional Animal Care and Use Committee. Rats were anesthetized with urethane (1.5 g/kg, i.p.) and placed in a stereotaxic frame. All skin incisions and frame contacts with the skin were injected with lidocaine (2%). Small craniotomies and small incisions of the dura were made over the target structures as necessary. Body temperature was automatically maintained constant with a heating pad at 37°C. The level of anesthesia was monitored with field potential (FP) recordings and limb withdrawal reflexes and kept constant at approximately stage III/3 (i.e., slow large amplitude FP cortical oscillations, absence of pinch withdrawal reflex, absence of whisker movements) using supplemental doses of urethane.

Electrophysiology.

In every case, a tungsten electrode was lowered into the depth of the barrel cortex (0.6–1 mm) to record multiunit activity (MUA) and FP activity. A second electrode or set of electrodes was lowered into the superior colliculus to perform single-unit or MUA and FP recordings from cells located within the following coordinates: 2–2.5 mm from lambda, 1.5–2.5 mm lateral from midline, and 3.6–5.3 mm in depth. These coordinates routinely yield whisker-responsive cells (Cohen et al., 2008). Single-unit recordings were obtained from high impedance (2–10 MΩ) glass electrodes filled with saline or from quartz-insulated platinum/tungsten electrodes (80 μm; shaft diameter) pulled and ground to a fine tip (3–7 MΩ) and independently moved with a seven-channel Eckhorn system (Thomas Recording). MUA and FP recordings were obtained from tungsten electrodes (1–3 MΩ).

Fictive whisking stimulation protocols.

Fictive whisking was conducted as previously described (Bezdudnaya and Castro-Alamancos, 2011). Once unit activity was isolated in superior colliculus, a hand-held probe was used to determine the whiskers that activated the cells (receptive field). All the cells subjected to fictive whisking protocols responded to passive whisker stimulation using a hand-held probe and using an air-puff (puff) stimulus. After identification of the receptive field with the hand-held probe, puff stimulation was delivered by aiming a 2.5-mm-diameter tube 15–25 mm away from the receptive field (slightly elevated and facing down with a slight angle from the front toward the whiskers) so that whiskers were pushed backwards by a 50 ms duration puff of pressurized air (40 psi). Stimulus trials consisted of a 2 s period of no stimulation (1.5 s used to measure spontaneous firing) followed by 35 puffs at 0.5, 2, 5, or 10 Hz.

Puff stimulation was followed by fictive whisking in air. To trigger fictive whisking, we cut and positioned a pair of stainless steel wires in the buccal branch of the facial nerve (0.7–1 mm apart), and delivered a train of five pulses (100 μs duration) at 100 Hz. The stimulus intensity was adjusted (0.04–0.17 mA range) to produce a protraction with a 10–35° angle. In a few cases, we used synchronous video monitoring (500 frames per second; Motionscope, Red Lake Imaging) to track whisker movement frame by frame (Bezdudnaya and Castro-Alamancos, 2011). After tracking of each frame, the movements measured during each of the last 30 trains were averaged. Each train produced a whisker protraction (rising phase) that crested at ∼50 ms from the train onset, and the whiskers returned back to the starting point (falling phase) within the next 30 ms. As per puff stimulation, each whisking in air trial consisted of a 2 s period of no stimulation (1.5 s used to measure spontaneous firing) followed by 35 trains at 0.5, 2, 5, or 10 Hz.

Whisking in air was followed by active touch consisting of whisking on three different surfaces. The surface was placed parallel to the rat's midline to mimic a wall that the whiskers brush against in the rostrocaudal direction. The distance from the wall to the whisker pad was adjusted to assure that most whiskers (except rostral microvibrissae, which are too short) made contact. We used three different sand paper surfaces that varied in coarseness based on grit size (g60, g220, and g600, coarse-to-smooth), and were placed on each of three sides of a rotating cube; rotating the cube 90°led to the presentation of a different surface. During whisking on surfaces, the electrical stimulus and the trial setup were identical to whisking in air but the whiskers contacted the surface. Once the whisking on surfaces trials ended, all stimulus trials were repeated several times (2–5), and the data from different trials was averaged together unless otherwise stated.

Peristimulus time histograms (PSTHs), rectified MUA, and FP responses were obtained by averaging the responses to the last 30 stimuli in each 35 stimulus trial. Puff evoked responses were corrected by subtracting the time it took for the air to reach the whiskers, which was determined using a sensing piezo-electric device placed in the location of the whiskers. Stimulus artifacts created by the nerve stimulation were very distinct and easily removed. We measured the spontaneous firing rate of single-units or MUA from a 1.5 s period before each trial of the different stimulus types (i.e., puff, whisking in air, and whisking on surfaces). To measure single-unit evoked responses, we obtained the spike probability during a long time window (0–100 ms poststimulus) or several shorter time windows within the 100 ms poststimulus epoch. To measure MUA evoked responses, we used both spike probability and rectified MUA. Rectified MUA evoked responses are derived by obtaining the absolute value of the MUA and then measuring the baseline corrected area during the response time window. All data are expressed as mean ± SEM unless otherwise stated.

Single- and multi-whisker deflection protocols.

Single- and multi-whisker stimulation protocols consisted of independently deflecting six individual whiskers using six different whisker stimulators (Cohen et al., 2008). After isolating unit activity, the whiskers were stimulated using a hand held probe. The whisker that produced the shortest latency and strongest response was considered the principal whisker (PW). This whisker and up to five additional whiskers surrounding it, called adjacent whiskers (AWs), were selected for stimulation (Aw1–Aw5). Each of the selected whiskers was placed in an independent whisker stimulator by inserting it into a glass micropipette (1/0.5 mm outer diameter/inner diameter) that was glued to the membrane of a miniature speaker. Each whisker was inserted into the micropipette for ∼5 mm, leaving ∼10 mm from the end of the micropipette to the skin. Application of a 1 ms2 current pulse to the speaker deflected the micropipette and the whiskers inside. The resulting whisker deflection is a very low-amplitude (∼2°) and very high-velocity (∼1000°/s) stimulus. The whisker stimulators were oriented in the preferred direction to produce the largest response as determined with the hand probe. Each of the six whisker stimulators was driven by counter/timer boards controlled with LabVIEW software (National Instruments).

