Skip to main content
The Journal of Neuroscience logoLink to The Journal of Neuroscience
. 2021 Aug 25;41(34):7246–7258. doi: 10.1523/JNEUROSCI.0227-21.2021

Flexible versus Fixed Spatial Self-Ordered Response Sequencing: Effects of Inactivation and Neurochemical Modulation of Ventrolateral Prefrontal Cortex

S F A Axelsson 1,2, N K Horst 1,2, Naotaka Horiguchi 1,2, A C Roberts 3,2,*,, T W Robbins 1,2,*,
PMCID: PMC8387118  EMSID: EMS130939  PMID: 34261701

Abstract

Previously, studies using human neuroimaging and excitotoxic lesions in non-human primate have demonstrated an important role of ventrolateral prefrontal cortex (vlPFC) in higher order cognitive functions such as cognitive flexibility and the planning of behavioral sequences. In the present experiments, we tested effects on performance of temporary inactivation (using GABA receptor agonists) and dopamine (DA) D2 and 5-HT2A-receptor (R) blockade of vlPFC via local intracerebral infusions in the marmoset. We trained common marmosets to perform spatial self-ordered sequencing tasks in which one cohort of animals performed two and three response sequences on a continuously varying spatial array of response options on a touch-sensitive screen. Inactivation of vlPFC produced a marked disruption of accuracy of sequencing which also exhibited significant error perseveration. There were somewhat contrasting effects of D2 and 5-HT2A-R blockade, with the former producing error perseveration on incorrect trials, though not significantly impairing accuracy overall, and the latter significantly impairing accuracy but not error perseveration. A second cohort of marmosets were directly compared on performance of fixed versus variable spatial arrays. Inactivation of vlPFC again impaired self-ordered sequencing, but only with varying, and not fixed spatial arrays, the latter leading to the consistent use of fewer, preferred sequences. These findings add to evidence that vlPFC is implicated in goal-directed behavior that requires higher-order response heuristics that can be applied flexibly over different (variable), as compared with fixed stimulus exemplars. They also show that dopaminergic and serotonergic chemomodulation has distinctive effects on such performance.

SIGNIFICANCE STATEMENT This investigation employing local intracerebral infusions to inactivate the lateral prefrontal cortex (PFC) of the New World marmoset reveals the important role of this region in self-ordered response sequencing in variable but not fixed spatial arrays. These novel findings emphasize the higher order functions of this region, contributing to cognitive flexibility and planning of goal directed behavior. The investigation also reports for the first time somewhat contrasting neuromodulatory deficits produced by infusions of dopamine (DA) D2 and 5-HT2A receptor (R) antagonists into the same region, of possible significance for understanding cognitive deficits produced by anti-psychotic drugs.

Keywords: 5-HT2A, D2, marmoset, prefrontal cortex, response sequencing, ventrolateral prefrontal cortex

Introduction

Goal-directed behavior usually requires the planning of a self-ordered sequence of responses leading ultimately to reward, frequently in a spatial context. Although fixed response sequences may come under habitual control, self-ordered sequencing often demands response monitoring and strategies to reduce working memory load which engage the prefrontal cortex (PFC; Petrides and Milner, 1982; Owen et al., 1990). Hence, in the self-ordered spatial working memory task employed by Owen et al. (1990) humans searched on different trials through arrays of spatial locations associated with reward “tokens” provided on a probabilistic basis and not replenished following choice. Those patients with lesions specifically to lateral (l)PFC regions exhibited performance decrements caused by repeated responding to previous locations, which were associated with an inefficient search strategy (Owen et al., 1990; Manes et al., 2002; Chase et al., 2008). A human functional imaging study (Owen et al., 1996) further showed that whereas dlPFC became active specifically during tasks with high spatial working memory load but minimal response sequencing requirement, ventrolateral (vl)PFC (i.e., area 47) exhibited activation specifically during self-ordered spatial response sequencing. This finding is consistent with findings from the disruptive effects of excitotoxic lesions of vlPFC (but not orbitofrontal PFC) of marmoset monkeys on a similar spatial search task in which they were required to self-order response sequences (of lengths up to 5) with variable stimulus locations on each trial (Collins et al., 1998; Walker et al., 2009). Unlike performance on a classical working memory task, spatial delayed response, PFC dopamine (DA) depletion failed to affect performance on the self-ordered sequencing task (Collins et al., 1998), and PFC serotonin (5-hydroxytryptamine; 5HT) depletion also failed to produce the perseverative deficits seen in marmosets with selective cell body lesions of the vlPFC (Walker et al., 2009).

While the self-ordered nature of response sequencing appears to be a critical requirement for engagement of the vlPFC, it is unclear whether the flexible manner in which this is required is also an essential task component. For example, self-ordered sequencing through a fixed, as opposed to variable, spatial array could become more habitual, hypothetically coming under alternative control by premotor cortex-striatal circuitry (Dezfouli and Balleine, 2012). Therefore, in this study we employed variable arrays of spatial locations for comparison with self-ordered performance of a fixed array. In addition, we sought to understand more clearly the nature of the performance decrements following vlPFC lesions in terms of the failure to disengage from repeating responses at the same location. To address these issues, the present study used a number of variants of the basic task (see Fig. 1), following reversible inactivation of the vlPFC via infusions of GABA-R agonists via permanently implanted cannulae. First, we employed a probe test on which errors did not immediately result in aborted trials. Second, in another cohort of animals we explicitly compared performance of self-ordered sequences in variable spatial arrays, presented both within and across sessions, versus fixed arrays presented identically both within and across sessions, which nevertheless allowed the marmosets to self-order their response sequences. Once animals had established consistent individual patterns of responding in the fixed array version, effects of inactivation were retested. In addition, using the probe task, we returned to the issue of possible monoaminergic modulation of sequencing performance by using acute microinfusions of the DA D2/3 receptor (R) antagonist sulpiride and the selective 5-HT2A-R antagonist M100907, in view of possible compensation following monoaminergic depletion in the earlier studies (Collins et al., 1998; Walker et al., 2009), to test the hypothesis that DA and 5HT may exert differential modulation over self-ordered sequencing.

Figure 1.

Figure 1.

Experimental and task design. A, Visual representation of a correct three-circle trial representative of all the self-ordered sequencing tasks. Once a location was selected it disappeared for the vt. Animals were allowed to continue responding during this time. B, Overview of vlPFC manipulations and task in experiment 1. For the four-block task subjects performed a block of two circle trials (vt = 0.5 s) and three blocks of three-circle trials with two different vts (1 and 0.5 s). Circle positions were randomized based on an eight-stimulus grid. During probe sessions, as opposed to the standard task, errors were not punished by trial abortion. C, Overview of vlPFC manipulations and tasks in experiment 2. On the one-block variable and fixed spatial array tasks animals only performed three-circle trials with a vt of 0.5 s. However, for the fixed array task, the same spatial configuration was presented on every trial and across every session.

Materials and Methods

Subjects

Eight common marmosets (Callithrix jacchus; see Table 1), were bred on-site at the University of Cambridge marmoset breeding colony. The marmoset holding rooms were kept at a constant 24°C with relative humidity of 55%. Holding rooms were gradually illuminated from 7:30 to 8 A.M. and gradually dimmed from 7:30 to 8 P.M., for a 12/12 h light/dark cycle with 30 min of dusk/dawn. Cages (2.8 × 1.2 × 0.98 m) contained a food tray, a nest box, wooden platforms at different heights and a variety of enrichment objects, including ladders, wooden branches and ropes. Five days a week, animals had access to water for 2 h after behavioral testing and during this time period were fed MP.E1 primate diet (Special Diet Services) and carrots. During weekends animals had ad libitum access to water and were fed a calorically equal diet consisting of bread, egg, rusk, fruit and nuts. All procedures were conducted in accordance with the UK Animals (Scientific Procedures) Act 1986 as amended in 2012, under project licenses 70/7618 and P09631465. In addition, the University of Cambridge Animal Welfare and Ethical Review Body (AWERB) provided ethical approval of the project license and its amendments, as well as individual studies and procedures via delegation of authorization to the NACWO for individual study plans.

Table 1.

