Abstract
Maintenance of context is necessary for execution of appropriate responses to diverse environmental stimuli. The dorsolateral prefrontal cortex (DLPFC) plays a pivotal role in executive function, including working memory and representation of abstract rules. DLPFC activity is modulated by the ascending cholinergic system through nicotinic and muscarinic receptors. Although muscarinic receptors have been implicated in executive performance and gating of synaptic signals, their effect on local primate DLPFC neuronal activity in vivo during cognitive tasks remains poorly understood. Here, we examined the effects of muscarinic receptor blockade on rule-related activity in the macaque prefrontal cortex by combining iontophoretic application of the general muscarinic receptor antagonist scopolamine with single-cell recordings while monkeys performed a mnemonic rule-guided saccade task. We found that scopolamine reduced overall neuronal firing rate and impaired rule discriminability of task-selective cells. Saccade and visual direction selectivity measures were also reduced by muscarinic antagonism. These results demonstrate that blockade of muscarinic receptors in DLPFC creates deficits in working memory representation of rules in primates.
SIGNIFICANCE STATEMENT Acetylcholine plays a pivotal role in higher-order cognitive functions, including planning, reasoning, impulse-control, and making decisions based on contingencies or rules. Disruption of acetylcholine function is central to many psychiatric disorders manifesting cognitive impairments, including Alzheimer's disease. Although much is known about the involvement of acetylcholine and its receptors in arousal and attention, its involvement in working memory, an essential short-term memory component of cognition dependent on the integrity of prefrontal cortex, remains poorly understood. Herein, we explored the impact of suppressing acetylcholine signaling on neurons encoding memorized rules while macaque monkeys made responses based on those rules. Our findings provide insights into the neural mechanisms by which a disruption in acetylcholine function impairs working memory in the prefrontal cortex.
Keywords: DLPFC, iontophoresis, macaque, muscarinic, rule, saccade
Introduction
Flexible response to sensory stimuli is a hallmark of intelligent behavior. Appreciation of rules and context, and other executive functions, including working memory (WM), attention, and reasoning, are dependent on prefrontal cortex (PFC) (Miller and Cohen, 2001).
Through reciprocal connectivity with sensory, parietal, premotor, subcortical, and other prefrontal regions (Miller and Cohen, 2001), and extensive local connectivity that can generate recurrent activity (Levitt et al., 1993; Pucak et al., 1996), the dorsolateral PFC (DLPFC) is a suitable substrate for holding representations in WM (Goldman-Rakic, 1995) and facilitating contextually appropriate responses. DLPFC exhibits robust postsensory behaviorally relevant activity (Fuster and Alexander, 1971, Funahashi et al., 1989) with distractor resistance (Miller et al., 1996, Everling et al., 2002, Suzuki and Gottlieb, 2013, Jacob and Nieder, 2014), forming a “mental sketchpad,” a component of formal models of executive function (Baddeley and Hitch, 1974). This sustained activity is considered the cellular basis of WM (Goldman-Rakic, 1995). DLPFC neurons represent information on task-set (Sakai, 2008) and display discriminable rule-contingent activity in context-dependent tasks (White and Wise, 1999; Asaad et al., 2000; Wallis et al., 2001; Everling and DeSouza, 2005, Mian et al., 2014). Lesion studies in macaques and humans (Milner, 1963; Guitton et al., 1985; Funahashi et al., 1993) suggest that intact DLPFC is necessary for cognitive control. Buckley et al. (2009) found that focal principal sulcal lesions, but not orbitofrontal or anterior cingulate cortical lesions, affected performance in a rule-guided analog of the Wisconsin Card Sorting Test. DLPFC dysfunction contributes to cognitive deficits observed in psychiatric disorders, such as schizophrenia and Alzheimer's disease (Perlstein et al., 2001; Bussière et al., 2003; Schroeter et al., 2012; Konopaske et al., 2014).
The DLPFC receives substantial input from ascending monoaminergic and cholinergic systems (Robbins, 2005). The cholinergic system acts upon cortical nicotinic and muscarinic receptors (Mash et al., 1988; Han et al., 2000) and releases acetylcholine (ACh) based on attentional effort (Kozak et al., 2006) and arousal (Phillis, 1968). Numerous studies have found that muscarinic antagonist scopolamine attenuates various behavioral measures (Taffe et al., 1999; for review, see Klinkenberg and Blokland, 2010), including WM (Green et al., 2005) and representation of task rules (Saar et al., 2001; Thomas et al., 2008; Snyder et al., 2014). Using a cholinergic-selective immunotoxin, Croxson et al. (2011) found that cholinergic deafferentation of DLPFC selectively affects spatial WM performance while sparing other cognitively demanding tasks involving strategy implementation and episodic memory.
