INTRODUCTION

The anatomical connections of the habenular nuclear complex indicate that it is a link between forebrain areas and midbrain cell groups such as the locus coeruleus, raphé nuclei, substantia nigra, and ventral tegmentum that project widely to most brain regions (Sutherland, 1982). Consistent with such widespread influences, it is implicated in diverse functions including anxiety (Murphy et al, 1996; Kurumaji et al, 2003), stress (Amat et al, 2001; Sica et al, 2000), analgesia (Cohen and Melzack, 1993), maternal behavior (Corodimas et al, 1993; Felton et al, 1998), sleep (Haun et al, 1992; Valjakka et al, 1998), behavioral flexibility (Thornton and Evans, 1982), reinforcement (Sutherland and Nakajima, 1981), and spatial memory (Lecourtier et al, 2004). The recent description of 15 subnuclei within the habenular complex (Andres et al, 1999; Geisler et al, 2003) should eventually be of great assistance for future research aimed at elucidating the particular circuits that mediate these specific behaviors.

Recently, a number of findings have begun to suggest that pathology of the habenula could be involved in some of the symptoms of schizophrenia. Thus, Sandyk (1992) reported that large calcifications of the habenula are more frequent in schizophrenia patients. The epithalamus as a whole, comprising habenula plus the pineal organ, has also been shown to exhibit greater calcification in schizophrenia patients than controls (Caputo et al, 1998). A role of habenula pathology in schizophrenia has been proposed by Ellison (1994) based on several lines of evidence, particularly the findings that chronic administration of amphetamine or cocaine to rats causes degeneration in the fasciculus retroflexus output pathway of the habenula, and in man can elicit a schizophrenia-like state. Moreover, the habenula can be expected to be particularly affected by certain genetic polymorphisms that are linked to schizophrenia. For example, an association of schizophrenia with genetic variants of the neuregulin 1 (NRG1) gene has been found in several different populations (Stefansson et al, 2002, 2003; Williams et al, 2003, Yang et al, 2003; Corfas et al, 2004). Such variants should particularly affect habenula function since the medial habenula is one of the brain areas showing the highest level of expression of erbB4, a major receptor for NRG1 in the CNS (Steiner et al, 1999). Several hypotheses of how habenula pathology could generate symptoms of schizophrenia have been proposed (Sandyk, 1991; Ellison, 1994; Kelly, 1998). If as suggested, habenula pathology does contribute to the symptoms of schizophrenia, then habenula lesions in experimental animals should produce behavioral changes resembling those in schizophrenia. Recently, we began to examine this prediction by investigating the effects of habenula lesions on functions that are impaired in schizophrenia, namely memory performance, prepulse inhibition (PPI), and social interaction. Our results showed that habenula-lesioned rats exhibited a deficit in spatial learning in the Morris water maze, but no change of PPI or of social exploration, implicating habenula pathology particularly in memory impairment (Lecourtier et al, 2004).

Another frequent neurocognitive abnormality in schizophrenia, noted already by Kraepelin (1919/1971) and Bleuler (1911/1950), is disturbed attention. The concept of attention nowadays encompasses several aspects, such as sustained attention or the continuous allocation of sensory processing resources for the detection of rare events, divided attention, to monitor and respond to several different sensory channels, and selective attention, the ability to focus sensory processing resources on certain types of stimuli, while ignoring others (Robbins, 2002). Introspective reports from patients with schizophrenia (McGhie and Chapman, 1961), such as ‘I can't concentrate. It's diversion of attention that troubles me’, indicated problems in selective and sustained attention. Quantitative studies of sustained attention have mostly used the continuous performance task, in which the subject must respond to a target stimulus whenever it appears in a rapid succession of nontarget stimuli. In this task, and versions of it that either increase the working memory load by requiring a sequence of stimuli to be detected or increase the sensory processing burden by degrading the stimuli, numerous studies have shown that patients with schizophrenia have, on average, impaired performance (Orzack and Kornetsky, 1966; Nestor and O'Donnell, 1998; Cadenhead and Braff, 2000). Such deficits are indicated not only by hit rate and errors, which are influenced by response bias, but also by changes in the information processing sensitivity index, d′, which is independent of response bias. A recent meta-analysis has shown that worse performance by patients with schizophrenia in this task, assessed by d′, correlates with negative symptoms (Nieuwenstein et al, 2001). Similar effects in a substantial proportion of nonaffected siblings of patients with schizophrenia (Finkelstein et al, 1997; Chen and Faraone, 2000) suggests that attention deficit may be a marker of genetic susceptibility to schizophrenia.

To further test the hypothesis that habenula lesions in experimental animals should produce behavioral changes resembling those in schizophrenia, the present studies examine if habenula lesions modify performance in a well-studied attention task, the 5-choice serial reaction time task (5-CSRTT) in which a rat must attend to one wall of a Skinner box containing five recesses. The rat must quickly respond to a brief light stimulus that appears randomly in one of these recesses in order to obtain reinforcement (Carli et al, 1983; Robbins, 2002). This task allows changes in different aspects of attentional performance such as choice accuracy, premature responding, and perseverative responding to be determined in the same test. Moreover, a considerable amount has been discovered about the physiology and pharmacology of this task (Robbins, 2002), so that the results obtained may be integrated with this knowledge.