Whisker stimulation was delivered according to the following protocols. A trial consisted of an initial 2 s without whisker stimulation followed by stimulation delivered to each whisker at 2 s intervals (the order of whisker stimulation was randomly selected). The first whisker was stimulated 2 s after the trial began, the second whisker was stimulated 4 s after the trial started, and so on, so that the sixth (last) whisker stimulus was delivered 12 s after the start of the trial. Thus, a single trial contained stimuli for all six whiskers and lasted a total of 14 s. Whisker stimuli consisted of 10 stimuli delivered at 10 Hz. When all six whiskers were stimulated simultaneously (ALL), each trial lasted 5 s. Every trial was repeated 30 times to derive PSTHs and to average FP responses. Protocols for single-whisker stimulation and simultaneous multi-whisker stimulation were combined in the same trial, so that stimulation of each individual whisker was followed (3 s after the last whisker) by stimulation of the six whiskers together in the same trial.

Microdialysis.

To apply drugs into the barrel cortex or superior colliculus, a microdialysis cannula (250 μm outer diameter, 2-mm-long membrane) was placed adjacent (∼ 500 μm) to the recording electrodes in those areas. ACSF was continuously infused through the probe at 2–4 μl/min and drugs were dissolved in the ACSF. Norepinephrine (NE), carbachol (CA), physostigmine (Physo), serotonin (5HT), and fluoxetine (FLU) were used to study neuromodulation. Bicuculline (BMI) and CGP35348 (CGP) were used to suppress inhibition. Tetrodotoxin (TTX) and lidocaine (Lido) were used to block neural activity. To test drug effectiveness, each drug was applied at different doses during recording of local neural activity. We have used this method for several decades and typically find that the effective doses during microdialysis are ∼10 times higher than during direct application in slices (Castro-Alamancos and Borrell, 1993; Castro-Alamancos and Oldford, 2002; Cohen et al., 2008; Hirata and Castro-Alamancos, 2010). This is due to the fact that there is typically an ∼10% reverse-dialysis recovery of drugs in the extracellular medium as they dialyze down their concentration gradients across the dialysis membrane. Moreover, based on diffusion experiments using arrays of recording electrodes at different distances from the probe, we have estimated the spread to be ∼1 mm in the horizontal plane away from the membrane for the typical doses used here (Castro-Alamancos, 2000; Aguilar and Castro-Alamancos, 2005; Hirata et al., 2006).

Analysis.

Statistical analyses consisted, for the most part, of paired comparisons of responses evoked in the same cells by different stimulus types (e.g., puff, whisking in air, and whisking on surfaces) and drugs. If the data were considered normally distributed, according to the Shapiro–Wilk normality test, we used parametric statistics. For two groups, we used the t test (paired or independent). For more than two groups, we tested for a significant main effect using the repeated-measures ANOVA followed by comparisons with Tukey's test. If the data were considered not normally distributed, we used nonparametric statistics consisting of the Wilcoxon signed ranks (paired comparisons). When performing multiple comparisons (Wilcoxon), p values were adjusted using a Bonferroni correction by multiplying the p value by the number of comparisons made. The α level used for significance was p < 0.05 or p < 0.01 as indicated.

Histology.

At the end of the experiments, animals were killed with an overdose of pentobarbital and the brain was rapidly removed and placed in fixative (4% paraformaldehyde). In some cases, coronal sections (100 μm) of the superior colliculus were obtained using a vibratome, and these were stained with cresyl violet. Based on coordinates, electrode tracks, and lesions made to mark the recording sites (0.02 mA constant current, 10 s duration; twice), the cells were located in the intermediate layers of the superior colliculus.

Results

Fictive whisking responses in superior colliculus

During fictive whisking, the brain does not generate a motor command or the corresponding efference copy. Instead, it receives a signal that reflects the movement imposed by the electrical stimulation of the motor nerve. This movement signal (reafference) is caused by some trigeminal ganglion cells that discharge during fictive whisking in air (without object contact; Szwed et al., 2003); more dispersed and less phase-locked ganglion cell discharges appear to occur during natural whisking in air in behaving animals (Khatri et al., 2009). While keeping these differences in mind, fictive whisking is a useful model to investigate whisker-evoked responses in neural circuits under highly controlled conditions that enable sophisticated experimental procedures that are technically difficult or unfeasible in freely moving animals.

In urethane-anesthetized rats, we recorded single-unit responses in the intermediate layers of the superior colliculus and FP responses in the barrel cortex during air-puff stimulation of stationary whiskers (passive touch), fictive whisking in air (whisking movement), and fictive whisking on three different surfaces varying in texture (active touch) as if the rat was brushing its whiskers on an adjacent wall.

The cells were determined to be responsive to whisker stimulation by a hand held probe and by an air-puff stimulus delivered at low-frequency (0.5 Hz) aimed at the receptive field (i.e., whiskers that were determined to drive the cell using a hand-held probe). Puff stimulation was followed by fictive whisking in air (whisk) and whisking on three surfaces (g60, g220, g600) at 0.5, 2, 5, and 10 Hz. As shown in Figure 1 (bottom), the whisker movement associated with fictive whisking in air consisted of a protraction with a rising phase and a falling phase. The rising phase crested at ∼50 ms, after which the protraction returned to baseline within the next ∼30 ms.

Figure 1.

Figure 1.

Population data showing four statistically defined classes of cells (single-units) in superior colliculus according to the responses evoked by fictive whisking. The four classes of cells include: (1) cells that are responsive to whisking movement only, (2) cells that are responsive to movement and active touch (whisking on a surface) excites them further, (3) cells that are responsive to movement and active touch inhibits the movement response, and (4) cells that are only responsive to active touch. Responses are shown at four different whisking frequencies during whisking in air (Whisk) and whisking on surfaces of different roughness (g60, g220, g600). Bottom, The whisker movement (angle in degrees) measured with video tracking during fictive whisking (positive values indicate that the whiskers protracted). Train refers to five pulses delivered at 100 Hz.