Muscarinic antagonism can elicit psychotic states reminiscent of schizophrenia, which has been termed anti-muscarinic syndrome (Barak and Weiner, 2009). Schizophrenics homozygous for an M1 receptor (M1R) polymorphism have deficits in Wisconsin Card Sorting Test performance (Liao et al., 2003; Scarr et al., 2012), and muscarinic enhancers are being explored intensively for amelioration of cognitive deficits in schizophrenia and Alzheimer's disease (Shekhar et al., 2008).
Although behavioral outcomes of systemic muscarinic antagonism have been extensively explored, there are fewer studies examining effects of scopolamine on DLPFC neuronal physiology. Zhou et al. (2011) reported marked suppression of DLPFC neurons in the memory period with concomitant behavioral degradation upon systemic scopolamine administration. However, because scopolamine was systemically administered, it is unclear whether the DLPFC neuronal suppression involved local muscarinic modulation or was a consequence of dysregulation of inputs to DLPFC circuitry. Here, we performed concurrent in vivo single-cell electrophysiology and iontophoresis of scopolamine in DLPFC of monkeys performing a rule-guided WM task to investigate the role of muscarinic receptors in the maintenance of task rules. The task required subjects to execute a pro- or anti-saccade based upon a previously remembered rule (prompted by an initial visual cue). DLPFC neuronal activity shows mnemonic representations of rules used to direct saccade outcome (Everling and DeSouza, 2005; Johnston and Everling, 2006; Johnston et al., 2009), and deactivation of the DLPFC impairs performance of this task (Koval et al., 2011; Hussein et al., 2014).
Materials and Methods
Experimental procedures were performed on two adult male rhesus macaque monkeys (Macaca mulatta) in accordance with the Canadian Council of Animal Care policy and a protocol approved by the Animal Use Subcommittee of the University of Western Ontario Council on Animal Care. Both animals had a plastic head restraint and plastic recording chambers implanted above their right lateral PFC as described previously (Skoblenick and Everling, 2012).
Behavioral task.
Both animals were trained on the gap variant of a pro- and anti-saccade task (Fig. 1A). Monkeys were seated in a primate chair in a shielded chamber with their heads restrained and faced a 21 inch CRT monitor 51 cm in front of them. Horizontal and vertical eye movements were recorded at 1 kHz with an EyeLink 1000 infrared eye tracker and software package (SR Research). The task, behavior monitoring, and reward delivery were controlled using CORTEX (National Institutes of Mental Health). Trials began with presentation of a central gray filled fixation circle (0.5° diameter). After an initial 300 ms fixation period, the fixation stimulus briefly changed color to red or green for 100 ms, indicating the task rule (pro- or anti-saccade) of the current trial. Rule colors were counterbalanced between subjects. The subjects were required to remember the rule through a delay period (800–1300 ms) during which the fixation spot reverted to gray. The fixation spot was extinguished for 150–300 ms (gap period), and a peripheral stimulus (17.5° from center, 0.5° diameter) was then presented. The gap was introduced to increase task difficulty (Everling et al., 1998). The subjects were required to make the appropriate saccade toward (pro-saccade) or away from (anti-saccade) the stimulus, depending on the current trial's rule. Rule and stimulus combinations were presented in pseudorandom order. To obtain a liquid reward, the subjects had to maintain fixation during the fixation, cue, and delay periods, make the appropriate saccade within 500 ms, and maintain fixation on the stimulus (or blank space in the case of anti-saccade trials) for 120 ms. Trials were separated by a 1700–2200 ms intertrial interval (ITI). Performance was defined as the proportion of completed trials (i.e., animal did not break central fixation until stimulus period) that resulted in a correct saccade. Saccade onset was defined as the moment eye velocity surpassed 30°/s, and saccadic reaction time (SRT) was defined as the time from the peripheral stimulus onset to saccade onset.
One of the confounds of this color-cued task is that differential activity related to the rule during the presentation of the colored cue and the subsequent delay epoch may merely reflect a WM representation for the color of the rule-cue rather than being a WM representation of the abstract rule. We think this is unlikely based on previous work in our laboratory examining the activity of neurons in this area during a variant of the pro- and anti-saccade task that does not involve explicit rule instruction (Everling and DeSouza, 2005; Johnston et al., 2007). In this task variant, monkeys were trained to perform alternating blocks of pro- and anti-saccade trials without any explicit color cue instructing them on the appropriate response. Instead, when the block changes to the other rule, the monkeys would initially make an incorrect response based on the previous rule, but upon receiving no reward must switch to the updated block rule and appropriate response (pro- or anti-saccade) contingent on reward feedback. In this uncued version of the task (Everling and DeSouza, 2005; same DLPFC loci as the present study), DLPFC neurons consistently displayed differential activity for pro- and anti-saccades, which cannot be a consequence of WM for rule-cue color attributes because the fixation spot remains the same color (white) throughout the trial and rule representations are internally generated based on reward feedback.