MATERIALS AND METHODS

Animals

The experiments were carried out with 24 male Lister-Hooded rats (Iffa Credo, France) housed in pairs in Macrolon cages (42 × 26 × 15 cm3) in a temperature-regulated (22±2°C) animal room on a 12 h light/dark cycle (lights on at 0600). Drinking water was available ad libitum. Rats performed the test daily, except that during the prelesion training they were not run at weekends. On testing days, the animals received 15–16 g of food (Nafag 890 Rat Chow, Provimi Kliba, Switzerland) per day per rat, given immediately after the test (equally distributed in two opposite corners of the cage). When no tests were performed at the weekend, lab chow was available ad libitum from Friday evening until 1100 on Sunday morning. The experiments were approved by the Cantonal Veterinary Authority of the City of Basel. Animals were acclimatized to the animal quarters for at least a week before starting the experiments, which took place during the light phase.

Surgical Procedures

Lesions of the habenula or sham operations were performed as previously described (Lecourtier et al, 2004), except that inhalation anesthesia was used. The animals were anesthetized with isoflurane (Forene®, Abbott, USA) and placed in a stereotaxic frame with the tooth bar higher than the ear bars to correspond to the stereotaxic atlas of Pellegrino et al (1979). Since this atlas is based on rats weighing between 250 and 350 g, and as the weights of our animals at the time of operation were above this range, the elevation of the tooth bar above ear bars was adjusted according to a formula (Whishaw et al, 1977), which maintains the skull at the correct angle for the stereotaxic atlas. Bilateral electrolytic lesion of the habenular nuclei (lateral plus medial) was performed with stainless-steel electrodes (00 gauge insect pins, Emil Arlt, Vienna, Austria; insulated except at the tip) by passage of a DC current of 1 mA for 15 s through the anode in the brain and a saline-soaked cotton swab on the tail as cathode. Constant current was provided by a Heinzinger LNG 350-03 power supply through a 100 kΩ series resistor, and was monitored by a current meter. The electrodes were inserted at a 10° angle in order to avoid the saggital sinus. Thus, to position the electrode tip at the point AP −2.2 mm, ML 0.6 mm, 4.8 mm below dura (Pellegrino et al, 1979), the ‘lateral’ displacement of the electrode carrier (still at an angle of 10° to the vertical) after positioning it at the midpoint of the saggital sinus at the desired AP coordinate was 1.5 mm, and the depth displacement of the electrode was 4.9 mm along the 10° angle track. For the sham-operated animals, the electrode was inserted at the same coordinates for the same amount of time, but no current was passed. After the animals awoke, they were injected (1 ml/kg s.c.) with an analgesic (0.3 mg/ml Temgesic®, Essex Chemie AG, Luzern, Switzerland) and returned to their home cage where they were allowed to recover for 8 days.

Apparatus

Six 9-CSRTT chambers (Med Associates, Vermont, USA) were used during this study. Each rat was run in the same chamber during the entire series of experiments. Five of the nine nose-poke recesses were used (numbers 1, 3, 5, 7, and 9), the others were blocked by screwed-on metal plates. The chambers were equipped with a dim house light, a stimulus light inside each recess and a pellet dispenser in the wall opposite to the stimulus recesses. Nose-pokes into the stimulus light recesses or into the food pellet well were registered by photocell beam assemblies. The chambers were housed in sound-insulated and ventilated enclosures.

The 5-CSRTT

The test was as originally described by Carli et al (1983). All experimental contingencies and collection of data were controlled by a computer program written in the MED-PC language (Med Associates, Vermont, USA). The test began by the switching on of the house light and delivery of a food pellet into the feeder. When the rat retrieved a pellet from the feeder, a 5-s intertrial interval (ITI) was initiated, followed by switching on a stimulus light in one of the stimulus recesses. If the animal nose-poked into the correct recess during the stimulus or within an immediately following limited hold period (see Table 1), a reward (45 mg Noyes pellet, Bilaney AG, Frankfurt, Germany) was delivered into the feeder. Throughout the experiment the parameters analyzed were the following:

Table 1 Stimulus Duration and Limited Hold Duration in the 5-CSRTT at Progressive Levels of Difficulty

Correct responses: A correct response was recorded when the first nose-poke after the stimulus onset within the time allowed (stimulus duration+limited hold) was into the recess where the stimulus appeared.

Incorrect responses: An incorrect response was recorded when the first nose-poke after the stimulus onset within the time allowed (stimulus duration+limited hold) was into a recess where the stimulus did not appear.

Response omissions: An omission was recorded when no recess was nose-poked within the time allowed (stimulus duration+limited hold).

Premature responses: A premature response was recorded for every nose-poke response (ie into any stimulus recess) made in the ITI between the animal retrieving a pellet and the onset of a stimulus (ie responses made after initiating a trial but before the appearance of the stimulus).

Perseverative responses: Responses made after a correct or incorrect response in the same or any other recess before nose-poking the food-reward well.

Latency to collect the food pellet: The time from a correct response to nose-poking the food-reward well to collect the food pellet, averaged over the session.

Latency of correct responses: The time from onset of the stimulus light until a correct nose-poke response, averaged over the session.

Latency of incorrect responses: The time from onset of the stimulus light until an incorrect nose-poke response, averaged over the session.