To determine whether a cell was sensitive to a particular stimulus type (delivered at 0.5 Hz), we performed paired statistical comparisons (Wilcoxon; see Materials and Methods) between the evoked response (measured 0–100 ms after the stimulus) and the spontaneous firing (measured 100 ms before the stimulus) for every trial. To determine whether a cell was more sensitive to a particular stimulus type than another, we also compared the responses between the different stimulus types. Based on these comparisons, we found four main statistically determined classes of cells (Fig. 1). First, 23% of the cells respond to fictive whisking in air but are unaffected by active touch (movement cells; Fig. 1, first row). These movement cells respond to the whisking movement during the early part of the rising phase of the protraction, and the response is unaffected by touching a surface during the movement. Second, 22% of the cells also respond to fictive whisking in air but touching a surface increases the response evoked by the whisking movement (movement + touch excites; Fig. 1, second row). Third, 29% of the cells respond to fictive whisking in air but touching a surface decreases the response evoked by the whisking movement (movement + touch inhibits; Fig. 1, third row). Fourth, 25% of the cells have negligible (statistically nonsignificant) responses to fictive whisking in air (insensitive to movement) but touching a surface produces robust responses (touch cells; Fig. 1, fourth row). These touch responses occur as the whiskers brush the surface during the protraction. For all cell types, the responses are mostly apparent at low frequencies and display very strong adaptation at higher frequencies; responses are virtually abolished at 10 Hz. It is worth considering that some of the cells may not have respond to touch because their angular selectivity was not engaged by the surface.

Whisking movement responses

Fictive whisking in air responses are driven by the whisker movement and occur only during the onset of the whisker protraction, mostly between 5 and 20 ms. The time course of these responses roughly coincides with the two peaks evoked in superior colliculus by passive touch stimuli (mechanical whisker deflections), which we have previously called peak1 (3–12 ms) and peak2 (12–20 ms) and are caused by trigeminotectal and corticotectal inputs, respectively (Cohen et al., 2008). Among our cell population that responds to fictive whisking in air (n = 87; 75% of all the cells), we found four classes of cells according to the timing of the response from the onset of the whisking movement (Fig. 2A). A small group of cells (8%) had a single peak response before 12 ms, and we call them peak1 cells. The majority of cells (57%) had a single peak response between 12 and 20 ms, and we call these peak2 cells. A third group of cells (13%) had both a peak1 and a peak2 response, and we call them peak1 + 2 cells. Finally, a fourth group of cells (22%) had a dispersed response to fictive whisking in air. In conclusion, the majority (∼70%) of cells that respond to whisking movement in superior colliculus have a peak2 (12–20 ms) response, which as we will see below is mainly driven by corticotectal inputs.

Figure 2.

Figure 2.

Whisking movement and active touch responses in superior colliculus. A, Whisking movement single-unit responses can be classified into four different types according to the timing of the response from whisking onset: peak1, peak2, peak1 + 2, and dispersed. Top, The color-coded plot depicts the response of each cell (n = 87) from the onset of the whisking movement stimulus. Bottom, Average responses for the four classes of cells shown above. B, The time course from whisking onset during which active-touch responses are significantly different (larger or smaller; Wilcoxon) compared with whisking movement responses is depicted in green for the three different classes of cells that are sensitive to active touch.

Active-touch responses

As noted above (Fig. 1) there are three effects of active touch on superior colliculus responses. Whisking on a surface can enhance or suppress the response to whisking movement, or it can generate a significant response in cells that respond poorly to whisking movement. To determine the time course of these effects, we performed paired comparisons per 1 ms bin between fictive whisking in air and whisking on a surface for the three groups of cells that respond to active touch. Figure 2B shows (in green) the section of the response evoked by active touch that is statistically significantly different from the whisking movement response (in black). For cells in which touch excites, the enhancement mainly occurred between 15 and 40 ms. For cells in which touch inhibits, the suppression was more focused and occurred earlier between 10 and 20 ms. Finally, the response of cells that are sensitive to active touch, but not to whisking movement, occurs between 15 and 40 ms. In conclusion, active-touch responses in superior colliculus occur mainly during a 15–40 ms time window that coincides with the middle portion of the rising phase of the protraction as whiskers brush the surface.

Impact of barrel cortex on fictive whisking responses in superior colliculus

Passive-touch (mechanical whisker deflections of stationary whiskers) neural responses in superior colliculus are distinctive and consist of two successive peaks, called peak1 and peak2, driven respectively by direct trigeminotectal inputs from the trigeminal complex followed by corticotectal inputs from the barrel cortex (Cohen et al., 2008; Cohen and Castro-Alamancos, 2010c). Peak1 responses are unaffected by barrel cortex manipulations, whereas peak2 responses are enhanced or suppressed by enhancing or suppressing barrel cortex responses, respectively. Using similar methods as in our previous passive touch work, we tested the impact of enhancing or suppressing barrel cortex responses on superior colliculus responses evoked by fictive whisking. Figure 3 shows two experiments in which drugs were applied in the barrel cortex via microdialysis to enhance or suppress barrel cortex responses to determine the effect on superior colliculus responses. Figure 3A displays FP responses from both barrel cortex (thin traces) and superior colliculus (thick traces). Figure 3B displays FP responses from barrel cortex and MUA responses from superior colliculus. Control responses (black traces) were evoked by a puff, fictive whisking in air, and whisking on surfaces (only g60 is shown in Fig. 3).

Figure 3.

Figure 3.

Effect of barrel cortex response enhancement and suppression on superior colliculus responses driven by fictive whisking. A, Example of FP responses recorded in the barrel cortex (BCx; thin traces, top) and superior colliculus (SC; thick traces, bottom) evoked by passive touch (puff), whisking movement (whisk), and active touch (g60) during control (black), application of BMI in barrel cortex to enhance the evoked response (red), and during application of Lido in barrel cortex to suppress the evoked response (green). Note that peak2 responses in superior colliculus are enhanced and suppressed in unison with corresponding changes in the barrel cortex response, whereas peak1 responses remain relatively unaffected. B, Similar to A, but in this experiment MUA is measured in superior colliculus. C, Whisker movement measured with video tracking during fictive whisking.

