Latent infection with Toxoplasma gondii has repeatedly been shown to be associated with behavioral changes that are commonly attributed to a presumed increase in dopaminergic signaling. Yet, virtually nothing is known about its effects on dopamine-driven reward processing. We therefore assessed behavior and event-related potentials in individuals with vs. without latent toxoplasmosis performing a rewarded control task. The data show that otherwise healthy young adults with latent toxoplasmosis show a greatly diminished response to monetary rewards as compared to their non-infected counterparts. While this selective effect eliminated a toxoplasmosis-induced speed advantage previously observed for non-rewarded behavior, Toxo-positive subjects could still be demonstrated to be superior to Toxo-negative subjects with respect to response accuracy. Event-related potential (ERP) and source localization analyses revealed that this advantage during rewarded behavior was based on increased allocation of processing resources reflected by larger visual late positive component (LPC) amplitudes and associated activity changes in the right temporo-parietal junction (BA40) and left auditory cortex (BA41). Taken together, individuals with latent toxoplasmosis show superior behavioral performance in challenging cognitive control situations but may at the same time have a reduced sensitivity towards motivational effects of rewards, which might be explained by the presumed increase in dopamine.
Latent toxoplasmosis is a very common chronic parasitic infection that is caused by the protozoan parasite Toxoplasma gondii (T. gondii) and has an estimated prevalence of 30–70% among human populations worldwide1,2,3,4. While most latently infected individuals have traditionally been considered to be clinically asymptomatic5, 6, there is now mounting evidence that latent infection causes several behavioral changes even in immunocompetent individuals2, 7,8,9,10. Yet, some important functions like reward-related modulations of behavior and cognitive control have not yet been investigated, even though T. gondii is likely to have profound effects on how rewards modulate our behavior:
T. gondii infects a wide range of warm-blooded animals including humans as secondary hosts10, 11 and one of the main factors contributing to its worldwide propagation is the ability to effectively alter the behavior of these secondary hosts (manipulation hypothesis)10, 12, 13. T. gondii has been shown to induce behavioral changes in rodents (increased exploratory behavior, decreased neophobia, and loss of fear of cats) which increase the risk of predation by a feline and thus ultimately benefit the parasite by completing its reproductive cycle4, 14, 15. One of the presumed main factors driving these behavioral changes is a potentially strong increase in dopaminergic signaling during both acute and latent infection6, 8, 16, 17. Direct histological evidence of this in otherwise healthy humans is still very scarce but this is at least partly due to the fact that practical and ethical reasons forbid the use of many of the techniques used for rodents to be applied in humans. Partly compensating for this, several studies on patients with schizophrenia, which is linked to pathologically increased dopaminergic signaling, have provided compelling evidence that changes in dopamine synthesis and release provide a direct link between toxoplasmosis and associated pathological changes in both brain and behavior8, 17,18,19. Based on this and other lines of evidence, it is deemed very likely that all infected secondary hosts show an up-regulation of dopamine and display associated behavioral changes10, although the number and location of cysts might play a big role for the quality and extent of the observed changes8, 20. Yet still, there is a broad consensus that based thereon, T. gondii should also manipulate human behavior2, 10. While a healthy immune system can keep the infection in check, it cannot effectively eliminate the parasite from the brain because neurons lack the MHC class I as well as specific intracellular mechanisms to inhibit parasite growth6, 21, 22. As a consequence, latent toxoplasmosis usually persist lifelong5, 11, 23, 24 and may thus potentially increase dopaminergic signaling and associated behavior irrespective of when/how long ago the host acquired the infection.
As dopamine plays a key role in many different cognitive functions, latent toxoplasmosis may have multiple effects on infected individuals. Two cognitive domains which have repeatedly been shown to be modulated by dopamine are cognitive control and reward/motivation25. But while several recent studies have shown toxoplasmosis-associated changes in executive functions such as inhibition, task switching, and working memory7, 9, 26, virtually nothing is known about whether or how latent toxoplasmosis alters the effects of rewards on behavior in otherwise healthy individuals, even though rewards have been shown to modulate the before-mentioned cognitive processes27,28,29. In rodents, T. gondii infection has been associated with a greater tolerance of reward forfeiture30, more risk-taking/less risk aversion30, 31, and an increased delay aversion for rewards32. In humans, latent toxoplasmosis has so far only been associated with increased sensation seeking33 and addiction34 but it has not been investigated at all whether or how T. gondii alters the behavioral modulation by reward. The presumed increase in dopaminergic signaling induced by T. gondii could amplify the effects of reward because increases in the dopamine response to reward have been shown to reflect its subjective value as well as formal economic utility35. If this was the case, latently infected individuals should respond more strongly to rewards and/or be inherently more motivated. However, the brains of latently infected individuals might also have homeostatically adjusted to the permanently elevated dopaminergic signaling and thus become less sensitive towards dopaminergic reward signals. Against this background, the supposed increase in sensation seeking33 could indicate that latently infected individuals require more stimulation to feel rewarded. In this case, they should respond less to rewards.
To investigate this matter and test whether one of the above-mentioned hypotheses holds true, we asked latently infected and matched non-infected young healthy adults to perform a rewarded stop-change task36,37,38 which had previously been shown to dissociate the behavior and associated neurophysiological correlates of Toxo-negative and –positive individuals in the absence of rewards (i.e. better behavioral performance/faster responses and smaller P3 amplitudes in Toxo-positive individuals9). To analyze the potential effect of rewards on task performance measures, we compared the behavioral data obtained from rewarded Toxo-positive and –negative groups with each other and furthermore separately compared both Toxo groups to the data obtained in a previous, non-rewarded study using the same experimental paradigm9 (Please note that neurophysiologic data could not be directly compared between studies as the current and the previous studies were conducted in two different labs with different EEG hardware).