Whereas correct responses were rewarded by delivery of a food pellet, incorrect responses were followed by a timeout (TO) when the house light was switched off until the rat nose-poked into the pellet feeder well, which ended the TO and started another 5-s ITI before stimulus presentation. Premature responses during the ITI caused a 5-s TO, during which any further premature responses reset the TO to the beginning. Moreover, if the animal made no nose-poke into any recess within the duration of the stimulus and limited hold, then this ‘missed response’ also initiated an unlimited TO, from which the only means of exit was a nose-poke into the food well.

Percent correct responses, the measure of choice accuracy, and percent omissions were calculated daily to determine if a rat should progress to a higher level of difficulty. Whenever a rat reached the criterion of at least 80% correct responses and <20% omissions on two consecutive days, it was progressed to the next training level (see Table 1). Percent correct responses were calculated as correct responses/(correct responses+incorrect responses) × 100. Percent omissions were calculated as response omissions/(correct responses+incorrect responses+response omissions) × 100.

One test was given per day, lasting 30 min or 100 reinforcements, whichever came first. During each session, the stimulus light was presented approximately an equal number of times in each of the five holes, chosen randomly.

The animals were operated after at least 4 weeks at level 6, and their allocation into the two surgery groups was conducted in a counterbalanced manner based on their preoperative baseline performance. Animals that did not reach level 6 were not included in the experimental analysis. However, so that each cage contained either two lesioned or two sham-operated animals that were treated identically, they were operated appropriately and performed the test daily, receiving the same drug treatment as their cage partners. In this way variability between cages, in terms of number of rats per cage and number of drug-treated rats per cage, was reduced.

Preoperative Training

Before starting training rats were food-deprived (15–16 g of rat chow per day) and allowed to eat the food pellets in their home cages for 2 days, in order to habituate them to this new food. On the next day, the rats were placed singly in the test chambers with three food pellets in the food well and each stimulus light recess, and allowed to explore the box and eat the pellets. The following day automatic training was initiated at the easiest level of difficulty, level 1. Whenever an animal met on two consecutive days criteria of >80% correct responses and <20% omissions, as defined above, it was progressed on the following day to the next level of difficulty (see Table 1).

Postoperative Evaluation

The postoperative evaluation of the lesioned and sham-operated control animals was comprised of the following phases:

Phase 1: Baseline performance 9–20 days post-surgery. Postoperative testing began 9 days after surgery. Of 11 animals that received lesions four were excluded because of not satisfying the criteria of substantial bilateral damage to the medial and lateral habenula with only minimal damage to neighboring structures. The sham group was composed of nine rats. To assess the effect of the lesion on baseline performance shortly after lesion, the animals performed the task at level 6 once per day for 12 successive days.

Phase 2: Effect of D -amphetamine on task performance. To evaluate the response of the rats to an enhancement of dopaminergic transmission, a single dose of amphetamine (0.2 mg/kg s.c., 30 min before the session) was administered to the animals in a crossover design that allowed sensitive within-subjects statistical comparisons. On the first day, every rat received a vehicle injection (0.9% NaCl, 1 ml/kg s.c., 30 min before the session) to accustom them to being injected. On the second day, half the animals (alternate animals) were given drug and half vehicle. On the third day, all rats received vehicle. On the fourth day, the animals that had previously received drug received vehicle, and those that had previously received vehicle received drug. The data collected in the tests of the second and the fourth day were used for statistical comparisons.

Phase 3: Baseline performance 41–52 days postsurgery. Following the amphetamine experiment, the animals were not tested for a week, after which they were returned to the baseline task and tested drug-free for a further 12 days.

Phase 4: Effect of haloperidol on task performance. On the day immediately following the previous phase, the animals were injected with vehicle (1% lactic acid (pH 4.5) i.p., 30 min before the session), and on the following day all of them received an acute injection of haloperidol (0.1 mg/kg in 1% lactic acid (pH 4.5) i.p., 30 min before the session). It was clear that after 0.1 mg/kg haloperidol most animals responded very little in this task. Therefore, the rats were returned to baseline drug-free for four consecutive days, and then were tested with two lower doses of haloperidol or vehicle in a Latin square design. The treatments were vehicle (1% lactic acid, pH 4.5) or haloperidol (0.01 and 0.03 mg/kg). All treatments were administered i.p. 30 min before the session. Between treatment days, to allow elimination of drug, the animals performed the task after vehicle treatment during three consecutive days.

Phase 5: Baseline performance 77–84 days postsurgery. Following the haloperidol experiment, the animals were not tested for a week, after which they were returned to the baseline task and tested drug-free for a further 8 days.

Drugs

All solutions were prepared fresh on the day of use. D-amphetamine sulfate (Siegfried, Zofingen, Switzerland) was dissolved in 0.9% NaCl and injected in a volume of 1 ml/kg. Haloperidol (Sigma, St Louis, MO, USA) was dissolved in 1% lactic acid, brought to pH 4.5 by addition of 1 and 0.1 M NaOH, and injected in a volume of 1 ml/kg. Vehicle-treated animals received the same volume of the corresponding vehicle.

Assessment of the Lesions

Lesions were verified histologically and by assessing neurochemically the reduction of choline acetyltransferase (ChAT) in the interpeduncular nucleus (IPN), the terminal region of the habenulo-interpeduncular tract. The animals were killed at the end of the experiments by decapitation, the brains were removed, placed on an ice-cold glass plate, and the IPN was quickly dissected out for assay of ChAT. The remaining brain was immediately frozen on a metal plate on dry ice for histological verification of the lesion.