During application of a low dose of a GABAA receptor antagonist (BMI 10 μm; red traces) into the barrel cortex, the short-latency response in barrel cortex (peakA), caused by puff or whisking, was robustly enhanced. At the same time, the peak2 response (12–40 ms) in the superior colliculus was robustly enhanced for both FP and MUA recordings. Importantly, the peak1 response (3–12 ms) in superior colliculus was not significantly affected by peakA enhancement caused by BMI in barrel cortex. It is also worth noting that this dose of BMI delivered via microdialysis enhances the evoked response but does not lead to spontaneous epileptiform discharges (Castro-Alamancos and Borrell, 1995; Castro-Alamancos, 1999, 2000). Subsequent application of Lido (10–20%; green traces) into the barrel cortex leads to a complete suppression of peakA responses in barrel cortex. At the same time, peak2 responses in superior colliculus were strongly suppressed, whereas peak1 responses were little affected.

The effect of lidocaine was rapidly reversible upon removing it from barrel cortex. This recovery is demonstrated in another experiment shown in Figure 4 (ACSF; blue traces), which shows FP responses recorded in barrel cortex and both FP and MUA responses recorded in superior colliculus for all stimulus protocols and drug conditions. During washout of lidocaine with ACSF, barrel cortex peakA responses and superior colliculus peak2 responses returned to control levels. Furthermore, subsequent application of TTX (10 μm; cyan traces) into the barrel cortex had an effect similar to lidocaine. Due to the strong adaptation of responses at higher frequencies, the effects of barrel cortex response suppression or enhancement on superior colliculus responses were more obvious at low frequencies, when responses are larger (unadapted) in both areas.

Figure 4.

Figure 4.

Another example showing the effect of barrel cortex response enhancement and suppression on superior colliculus responses driven by fictive whisking at four different frequencies (0.5, 2, 5, and 10 Hz). FP responses recorded in the barrel cortex (BCx; thin traces, top) and superior colliculus (SC; thick traces, bottom) evoked by passive touch (puff), whisking movement (whisk), and active touch (g60) during control (black), application of BMI in barrel cortex to enhance the evoked response (red), during application of Lido in barrel cortex to suppress the evoked response (green), during recovery from the effects of lidocaine in barrel cortex (blue), and during subsequent application of TTX in barrel cortex (light blue). Note that peak2 responses in superior colliculus are enhanced and suppressed in unison with corresponding changes in the barrel cortex response.

Figure 5 shows measurements of FP and MUA responses evoked in superior colliculus by puff and whisking (in air and on surfaces) from the population of experiments (n = 10) in which we tested the effects of BMI and lidocaine applied into the barrel cortex. Figure 5A,B shows the amplitude of peak1 (3–12 ms) and peak2 (12–25 ms) FP responses measured in superior colliculus during control, BMI and Lido. It is important to note that FP peak1 and peak2 responses in Figure 5A,B are measured from the prestimulus baseline; note that peak2 responses ride on the peak1 response (Figs. 3, 4). As shown in the examples, very little peak2 FP responses remain in superior colliculus after application of lidocaine in barrel cortex, whereas peak1 is unaffected. The spontaneous activity (MUA) of superior colliculus cells did not change significantly during application of either BMI or Lido into neocortex (Tukey; n = 10; n.s.), but peak2 responses were significantly affected. To measure evoked responses, we rectified the raw MUA and measured the area of the responses from the prestimulus baseline. Figure 5C,D shows peak1 (3–12 ms) and peak2 (12–21 ms) responses measured in superior colliculus during control, BMI and lidocaine. The results show that peak1 (FP or MUA) responses in superior colliculus were not significantly affected by application of either BMI or Lido in barrel cortex. However, MUA peak2 responses were significantly enhanced by application of BMI and suppressed by application of Lido in barrel cortex. As shown in Figure 5, significant effects were observed mostly during low-frequency stimuli (0.5–5 Hz); not during high-frequency stimuli (10 Hz) when responses are already strongly adapted. Thus, similar to passive touch responses, peak1 movement and active touch responses in superior colliculus are driven by trigeminotectal inputs, whereas peak2 responses are driven by corticotectal inputs.

Figure 5.

Figure 5.

Population data measuring the effect of barrel cortex response enhancement and suppression on superior colliculus responses driven by fictive whisking. A, B, The amplitudes of peak1 (A) and peak2 (B) FP responses measured from the prestimulus baseline in superior colliculus during control (closed circles), application of bicuculline in barrel cortex to enhance the evoked response (open triangles), during application of lidocaine in barrel cortex to suppress the evoked response (closed squares). *Statistical differences (Tukey) between control and bicuculline; #statistical differences (Tukey) between control and Lido. C, D, Similar to A and B, but show the area of peak1 (C) and peak2 (D) rectified MUA responses measured from the prestimulus baseline in superior colliculus.

Synaptic inhibition controls spontaneous firing and fictive whisking responses in superior colliculus

Intracellular recordings in the superior colliculus in vivo show that passive-touch responses produce excitatory and IPSPs (Cohen et al., 2008). IPSPs in superior colliculus originate from inhibitory interneurons within superior colliculus, and from substantia nigra pars reticulata and zona incerta afferents (Isa and Hall, 2009). To determine whether spontaneous firing and the fictive whisking responses in superior colliculus are suppressed by GABA mediated inhibition we used a method we have used before in ascending thalamocortical pathways (Hirata et al., 2009) that consists in blocking inhibition to unmask the excitatory responses and spontaneous activities that are normally suppressed by inhibition. We used microdialysis to infuse a GABAA receptor antagonist (BMI) followed by a GABAB receptor antagonist (CGP35348) directly into the superior colliculus. At the same time, we measured MUA and FP responses evoked by fictive whisking in both the superior colliculus (adjacent to the microdialysis probe) and in the barrel cortex. The barrel cortex activity served as a control for stability during changes observed in the superior colliculus.