In vivo extracellular recordings and iontophoresis.
Scopolamine was iontophoretically administered using custom seven-barreled glass iontophoretic electrodes. The design and fabrication of the electrodes were similar to Vijayraghavan et al. (2007). A 50-μm-pitch tungsten wire, 110 mm in length (Midwest Tungsten Service), was electrochemically etched (model EE-ID, Bak Electronics) using a sodium nitrite and potassium hydroxide solution as described previously (Thiele et al., 2006), creating a fine wire tip. This wire was inserted into the central barrel of a multibarreled pipette (Friedrich and Dimmock), and the assembly was pulled using a PMP107L-e Multipipette Puller (MicroData Instrument), resulting in a 10.5-cm-long electrode shaft and a thin glass tip on the order of 15–30 μm. Typical impedances were between 0.5 and 1 mΩ (measured at 1 kHz; IMP-1, Bak Electronics). Neuronal signals were amplified, digitized, and filtered (300 Hz–6 kHz, four-pole Bessel) with an OmniPlex Neural Data Acquisition System (Plexon).
Scopolamine hydrobromide (Tocris Bioscience; 100 mm in pH 3 deionized water) was stored in 30 μl aliquots at −20°C. Before use, scopolamine was thawed and inserted into peripheral glass capillaries of the iontophoretic electrode, then pushed to the tip of the electrode using compressed air. Tungsten wires (FHC) were inserted into each peripheral capillary and connected to a Neuro Phore BH-2 iontophoretic ejection system (Harvard Apparatus). DC impedances of drug barrels varied, typically between 50 and 300 mΩ. The electrode was mounted on a hydraulic micromanipulator (MO-95, Narishige) and lowered into cortex through a 23-gauge dura-penetrating stainless steel guide tube. A plastic recording grid (1 mm spacing; Crist Instruments) was used to guide chamber placement. A schematic of the approximate recording locus around the principal sulcus in DLPFC is shown in Figure 1B. Constant ejection currents ranging from 10 to 100 nA were manually set by the experimenter during the course of scopolamine conditions. Because we had no a priori predictions regarding the strength of potential scopolamine modulation of PFC neurons, we tested a broad range of scopolamine doses in this study. The median current strength of scopolamine ejection used in this study was 40 nA (25th percentile, 20 nA; 75th percentile, 60 nA). A retention current of −8 nA was passed over each drug barrel during control periods. Current balancing was not required at ejection currents of this magnitude (Vijayraghavan et al., 2007). At these currents, drug ejection did not create noise in the system or affect unit physiology (Vijayraghavan et al., 2007). After control periods of at least 10 min, a drug condition followed with comparable duration. Multiple scopolamine doses and post-scopolamine recovery conditions were occasionally tested on the same neuron to observe dose-dependent effects on neuronal activity and drug specificity, respectively. Cells were rejected if a sufficient number of correct trials were not obtained (at least 8 per rule-saccade direction combination) or if control condition activity was <1 spikes/s.
Data analysis.
Neuron waveforms were sorted using principal component cluster space segregation (Offline Sorter; Plexon). Data analysis was performed with custom-written programs in MATLAB (The MathWorks). Spike density functions were constructed by convolving spike trains with a 50 ms Gaussian activation function. Trialwise rasters and spike density functions were aligned to peripheral stimulus onset. The delay epoch was defined as time from cue offset to stimulus onset +70 ms (i.e., to allow time for visual information to reach DLPFC; Johnston et al., 2009). Rule selectivities for control and drug conditions were evaluated using area under the receiver operating characteristic (AUROC), a nonparametric measure of discriminability between two distributions (Green and Swets, 1966). AUROCs (1000 steps) were computed using mean firing rate (FR) from pro-saccade rule trials and anti-saccade rule trials during the entire delay epoch. AUROC values range from 0 to 1, with completely overlapping distributions having an AUROC of 0.5, and distributions with greater FR for either pro-saccade or anti-saccade trials approaching values of 1 or 0, respectively. The significance of the AUROC metric obtained was estimated using a bootstrapping procedure, whereby control trial FRs were randomly assigned to pro- or anti-saccade rule trials and the AUROC for shuffled trial FR distributions was computed (Everling and DeSouza, 2005). A neuron's firing profile was deemed significantly selective if the original AUROC was <5th percentile or >95th percentile of the shuffled AUROCs from 10,000 iterations. For all neurons with a significantly selective AUROC, the rule eliciting greater FR during the delay epoch of the control condition was set as the preferred rule. The AUROCs of neurons with the preferred rule set as antisaccade were inverted (1 − AUROC), such that their AUROCs in the control condition were now also between 0.5 and 1 (i.e., AUROC values now represented selectivity for the preferred vs nonpreferred rule). The same analysis was performed during the stimulus epoch (stimulus onset +70 ms to saccade onset +120 ms) for preferred and nonpreferred rule, saccade direction, and visual stimulus direction to evaluate selectivity and significance. As a decrease in AUROC can be explained by either decreased mean FR difference or increased trial-to-trial FR variance, the Fano factor was calculated to inspect changes to neuronal reliability. This was calculated as trialwise FR variance divided by the mean for control and drug epochs. Normalized population spike density functions across all rule-selective neurons were constructed in the delay epoch for the preferred and nonpreferred rule using the following:
where FRmin and FRmax are the minimum and maximum of the smoothed spike density functions in both control and scopolamine conditions. Normalized spike density functions of all rule cells in the delay epoch were then averaged. Identical normalizations were performed for rule, directional, and visual neurons in the stimulus epoch.