Study subjects and task/drug allocation

Subject number/symbol Sex vlPFC Cannula Experiment 1, four-block variable array sequencing task
Experiment 2, contrasting the effects of variable and fixed sequences
Trials per block vlPFC inactivation using GABAA and GABAB receptor gonists vlPFC 5-HT2A-R blockade vlPFC D2-R blockade vlPFC inactivation on variable array sequencing task vlPFC inactivation on fixed array sequencing task
1 blue square M 16
2 red circle M 10
3 brown triangle F 12
4 green inverted triangle M 14
5 purple diamond F 10
6 black square F
7 black triangle M
8 black circle F

Table shows the subject number and corresponding symbol, sex, and the tasks completed with corresponding drug manipulation and the number of trials per block in the four-block task (experiment 1).

Apparatus

All behavioral testing was performed in a custom-built testing apparatus located in a separate room from the marmoset holding rooms. Animals were trained to enter a custom-made Perspex transport box (Biotronix), in which they sat during testing. A door on the box was removed to provide access to a touch sensitive computer monitor (NEX121 TFT LCD Monitor, Nexio). Animals had to reach through an array of vertical bars to respond to visual stimuli on the touch screen. Reward, in the form of banana milk (Nesquik banana powder in milk, Nestlé), was delivered through a peristaltic pump to a licking spout accessible through the vertical bars. Auditory stimuli were presented through a speaker, out of sight of the subjects. Reward delivery and presentation of visual and auditory stimuli were controlled by the application MonkeyCantab (R. N. Cardinal), using the Whisker control system (Cardinal and Aitken, 2010).

Behavioral training

Preoperative training

Subjects were trained to enter the transport box and habituated to the testing apparatus.

After successful habituation animals were familiarized with the liquid reward, learned the association between an auditory stimulus and access to reward and then acquired a touchscreen response for that reward; all previously described in Roberts et al. (1988). Subsequently, animals were trained on a spatial self-ordered sequencing task, in which they were required to select each of an array of identical stimuli presented on the screen, once only (Fig. 1A). Subjects were first trained to touch a stimulus, presented in a random spatial location for each trial, based on an eight-location grid. Once animals performed 20 trials in a session, task difficulty was gradually increased. The first step of subsequent training was the addition of a second identical stimulus in a distinct spatial location and animals were required to respond to both spatial locations, sequentially, in any order, to receive reward. Once a response was made to a stimulus, that stimulus disappeared for a set amount of time, denoted “vanishing time” (vt). Animals were allowed to continue responding throughout the vt, but if they responded to the same stimulus more than once, the trial ended prematurely, the houselight was turned off for 5 s and the trial scored as incorrect. Vt was gradually decreased during training and the number of stimuli were increased until animals could perform 20 two-stimuli, followed by 20 three-stimuli trials (both with a vt = 0.5 s) with an accuracy of 80% and 50%, respectively.

Postoperative testing

Three spatial self-ordered sequencing tasks were used for these experiments (Fig. 1). All of the tasks required subjects to perform a sequence of responses to 2 or 3 (depending on task) identical but spatially separated stimuli presented on a screen. For experiment 1, the four-block task was designed to be similar to previous experiments, containing both two and three circle trials. This task was also used to investigate the chemical neuromodulation of performance. For experiment 2, the one-block tasks were designed to allow us to contrast the effects of vlPFC manipulations on self-ordered sequences for variable versus fixed spatial arrays.

Experiment 1: four-block variable array spatial self-ordered sequencing task

Marmosets were tested on two versions of the four-block variable sequencing task, the standard version and a probe version, which is a trial session designed to elicit incorrect responses. All four blocks consisted of the same number of trials, but the number varied between animals, from 10 to 16, as shown in Table 1, dependent on the total number of trials animals would perform consistently across sessions. In the standard version of the task, animals were required to successfully respond to each spatial location without repeating an already made response. Re-selecting an already made spatial response counted as an error and caused trial termination. Accuracy was therefore measured as the percentage of correct trials (or errorless sequences). Two types of errors are possible in this version of the task. An error can either be performed by repeating the immediately preceding response by responding to positions 1-1 or 1-2-2, termed a continuous perseverative error, after Sandson and Albert, 1984). An error can also be made by repeating the first response in the sequence instead of terminating the sequence by responding to positions 1-2-1, referred to as a recurrent perseverative error (Sandson and Albert, 1984). In a probe session, animals were not punished for errors, but allowed to continue responding until they had selected each individual stimulus, at which point they received reward. All animals had experience with probe sessions on at least two separate sessions before the start of manipulations. A correct trial was still counted as an errorless sequence. However, in this probe version, unlike the standard version, repeated errors can occur on an incorrect trial and this allows further analysis of error type to be made. For example, an animal could make 20 errors in a session of 20 trials that were distributed over either (1) 10 incorrect trials or (2) all occurring in one incorrect trial, perhaps reflecting a failure to respond to negative feedback. So, two additional measures of errors are presented. A total errors measure which is averaged across total trials (e.g., errors/trial) and a total errors measure averaged across incorrect trials (errors/incorrect trial) only. In the examples given above, errors/trial would be 1 for both (1) and (2), whereas errors/incorrect trial would be 2 for (1) and 20 for (2). Omissions occurred when the animals did not respond.

Experiment 2: one-block variable array spatial self-ordered sequencing task

Three subjects performed a simplified version of the four-block variable spatial self-ordered sequencing task; consisting only of 1 block with 30, three-circle trials with a vt of 0.5 s. Errors through repetition of a response were punished, as before, by trial termination.

Experiment 2: one-block fixed array spatial self-ordered sequencing task

After completing manipulations on the one-block variable sequencing task, parameters were changed to a fixed sequence version. Here, animals still performed responses to three stimuli in a self-ordered manner, with a vt of 0.5 s, as in the variable condition but the three stimuli were always in the same locations on every trial. After extended training (at least 10 sessions) on the same spatial trio, marmosets tended to perform a restricted set of alternative response sequences out of the total six distinct sequences that were possible. The spatial location of the three stimuli varied across testing, having been chosen based on each subject's response sequences from the final two months performing the variable spatial self-ordered sequencing task. To ensure the fixed sequences were not already performed in a rigid fashion, and to allow responding to improve without reaching an immediate ceiling effect, the precise identity of the fixed sequence for each animal was based on three criteria. First, the subject had to have made at least five of the six possible correct response sequences during these two months. Second, the percentage of trials for which each correct response was performed was approximately equal, thus excluding prior response bias. Third, animals had to have an accuracy score for the specific fixed sequence of around 50%, which was considerably superior to chance performance (21%), but able to distinguish between impairments or improvements following manipulations.

Surgery

Animals had permanent indwelling cannulae implanted to allow infusion of drugs into the vlPFC. For surgery, animals were premedicated with 0.1 ml of 100 mg/ml ketamine (Ketavet, Henry Schein Medical) and given prophylactic analgesic (0.03 ml of 50 mg/ml carprofen, s.c.; Caprieve, Pfizer) before being intubated and anesthesia maintained using a mixture of vaporised isoflurane (Novartis Animal Health) and O2 (2.25% isoflurane in 0.3 l/min O2). Animals were then placed in a marmoset stereotaxic frame (David Kopf). Anesthesia was closely monitored clinically and by pulse oximetry and capnography.

Cortical depth was measured to allow for corrections of cannula targets, as previously described in Dias et al. (1997). A second depth check was performed bilaterally at anterior-posterior (AP) +17.25 to ensure depth was within range of 3.0–4.5 mm at an angle of between 8° and 10° (8°, n = 1, 9°, n = 5, 10°, n = 2). Double guide cannulae (Plastics One) were then inserted, at the same angle described for vlPFC depth check, with the caudal guide at AP +16.75 and the rostral guide at +17.75 at latero-medial (LM) ± 5.8. A surface reading was taken for the caudal guide and the cannula was lowered until it reached 1.2 mm above the base of the skull, calculated from the vlPFC depth check. Guides were fixed in place by skull screws and dental acrylic (Simplex Rapid, Kemdent Works). Postsurgically, subjects were administered 0.18 ml of 3.8 mg/ml dexamethasone (0.09 ml injected into each quadricep; Aspen Pharma Trading Ltd.). Subjects were also given analgesic once daily in the morning, for 3 d after surgery (meloxicam, 0.1 ml of a 1.5 mg/ml oral suspension; Boehringer Ingelheim). After surgery animals had ad libitum access to water for at least one week and were provided the food that was otherwise only available to them on weekends. Animals (n = 3) performing the one-block sequencing tasks were also implanted, in the same surgery, with cannulae targeting the caudate.