To histologically verify the extent of the lesion, the brains were freeze-sectioned in a cryostat. Slices (25 μm) were taken through the entire habenula, mounted on slides, and stained with Toluidine blue. Lesions of the habenula were considered acceptable when surrounding regions (ie dorsal hippocampus and thalamic nuclei: paraventricular, dorsomedial, lateral, and parafascicular) were spared. Four animals whose lesions did not meet these criteria were excluded from the study.

ChAT activity of the IPN was assayed by a slight modification of the method of Fonnum (1975), using [14C]acetyl coenzyme A (Amersham, UK) as acetyl donor. This activity provides an index of the lesion of the medial habenula, which contributes the majority of the cholinergic innervation of the IPN. The IPN was homogenized in ice-cold homogenizing buffer (10 mM EDTA (pH 7.4), containing 0.5% Triton X-100). A final dilution of 1:400 was made from which 5 μl were added to 10 μl of an incubation mix and the assay performed as described previously (Kelly and Moore, 1978).

Statistics

With concern to the postoperative drug-free performances, average values of the various performance parameters were calculated per rat for each of the three drug-free blocks of trials that comprised the phases 1, 3, and 5 described in the Materials and methods, and these were analyzed by two-factor ANOVA, with lesion group as one factor and trial block as a repeated factor. In the case of a significant effect of lesion group or a significant lesion group × session interaction, the data of the two groups in individual trial blocks were compared by one-way ANOVA to see when the differences occurred. Within the sham and lesion groups comparisons of the data from block 1 to that from later blocks were made by paired t-tests. Data from the amphetamine and haloperidol experiments were analyzed by ANOVA with drug treatment as a repeated factor to correspond to the use of crossover and Latin square designs in these experiments. In the case of a significant effect of lesion group or a significant lesion group × drug treatment interaction, the data of the two groups at individual dose levels were compared by one-way ANOVA. Within the sham and lesion groups, comparisons of individual doses to the vehicle control condition were made by paired t-tests. All statistical analyses were performed by means of the SYSTAT software package (Version 10.2, SPSS Inc., Chicago, IL, USA).

RESULTS

From the 24 rats at the beginning of the training session, four failed to reach the criterion and were not included in the statistical analysis. From the 11 lesioned animals, four did not have a satisfactory lesion and were also eliminated from the statistical analysis. Moreover, treatment with 0.1 mg/kg of haloperidol did not allow any analysis by ANOVA, as this dose markedly reduced responding, probably due to effects on the motor system, sham and lesioned animals making only 3.9±1.3 and 3.4±1.5 (mean±SEM) total responses, respectively. Otherwise, no data were excluded from analysis.

Choice Accuracy

Effects of bilateral habenula lesions on drug-free performance

Two-factor ANOVA showed a significant difference between groups (F(1,14)=5.27; p<0.05), a significant effect of trial block (F(2,28)=15.98; p<0.0001), and a significant interaction of these factors (F(2,28)=5.42; p<0.01). These results confirm statistically the conclusion (drawn from inspection of Figure 1) that lesioned animals performed less accurately than control animals, and that the difference between control and lesioned animals was greater as training progressed. In fact, in comparisons between the groups during the individual trial blocks, a significant difference between the control and lesion groups occurred only in the third block.

Figure 1
figure 1

Impairments of choice accuracy and elevated premature responding in bilateral habenula-lesioned rats. Choice accuracy (left panel) and premature responses (right panel) are shown during blocks of drug-free performance on postoperative days 9–20 (block 1), 41–52 (block 2), and 77–84 (block 3). Columns and bars show the means±SEM of sham-operated (n=9) and bilateral habenula-lesioned subjects (n=7). *p<0.05 compared to the sham group at the same time point (one-factor ANOVA); +p<0.05, ++p<0.01 vs same group at block 1 (two-tailed paired t-test).

Effects of D-amphetamine treatment

There was no effect of lesion group on the percentage of correct responses (F(1,14)=2.4; p>0.1). Neither was there a significant effect of drug treatment (F(1,14)=0.007; p>0.1) nor any significant interaction of lesion group × drug treatment (F(1,14)=1.9; p>0.1) (Figure 2).

Figure 2
figure 2

D-Amphetamine elevates premature responding in sham-operated and habenula-lesioned rats without influencing choice accuracy. Choice accuracy (left panel) and premature responses (right panel) are shown during sessions where the rats received saline or D-amphetamine (0.2 mg/kg s.c.) 30 min before testing. Columns and bars show the means±SEM of sham-operated (n=9) and bilateral habenula-lesioned subjects (n=7). *p<0.05 compared to corresponding sham group data (one-factor ANOVA); +p<0.05 vs same group saline condition (two-tailed paired t-test).

Effects of haloperidol treatment

The results are shown in Figure 3. There was no significant effect of lesion group on the percentage of correct responses (F(1,14)=0.3; p>0.1). Neither was there a significant effect of drug treatment (F(2,28)=3.2; p>0.1), but the interaction of lesion group × drug treatment was significant (F(2,28)=3.8; p<0.05). Inspection of the data showed that the 0.03 mg/kg dose of haloperidol impaired choice accuracy in sham, but not lesioned animals. Post hoc comparison in the sham group between the 0.03 mg/kg dose of haloperidol and vehicle treatment showed a difference that was not quite significant (paired t-test, p=0.055), so this effect is currently best considered to be a strong tendency.