Figure 6 shows a typical example of the effect of BMI (100 μm) infused into the superior colliculus. BMI produced a robust enhancement of all evoked responses including puff, whisking in air, and whisking on surfaces. The enhancement of the evoked responses was observed in both MUA (Fig. 6A) and FP (Fig. 6B) recordings in superior colliculus, with no significant change in barrel cortex (data not shown). For fictive-whisking responses, the response enhancement was strongest during the whisker movement up to 100 ms (protraction-retraction), declining thereafter. Application of BMI also had a significant effect on spontaneous firing as expected from the notion that substantia nigra pars reticulata afferents keep superior colliculus cells under tight inhibitory control. Figure 7A shows the effect of different doses of BMI on spontaneous firing in superior colliculus. Subsequent application of a GABAB receptor antagonist (CGP35348, 5 mm) during GABAA receptor blockade (BMI) also produced a relatively small but significant enhancing effect on spontaneous firing (Fig. 7A). Thus, the spontaneous firing of whisker-sensitive superior colliculus cells is controlled by inhibition, particularly GABAA mediated inhibition.

Figure 6.

Figure 6.

Example showing the effect of blocking GABAA receptors in superior colliculus on superior colliculus responses driven by fictive whisking. A, PSTH of unit activity evoked in superior colliculus by passive touch (puff), whisking movement (whisk), and active touch (g60, g200, g600) during control (black) and during application of BMI in superior colliculus (red). Note the large enhancement of evoked responses during block of inhibition. B, Same as A, but FP responses recorded in superior colliculus are shown.

Figure 7.

Figure 7.

Population data measuring the effect of superior colliculus disinhibition on superior colliculus spontaneous firing and responses driven by fictive whisking. A, Effect of block of GABAA receptors with BMI at different doses on spontaneous firing. Also shown is the effect on spontaneous firing of blocking GABAB receptors during GABAA receptor block. *Statistical differences (Tukey, p < 0.05) between the groups. B, Area of rectified MUA responses (3–100 ms) driven by fictive whisking measured from the prestimulus baseline in superior colliculus during control (closed circles) and during disinhibition (open triangles). *Statistical differences (Tukey) between the groups.

Figure 7B shows population data of evoked responses (rectified MUA) measured during a 3–100 ms window poststimulus evoked by each of the stimulus types at the four different frequencies before (control) and during disinhibition (BMI + CGP35348; 100 μm + 5 mm). It is worth noting that block of GABAA receptors alone produced the same effect as blocking both GABAA and GABAB receptors (data not shown); in other words, subsequent block of GABAB receptors after block of GABAA receptors did not have any additional significant effects on the measured evoked responses. The main effect of disinhibition was to enhance sensory responses evoked by low-frequency stimulation (0.5 Hz), but much less those evoked by higher-frequencies (only puff responses were significantly enhanced at higher-frequencies; 2 and 5 Hz). This implies that rapid-sensory adaptation in superior colliculus is for the most part not caused by feedforward synaptic inhibition, which is similar to previous results obtained in the whisker thalamus (Castro-Alamancos, 2002a; Hirata et al., 2009).

These results indicate that synaptic inhibition keeps whisker-sensitive superior colliculus cells under tight control, which is consistent with previous studies (Harting et al., 1988; Redgrave et al., 1992; Kaneda et al., 2008). Spontaneous firing and low-frequency evoked responses (movement and active touch) are normally strongly dampened by inhibition. Rapid sensory adaptation of high-frequency passive- or active-touch responses is not due to GABA-mediated inhibition.

Neuromodulators influence passive touch multi-whisker responses in superior colliculus

To determine the impact of neuromodulators on whisker-sensitive cells, we used microdialysis to infuse the cholinergic agonist CA (0.1–1 mm), NE (0.1–1 mm) or 5HT (0.1–1 mm) into the superior colliculus while recording MUA or single-units in the intermediate layers. This was done in two groups of experiments. In the first set of experiments, we determined the effect of CA and NE on superior colliculus responses evoked by single-whisker and multi-whisker deflections of stationary whiskers. In the second group of experiments, we determined the effect of CA, NE, and 5HT on superior colliculus responses evoked by fictive whisking.

Whisker-sensitive cells in the superior colliculus typically respond poorly to single-whisker deflections but respond robustly to simultaneous, or nearly simultaneous, multi-whisker stimulation with a characteristic peak1(trigeminotectal) followed by peak2 (corticotectal) response. Intracellular and FP recordings reveal subthreshold postsynaptic potentials evoked by single-whisker deflections that sum to trigger action potentials during multi-whisker deflections (Cohen et al., 2008). Thus, we first used FP recordings to determine the impact of CA and NE on single-whisker and multi-whisker subthreshold responses. Figure 8A–D shows the effect of these drugs on multi-whisker responses evoked by simultaneously deflecting six whiskers (ALL) at 0.1 or 10 Hz. Also shown are the responses evoked by deflecting (at 0.1 Hz) the PW or the strongest adjacent whisker (AW1) among the sixwhiskers. Low-frequency (0.1 Hz) multi-whisker deflections produce robust peak1 (peaking at 5.7 ± 0.2 ms; n = 12) and peak2 (13.2 ± 0.5 ms) responses. These responses are much smaller (Fig. 8) and delayed during high-frequency (10 Hz) stimulation (6.4 ± 0.4 and 15.4 ± 0.6 ms) and during low-frequency single-whisker stimulation (6.7 ± 0.3 and 14.2 ± 0.5 ms for the PW). Low-frequency AW2–AW5 and high-frequency single-whisker responses were not measured because they are too weak.

Figure 8.

Figure 8.