Drug preparation and treatment

Drug treatment

For drug infusions, animals were gently restrained by a person other than the researcher and taken to a designated infusion-room. The researcher gently removed caps and dummies from cannula guides and cleaned the guides with injection wipes. For all infusions, an injector (Plastics One) was used that protruded +0.5 mm from the cannula to allow for infusion at 0.7 mm from the base of the brain. The injector was connected to a 10 µl Hamilton syringe (701RN; Hamilton) via PTFE tubing (0.3 mm in diameter). Solvent flexible tubing was used to connect PFTE tubing to injector and syringe (0.38 mm in inner diameter, Elkay Laboratory Products, Ltd.). Drug was accurately delivered by an infusion pump (KDS230, KD Scientific). Injectors, tubing and syringes were all sterilized before setup.

vlPFC inactivation by infusion of GABAA and GABAB agonists

All animals in this study had a combination of muscimol (GABAA-R agonist) and baclofen (GABAB-R agonist) solution, referred to as “musbac,” infused into the vlPFC to allow temporary inactivation of the area. The drug solution was made up in saline to a concentration of 0.1 mm muscimol and 1 mm baclofen before being filtered and aliquoted. Aliquots were stored at −20°C for a maximum of three months. Musbac was thawed immediately before infusion. Fresh sterile saline was used for the control vehicle infusion. The infusion was at a rate of 0.5 µl/min for 1 min. A 25-min pretreatment time was allowed after infusion before testing.

Intra-vlPFC D2-R blockade using sulpiride

(S)-(-)-Sulpiride (sulpiride; Sigma-Aldrich) is a relatively selective D2/3 DA receptor antagonist (Kohli and Cripe, 1979; Pauwels et al., 1993; Ago et al., 2005). It was prepared in two different concentrations, 3.75 and 2.5 µg/µl. The drug was dissolved in 4000 µl of 0.1 m HCl in saline. Solution was neutralized by slow addition of 1 m NaOH until pH reached 7. Stock solution was diluted with PBS until a concentration of 10 µg/µl was achieved (a target volume of 10,000 µl). Stock solution was filtered, aliquoted and stored at −20°C for a maximum of two weeks. Stock solution aliquot was thawed, diluted with PBS and filtered to desired concentration (3.75 or 2.5 µg/µl) before infusion. Vehicle was treated in an identical fashion but without drug.

Sulpiride (and corresponding vehicle) was infused at a rate of 0.5 µl/min over 1 min. A 10-min pretreatment period was allowed before animals were tested. All animals treated with sulpiride were treated with both doses of drug and the vehicle.

Intra-vlPFC 5-HT2A-R blockade using M100907

MDL-100907 (M100907; Sigma-Aldrich) is a selective 5-HT2A-R antagonist (Kehne et al., 1996). It was prepared in four different concentrations (0.5, 1, 1.5, and 2 µg/µl). M100907 was made fresh before each infusion. The desired amount of drug was dissolved in 40 µl 0.1 m HCl and dissolved to a volume of around 1000 µl using PBS. Vehicle was 40 µl 0.1 ml HCl dissolved in 960 µl PBS. M100907 (and corresponding vehicle) was infused at a rate of 0.5 µl/min for 1 or 2 min, depending on dose. A pretreatment time of 12 min was allowed after infusion, before testing. A range of doses (Table 2) of M100907 was used between animals until they reached the maximum dose (2 µg) or a dose which caused them to disengage from testing. Disengaging was classified as having performed fewer than 50% of trials in block 4. All animals had 0.5-µl infusions before 1-µl infusions. The reason for the increase in volume rather than concentration was because of drug solubility.

Table 2.

Doses used for the M100907 infusion

m100907 doses and infusions
Dose (µg) Concentration Volume Subject 1 Subject 2 Subject 3 Subject 5
0 Vehicle 0.5 µl
0.25 0.5 µg/µl 0.5 µl
0.5 1 µg/µl 0.5 µl ×
1 2 µg/µl 0.5 µl
0 Vehicle 1 µl
1 1 µg/µl 1 µl
1.5 1.5 µg/µl 1 µl
2 2 µg/µl 1 µl × ×

The column dose indicates the mass of drug delivered via infusion into the vlPFC calculated by the concentration and volume infused. One dose (1 µg) was given twice but with different concentration and volume. A tick mark indicates that the subject was administered the dose while a blank cell indicates dose was not administered. An × indicates that the dose was too high, the animal disengaged from responding toward the end of the task.

Experimental design, measurements, and statistical analysis

The general design was that animals performed the test Monday to Friday every week, at approximately the same time each day. All experiments used a within-subject study design; for an overview, see Figure 1. An infusion was performed toward the end of the testing week, if animals had shown stable responding during the week. In general, only one experimental drug infusion was performed per week and each drug infusion was tested on one session only.

In experiment 1 (number of subjects = 5), the first infusion was musbac or vehicle on the probe task. Inactivation using musbac was also investigated on the standard task (number of subjects = 4). Following inactivation on the probe, marmosets (number of subjects = 4) received infusions of either D2-R antagonist sulpiride or 5-HT2A-R antagonist M100907 on the four-block probe task; with the order of the two counterbalanced between subjects.

In experiment 2 (number of subjects = 3) after identical preoperative training, marmosets were tested on a simplified version of the four-block task, consisting of only 1 block, with 30, three-circle trials with a vt of 0.5 s. Following infusions of musbac and vehicle on this task, marmosets acquired and performed the fixed sequence task before receiving infusions of musbac and vehicle into the vlPFC again.

Measurements included trials completed, accuracy, errors per trial and errors per incorrect trial. Trials completed indicated the percentage of trials in which animals performed a correct or incorrect sequence and did not refrain from responding for 60 s. Accuracy was the number of sequences performed without errors. Errors per trial was the number of errors performed divided by the number of correct plus incorrect trials, while errors per incorrect trial were the number of errors divided by incorrect trials.

Testing data were collected in a Microsoft Access database. Data were exported into Microsoft Excel (Office 365) and R studio (version 1.2.1335, RStudio: Integrated Development for R; RStudio). Different statistical tests were performed but p < 0.05 was used for statistical significance for all tests.

Inactivation of vlPFC on the spatial self-ordered sequencing task

Statistical analysis and graphical representation were performed in GraphPad Prism (version 7.03 for Windows, GraphPad Software). Data were presented as mean values with the SEM. In experiment 1, a two-way repeated measures ANOVA was performed on the four-block task with post hoc tests using Sidak's correction for multiple comparison. In experiment 2, a two-tailed paired t test was performed on data from the variable and fixed sequencing tasks independently. They were also analyzed using a two-way ANOVA with an additional factor of fixed-variable task.

D2-R and 5-HT2A-R blockade on the four-block spatial self-ordered sequencing task

Statistical analysis was performed in RStudio. Parts of the dataset were transferred from RStudio to create graphs in GraphPad Prism (version 7.03 for Windows, GraphPad Software). Data were analyzed using multiple linear mixed effects models with the R package lme4 (Bates et al., 2015; Boisgontier and Cheval, 2016). Dose and block were fixed effects and subject was a random effect. ANOVA was performed on the model to acquire p-values. All doses for each animal were included in the analysis. For M100907 both replicate doses of 1 µg and both vehicle infusions, were included in the model. Data were presented graphically for each subject individually alongside the average across all animals. To enable easier reading of graphical representations of the M100907 data, the doses that were replicated (1 µg of M100907 and the two vehicle infusions) were presented as mean values.

Histology

Histologic analysis was used to assess cannulae placement. Animals were premedicated with ketamine and placed into an incubator for 5 min before being injected with 1 ml of 200 mg/ml solution of pentobarbital intravenous (Dolethal; Merial Animal Health). Loss of heartrate was confirmed using a stethoscope before animals were perfused transcardially with 300 ml 0.1 m PBS, followed by 300 ml 10% solution of formalin stabilised in phosphate buffer. The brain was removed and placed into 10% formalin solution for 24 h before being transferred into a 30% W/V sucrose solution for at least 48 h. Brains were sectioned using a microtome (40-µm coronal sections) before being mounted on slides and stained using Cresyl-violet. Slides were viewed under a Leitz DMRD microscope (Leica Microsystems) and cannula placements were drawn onto a schematic containing a series of standard outlines of the marmoset brain through the PFC.