Figure 3
figure 3

Haloperidol reduces premature responding in sham-operated and habenula-lesioned rats without influencing choice accuracy in lesioned rats. Choice accuracy (left panel) and premature responses (right panel) are shown during sessions where the rats received vehicle or haloperidol (0.01 or 0.03 mg/kg i.p.) 30 min before testing. Columns and bars show the means±SEM of sham-operated (n=9) and bilateral habenula-lesioned subjects (n=7). *p<0.05 compared to the sham group after the same drug treatment (one-factor ANOVA); +p<0.05 vs same group saline condition (two-tailed paired t-test).

Premature Responses

Effects of bilateral habenula lesions on drug-free performance

Two-factor ANOVA showed significant effects of lesion group (F(1,14)=12.28; p<0.005), trial block (F(2,28)=13.96; p<0.001), and a significant interaction of these factors (F(2,28)=4.73; p<0.05). These results are consistent with the conclusion that premature responses were increased in habenula-lesioned animals, and that, in contrast to the change in choice accuracy, this effect declined in magnitude over trial blocks (Figure 1).

Effects of D-amphetamine treatment

Two-factor ANOVA showed significant effects of lesion group (F(1,14)=11.69; p<0.01) and amphetamine treatment (F(1,14)=10.34; p<0.01), but no significant interaction of lesion group × drug treatment (F(1,14)=0.1; p>0.6). Thus, premature responses were higher in lesioned animals, and were increased by amphetamine (Figure 2).

Effects of haloperidol treatment

There was a significant effect of lesion group on the mean number of premature responses (F(1,14)=8.8; p<0.05), and a significant effect of drug treatment (F(2,28)=4.4; p<0.05), but no significant interaction of lesion group × drug treatment (F(2,28)=1.1; p>0.1). These results confirm the impression from inspection of the data that premature responses were elevated in habenula-lesioned animals, and that haloperidol reduced the number of premature responses (Figure 3).

Response Omissions

Effects of bilateral habenula lesions on drug-free performance

Two-factor ANOVA of the percentage omissions showed a significant effect of trial block (F(2,28)=8.46; p<0.005), but no effect of lesion group (F(1,14)=1.09; p>0.1) and no interaction of these factors (F(2,28)=0.34; p>0.1) (Table 2).

Table 2 Performance Parameters of Sham Control and Habenula-Lesioned Animals During Drug-Free Phases

Effects of D-amphetamine treatment

The percentage of omitted responses was not affected by lesion group (F(1,14)=0.2; p>0.1). Neither was there any significant effect of drug treatment (F(1,14)=1.3; p>0.1) nor any significant interaction of lesion group × drug treatment (F(1,14)=1; p>0.1) (Table 3).

Table 3 Performance Parameters of Sham Control and Habenula-Lesioned Animals after a Treatment with Either Saline or Amphetamine (0.2 mg/kg)

Effects of haloperidol treatment

There was a significant effect of lesion group on the percentage of omitted responses (F(1,14)=4.63; p<0.05), as well as a significant effect of drug treatment (F(2,28)=11.6; p<0.01), but there was no significant interaction of lesion group × drug treatment (F(2,28)=2.03; p>0.1) (Table 4).

Table 4 Performance Parameters of Sham Control and Habenula-Lesioned Animals after Treatment with Either Vehicle or Haloperidol (Hal) (0.01 or 0.03 mg/kg)

Perseverative Responses

Effects of bilateral habenula lesions on drug-free performance

As for response omissions, there was no effect of lesion group and no lesion group × trial block interaction. Two-factor ANOVA showed a significant effect of trial block (F(2,28)=3.74, p<0.05), but no effect of lesion group (F(1,14)=0.005; p>0.1) and no interaction of these factors (F(2,28)=0.005; p>0.1) (Table 2).

Effects of D-amphetamine treatment

Lesion group exerted no significant effect on the mean number of perseverative responses (F(1,14)=2.2; p>0.1). There was also no effect of drug treatment (F(1,14)=1.64; p>0.1) and no significant interaction of lesion group × drug treatment (F(1,14)=1.3; p>0.1) (Table 3).

Effects of haloperidol treatment

There was no significant effect of lesion group on the mean number of perseverative responses (F(1,14)=0.02; p>0.1). However, there was a significant effect of drug treatment (F(2,28)=14.3; p<0.0001) reflecting a reduction of perseverative responses at the higher dose. There was no significant interaction of lesion group × drug treatment (F(2,28)=1.56; p>0.1) (Table 4).

Response Latencies

Effects of bilateral habenula lesions on drug-free performance

Two-factor ANOVA on latencies of correct responses showed a significant effect of trial block (F(2,28)=5.96; p<0.01), no effect of lesion group (F(1,14)=1.96; p>0.1) and no significant interaction of these factors (F(2,28)=3.23; p>0.05). The significant effect of trial block reflects a trend for latencies to become slightly longer in the later trial blocks. Two-factor ANOVA on latencies of incorrect responses, in contrast, showed a significant effect of lesion group (F(1,14)=10.3; p<0.01). There was no effect of trial block (F(2,28)=2.76; p>0.05) and no interaction of the factors (F(2,28)=0.25; p>0.1) (Table 2).