Results
Combined single-neuron recordings and iontophoretic scopolamine applications were performed in 82 experimental sessions (44 from Monkey O, 38 from Monkey T), and 135 total neurons were recorded (72 from Monkey O, 63 from Monkey T). Monkeys performed the behavioral saccade task during control and scopolamine conditions, each typically lasting a minimum of 10 min. No significant differences in pro-saccade performance (control 86.5 ± 1.1% vs scopolamine 87.5 ± 0.9%, p = 0.51, Wilcoxon signed rank test) or anti-saccade SRT (195.3 ± 2.0 ms vs 197.0 ± 2.2 ms, p = 0.20) were observed during scopolamine conditions. Upon scopolamine application, increases in pro-saccade SRT (144.8 ± 2.1 ms vs 147.8 ± 1.9 ms, p = 0.015) and decreases in anti-saccade performance (77.5 ± 1.1% vs 75.4 ± 1.3%, p = 0.047) did reach statistical significance. However, these effects were miniscule, and values did not significantly return to control levels when recovery conditions were tested (pro-saccade SRT: p = 0.43; anti-saccade performance: p = 0.56).
Scopolamine decreases overall FRs in DLPFC neurons
The most conspicuous effect of scopolamine was strong and significant attenuation of neuronal FR in all task epochs. Figure 2A shows the mean FRs of all recorded neurons during the delay, stimulus, and ITI epochs. Scopolamine application attenuated population FR in all epochs (Fig. 2A; p < 0.0001, Wilcoxon signed rank test with Holm-Bonferroni correction). This inhibitory effect was dose-dependent (Fig. 2B). Figure 2B shows decreases in normalized mean activity for neurons subject to various doses of scopolamine. Four doses were defined to exemplify the progressive effect of scopolamine dosage. To determine whether the effects of scopolamine were selectively physiological in nature, and not a consequence of loss of isolation or other unrelated effects, we examined recovery after cessation of drug application in 44 neurons. Figure 2C shows the normalized mean FRs for scopolamine application followed by recovery for 44 neurons. During recovery after scopolamine-induced suppression, population activity was significantly greater than during the scopolamine conditions (p = 0.00024, Wilcoxon signed rank test with Holm-Bonferroni correction).
Scopolamine reduces rule selectivity in the delay epoch of DLPFC neurons
We examined the rule selectivity of DLPFC neuronal firing before and after scopolamine application. Figure 3A shows an example of scopolamine administration on a single rule-selective neuron. Rasters and spike density functions for pro-saccade (blue traces) and anti-saccade (orange traces) trials are shown in control and scopolamine conditions. Rule selectivity was quantified in the delay epoch using the AUROC metric (see Materials and Methods). Iontophoretic administration of scopolamine resulted in a decrease in rule selectivity for this neuron, as determined by AUROC. Importantly, the effect of scopolamine was dose-dependent. Incremental doses led to attenuation of FR and rule selectivity in the delay epoch (e.g., FR: control 15.8 ± 0.6 spikes/s vs 60 nA scopolamine 10.2 ± 0.4 spikes/s, p < 0.0001, Wilcoxon rank sum test; AUROC: control 0.91 vs 60 nA scopolamine 0.84). This dose-dependent effect on FR is seen consistently in DLPFC neurons, as seen in Figure 3B, which shows 11 neurons given this dosing regimen. Of these 11 neurons, seven were significantly rule-selective based on AUROC analysis. Figure 3C displays how normalized FRs for the preferred and nonpreferred rules in these seven cells changed over the course of the four scopolamine doses. Scopolamine decreased normalized FR for both preferred and nonpreferred rules, with slightly greater decreases for the preferred rule. The difference in effect of scopolamine for preferred versus nonpreferred rules became significant at the 60 nA dose of scopolamine (p = 0.016, Wilcoxon signed rank test), when there was substantial suppression of neuronal activity. Thus, scopolamine monotonically decreased firing for both preferred and nonpreferred rules. Figure 3D illustrates the concomitant decrease in rule selectivity over the course of these four doses. Consistent with the effect on preferred and nonpreferred rules, there was a decrease in AUROC that reached significance at 60 nA of scopolamine (p = 0.047, Wilcoxon signed rank test).