The volume used to infuse the drugs was relatively small in relation to the large area of the vlPFC and we provide histologic data to indicate that the cannulae tips for each monkey were accurately placed in the central regions of the lPFC. Using staining and histologic methods it is not possible to determine the spread of an infusion. However, the consensus from previous studies using fluorescent-tagged (Allen et al., 2008) or radio-labeled (Sperber et al., 1989; Krupa and Thompson, 1997; Martin and Ghez, 1999) muscimol and/or glucose metabolism (Martin and Ghez, 1999) is that there is an effective radius of ∼1.5 mm for the inactivating effects of muscimol at doses, volumes, and infusion rates similar to those used here.

Results

Histologic analysis

The cannulae were confirmed to have targeted the vlPFC in all marmosets, as seen in an example photomicrograph of a Cresyl-violet stained section at the level of the PFC (Fig. 2A) as well as summary schematics (Fig. 2B). In most animals, the infusion location encompassed both area 47/12l and 47/12m.

Figure 2.

Figure 2.

Cannula placements for experiments 1 and 2. A, left side, Example photomicrograph of a Cresyl-violet stained section from this experiment, infusion site marked by a circle. Right, Schematic of vlPFC cannula target area. Given the rostro-caudal extent of vlPFC, double cannula, 1 mm apart anteroposteriorly, were used in each hemisphere. Injectors protruding 0.5 mm from the cannulae were used, allowing for infusions at 0.7 mm from base of brain in area 47/12. B, Actual cannula placements for individual subjects marked with respective symbols.

Experiment 1: four-block variable array sequencing tasks

Effects of temporary inactivation of vlPFC

Standard test

Inactivation of the vlPFC using musbac impaired task performance in the critical third and most difficult block of the task (Fig. 3A). ANOVA revealed a significant interaction between block and musbac treatment (F(3,9) = 3.895, p = 0.049) with post hoc tests revealing a significant effect in block 3 (p = 0.006). Additional analysis was performed to understand whether treatment with drug affected the distinct error types differentially. A three-way repeated measures ANOVA revealed that there was no interaction between drug and error types on performance (F(1,2) = 3.728, p = 0.193), nor was there an interaction between drug, block and error type (F(2,4) = 1.439, p = 0.338). Musbac did not affect total trials completed (F(1,3) = 0.009, p = 0.931).

Figure 3.

Figure 3.

Effect of inactivation of vlPFC on the standard and probe four-block variable sequencing task. Graph shows the mean accuracy per block for subjects after infusion of saline (dashed line) and musbac (solid line) into the vlPFC. Individual data points are presented as a unique colored symbol, where musbac data points are filled, while saline datapoints are hollow. A, For the standard task, inactivation of vlPFC impaired performance only in the third and most difficult block of the task. B, On the probe task, inactivation decreased accuracy across all blocks. Inactivation also increased the number of errors performed on incorrect trials in the probe task.

Five different latencies were also investigated:

  • Trial time; from stimulus presentation to completed sequence or trial errors.

  • Initiation time; from stimulus presentation to first response.

  • Performance time; from first to last stimulus selection.

  • Inter-response times; from first to second and second to third stimulus selection.

The performance time across all blocks were faster under control conditions, average median performance time, 646.5, 1391, 1329, and 1573 ms for blocks 1–4, respectively, with a mean difference compared with inactivation of 129.4, 73.25, 90.24, and 147.3 with a SE difference of 116.7. Analyzing the increased median performance time using a two-way repeated measures ANOVA revealed that effect was only trending (F(1,3) = 9.336, p = 0.055). The increased performance time was likely driven by a significant increase in the median inter-response time for the first to second response (F(1,3) = 10.21, p = 0.049). Average median time for first to second response, 641.9, 598.3, 613.3, and 727 ms for blocks 1–4, respectively, with a mean difference compared with inactivation of 129.9, 55.4, 22.6, 150.1 with a SE difference of 52.3. No other latencies showed significant differences (p > 0.05).

Probe test

Inactivation of vlPFC with musbac impaired sequencing in all blocks of the probe task, in which errors were not punished (Fig. 3B). Musbac infusions significantly reduced accuracy and increased the number of errors per trial as well as the number of errors per incorrect trials. A two-way repeated measures ANOVA showed that there was a main effect of musbac on accuracy (F(1,4) = 38.51, p = 0.003), on the average number of errors per trial (F(1,4) = 23.64, p = 0.008) and the number of errors per incorrect trial (F(1,4) = 10.61, p = 0.031). Further analysis was performed to understand whether inactivation affected error types differentially. A three way repeated measures ANOVA revealed that there was an interaction between drug and error type (F(1,4) = 12.399, p = 0.024). This analysis was followed up by investigating individual error types in separate two-way ANOVAs. Analysis revealed that there was a main effect of musbac on recurrent perseverative (1-2-1 response) errors (F(1,4) = 8.49, p = 0.044), but not on continuous perseverative (1-1 or 1-2-2 response) errors (F(1,4) = 5.568, p = 0.076). Thus, when the vlPFC was inactivated, marmosets were less accurate, increased the number of errors they made per incorrect trial, and committed relatively more recurrent perseverative errors, as compared with vehicle. However, musbac did not affect the overall engagement of marmosets on the task, with only subject three making a single omission in the fourth block when treated with musbac.

Effects of intra-vlPFC 5-HT2A-R blockade

Blockade of 5-HT2A-Rs by infusion of M100907 into vlPFC on the Probe test impaired performance of self-ordered spatial response sequences (Fig. 4), as reflected by a significant reduction in accuracy and increased numbers of errors per trial. The number of errors per incorrect trials were however not significantly different. The highest doses of M100907 for subjects 1, 2, and 5 were excluded from the analysis because of animals disengaging from testing altogether. At their individually highest dose, subjects 1, 2, and 5 all performed ≤30% of the trials in the fourth block. Analysis of accuracy for other doses using a linear mixed effect model revealed a main effect of drug on accuracy (F(5,52.572) = 3.583, p = 0.007), where M100907 decreased accuracy. Qualitatively, this effect was strongest in the third and fourth blocks of the task, where accuracy was drastically decreased. On trials completed, there was a significant effect of drug (F(5,53.235) = 3.793, p = 0.005) and block (F(3,51.403) = 5.728, p = 0.001) as well as an interaction between the two (F(15,51.403) = 3.491, p < 0.001). Only two animals made omissions at the doses included in the analysis. On errors per trial there was also a significant effect of drug (F(5,49.083) = 2.4487, p = 0.046) and a significant effect of block (F(3,53.103) = 8.6147, p < 0.001). In 3 out of four subjects there was an increase in errors per trial in the third block of the task. On the fourth block this effect was true for all animals. On number of errors per incorrect trials, there was no significant effect of drug (F(5,53.769) = 1.289, p = 0.282). Investigating individual error types (i.e., continuous vs recurrent perseveration) by addition of error type as a fixed effect in the model revealed no interaction between drug and error type (F(5,108.5) = 0.501, p = 0.775).

Figure 4.

Figure 4.

Behavioral performance of the self-ordered spatial sequencing task following vlPFC 5-HT2A-R blockade. The leftmost graph shows mean performance across all subjects, but note that points are averaged on only two values in some cases. All graphs have the same color coding for dose. * in title denotes a main effect of treatment. Replicate doses of vehicle (dose 0) and dose 1 are presented as a mean. A, Points show the percentage of completed trials where a sequence of three was performed without any error. If an animal omitted (by not making a response for 60 s), the trial was counted as not completed. If any trials were omitted in a block, the percentage of trials completed for that block is presented next to the accuracy value. B, C, Points with corresponding lines show the average number of errors made on all trials, completed with and without errors (B), or only on trials performed with errors (C).

Effects of intra-vlPFC D2-R blockade

Blockade of intra-vlPFC D2-R by infusion of sulpiride impaired performance of the spatial response sequencing task (Fig. 5), as reflected by the significantly increased numbers of errors per trial and errors per incorrect trials. The linear mixed-effects models showed that there was a main effect of treatment on errors per trial (F(2,33) = 4.089, p = 0.025) and block (F(3,33) = 5.036, p = 0.006), with no interaction between the two (F(6,33) = 0.096, p = 0.462). All animals showed an effect of increased errors per trial in the third and/or fourth block. Sulpiride also significantly increased the numbers of errors per incorrect trials (F(2,33) = 4.192, p = 0.023). The effect of drug on errors per incorrect trials was consistent across animals in the third block of the task and in three out of four animals in the fourth block. Accuracy was numerically affected for some animals, in some blocks, but not significantly impaired. The linear mixed effects model did not show a significant effect of treatment with sulpiride on accuracy (F(2,33) = 3.074, p = 0.059), and there was no interaction of block and treatment (F(6,33) = 0.914, p = 0.496). An accuracy decrease was very clear in two subjects (subjects 5 and 2), but effects in the other two animals were less evident. Investigating individual error types (i.e., continuous vs recurrent perseveration) by addition of error type as a fixed effect in the model revealed no interaction between drug and error type (F(2,69) = 0.144, p = 0.985).