Thus, the main conclusion that can be drawn with concern to response latencies is that habenula-lesioned animals had shorter latencies on incorrect trials, and that this difference was constant over trial blocks.

Effects of D-amphetamine treatment

Lesion group exerted no significant effect on the mean latency of correct responses (F(1,14)=0.9; p>0.1). Neither was there a significant effect of drug treatment (F(1,14)=2.35; p>0.1) nor a significant interaction of lesion group × drug treatment (F(1,14)=3.65; p>0.05) (Table 3). There was no significant effect of lesion on the mean latency of incorrect responses (F(1,14)=1.22; p>0.1). However, there was an effect of drug treatment (F(1,14)=5; p<0.05), but no significant interaction of lesion group × drug treatment (F(1,14)=0.05; p>0.1) (Table 3).

Effects of haloperidol treatment

The analysis showed no significant effect of lesion group on the mean reaction time of correct responses (F(1,14)=3.18; p>0.05). There was no effect of drug treatment (F(2,28)=3.03; p>0.05) and no significant interaction of lesion group × drug treatment (F(2,28)=0.74; p>0.1). Lesion group exerted no significant effect on the mean latency of incorrect responses (F(1,14)=0.004; p>0.1). There was no effect of drug treatment (F(2,28)=0.5; p>0.1) and no significant interaction of lesion group × drug treatment (F(2,28)=1.9; p>0.1) (Table 4).

Latency to Collect the Food Pellet

Effects of bilateral habenula lesions on drug-free performance

According to two-factor ANOVA habenula-lesioned animals showed significantly shorter latencies to collect the food pellet (F(1,14)=26.24;. p<0.001). There was also a significant effect of trial block (F2,28)=3.51; p<0.05), but no significant interaction of these factors F(2,28)=0.52; p>0.5) (Table 2).

Thus, habenula-lesioned animals collected the food pellet with a shorter latency than controls, an effect which was constant over trial blocks.

Effects of D-amphetamine treatment

Lesion group had a significant effect on the mean latency to collect the pellet (F(1,14)=11.8; p<0.01), but there was no effect of drug treatment (F(1,14)=1.98; p>0.1) and no significant interaction of lesion group × drug treatment (F(1,14)=0.41; p>0.1) (Table 3).

Effects of haloperidol treatment

There was no significant effect of lesion group (F(1,14)=1.12; p>0.1), no significant effect of drug treatment (F(2,28)=1.45; p>0.1) and no significant interaction of lesion group × drug treatment (F(2,28)=0.03; p>0.1) on the mean latency to collect the food pellet (Table 4).

Histology

As illustrated in Figure 4, habenula lesions destroyed a large proportion of both medial and lateral habenula without causing significant damage to neighboring structures. Only animals with such lesions were included in the analysis of behavioral effects.

Figure 4
figure 4

Typical sections through the habenula region of a sham-operated rat and a bilateral habenula-lesioned rat. Only animals with similar lesions, showing large destruction of the habenula without significant damage to neighboring structures, were included in the analysis of behavioral effects. mHb, medial habenula; lHb, lateral habenula; dHipp, dorsal hippocampus.

ChAT Assay

As shown in Table 5, rats with lesions of the habenula had a marked reduction, by 78%, of ChAT activity of the IPN, compared to the sham-operated animals. This result is consistent with those of previous neurochemical studies (Villani et al, 1983; Contestabile et al, 1987; Eckenrode et al, 1987) and indicates marked degeneration of the habenulo-interpeduncular cholinergic tract.

Table 5 ChAT (mean±SEM; μmol/g wet wt./h) in Homogenates of IPN from Sham- and Habenula-Lesioned Animals

DISCUSSION

The aim of the present studies was to examine whether bilateral lesions of the habenula would cause deficits in performing the 5-CSRTT, a task in which attention plays an important role. The results clearly showed that multiple deficits resulted from such lesions, and to our knowledge are the first data to demonstrate a role for the habenula in the performance of a test of attention.

The major behavioral consequences after the habenula lesion in the 5-CSRTT are a marked increase of the number of premature responses and alterations in accuracy. Interestingly, the deficits observed during the task can be distinguished in terms of their time course. At one extreme increased premature responses appeared immediately upon reinstating testing after the lesion, and thereafter declined in magnitude. At the other extreme choice accuracy was not significantly altered in the first test sessions upon reinstating testing, and became progressively worse in the habenula-lesioned animals as testing progressed. Falling between these two extremes were shortened latencies for incorrect responses and for retrieving the food pellet in lesioned animals, which appeared already in the first block of postoperative test sessions and then remained stable. Given that the habenula consists of 15 subnuclei (Andres et al, 1999; Geisler et al, 2003), it is understandable that alterations with different properties exist. Elucidating the circuits involved in these various alterations will clearly require further experiments. Here, we restrict ourselves to considering the possible role of elevated dopamine in the changes of premature responses and choice accuracy.