Figure 4A shows another example of a rule-selective neuron. This neuron had greater activity during pro-saccade trials than anti-saccade trials in the delay epoch (pro-saccade: 30.0 ± 0.84 spikes/s vs anti-saccade: 20.8 ± 0.90 spikes/s, p < 0.0001, Wilcoxon rank sum test). Scopolamine decreased rule selectivity for this neuron, as determined by AUROC (control 0.85 vs scopolamine 0.68). Of our sample of 135 DLPFC neurons, 30 (17 from Monkey O, 13 from Monkey T; 19 pro-saccade-preferring, 11 anti-saccade-preferring) were found to be significantly rule-selective. Population-normalized spike density functions were constructed for these 30 neurons, which are shown in Figure 4B. Scopolamine substantially reduced the population firing and abolished selectivity in the delay epoch. Figure 4C shows a scatter plot of AUROC values (preferred vs nonpreferred rule) in the control condition versus the scopolamine condition. A total of 27 of 30 recorded neurons showed lower AUROC values in the scopolamine condition compared with the control condition. AUROC values were significantly reduced in the scopolamine condition (control: 0.65 ± 0.018 vs scopolamine: 0.55 ± 0.018, p = 0.00014, Wilcoxon signed rank test). Next, we examined whether rule selectivity reduction induced by scopolamine was due to changes in preferred or nonpreferred rule firing. Reduction in FR was found to be greater for the preferred rule than for the nonpreferred rule (Fig. 4D; preferred: −9.9 ± 2.6 spikes/s vs nonpreferred: −7.5 ± 2.2 spikes/s, p = 0.00015, Wilcoxon signed rank test).
Scopolamine reduces rule selectivity in the stimulus epoch of DLPFC neurons
We further examined rule selectivity in the stimulus epoch. Figure 5A shows a DLPFC neuron with rule selectivity in the stimulus epoch, with greater stimulus epoch activity during anti-saccade trials (pro-saccade: 9.0 ± 0.71 spikes/s vs anti-saccade: 12.1 ± 0.72 spikes/s, p = 0.0018, Wilcoxon rank sum test). Scopolamine suppressed neuronal activity, leading to a reduction in rule-related activity in the stimulus epoch (control: 10.7 ± 0.52 spikes/s vs scopolamine: 4.5 ± 0.30 spikes/s, p < 0.0001, Wilcoxon rank sum test). A total of 38 neurons (22 from Monkey O, 16 from Monkey T; 14 pro-saccade-preferring, 24 anti-saccade-preferring) were determined to be significantly rule-selective in the stimulus epoch based on AUROC analysis. The average normalized population spike density functions for these 38 neurons (Fig. 5B) show decrement in selectivity upon scopolamine application. AUROC values decreased after scopolamine application in 32 of 38 neurons (Fig. 5C) with a significant reduction in overall stimulus rule selectivity (control: 0.65 ± 0.011 vs scopolamine: 0.54 ± 0.012, p < 0.0001, Wilcoxon signed rank test). Again, scopolamine decreased rule selectivity by decreasing the FR for the preferred rule more than the nonpreferred rule (Fig. 5D; preferred: −12.6 ± 2.3 spikes/s vs nonpreferred: −7.6 ± 1.6 spikes/s; p < 0.0001, Wilcoxon signed rank test).
Scopolamine reduces saccadic and visual selectivity of DLPFC neurons
Next, we characterized the effects of scopolamine application on DLPFC neurons displaying motor-related perisaccadic activity and sensory visual activity related to the peripheral stimulus.
Figure 6A is an example of a saccade direction-selective DLPFC neuron. Trials are separated based on the direction of saccades (green trace represents contralateral; purple trace represents ipsilateral). This neuron showed greater perisaccadic activity for the contralateral direction (23.0 ± 1.7 spikes/s) than the ipsilateral direction (18.9 ± 2.1 spikes/s, p = 0.027, Wilcoxon rank sum test). Of 135 total neurons, 52 (28 from Monkey O, 24 from Monkey T; 37 contralateral saccade-preferring, 15 ipsilateral saccade-preferring) demonstrated significant saccade direction tuning, based on AUROC analysis. Normalized spike density functions, constructed based on preferred and nonpreferred saccade direction, show a marked reduction in saccade-related firing in the stimulus epoch (Fig. 6B). Scopolamine application significantly decreased saccade direction selectivity in these neurons as shown by the shift in AUROC values (Fig. 6C; control: 0.69 ± 0.011 vs scopolamine: 0.58 ± 0.014, p < 0.0001, Wilcoxon signed rank test). Loss of selectivity was caused by preferentially greater inhibition to the preferred saccade direction (Fig. 6D; preferred: −13.4 ± 2.0 spikes/s vs nonpreferred: −8.5 ± 1.7 spikes/s, p < 0.0001, Wilcoxon signed rank test).