Figure 5.

Figure 5.

Behavioral performance of the self-ordered spatial sequencing task following vlPFC D2-R blockade. The leftmost graph show average across all subjects. All graphs have the same color coding for dose. * in title denotes a main effect of treatment. A, Points show the percentage of completed trials where a sequence of three was performed without any error. If an animal omitted (by not making a response for 60 s) the trial was counted as not completed. If any trials were omitted in a block, the percentage of trials completed for that block is presented next to the accuracy value. B, C, Points with corresponding lines show the average number of errors made on all trials, completed with and without errors (B), or only on trials performed with errors (C).

Experiment 2: contrasting variable and fixed array sequences

Direct comparison of inactivation on the variable and fixed array sequence versions using a two-way repeated measures ANOVA revealed an interaction between treatment and task (F(1,2) = 21.06, p = 0.04), indicating that there was a difference in the effects of inactivation on the two tasks, each task was thus analyzed separately.

The one-block variable array sequencing task was designed to consist only of the trials showing a significant impairment in the standard version of the four-block task, presented above. Replicating the finding above, the new cohort of marmosets in experiment 2 (n = 3) showed impaired performance of this modified task following musbac-induced inactivation of vlPFC (Fig. 6A). A two-tailed paired Student's t test showed that there was a significant effect of musbac on accuracy, mean ± SEM difference for musbac – saline = −16.67 ± 1.923, p = 0.013.

Figure 6.

Figure 6.

Performance of the variable and fixed array spatial self-ordered sequencing tasks. A, B, Graph shows the mean with SEM accuracy for groups on either the one-block variable array task (A) or the one-block fixed array task (B). A, Inactivation of vlPFC impaired performance of the sequencing task with variable arrays, replicating findings from the four-block task. B, Once the subject was performing a constrained set of responses to solve the sequence, vlPFC inactivation no longer impaired performance. C, Correct responses on the one-block self-ordered sequencing task with a fixed array across all sessions. Each different colored bar segment represents the number of trials that a particular correct sequence was performed in a given session for subjects 6–8. The height of the full bar provides a measurement of total correct trials out of 30. The fixed array for the subject, with the number corresponding to each spatial location, and the potential response sequences with respective color codes are presented next to the graphs. The baseline data point represents the distribution of responses when the particular spatial array was presented at random on the variable sequencing task for two months before starting the fixed array task, converted into a 30-trial representation. It can be seen that following extended practice with a particular spatial array, a reduced number of sequences were employed as reflected by the reduced number of colors in the histogram plots across sessions.

As expected, based on the criterion for individual selection of the fixed array sequence of three stimuli, all three marmosets showed a wide range of response sequences when first solving the fixed array sequence task. In all cases, however, the range of response sequences narrowed somewhat across training, so that by the end they were performing fewer sequence options (Fig. 6C). Further breakdown of the correct responses indicated that all three animals adopted a strategy to solve the sequence, but only two out of three consistently performed it over many days. One animal, subject 6, adopted a strategy by solving the sequence through moving across the screen in a counterclockwise fashion. Another animal, subject 8, adopted a strategy where she almost exclusively started by responding to a stimulus in a specific position, before responding to either of the other two stimuli. The final subject, 7, adopted a clockwise strategy for 10 testing days before again showing greater flexibility in his responding.

In contrast, however, to the variable array sequencing task, musbac-induced inactivation of vlPFC no longer impaired task performance on this fixed array sequence version (Fig. 6B). Inactivation was without effect on accuracy; mean ± SEM difference for musbac – saline = 5.56 ± 4.008, p = 0.299 (two-tailed paired t test).

Summary of results

A causal role for vlPFC in performance of variable array spatial self-ordered sequences was demonstrated in two separate cohorts of marmosets performing the four-block and one-block task, respectively. We showed that transient local inactivation of the vlPFC using infusion of GABA agonists decreased the number of trials performed correctly while also increasing the number of errors made on incorrect trials. This effect was behaviorally specific in that there were no deficits produced by inactivation on fixed array self-ordered sequencing. These findings were followed up by investigations into the chemical neuromodulation of performance. Infusion of 5-HT2A-R or D2-R antagonists into the vlPFC both impaired performance by increasing errors, although blockade of the two receptors significantly impaired distinct measures. Blockade of 5-HT2A-Rs increased the number of errors by decreasing accuracy, as compared with vehicle, but did not significantly increase the number of errors made on incorrect trials. Blockade of D2-Rs did not significantly affect accuracy, but significantly increased the number of errors by increasing the number of errors performed on incorrect trials.

Discussion

These findings demonstrate that reversible inactivation of vlPFC induces a highly selective deficit in the performance of flexible, but not constrained, sequences of spatially self-ordered responses. An innovative control procedure tested marmosets' self-ordered sequencing performance on a fixed spatial array, finding no deficits following vlPFC inactivation. Therefore, the impairment in self-ordered sequencing following vlPFC inactivation was confined to situations when flexible responding to a variable spatial array of search options was required. This is consistent with a likely strategic role of vlPFC to produce generalized abstract performance rules when responding to different spatial arrays or stimulus sets to achieve flexible, goal-directed behavior. Previous studies contained a short delay component in the sequencing task, increasing working memory load, but we demonstrated that the impairment is present even in the absence of a delay after each response, further emphasizing a likely role for vlPFC in sequencing rather than working memory (Owen et al., 1996), and in line with previous findings showing that vlPFC is not required for maintaining information online during a delay (Rushworth et al., 1997). However, as hypothesized previously (Walker et al., 2009) for effective sequencing performance it is necessary to resist distraction and vlPFC lesions may disrupt performance by impairing attentional control. Additional experiments defined how vlPFC controlled performance using task variants that enabled detailed error analysis in terms of the distribution of errors over trials and the continuous or recurrent nature of the perseverative behavior. On the probe test version, while vlPFC inactivation both impaired sequence accuracy and enhanced recurrent perseveration in terms of repeated errors on the same trial following an error, effects of relatively selective neurochemical modulation via D2-R (sulpiride) or 5-HT2A-R (M100907) blockade had distinct performance profiles, with impairments in sequence accuracy only following M100907 infusions and increased perseveration on incorrect trials after sulpiride.

Effects of vlPFC inactivation on self-ordered sequencing

The largest impairment following inactivation was on the probe-version of the four-block task, which had the highest requirement for flexibility in responding. Accuracy was decreased and the frequency of errors performed on incorrect trials was also higher than following control saline infusions. This indicates that not only is vlPFC responsible for planning successful self-ordered response sequences, but also that once the plan is lost following inactivation, animals were unable to adapt their performance to rescue excessive superfluous responding. However, an impairment was also evident in the standard four-block version of the task (errors terminating the trial) and subsequently replicated in a new cohort of marmosets in the one-block version (Fig. 1). The latter result indicates that the deficit in four-block task performance was not simply one of failing to adapt to the different sequence requirements, involving changes in the number of spatial locations and vts. Following over-training with the fixed spatial array version all animals developed individual, heuristic strategies for solving this version that generally resulted in a narrowing of the response sequences employed (Fig. 6). Inactivation was without effect on this fixed-array version. The selective effect therefore on variable response sequencing suggests that the vlPFC is not required for executing self-ordered response sequencing per se, implying a role for the vlPFC in flexibly guiding behavior in variable situations where a general rule, principle, or heuristic needs to be derived and applied to a larger set of problems. This conclusion is compatible with the findings of Procyk and Goldman-Rakic (2006) on the role of the dorsolateral PFC in the self-organization of behavior. More generally, it concurs with findings on reversal learning with different stimulus sets (Rygula et al., 2010), visuomotor learning tasks (Puig and Miller, 2012, 2015), and other forms of strategy implementation (Bussey et al., 2001; Baxter et al., 2009) that also suggest vlPFC to be primarily required for adapting performance heuristics or rules to new situations or stimulus sets.