With regard to the increase of premature responses occurring shortly after the lesion, one possible behavioral explanation is that this increase reflects an impaired ability to focus attention only on the most relevant aspect of the task, namely the occurrence of a stimulus light. Instead, the stimulus recesses themselves that have become associated with reward during training elicit an inappropriate level of responding. As only a slight, short-lasting increase of locomotor activity is present in habenula-lesioned animals (Lecourtier et al, 2004), it is unlikely that the increase of premature responding is merely a reflection of generalized hyperactivity. Moreover, it seems unlikely that the increased premature responding could be explained by a motor effect of the lesion to nonspecifically facilitate responding in the stimulus alcoves, since there was no increase at all of perseverative responding caused by the lesion. It is currently difficult to conclude whether the increase in premature responses in habenula-lesioned rats corresponds to a particular aspect of the behavior of patients with schizophrenia. Premature responding has been considered to represent some aspect of impulsivity (Winstanley et al, 2004), which is a troubling symptom of a proportion of schizophrenics (Hoptman et al, 2002; Spivak et al, 1997, 2003). Future pharmacological characterization of this behavior in rats and of the various measures of impulsivity in man will be invaluable in deciding how well these behaviors correspond to each other.

It has been emphasized (Robbins, 1998; Chudasama et al, 2003) that the ability to inhibit inappropriate responses in a complex situation such as the 5-CSRTT is an important aspect of executive control, probably involving frontal cortical regions (Duncan and Owen, 2000). One candidate as a likely neural mechanism responsible for this effect, which is consistent with previous findings and the present data, is increased release of dopamine in mesolimbic or mesocortical dopaminergic pathways. The habenula exerts an inhibitory influence on dopaminergic cells of the ventral tegmentum (Christoph et al, 1986). Correspondingly, acute interruption of impulse flow in the habenula increases the turnover of dopamine in mesolimbic and mesocortical regions (Nishikawa et al, 1986), while chronic lesions of habenula produce a long-lasting increase of dopamine turnover selectively in frontal cortex (Lisoprawski et al, 1980). Cole and Robbins (1989) showed that the marked increase of premature responding evoked by amphetamine was greatly attenuated by 6-hydroxydopamine-induced lesions of the nucleus accumbens that damage mesolimbic dopamine terminals and mesocortical dopamine axons running through that region. This evidence is consistent with the view that lesions of the habenula result in increased mesolimbic/mesocortical dopamine release, which then causes the observed increase in premature responding. The effects of the dopamine antagonist, haloperidol, observed here are consistent with this view, as the effect of haloperidol on premature responding was to reduce it. The fact that haloperidol clearly reduced premature responding in nonlesioned animals suggests that there is some dopamine release in control animals that contributes to premature responding. For comparison, one previous study reported no significant effect of haloperidol on premature responding (Carli and Samanin, 1992) without showing the absolute data. Conceivably the possibility of obtaining a reduction was limited by a ‘floor effect’. A further study showed a tendency to reduced premature responses after the dopamine D2 antagonist, sulpiride, and a significant reduction after the dopamine D1 antagonist SCH23390 (Harrison et al, 1997). It is possible that both a reduction in the secondary-reinforcing properties of the stimulus alcoves and some motor disturbance contribute to these effects of haloperidol. However, arguing against any pronounced motor disturbance, response latencies and latencies to collect food pellets were not lengthened. In agreement with previous studies in intact animals (Cole and Robbins, 1987, 1989), amphetamine, an enhancer of dopamine release, increased premature responses in sham-operated animals. The effect of amphetamine does not seem to be due to any motor effect that generally increases nose-poking into the stimulus alcoves since perseverative responding was completely unaltered.

Since global depletion of brain serotonin by 5,7 dihydroxytryptamine increases premature responding in this task (Harrison et al, 1997; Winstanley et al, 2004), it should be considered whether increased premature responding after amphetamine or habenula lesions might be due to reduced serotonin release. With regard to amphetamine, this seems unlikely since the effect of amphetamine on serotonin release is facilitation, albeit at doses a 100-fold higher than those that affect catecholamine release (Rothman et al, 2001). Moreover, no effect of serotonin depletion on increased premature responses provoked by low amphetamine doses was observed (Harrison et al, 1997). Regarding the habenula lesion effect, the majority of studies indicate an inhibitory influence of habenula activity on serotonergic neurons (Wang and Aghajanian, 1977; Speciale et al, 1980; Reisine et al, 1982), such that the effect of lesions would be elevated serotonin release, which would be predicted to decrease premature responding.

In contrast to premature responding, choice accuracy was not significantly altered shortly after habenula lesion, but was impaired at later times. Whereas a degree of behavioral recovery often occurs after other brain lesions, we are not aware of another example of a progressive deficit after a restricted brain lesion in an adult animal. This different time course compared to that of the elevation of premature responding suggests that different neural mechanisms are involved. Also, unlike premature responding, this lesion-induced deficit was not ameliorated at all by haloperidol. Neither was choice accuracy worsened by D-amphetamine, in agreement with the effects of comparable doses in several previous studies (Cole and Robbins, 1987, 1989; Muir et al, 1995; Harrison et al, 1997). Theoretically, sensitization of dopaminergic transmission by prolonged hyperactivity (Vanderschuren et al, 1999, 2000), until it exceeded a threshold level, could be a possible explanation of the time course of impairment of choice accuracy. However, the lack of effects of haloperidol and D-amphetamine in doses that exerted effects on premature responding in the same experiment indicates that elevated dopaminergic transmission does not appear to play a role in this impairment. Alternative explanations include the possibility of some progressive neural degeneration after habenula lesion. While we have not observed any obvious neural degeneration, further studies are necessary to examine this possibility in detail. Finally, there remains the possibility of a mechanism of the type proposed by one of us (Kelly, 1998), according to which habenula dysfunction results in a progressive accumulation of delusional memories, so that cognitive functions are progressively disturbed by the accumulation of wrongly strengthened synaptic connections that are the neural substrate of these delusional memories. The progressive deficit in choice accuracy is consistent with such a mechanism, but of course does not prove it. Further, we can reasonably eliminate the possibility that this late-occurring impairment of choice accuracy arises from an impairment of visual ability, since in a different cognitive task, the Morris water-maze, rats with a lesion of the habenula performed the visible platform condition of the test as well as sham-operated controls, although they were impaired in finding the hidden platform (Lecourtier et al, 2004).