Figure 7A shows a neuron displaying stimulus epoch selectivity for the contralateral peripheral stimulus. This neuron showed greater activity following contralateral stimulus onset than after the ipsilateral stimulus (contralateral: 29.9 ± 1.4 spikes/s vs ipsilateral: 23.6 ± 1.3 spikes/s, p = 0.0054, Wilcoxon rank sum test). AUROC analysis of visual selectivity in the stimulus epoch revealed 36 neurons with significant hemispheric discriminability to stimulus presentation in the control condition (16 from Monkey O, 20 from Monkey T; 25 contralateral stimulus-preferring, 11 ipsilateral stimulus-preferring). Population-normalized spike density functions of these visual neurons, shown in Figure 7B, demonstrate the pronounced suppression induced by scopolamine. AUROC values for these neurons were significantly decreased upon scopolamine administration (Fig. 7C; control: 0.66 ± 0.010 vs scopolamine: 0.54 ± 0.013, p < 0.0001, Wilcoxon signed rank test). This deterioration of visual selectivity was again due to greater collapse in excitation for the preferred stimulus direction compared with the nonpreferred stimulus direction (Fig. 7D; preferred: −10.9 ± 2.0 spikes/s vs nonpreferred: −6.8 ± 1.6 spikes/s; p < 0.0001, Wilcoxon signed rank test).
Scopolamine effects on units showing selectivity for multiple task aspects
PFC units generally display complex activity related to task attributes during cognitive performance, whereby single units may display selective activity related to different task aspects (Asaad et al., 2000). After determining neuron selectivity in our population for rule-related selectivity in delay and stimulus epochs, saccade direction selectivity, and visual stimulus direction selectivity, we also examined scopolamine effects on selectivity in neuronal firing for multiple aspects of the task. We identified units that showed significant selectivity in the control period for pairwise combinations of the aforementioned task aspects. The objective was to ascertain whether scopolamine had stronger effects on selectivity for one aspect of task-related firing over another. Table 1 shows the overall unit counts displaying selectivity for the various task components and dual selectivity for pairwise combinations of these components. We examined scopolamine-induced changes in AUROC-based selectivity for constituent components in these units showing compound selectivity and compared them using the Wilcoxon signed rank test (for example, in units showing significant selectivity for both rule and saccade direction, we compared scopolamine-induced change in rule AUROC and change in saccade direction AUROC). Overall, we found no selective effects of scopolamine on selectivity for particular aspects of the task over other aspects in such units with complex selectivity profiles. Thus, scopolamine appears to cause general disruption of all task-related firing attributes of DLPFC units.
Table 1.
Activity type | Rule: delay epoch | Rule: stimulus epoch | Saccade direction | Visual stimulus direction |
---|---|---|---|---|
Rule: delay epoch | 30 | — | — | — |
Rule: stimulus epoch | 14 | 38 | — | — |
Saccade direction | 16 | 20 | 52 | — |
Visual stimulus direction | 11 | 18 | 23 | 36 |
aShown are unit counts displaying significant AUROC-based selectivity for different task aspects. On the diagonal are the overall numbers of significant units for each individual task aspect (see Figures 4–7). Counts of neurons with significant dual selectivity for the respective activity types are shown. For example, 23 neurons displayed both significant saccade direction selectivity and significant visual stimulus direction selectivity.
Scopolamine does not change reliability of neuronal firing
Because the AUROC is a nonparametric measure accounting for changes both in the mean and the variance of the distributions being compared, we wished to ascertain whether AUROC reductions upon scopolamine application were due to changes in the FR mean or changes in trial-to-trial variability. To exclude possible changes in reliability of neuronal firing, delay epoch Fano factor was calculated, yielding no significant differences between control and scopolamine conditions (pro-saccade: control 2.7 ± 0.28 vs scopolamine 2.6 ± 0.36, p = 0.17; anti-saccade: 3.0 ± 0.36 vs 2.4 ± 0.22, p = 0.21, Wilcoxon signed rank test).
Discussion
The PFC receives substantial inputs from the ascending cholinergic system (Robbins, 2005), which influences learning and memory, attention, arousal, and sensory discrimination (Luchicchi et al., 2014). This study attempts to address a gap in our knowledge of the physiological underpinnings of cholinergic modulation of DLPFC neurons underlying executive functions. We found that local muscarinic blockade of monkey DLPFC markedly suppressed neuronal firing and reduced selectivity for rule-mnemonic, saccade- and sensory-related activity.