This leaves open the question of which neural structures and circuitry might be implicated in initially selecting and then performing preferred sequence(s), as in the fixed condition, a likely candidate being the basal ganglia (Yin et al., 2009; Wymbs et al., 2012; Jin et al., 2014).

Effects of intra-vlPFC DA D2-R and 5-HT2A-R blockade

The significant neuromodulatory effects in the present study stand in contrast to earlier failures to find significant effects of PFC DA or serotonin depletion on response sequencing (Walker et al., 2009), which may have been because of the well-known capacity of depleted monoaminergic systems to exhibit functional compensation (Björklund et al., 1973; Robinson et al., 1990; Collins et al., 2000; Man et al., 2010), avoided by the present acute manipulations. However, the present manipulations targeted specific receptors (D2 and 5-HT2A) and in both cases there is evidence of opponent functional interactions between D1 and D2 DA receptors on the one hand (Durstewitz and Seamans, 2008) and 5-HT2A and 5-HT2C receptors on the other (Winstanley et al., 2004). Thus, our acute manipulations likely disrupted the functional balance that normally exists in these pathways, an effect less likely to have occurred as a result of removing the DA and serotonin innervation.

The present deficits following infusions of the D2/3-R antagonist sulpiride are probably attributable to an effect on D2-R, because of low expression of D3-R in cortex (Lévesque et al., 1992; although see Clarkson et al., 2017), whereas D2-Rs are primarily located on prefrontal Layer V pyramidal cells (Lidow et al., 1998; Santana et al., 2009) rather than on presynaptic DA terminals (Vijayraghavan et al., 2016, 2017). The significant increase in errors though did not consistently, significantly affect task accuracy, per se. Instead, errors tended to accumulate on incorrect trials indicating that the effect was primarily in error correction. Findings following microiontophoretic application of D2 agents to the dlPFC in rhesus monkeys performing an oculomotor spatial working memory task showed that D2-R activity was related to motor saccades performed rather than being related to delay (Wang et al., 2004). A similar response-related activity has been detected in the vlPFC (Puig and Miller, 2015) and has been suggested to relate to processing of motor feedback (Wang et al., 2004; Arnsten et al., 2015). Our finding of repetitive errors on the same trial following intra-vlPFC sulpiride is hence consistent with a blockade of inhibition of pyramidal cell function via D2-R. The findings are compatible with the hypothesis that activity in D1 and D2-R may be functionally opposed in maintaining stability of PFC ensemble firing, D2-R antagonism therefore potentially promoting perseveration (Durstewitz et al., 2000).

By contrast, 5-HT2A-R antagonism significantly affected response accuracy. This may be consistent with the location of 5-HT2A-R on the apical dendrites of pyramidal cells, close to the soma (Jakab and Goldman-Rakic, 1998), especially in Layers III and V of the PFC (de Almeida et al., 2008). Mechanistically, these receptors have been suggested to amplify glutamatergic excitatory synaptic currents (Marek and Aghajanian, 1999), hence a 5-HT2A-R antagonist could be expected to reduce such currents. Previous evidence of behavioral effects following 5-HT2A manipulation intra-lPFC has been scarce, although a complex role in working memory has been suggested (Williams et al., 2002). We hypothesize that the present impairment following vlPFC infusion is a result of pyramidal 5-HT2A-Rs being unable to amplify task relevant sensory inputs, and hence guide a behavioral plan. Error correcting, D2-R-related mechanisms might nevertheless still be intact, explaining why the errors per incorrect trials were not significantly increased. However, we emphasize that these drug treatments did not produce completely dissociable effects on performance and it is, for example, possible that one of the sequelae of the blockade of D2-Rs on GABA interneurons is on the downstream regulation of 5-HT activity, as occurs following intrastriatal sulpiride (Nakazato et al., 1998).

Implications

The present findings are of relevance to mental health disorders such as schizophrenia and obsessive-compulsive disorder (OCD). For OCD patients, planning deficits involving flexible self-ordered spatial sequencing are correlated with decreased resting state and functional connectivity between the lPFC and putamen (Vaghi et al., 2017). For schizophrenia, similar dysconnectivity between lPFC and basal ganglia has been shown (Zhou et al., 2007) as well as impairments in planning and sequencing tasks with heritable components apparently independent of IQ (Lemvigh et al., 2020).

Antipsychotics targeting D2-R and 5-HT2A-R are the first line treatment for schizophrenia. Recovery of cognitive functioning, including restored performance of action sequences, is important for long-term community outcome for patients (Green et al., 2000, 2004; Semkovska et al., 2004). Our findings that blockade of 5-HT2A-R or D2-R impaired sequencing may indicate that current treatments for schizophrenia could impede successful community outcomes. Indeed, it has been reported that patients treated chronically with antipsychotics having high affinity for the 5-HT2A-R show decremental planning performance (Tyson et al., 2004). Moreover, systemic treatment with sulpiride impairs sequencing performance in healthy volunteers (Mehta et al., 1999). Drug-naive OCD patients show reduced 5-HT2A-R availability within the lPFC (Perani et al., 2008), indicating that the reduction in these receptors might impair behavioral planning, supported by recent evidence that treatment with selective serotonin reuptake inhibitors specifically improves planning performance in OCD (Lochner et al., 2020).

Methodological considerations and limitations

This study used an established method for inactivating cortical areas with a mixture of GABA-R agonists. The possibility of diffusion from the site of infusion appears slight in relation to the overall volume of the target region and the behavioral effects were consonant with effects of focal vlPFC excitotoxic lesions (Walker et al., 2009).

The order of the variable and fixed sequencing tasks was not counterbalanced because of likely transfer difficulties for marmosets trained initially on fixed array sequences and then shifted to variable sequences (given the extensive training required to stabilize performance with no prior fixed array sequence training). Although it could be argued that the lack of impairment following vlPFC inactivation in the fixed array sequencing task was because of drug tolerance or learned compensation, significant effects of inactivation were evident for infusions on both test occasions in experiment 1, standard and probe versions, arguing against these possibilities.

In conclusion, inactivation of the vlPFC in marmosets produced a selective deficit on self-ordered response sequencing with variable spatial arrays but no effect with a fixed spatial array. Intra-vlPFC infusions of 5-HT2A-R and DA D2-R antagonists affected different aspects of sequencing performance, hypothetically relating to planning and error feedback, respectively. The findings are consistent with a higher order executive function of the vlPFC by which a general rule or strategy is applied to optimize performance for tasks with variable requirements.

Footnotes

This research was funded in whole, or in part, by the Wellcome Trust (Grant 104631/Z/14/Z to TWR). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. We thank Gemma Cockcroft and Lauren McIver for histology, both supported by Medical Research Council and Wellcome Trust awards, respectively; Dr. H. Clarke for help with cannulation surgery; and Dr. Z. Stawicka for histology images in Figure 2.

T.W.R. discloses consultancy and royalties for Cambridge Cognition as well as consultancy for Greenfield Bioventures, Takeda, Heptares, Shionogi, and Arcadia. He has received research grants from Shionogi and GlaxoSmithKline. A.C.R. has received research grants from Shionogi. All other authors declare no competing financial interests.