The effects of habenula lesions observed here in the 5-CSRTT do not appear to be caused by a lesion-induced increase in food motivation. A consistent finding from several laboratories is that when food motivation is reduced by prefeeding, there is an increase of ‘percentage omissions’, the percentage of stimuli that elicit no response (Carli and Samanin, 1992; Harrison et al, 1997; Grottick and Higgins, 2000, 2002; Bizarro and Stolerman, 2003). In none of these studies was choice accuracy altered by manipulating food motivation. In the present study, the lesion resulted in a delayed reduction in choice accuracy and no alteration of percentage omissions with the exception of an overall lesion effect in the haloperidol experiment. This latter result is difficult to explain currently. Thus, the lesion-induced changes cannot readily be accounted for by an alteration of motivation. Moreover, previous lesion evidence suggests that the habenula is not involved in food intake (Mok et al, 1973).

Even if attention deficits in schizophrenia are due to habenula dysfunction, it is not necessarily the case that animals with habenula lesions are a model of attentional deficit in schizophrenia in the pharmacological sense that chronic treatment with neuroleptics is expected to improve measures such as choice accuracy. It may be, for example, that the marked effect of neuroleptics on activity of the habenula (McCulloch, 1982; Palacios and Wiederhold, 1985; Room et al, 1991) is necessary for their improvement in attentional performance when administered chronically (Orzack et al, 1967; Spohn and Strauss, 1989). In this case, animals with complete habenula lesions would be a model of patients who are nonresponders to neuroleptics, in respect to their attentional choice accuracy deficit. Moreover, although in many studies of patients with schizophrenia attentional performance was improved by chronic neuroleptic treatment, there are other studies in which such treatment had no significant beneficial effect (Allen et al, 1997; Liu et al, 2000; review: Blyler and Gold, 2000). Factors contributing to such different outcomes may include the exact nature of the test, concomitant medication with the anticholinergic agent benztropine, sample size, and duration of the medication-free period before baseline assessment. It is beyond the scope of this discussion to consider all the possible factors that may contribute to such different outcomes. However, consistent with a progressive loss of the substrate for beneficial effects of neuroleptic treatment on attention, it is interesting that better effects were found in younger patients compared to older patients (Harvey et al, 2003a, 2003b), and no positive effects were found in a patient population that comprised a high proportion of patients who were neuroleptic nonresponders with respect to other symptoms (Epstein et al, 1996).

The present results are relevant to the hypothesis that habenula dysfunction is involved in the cognitive symptoms of schizophrenia. This hypothesis is based on several lines of evidence. For example, excessive calcification of the habenula or of the epithalamus, comprising the habenular nuclei plus the pineal organ, is observed in schizophrenia patients (Sandyk, 1992; Caputo et al, 1998). Moreover, chronic stimulant exposure selectively damages the lateral habenula and its fasciculus retroflexus output pathway in experimental animals (Ellison, 1992), and in man can lead to a schizophrenia-like state (Sato et al, 1983; Satel and Edell, 1991). In examining the prediction that habenula lesions would therefore cause schizophrenia-like symptoms in rats, we recently found that such lesions produced cognitive disturbance in the Morris water-maze spatial reference memory task (Lecourtier et al, 2004) that is thought to be analogous to declarative memory (O'Keefe and Nadel, 1978), which is impaired in schizophrenia (Perry et al, 2000; Cirillo and Seidman, 2003). In the same series of studies, we found no deficit of PPI of a startle response, a phenomenon that is impaired in schizophrenia patients (Braff et al, 1978, 1992, 1999). Interestingly, however, a deficit in PPI in habenula-lesioned mice has recently been described, which was not initially present but which appeared after the experience of fear-conditioning (Heldt and Ressler, 2004). Similar to the deficit in choice accuracy observed here, this deficit resulting from habenula lesion is therefore experience-dependent.

In the present experiments, the prediction that habenula lesions would cause schizophrenia-like symptoms was further tested by examining performance in a test of attentional mechanisms, since numerous studies have emphasized that disturbances of attention are common in schizophrenia (Bleuler, 1950; McGhie and Chapman, 1961; Chen and Faraone, 2000; Barr, 2001). Our results showed that habenula lesions caused multiple deficits in an attention task that is modeled after the clinically used continuous performance test of attention (Chudasama and Robbins, 2004), in which schizophrenia patients are impaired. Thus, a prediction of the hypothesis that habenula lesions contribute to cognitive impairments in schizophrenia was confirmed, so that the hypothesis withstood this challenge. The results add to accumulating evidence that the hypothesis that habenula dysfunction contributes to cognitive impairment in schizophrenia deserves further consideration.