Effect of neuromodulators applied in superior colliculus on single-whisker and multi-whisker responses evoked by deflection of stationary whiskers. A, B, Examples of the effects of CA (A) and NE (B) on peak1 and peak 2 FP responses evoked by simultaneous multi-whisker deflection of six whiskers (ALL) at 0.1 or 10 Hz, single-whisker stimulation of the PW and single-whisker stimulation of the adjacent whisker producing the strongest response (AW1) at 0.1 Hz. Two different doses of each drug are shown. C, Population data measuring the effect of CA (n = 8) on peak1 (left) and peak2 (right) responses evoked by ALL at 0.1 and 10 Hz, and PW and AW1 deflections at 0.1 Hz. *Statistical differences (Tukey) between the groups. D, Population data measuring the effect of NE (n = 12) on peak1 (left) and peak2 (right) responses evoked by ALL at 0.1 and 10 Hz, and PW and AW1 deflections at 0.1 Hz. *Statistical differences (Tukey) between the groups. E, Population data measuring the effect of CA (left) and NE (right) on peak1 and peak2 MUA responses evoked by ALL at 0.1 Hz. Responses were corrected by subtracting the spontaneous firing. *Statistical differences (Tukey) between the groups.

We found that CA (0.1–0.5 mm; n = 8) and NE (0.5–1 mm; n = 12) depressed peak1 FP responses evoked by low-frequency multi-whisker or single-whisker deflections. The depressing effect of NE on single-whisker responses was more consistent than that of CA; reaching statistical significance for both the PW and AW1. In contrast, these drugs did not suppress peak2 FP responses evoked by multi-whisker stimulation. In fact, NE significantly enhanced peak2 responses at the largest dose (Fig. 8D, right). These results indicate that trigeminotectal (peak1) and corticotectal (peak2) inputs evoked by simultaneous multi-whisker deflections are differentially regulated by neuromodulators. Trigeminotectal subthreshold responses are suppressed by either CA or NE, whereas corticotectal subthreshold responses are unaffected by CA and enhanced by NE.

We next measured the effects of these neuromodulators on MUA (suprathreshold) recorded through the same electrodes as the FP data. Because suprathreshold responses evoked by single-whisker stimulation are too small, we measured the effects of these drugs only on low-frequency multi-whisker responses. As discussed below in more detail, we noticed that CA enhanced spontaneous firing, whereas NE suppressed spontaneous firing. Therefore, when measuring MUA peak1 and peak2 responses, we subtracted the spontaneous firing measured during an equivalent response window before the whisker deflection (Fig. 8E). We found that CA and NE differentially affected MUA responses. Similar to the subthreshold FP effects, NE significantly suppressed the peak1and enhanced peak2 MUA responses indicating a different modulation of trigeminotectal and corticotectal inputs. In contrast to the subthreshold FP effects, CA did not significantly suppress peak1 MUA responses evoked by low-frequency multi-whisker stimulation; in fact, CA tended to enhance these responses at the highest dose (Tukey, p = 0.05). The different effects of CA on subthreshold (FP) and suprathreshold (MUA) multi-whisker responses is likely related to the robust enhancement of spontaneous firing produced by cholinergic activation, as described below.

Neuromodulators control spontaneous firing in superior colliculus

Using both MUA and single-unit recordings we determined the effect of these drugs on spontaneous firing. CA has a fairly consistent effect on spontaneous firing of MUA (n = 8; 0.1–1 mm; Fig. 9A) and single-units (n = 15; 0.5 mm; Fig. 9B). CA significantly enhanced the firing rate of whisker sensitive cells in superior colliculus starting with the lowest dose (0.1 mm) tested. Single-units were either not significantly affected by CA (7 of 15 cells) or the firing rate increased significantly (8 of 15 cells). The effect of CA resembled that of disinhibition (BMI + CGP; Fig. 7), perhaps because both act by suppressing synaptic inhibition. Therefore, we tested whether the effect of CA (0.5 mm) would still be present during disinhibition (BMI + CGP35348; 0.1 + 5 mm). The results show that during disinhibition the effect of CA on MUA spontaneous firing was much smaller than during control conditions. During control, CA (0.5 mm) enhanced MUA spontaneous firing by twofold (201.17 ± 42%; Fig. 9A), whereas during disinhibition CA only enhanced spontaneous firing by 24.1 ± 20% (Wilcoxon, p = 0.02; n = 8). Thus, most of the effect of CA on spontaneous firing seems to require intact inhibition, suggesting that CA produces its enhancing effect on spontaneous firing by disinhibiting the superior colliculus. Finally, we tested whether the effect of CA on spontaneous firing could be reproduced by increasing the endogenous levels of acetylcholine by applying Physo, an acetylcholinesterase inhibitor, into the superior colliculus. This has previously been effective in barrel cortex (Oldford and Castro-Alamancos, 2003). Indeed, similar to the effect produced by CA, Physo (5 mm) resulted in a significant increase in MUA spontaneous firing (Fig. 9C; n = 7).

Figure 9.

Figure 9.

Population data measuring the effect of neuromodulators applied in superior colliculus on spontaneous MUA and single-unit activity in superior colliculus. A, Effect of different doses of CA (in μm) on MUA spontaneous firing. *Statistical differences (Tukey, p < 0.05) between the groups. B, Effect of CA (0.5 mm) and NE (0.5 mm) or 5HT (0.5 mm) on single-unit spontaneous firing (NE and 5HTdata are pooled together). Note that to test the effect of NE or 5HT we selected cells with significant spontaneous firing during control. *Statistical differences (paired t test, p < 0.05) between the groups. C, Effect of fluoxetine (1.8 mm) and Physo (5 mm) on MUA spontaneous firing. *Statistical differences (Wilcoxon, p < 0.05) between the groups.

In contrast to CA, NE suppressed MUA spontaneous firing at the highest doses tested (Wilcoxon, p = 0.005; 0.5–1 mm; n = 5) but not at the lowest doses (Wilcoxon, p = 0.7; 0.1–0.25 mm; n = 5). A few experiments with 5HT (n = 3) also resulted in similar suppressions of spontaneous MUA at similar doses. Therefore, we tested the effects of either NE (0.5 mm) or 5HT (0.5 mm) on single-units that had some spontaneous firing during control. Together the results show that cells that have spontaneous firing are significantly suppressed by either NE or 5HT (paired t test, p = 0.01; n = 17 cells; Fig. 9D); the results from NE and 5HT cells were combined because the effects were similar and because only a few of the cells had some spontaneous firing so that a suppression of activity could be determined. None of the cells enhanced their spontaneous firing during application of NE or 5HT. We also tested whether the effect of NE and 5HT on spontaneous firing could be reproduced by increasing the endogenous levels of monoamines by applying fluoxetine (1.8 mm), a 5HT uptake inhibitor that has been shown to increase the extracellular levels of both 5HT and NE (Perry and Fuller, 1997). Similar to 5HT and NE, infusion of fluoxetine (1.8 mm) into the superior colliculus suppressed MUA spontaneous firing (Fig. 9C).