References

  1. Ago Y, Nakamura S, Baba A, Matsuda T (2005) Sulpiride in combination with fluvoxamine increases in vivo dopamine release selectively in rat prefrontal cortex. Neuropsychopharmacology 30:43–51. 10.1038/sj.npp.1300567 [DOI] [PubMed] [Google Scholar]
  2. Allen TA, Narayanan NS, Kholodar-Smith DB, Zhao Y, Laubach M, Brown TH (2008) Imaging the spread of reversible brain inactivations using fluorescent muscimol. J Neurosci Methods 171:30–38. 10.1016/j.jneumeth.2008.01.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arnsten AFT, Wang M, Paspalas CD (2015) Dopamine's actions in primate prefrontal cortex: challenges for treating cognitive disorders. Pharmacol Rev 67:681–696. 10.1124/pr.115.010512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Soft 67:48. 10.18637/jss.v067.i01 [DOI] [Google Scholar]
  5. Baxter MG, Gaffan D, Kyriazis DA, Mitchell AS (2009) Ventrolateral prefrontal cortex is required for performance of a strategy implementation task but not reinforcer devaluation effects in rhesus monkeys. Eur J Neurosci 29:2049–2059. 10.1111/j.1460-9568.2009.06740.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Björklund A, Nobin A, Stenevi U (1973) Regeneration of central serotonin neurons after axonal degeneration induced by 5, 6-dihydroxytrptamine. Brain Res 50:214–220. 10.1016/0006-8993(73)90611-2 [DOI] [PubMed] [Google Scholar]
  7. Boisgontier MP, Cheval B (2016) The anova to mixed model transition. Neurosci Biobehav Rev 68:1004–1005. 10.1016/j.neubiorev.2016.05.034 [DOI] [PubMed] [Google Scholar]
  8. Bussey TJ, Wise SP, Murray EA (2001) The role of ventral and orbital prefrontal cortex in conditional visuomotor learning and strategy use in rhesus monkeys (Macaca mulatta). Behav Neurosci 115:971–982. 10.1037//0735-7044.115.5.971 [DOI] [PubMed] [Google Scholar]
  9. Cardinal RN, Aitken MRF (2010) Whisker: a client—server high-performance multimedia research control system. Behav Res Methods 42:1059–1071. 10.3758/BRM.42.4.1059 [DOI] [PubMed] [Google Scholar]
  10. Chase HW, Clark L, Sahakian BJ, Bullmore ET, Robbins TW (2008) Dissociable roles of prefrontal subregions in self-ordered working memory performance. Neuropsychologia 46:2650–2661. 10.1016/j.neuropsychologia.2008.04.021 [DOI] [PubMed] [Google Scholar]
  11. Clarkson RL, Liptak AT, Gee SM, Sohal VS, Bender KJ (2017) D3 receptors regulate excitability in a unique class of prefrontal pyramidal cells. J Neurosci 37:5846–5860. 10.1523/JNEUROSCI.0310-17.2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Collins P, Roberts AC, Dias R, Everitt BJ, Robbins TW (1998) Perseveration and strategy in a novel spatial self-ordered sequencing task for nonhuman primates: effects of excitotoxic lesions and dopamine depletions of the prefrontal cortex. J Cogn Neurosci 10:332–354. 10.1162/089892998562771 [DOI] [PubMed] [Google Scholar]
  13. Collins P, Wilkinson LS, Everitt BJ, Robbins TW, Roberts AC (2000) The effect of dopamine depletion from the caudate nucleus of the common marmoset (Callithrix jacchus) on tests of prefrontal cognitive function. Behav Neurosci 114:3–17. 10.1037//0735-7044.114.1.3 [DOI] [PubMed] [Google Scholar]
  14. de Almeida J, Palacios JM, Mengod G (2008) Distribution of 5-HT and DA receptors in primate prefrontal cortex: implications for pathophysiology and treatment. Prog Brain Res 172:101–115. [DOI] [PubMed] [Google Scholar]
  15. Dezfouli A, Balleine BW (2012) Habits, action sequences, and reinforcement learning. Eur J Neurosci 35:1036–1051. 10.1111/j.1460-9568.2012.08050.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Dias R, Robbins TW, Roberts AC (1997) Dissociable forms of inhibitory control within prefrontal cortex with an analog of the Wisconsin card sort test: restriction to novel situations and independence from “on-line” processing. J Neurosci 17:9285–9297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Durstewitz D, Seamans JK (2008) The dual-state theory of prefrontal cortex dopamine function with relevance to catechol-O-methyltransferase genotypes and schizophrenia. Biol Psychiatry 64:739–749. 10.1016/j.biopsych.2008.05.015 [DOI] [PubMed] [Google Scholar]
  18. Durstewitz D, Seamans JK, Sejnowski TJ (2000) Dopamine-mediated stabilization of delay-period activity in a network model of prefrontal cortex. J Neurophysiol 83:1733–1750. 10.1152/jn.2000.83.3.1733 [DOI] [PubMed] [Google Scholar]
  19. Green MF, Kern RS, Braff DL, Mintz J (2000) Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the “right stuff”? Schizophr Bull 26:119–136. 10.1093/oxfordjournals.schbul.a033430 [DOI] [PubMed] [Google Scholar]
  20. Green MF, Kern RS, Heaton RK (2004) Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophr Res 72:41–51. 10.1016/j.schres.2004.09.009 [DOI] [PubMed] [Google Scholar]
  21. Jakab RL, Goldman-Rakic PS (1998) 5-Hydroxytryptamine2A serotonin receptors in the primate cerebral cortex: possible site of action of hallucinogenic and antipsychotic drugs in pyramidal cell apical dendrites. Proc Natl Acad Sci USA 95:735–740. 10.1073/pnas.95.2.735 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jin X, Tecuapetla F, Costa RM (2014) Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences. Nat Neurosci 17:423–430. 10.1038/nn.3632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kehne JH, Baron BM, Carr AA, Chaney SF, Elands J, Feldman DJ, Frank RA, van Giersbergen PL, McCloskey TC, Johnson MP, McCarty DR, Poirot M, Senyah Y, Siegel BW, Widmaier C (1996) Preclinical characterization of the potential of the putative atypical antipsychotic MDL 100,907 as a potent 5-HT2A antagonist with a favorable CNS safety profile. J Pharmacol Exp Ther 277:968–981. [PubMed] [Google Scholar]
  24. Kohli JD, Cripe LD (1979) Sulpiride: a weak antagonist of norepinephrine and 5-hydroxytryptamine. Eur J Pharmacol 56:283–286. 10.1016/0014-2999(79)90185-7 [DOI] [PubMed] [Google Scholar]
  25. Krupa DJ, Thompson RF (1997) Reversible inactivation of the cerebellar interpositus nucleus completely prevents acquisition of the classically conditioned eye-blink response. Learn Mem 3:545–556. 10.1101/lm.3.6.545 [DOI] [PubMed] [Google Scholar]
  26. Lemvigh CK, Brouwer RM, Pantelis C, Jensen MH, Hilker RW, Legind CS, Anhøj SJ, Robbins TW, Sahakian BJ, Glenthøj BY, Fagerlund B (2020) Heritability of specific cognitive functions and associations with schizophrenia spectrum disorders using CANTAB: a nation-wide twin study. Psychol Med 1–14. [DOI] [PubMed] [Google Scholar]
  27. Lévesque D, Diaz J, Pilon C, Martres MP, Giros B, Souil E, Schott D, Morgat JL, Schwartz JC, Sokoloff P (1992) Identification, characterization, and localization of the dopamine D3 receptor in rat brain using 7-[3H]hydroxy-N,N-di-n-propyl-2-aminotetralin. Proc Natl Acad Sci USA 89:8155–8159. 10.1073/pnas.89.17.8155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Lidow MS, Wang F, Cao Y, Goldman-Rakic PS (1998) Layer V neurons bear the majority of mRNAs encoding the five distinct dopamine receptor subtypes in the primate prefrontal cortex. Synapse 28:10–20. [DOI] [PubMed] [Google Scholar]
  29. Lochner C, Chamberlain SR, Kidd M, Taljaard L, Fineberg NA, Robbins TW, Stein DJ (2020) The effects of acute serotonin challenge on executive planning in patients with obsessive-compulsive disorder (OCD), their first-degree relatives, and healthy controls. Psychopharmacology (Berl) 237:3117–3123. 10.1007/s00213-020-05597-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Man MS, Dalley JW, Roberts AC (2010) Opposing effects of 5,7-DHT infusions into the orbitofrontal cortex and amygdala on flexible responding. Cereb Cortex 20:1668–1675. 10.1093/cercor/bhp236 [DOI] [PubMed] [Google Scholar]
  31. Manes F, Sahakian B, Clark L, Rogers R, Antoun N, Aitken M, Robbins T (2002) Decision-making processes following damage to the prefrontal cortex. Brain 125:624–639. 10.1093/brain/awf049 [DOI] [PubMed] [Google Scholar]
  32. Marek GJ, Aghajanian GK (1999) 5-HT2A receptor or α1-adrenoceptor activation induces excitatory postsynaptic currents in layer V pyramidal cells of the medial prefrontal cortex. Eur J Pharmacol 367:197–206. 10.1016/S0014-2999(98)00945-5 [DOI] [PubMed] [Google Scholar]