Cognitive domains influenced by the cholinergic system are manifold (Klinkenberg and Blokland, 2010; Bubser et al., 2012) and cause a variety of well-examined behavioral deficits, including spatial (Rupniak et al., 1991; Green et al., 2005) and nonspatial memory (Thienel et al., 2009), attention (Spinelli et al., 2006; Fredrickson et al., 2008; Furey et al., 2008), sensory discrimination (Evans, 1975; Bartus and Johnson, 1976), and rule maintenance (Thomas et al., 2008; Snyder et al., 2014).
The muscarinic system in PFC appears to play a prominent role in WM function. In rats, both microinfusion of scopolamine into medial PFC and ablation of basal forebrain cholinergic projections disrupt WM performance (Chudasama et al., 2004). Cholinergic tone is also a prerequisite for intact WM function in monkey PFC. Prefrontal cholinergic deafferentation using a cholinergic neuron-specific immunotoxin selectively causes delay-length-dependent deficits in WM performance, but not in other cognitively demanding tasks (Croxson et al., 2011). These deficits are consistent with our observed suppression of delay epoch selectivity in rule neurons; and indeed, such suppression may be the basis of the deficits. In agreement with this, a human imaging study found scopolamine-induced degradation in parahippocampal persistent activity (Schon et al., 2005).
The observed scopolamine-induced neuronal suppression herein is in accord with activity in DLPFC after systemic scopolamine administration (Zhou et al., 2011) and V1 after iontophoretic scopolamine application (Herrero et al., 2008). However, Miller and Desimone (1993) found paradoxical increases in stimulus-responsive activity of macaque inferotemporal neurons after systemic scopolamine administration during delayed match-to-sample performance, although spontaneous activity remained unchanged, suggesting that scopolamine-induced suppression is not universal. Indeed, our results suggest that suppression due to systemic muscarinic blockade (Zhou et al., 2011) can be a direct consequence of PFC muscarinic antagonism and not due to indirect network-effects on activity in other brain areas with PFC connectivity.
ACh affects the physiology of macaque MT neurons and their motion discriminability (Thiele et al., 2012), suggesting a role of cholinergic signaling in effective filtering of information (Thiele, 2013). This is also evident from the attenuation of attentional modulation in primary visual cortex by iontophoretic application of scopolamine (Herrero et al., 2008). Here, we examined the effects of muscarinic modulation on neuronal selectivity for mnemonic rule representation in DLPFC. We find general scopolamine-induced neuronal suppression at various doses, in contrast to Herrero et al. (2008), wherein scopolamine selectively attenuated the attentional component of V1 firing. This difference could be due to differential expression of M1Rs between DLPFC and V1; M1R expression in the latter is higher in parvalbumin-positive interneurons (Disney and Aoki, 2008). Scopolamine-induced reduction in rule selectivity found in this study is consistent with results from Zhou et al. (2011), wherein rule selectivity of DLPFC neurons was degraded during the delay epoch of spatial WM and delayed match-to-sample tasks. They also found scopolamine-induced delay-dependent deficits in behavioral performance, which were interestingly unaffected by distractor load. In contrast to rule selectivity, stimulus selectivity of DLPFC neurons was found to be unaffected by scopolamine (Zhou et al., 2011). Here, we found that peripheral stimulus selectivity was also reduced. We hypothesize that this difference is explained by the different dosing contexts of systemic administration and the focal administration here. Furthermore, suppression of visual-related activity found herein could potentially shed light on the lack of interaction of scopolamine modulation and distractor load found in that study. If visual activity is suppressed, then distractor salience may be comparably reduced, which may contribute to the lack of interaction between distractor load and scopolamine-induced behavioral degradation found in spatial WM (Zhou et al., 2011) and found in delayed match-to-sample performance by Miller and Desimone (1993), where scopolamine effects were independent of the number of intervening stimuli (analogous to distractors). This is also in concord with Parikh et al. (2007), who found transient increases in ACh release in rat medial PFC after cue presentation in a cue-detection task, and lack thereof for undetected cues, indicating that salient visual stimuli (e.g., cue or distractor) evoke ACh release, which would then modulate neuronal visually evoked transients. Cholinergic blockade would disrupt this modulation of visual-stimulus salience.
We also report that scopolamine suppressed the selectivity of DLPFC neurons possessing perisaccadic activity. Funahashi et al. (1991) observed perisaccadically active neurons in DLPFC, which may be a manifestation of influence on saccade generation circuitry (Watanabe et al., 2006), corollary discharge feedback about eye position (Sommer and Wurtz, 2008), or saccadic remapping, which updates cortical maps before an impending saccade (Colby et al., 1995).