Neuromodulators influence fictive whisking responses in superior colliculus

Next we tested the effects of CA on fictive whisking responses using single-unit recordings (n = 11 cells). Of these cells, four had small responses during fictive whisking and CA had no significant effect on these responses. The other seven cells had significant responses evoked by fictive whisking. Two of those were unaffected by CA, whereas the other five were significantly affected by at least one type (whisking in air or on surfaces at 0.5 or 5 Hz) of response (Wilcoxon, control vs CA; p < 0.05). Four of the affected cells are shown in Figure 10. There were two main effects of CA. First, CA makes superior colliculus cells more responsive to low-frequency (0.5 Hz) whisking movement and active touch (Fig. 10). In some cases, unresponsive cells become responsive during CA. This effect is most obvious in Figure 10B,C, which shows the effect of CA on two cells that had small or negligible responses to whisking in air or whisking on a surface during control. During CA, both cells responded robustly to whisking in air and whisking on a surface. Second, CA makes cells respond more robustly to high-frequency (5 Hz) whisking movement and active touch. Consequently, frequency-dependent adaptation is reduced during cholinergic activation in the superior colliculus. This effect of CA adaptation is obvious in the three cells shown in Figures 10A–C. During control, these cells had negligible responses during fictive whisking at 5 Hz but responses emerged during CA.

Figure 10.

Figure 10.

Examples of the effect of CA on single-unit responses evoked by fictive whisking in four different cells (AD). PSTHs are shown before and during application of CA (0.5 mm) for two fictive whisking frequencies (0.5 and 5 Hz). Bottom, The difference (CA − Control) between the drug and the control period responses to denote the changes produced by CA. Note that CA typically enhances the evoked responses. The p values of the paired comparison test (Wilcoxon) are displayed.

In contrast to the enhancing effects of CA, both NE (n = 2 cells) and 5HT (n = 4 cells) suppressed the responses to whisking movement and active touch in all of the six cells tested that had significant responses during control (Fig. 11 shows four of these cells). An additional nine cells were also tested but these had negligible responses during control and neither NE or 5HT unmasked any responses. Thus, although cholinergic activation makes some superior colliculus cells more responsive to whisking movement and active touch, monoaminergic activation suppresses these responses.

Figure 11.

Figure 11.

Examples of the effect of NE or 5HT on single-unit responses evoked by fictive whisking in four different cells (AD). PSTHs are shown before and during application of NE (0.5 mm) or 5HT (0.5 mm) for two fictive whisking frequencies (0.5 and 5 Hz). Bottom, The difference (NE − Control or 5HT − Control) between the drug and the control period responses to denote the changes produced by the drug. Note that NE and 5HT typically suppress the evoked responses. The p values of the paired comparison test (Wilcoxon) are displayed.

Discussion

Neurons in the intermediate layers of the superior colliculus that are sensitive to passive touch (deflection of stationary whiskers) are also sensitive to whisker movement (fictive whisking in air) and active touch (fictive whisking on a surface). One quarter of these cells discharge selectively during whisker movement, another quarter of these cells discharge selectively during active touch, whereas the remaining cells (two quarters) respond to whisker movement but are also either excited or inhibited by active touch. Whisker movement responses occur selectively during the onset of the whisker protraction between 5 and 20 ms, with either a single peak before 12 ms (peak1), a single peak after 12 ms (peak2), or they respond with both of these peaks. The majority of whisker movement cells have a peak2 response, which is mainly driven by corticotectal afferents that feed whisker movement activity from the barrel cortex.

Active touch responses occur later and last longer (15–40 ms) than whisker movement responses, and coincide with the middle portion of the rising phase of the protraction as whiskers brush the surface. A significant portion of the active touch response in superior colliculus is driven by corticotectal activity from barrel cortex. In addition, GABA-mediated synaptic inhibition has powerful control over spontaneous, passive touch, whisker movement, and active touch responses in superior colliculus. Finally, different neuromodulators have selective effects on whisker-sensitive cells in superior colliculus. Cholinergic activation leads to significant increases in spontaneous firing and makes cells more responsive to whisking movement and active touch, particularly at high frequencies. In contrast, noradrenergic or serotoninergic activation (monoaminergic activation) lead to slight but significant decreases in spontaneous firing and responsiveness. Noradrenergic activation appears to differentially affect trigeminotectal and corticotectal inputs by causing suppression and enhancement, respectively.

Cortical control of movement and touch responses in superior colliculus

Here we determined the role of trigeminotectal and corticotectal excitatory afferents in driving fictive whisking neural activity in superior colliculus. The results indicate that peak1 responses (<12 ms) driven by whisker movement or active touch are unaffected by manipulating responses in barrel cortex. In contrast, peak2 responses are highly sensitive to changes in barrel cortex; superior colliculus peak2 responses increased and decreased in unison with barrel cortex responses. Thus, whisker movement and active touch responses in superior colliculus are under the influence of barrel cortex activity. The portion of the whisker movement and active touch response that is influenced by corticotectal activity from barrel cortex occurs between 12 and 40 ms after whisker movement onset. This period corresponds to the middle segment of the whisker protraction, which crests at ∼50 ms. Thus, whisker movement and active touch activity in superior colliculus is under the direct influence of barrel cortex activity, particularly during the rising phase of the whisker protraction.