  33. Martin JH, Ghez C (1999) Pharmacological inactivation in the analysis of the central control of movement. J Neurosci Methods 86:145–159. 10.1016/s0165-0270(98)00163-0 [DOI] [PubMed] [Google Scholar]
  34. Mehta MA, Sahakian BJ, McKenna PJ, Robbins TW (1999) Systemic sulpiride in young adult volunteers simulates the profile of cognitive deficits in Parkinson's disease. Psychopharmacology (Berl) 146:162–174. 10.1007/s002130051102 [DOI] [PubMed] [Google Scholar]
  35. Nakazato T, Horikawa HPM, Akiyama A (1998) The dopamine D2 receptor antagonist sulpiride causes long-lasting serotonin release. Eur J Pharmacol 363:29–34. 10.1016/S0014-2999(98)00796-1 [DOI] [PubMed] [Google Scholar]
  36. Owen AM, Downes JJ, Sahakian BJ, Polkey CE, Robbins TW (1990) Planning and spatial working memory following frontal lobe lesions in man. Neuropsychologia 28:1021–1034. 10.1016/0028-3932(90)90137-d [DOI] [PubMed] [Google Scholar]
  37. Owen AM, Evans AC, Petrides M (1996) Evidence for a two-stage model of spatial working memory processing within the lateral frontal cortex: a positron emission tomography study. Cereb Cortex 6:31–38. 10.1093/cercor/6.1.31 [DOI] [PubMed] [Google Scholar]
  38. Pauwels PJ, Van Gompel P, Leysen JE (1993) Activity of serotonin (5-HT) receptor agonists, partial agonists and antagonists at cloned human 5-HT1a receptors that are negatively coupled to adenylate cyclase in permanently transfected hela cells. Biochem Pharmacol 45:375–383. 10.1016/0006-2952(93)90073-6 [DOI] [PubMed] [Google Scholar]
  39. Perani D, Garibotto V, Gorini A, Moresco RM, Henin M, Panzacchi A, Matarrese M, Carpinelli A, Bellodi L, Fazio F (2008) In vivo PET study of 5HT(2A) serotonin and D(2) dopamine dysfunction in drug-naive obsessive-compulsive disorder. Neuroimage 42:306–314. 10.1016/j.neuroimage.2008.04.233 [DOI] [PubMed] [Google Scholar]
  40. Petrides M, Milner B (1982) Deficits on subject-ordered tasks after frontal- and temporal-lobe lesions in man. Neuropsychologia 20:249–262. 10.1016/0028-3932(82)90100-2 [DOI] [PubMed] [Google Scholar]
  41. Procyk E, Goldman-Rakic PS (2006) Modulation of dorsolateral prefrontal delay activity during self-organized behavior. J Neurosci 26:11313–11323. 10.1523/JNEUROSCI.2157-06.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Puig MV, Miller EK (2012) The role of prefrontal dopamine D1 receptors in the neural mechanisms of associative learning. Neuron 74:874–886. 10.1016/j.neuron.2012.04.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Puig MV, Miller EK (2015) Neural substrates of dopamine D2 receptor modulated executive functions in the monkey prefrontal cortex. Cereb Cortex 25:2980–2987. 10.1093/cercor/bhu096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Roberts AC, Robbins TW, Everitt BJ (1988) The effects of intradimensional and extradimensional shifts on visual discrimination learning in humans and non-human primates. Q J Exp Psychol B 40:321–341. [PubMed] [Google Scholar]
  45. Robinson TE, Castañeda E, Whishaw IQ (1990) Compensatory changes in striatal dopamine neurons following recovery from injury induced by 6-OHDA or methamphetamine: a review of evidence from microdialysis studies. Can J Psychol 44:253–275. 10.1037/h0084241 [DOI] [PubMed] [Google Scholar]
  46. Rushworth MFS, Nixon PD, Eacott MJ, Passingham RE (1997) Ventral prefrontal cortex is not essential for working memory. J Neurosci 17:4829–4838. 10.1523/JNEUROSCI.17-12-04829.1997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Rygula R, Walker SC, Clarke HF, Robbins TW, Roberts AC (2010) Differential contributions of the primate ventrolateral prefrontal and orbitofrontal cortex to serial reversal learning. J Neurosci 30:14552–14559. 10.1523/JNEUROSCI.2631-10.2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Sandson J, Albert ML (1984) Varieties of perseveration. Neuropsychologia 22:715–732. 10.1016/0028-3932(84)90098-8 [DOI] [PubMed] [Google Scholar]
  49. Santana N, Mengod G, Artigas F (2009) Quantitative analysis of the expression of dopamine D1 and D2 receptors in pyramidal and GABAergic neurons of the rat prefrontal cortex. Cereb Cortex 19:849–860. 10.1093/cercor/bhn134 [DOI] [PubMed] [Google Scholar]
  50. Semkovska M, Bédard MA, Godbout L, Limoge F, Stip E (2004) Assessment of executive dysfunction during activities of daily living in schizophrenia. Schizophr Res 69:289–300. 10.1016/j.schres.2003.07.005 [DOI] [PubMed] [Google Scholar]
  51. Sperber EF, Wurpel JN, Sharpless NS, Moshé SL (1989) Intranigral GABAergic drug effects on striatal dopamine activity. Pharmacol Biochem Behav 32:1067–1070. 10.1016/0091-3057(89)90083-x [DOI] [PubMed] [Google Scholar]
  52. Tyson PJ, Roberts KH, Mortimer AM (2004) Are the cognitive effects of atypical antipsychotics influenced by their affinity to 5HT-2A receptors? Int J Neurosci 114:593–611. 10.1080/00207450490430552 [DOI] [PubMed] [Google Scholar]
  53. Vaghi MM, Vértes PE, Kitzbichler MG, Apergis-Schoute AM, van der Flier FE, Fineberg NA, Sule A, Zaman R, Voon V, Kundu P, Bullmore ET, Robbins TW (2017) Specific frontostriatal circuits for impaired cognitive flexibility and goal-directed planning in obsessive-compulsive disorder: evidence from resting-state functional connectivity. Biol Psychiatry 81:708–717. 10.1016/j.biopsych.2016.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Vijayraghavan S, Major AJ, Everling S (2016) Dopamine D1 and D2 receptors make dissociable contributions to dorsolateral prefrontal cortical regulation of rule-guided oculomotor behavior. Cell Rep 16:805–816. 10.1016/j.celrep.2016.06.031 [DOI] [PubMed] [Google Scholar]
  55. Vijayraghavan S, Major AJ, Everling S (2017) Neuromodulation of prefrontal cortex in non-human primates by dopaminergic receptors during rule-guided flexible behavior and cognitive control. Front Neural Circuits 11:91. 10.3389/fncir.2017.00091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Walker SC, Robbins TW, Roberts AC (2009) Response disengagement on a spatial self-ordered sequencing task: effects of regionally selective excitotoxic lesions and serotonin depletion within the prefrontal cortex. J Neurosci 29:6033–6041. 10.1523/JNEUROSCI.0312-09.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Wang M, Vijayraghavan S, Goldman-Rakic PS (2004) Selective D2 receptor actions on the functional circuitry of working memory. Science 303:853–856. 10.1126/science.1091162 [DOI] [PubMed] [Google Scholar]
  58. Williams GV, Rao SG, Goldman-Rakic PS (2002) The physiological role of 5-HT 2A receptors in working memory. J Neurosci 22:2843–2854. 10.1523/JNEUROSCI.22-07-02843.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Winstanley CA, Theobald DEH, Dalley JW, Glennon JC, Robbins TW (2004) 5-HT2A and 5-HT2C receptor antagonists have opposing effects on a measure of impulsivity: interactions with global 5-HT depletion. Psychopharmacology (Berl) 176:376–385. 10.1007/s00213-004-1884-9 [DOI] [PubMed] [Google Scholar]
  60. Wymbs NF, Bassett DS, Mucha PJ, Porter MA, Grafton ST (2012) Differential recruitment of the sensorimotor putamen and frontoparietal cortex during motor chunking in humans. Neuron 74:936–946. 10.1016/j.neuron.2012.03.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Yin HH, Mulcare SP, Hilário MRF, Clouse E, Holloway T, Davis MI, Hansson AC, Lovinger DM, Costa RM (2009) Dynamic reorganization of striatal circuits during the acquisition and consolidation of a skill. Nat Neurosci 12:333–341. 10.1038/nn.2261 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Zhou Y, Liang M, Jiang T, Tian L, Liu Y, Liu Z, Liu H, Kuang F (2007) Functional dysconnectivity of the dorsolateral prefrontal cortex in first-episode schizophrenia using resting-state fMRI. Neurosci Lett 417:297–302. 10.1016/j.neulet.2007.02.081 [DOI] [PubMed] [Google Scholar]

Articles from The Journal of Neuroscience are provided here courtesy of Society for Neuroscience

RESOURCES