Zhou et al. (2011) also reported marginal scopolamine-induced changes in saccadic latency (∼5 ms) and increased saccadic dispersion in the delayed response task, but saccades to visual stimuli with zero delay were unaffected. Because this was a systemic study, it is uncertain whether scopolamine's influence on saccadic neurons contributed to these small effects. Subtle changes in WM task saccadic latencies are consistent with effects on DLPFC, which is not directly involved in saccade generation. Similarly, dopamine D1 receptor agonist infusions in DLPFC disrupted oculomotor delayed response while sparing visually guided saccades (Gamo et al., 2015), whereas iontophoretic activation of D2 receptors selectively modulates perisaccadic activity and not delay activity (Williams and Goldman-Rakic, 1995; Wang et al., 2004). Thus, the contribution of neurons with perisaccadic activity to DLPFC circuitry and behavioral performance is fraught with interest, and further elucidation of neuromodulatory influences on these cells is required. Our results suggest that, in addition to other neurotransmitter systems, muscarinic receptors also modulate perisaccadic DLPFC activity.
Slice physiology also supports a putative cholinergic role in the physiology of recurrent activity (Egorov et al., 2002), which is considered the basis of persistent activity in the delay period of WM tasks (Goldman-Rakic, 1995).
Microiontophoretic and systemic injection studies of other modulatory systems, such as catecholaminergic (Wang et al., 2004; Vijayraghavan et al., 2007; Gamo et al., 2010), nicotinic (Yang et al., 2013), serotonergic (Williams et al., 2002), and glutamatergic receptors (Skoblenick and Everling, 2012; Wang et al., 2013), have yielded valuable insights upon the physiological basis of neuromodulation of cognitive circuitry. An emerging focus in the study of cognitive neuromodulation is the dendritic spine of PFC pyramidal cells, where a constellation of receptors, ion channels, and intracellular signaling molecules are found in proximity, acting by diverse mechanisms to augment or shunt spinal synaptic input and its influence on excitability, leading to a form of ongoing plasticity termed dynamic network connectivity (Arnsten et al., 2012). Two main subtypes of muscarinic receptors mediate cholinergic modulation in PFC: the Gq-coupled M1- and Gi/o-coupled M2-receptor families (Caulfield, 1993). M1Rs are prominently expressed in PFC postsynaptically (Mrzljak et al., 1993; Medalla and Barbas, 2012) and have mostly depolarizing effects (Levey, 1996), whereas the M2 receptor mainly functions as an autoreceptor influencing presynaptic ACh and other neurotransmitter release (Zhang et al., 2002), although it is also found postsynaptically on both PFC pyramids and interneurons (Mrzljak et al., 1993; Medalla and Barbas, 2012). Thus, scopolamine-induced general suppression found here is likely mediated by M1Rs. M1Rs are expressed in asymmetric synapses on PFC spines (Mrzljak et al., 1993), well positioned to augment synaptic inputs and increase neuronal excitability through closure of KCNQ potassium channels mediating the M-current (Arnsten et al., 2012). Consistent with this hypothesis, iontophoretic KCNQ channel blockade augments persistent activity in macaque DLPFC delay neurons (Wang et al., 2011).
There has been burgeoning interest in pharmacological targeting of muscarinic receptors in the treatment of schizophrenia and Alzheimer's disease. Notably, allelic variants of genes encoding several intracellular messengers, which have been localized to PFC pyramidal spines, have been linked to psychiatric disorders (Erdely et al., 2006; Kirkpatrick et al., 2006). Alleles of PIP5K2A, a phosphoinositol pathway regulator of KCNQ channel function, are linked with schizophrenia (Fedorenko et al., 2008). Thus, M1R and its downstream mediators offer an attractive target for pharmaceutical intervention in these disorders of cognition. Alzheimer's disease is characterized by degeneration of ACh-producing basal forebrain neurons, and postmortem histology has revealed abnormal muscarinic receptor expression in PFC, including decreased M1R protein (Flynn et al., 1995). Schizophrenic patients also have decreased M1R expression in DLPFC (Dean et al., 2002). Additionally, some of the efficacy of clozapine-like atypical antipsychotics can be attributed to muscarinic regulation of dopamine signaling (Bymaster et al., 2003; Tzavara et al., 2004). The M1R agonist xanomeline (Bodick et al., 1997; Shekhar et al., 2008) has been investigated for clinical efficacy in treatment of schizophrenia and Alzheimer's disease, and the muscarinic allosteric modulator 1-((4-cyano-4-(pyri-dine-2-yl)piperidin-1-yl)methyl-4-oxo-4 H-quinolizine-3-carboxylic acid (PQCA) ameliorates scopolamine-induced cognitive performance deficits in multiple animal models (Uslaner et al., 2013). The present results further support a role of muscarinic receptors in higher-order cognitive processing in primates and encourage future examination of subtype-specific contributions.
Footnotes
This work was supported by Canadian Institutes of Health Research Operating Grant to S.E.
The authors declare no competing financial interests.
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