Inhibition regulates spontaneous activity and evoked responses

In addition to the excitatory afferents mentioned above, cells in the intermediate layers of superior colliculus are under inhibitory control from local interneurons and extrinsic sources (Isa and Hall, 2009). The main extrinsic GABAergic input is formed by afferents from the substantia nigra pars reticulata (Di Chiara et al., 1979; Harting et al., 1988; Redgrave et al., 1992; Kaneda et al., 2008). This nigrotectal pathway consists of ipsilateral GABAergic cells that project to the deeper layers of the superior colliculus where they directly contact cells that form the predorsal bundle as well as inhibitory interneurons (Harting et al., 1988; Redgrave et al., 1992; Kaneda et al., 2008). In cats, there is also a smaller contralateral projection, and sensory (visual) inputs have opposing effects on crossed and uncrossed nigrotectal cells (Jiang et al., 2003). The other extrinsic GABAergic input is formed by the incertotectal pathway, which consists of GABAergic cells from the zona incerta that project to the superior colliculus (Kim et al., 1992; Kolmac et al., 1998).

We found that block of GABA receptors unmasks robust spontaneous activity, which indicates that the spontaneous activity of whisker-sensitive cells in superior colliculus is under tight inhibitory control. This is significant because many of these cells are characterized by having no spontaneous activity (Hemelt and Keller, 2007; Cohen et al., 2008; Bezdudnaya and Castro-Alamancos, 2011). Block of GABA receptors also unmasks passive touch, whisker movement, and active-touch responses in superior colliculus. In fact, without synaptic inhibition, the superior colliculus loses its stereotyped peak1 and peak2 responses arising from trigeminal and cortical afferents, respectively. Instead, responses last for the duration of the whisker movement sequence. Knowing that whisker evoked responses in superior colliculus are under tight inhibitory control raises important questions for future work, such as what is the contribution of the different sources of inhibition (local, nigrotectal, and incertotectal) to shaping sensory responses and regulating spontaneous activity.

Neuromodulation as a substrate for changes in behavioral state

Recordings from freely behaving rats has recently revealed that the firing level of whisker-sensitive cells in superior colliculus is controlled by behavioral state (Cohen and Castro-Alamancos, 2010c). The firing rate is high (activated) during active exploration (which includes active whisking) and REM sleep, and much lower (deactivated) during awake immobility and slow-wave sleep (Cohen and Castro-Alamancos, 2010c). Particularly interesting are periods during awake immobility when superior colliculus firing ceases completely. Thus, the superior colliculus appears to come online during active exploratory states and rapidly goes offline during awake immobile periods. In addition, animals are better capable of detecting behaviorally relevant sensory stimuli if superior colliculus cells are in the activated state (Cohen and Castro-Alamancos, 2010b). The observation in the present study that the spontaneous firing of whisker-sensitive cells in the superior colliculus is controlled by synaptic inhibition raises the intriguing possibility that regulation of extrinsic or local inhibitory inputs causes the changes observed in spontaneous firing rate observed during behavior.

Neuromodulators (acting directly or indirectly by regulating inhibition) may also have a role in affecting the spontaneous firing of whisker-sensitive cells in superior colliculus during changes in behavioral states. Several neuromodulatory pathways project to the superior colliculus (see Introduction). Here we found that cholinergic stimulation in the superior colliculus sharply increases the spontaneous firing of whisker-sensitive cells. The activating effects of cholinergic stimulation are in line with the fact that acetylcholine depolarizes some superior colliculus neurons in vitro (Sooksawate and Isa, 2006). Moreover, the enhancing effect of cholinergic stimulation on spontaneous firing is much larger when inhibition is intact, suggesting that it may be partly caused by suppressing inhibition. Indeed, work in vitro has shown that cholinergic stimulation suppresses GABA mediated synaptic currents in superior colliculus (Li et al., 2004). Thus, cholinergic stimulation rapidly activates the superior colliculus and may mediate the enhanced firing observed in behaving animals during active exploration and/or REM sleep.

In contrast to the effect of cholinergic stimulation, we found that monoaminergic stimulation (i.e., noradrenergic or serotoninergic receptors) in the superior colliculus has a suppressive effect on the spontaneous firing of whisker-sensitive cells. A similar contrast between these neuromodulators has been previously found in the whisker thalamus (Hirata et al., 2006; Hirata and Castro-Alamancos, 2010). The suppressive effects of monoaminergic stimulation agree with previous effects of NE applied into the superficial layers of the superior colliculus, which tend to hyperpolarize cells and inhibit spontaneous and visual responses (Kayama and Sato, 1982; Tan et al., 1999). Similarly, 5HT has been shown to suppress visual responses in the superficial layers of the superior colliculus (Mooney et al., 1996). Monoaminergic activation may serve to rapidly suppress superior colliculus firing as dictated by behavioral state.

In addition to the robust changes in firing rates, neuromodulators affected both multi-whisker trigeminotectal (peak1) and corticotectal (peak2) responses differently. Noradrenergic stimulation suppressed trigeminotectal responses but enhanced corticotectal responses. One possibility to explain this finding is that trigeminotectal and corticotectal synapses are differently affected by noradrenergic stimulation. For example, in the whisker thalamus neuromodulators suppress corticothalamic but not trigeminothalamic synapses (Castro-Alamancos and Calcagnotto, 2001; Castro-Alamancos, 2002b). Future work in slices will need to test whether trigeminotectal and corticotectal synapses are differentially affected by noradrenergic receptor activation. In addition, cholinergic stimulation suppressed subthreshold FP responses but not suprathreshold MUA responses. The suppression of subthreshold responses may have been caused by a reduction in EPSP driving force due to the robust depolarization that likely underlies the increased spontaneous firing rate during cholinergic stimulation.

Conclusions

Our results indicate that whisker-sensitive cells in the intermediate layers of the superior colliculus show whisker movement and touch related activity that is driven by trigeminotectal inputs followed by corticotectal inputs during the rising phase of the whisker protraction. Synaptic inhibition controls spontaneous firing and is necessary for the distinctive peak1 and peak2 responses evoked by whisker stimulation to occur. Cholinergic and monoaminergic neuromodulation differently regulate evoked responses as well as the spontaneous firing of superior colliculus cells, and may set the distinct neural activity levels observed during different behavioral states.

Footnotes

This work was supported by the NIH.

The authors declare no competing financial interests.

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