To assess which cognitive sub-processes differ between rewarded Toxo-positive and –negative individuals, we quantified several event-related potentials (ERPs): Firstly, we quantified the P3, which is generally thought to link perception and action/reflect stimulus-response matching39. The P3 at fronto-central electrodes had previously been shown to reflect behavioral performance differences based on task goal processing strategies and to furthermore be modulated by dopamine in the context of our experimental paradigm38, 40. Moreover, the P3 at parietal sites had previously been associated with improved action control/faster responses in non-rewarded Toxo-positive individuals performing this task9. Additionally, we quantified the visual P1 and N1 ERPs to assess potential differences in early attentional stimulus processing41,42,43 as well as the visual late positive component (LPC). While none of our previous studies indicated a link between dopaminergic changes or toxoplasmosis and modulations of P1 and N1 amplitudes, they have been shown to be modulated by other factors like GABAergic signaling (which may be influenced by dopamine44) and were thus quantified to provide a more complete picture. While the LPC has not yet been shown to be altered by dopamine or latent toxoplasmosis, it has been demonstrated to be modulated by the intrinsic motivational significance of visual stimuli, as defined by increased autonomic responses and reports of greater affective arousal45, 46. Based thereon, it has been argued that the LPC might indicate “a selective processing of emotional stimuli, reflecting the activation of motivational systems in the brain”45. Given that the LPC has been reported to reflect motivated attention towards task-relevant information, including the prioritization of visual information related to behavioral performance47, we analyzed this ERP component.
Taken together, we investigated whether latent infection with the protozoan parasite T. gondii, which is known to increase dopamine synthesis and release in rodents and assumed to do the same in humans, alters the effects of rewards on behavior. For this purpose, we asked n = 14 young healthy latently infected (Toxo-positive) individuals and n = 14 matched non-infected (Toxo-negative) counterparts to perform a rewarded Stop-Change Task48 (for details, please refer to Fig. 1 and the methods section) that had previously demonstrated behavioral differences between infected and uninfected healthy young adults9. Both rewarded groups were compared to each other and to the behavioral data obtained in a previous study investigating the effect of latent toxoplasmosis with an identical, but unrewarded paradigm. ERPs were not compared across studies because the current and previous samples had been assessed in two differently equipped EEG labs.
We first analyzed the 576 GO trials, in which the participants were required to perform a simple right hand response (either index or middle finger button press) to a centrally presented visual stimulus (for details, please see methods section). The univariate ANOVAs for accuracy and hit RTs of GO trials revealed no significant differences between the two groups (all F(1,26) ≤ 1.933; p ≥ 0.176).
We then analyzed the 144 Stop-Change (SC) trials in which a right hand response to an initially presented GO stimulus had to be inhibited/aborted upon the presentation of a visual STOP stimulus while an alternative response to a simultaneously presented auditive CHANGE stimulus had to be carried out with the left hand (for details, please see methods section). The univariate ANOVA of SC trial accuracy yielded a main effect of group (F(1,26) = 5.445; p = 0.028; η²P = 0.173) with Toxo-negative subject showing significantly lower accuracy values (60.49% ± 11.22) than Toxo-positive subjects (68.43% ± 6.01). The analysis of SC trial hit RTs did not yield a significant group difference (F = 1.483; p = 0.234). This lack of group differences stands in a striking contrast to a previous study where we had applied the same experimental paradigm (minus the reward manipulation used in this study) to examine the difference between Toxo-negative and Toxo-positive healthy young adults9. In that previous unrewarded study, the SC hit RTs of Toxo-positive subjects were significantly faster (949.78 ms ± 171.48) than those of Toxo-negative subjects (1121.47 ms ± 196.64). As the previous and current sample were recruited using the same inclusion and exclusion criteria and furthermore did not differ with respect to age (t = −0.039; p = 0.969), we compared the SC hit RTs from this study to the mean hit RT values obtained in the unrewarded (and unrelated) sample of our previous study (i.e. we compared the Toxo-negative group of this study to the mean value of the Toxo-negative group of the previous unrewarded study and likewise, the Toxo-positive group of the current study to the mean value of the Toxo-positive group of the previous unrewarded study). The tests revealed that with a mean difference of −288 ms, the rewarded Toxo-negative subjects responded significantly faster than the non-rewarded Toxo-negative subjects assessed in the previous, unrewarded study (t = −4.739; p < 0.001). In contrast to this, the rewarded Toxo-positive subjects did not differ from the unrewarded Toxo-positive subjects assessed in the previous, unrewarded study (t = −0.561; p = 0.584; mean difference: −25 ms).
Taken together, the behavioral analyses showed that rewarded Toxo-positive subjects had a higher accuracy rate in the SC condition than rewarded Toxo-negative subjects. Unlike what was found in previous studies, Toxo-negative and –positive subjects did not differ with respect to response times. Yet, a direct comparison with “baseline” data obtained in a previous, unrewarded study9 suggests that in case of complex stimulus input which requires both inhibition cognitive flexibility, rewards speed up responses in Toxo-negative subjects, but not in Toxo-positive subjects.
Given that only the SC condition showed group differences, we focused our neurophysiological analyses of this condition and omitted the simple GO condition that had not shown behavioral group differences.
The analyses of the visual P1 and N1 amplitudes at electrodes P7 and P8 did not reveal any significant effects (all F ≤ 1.977; p ≥ 0.172).
The amplitudes of the visual LPC at electrodes P7 and P8 showed a main effect of group (F(1,26) = 12.604; p = 0.001; η²P = 0.326) with larger amplitudes in the Toxo-positive group (24.460 µV/m² ± 2.651) than in the Toxo-negative group (11.152 µV/m² ± 2.651) which is plotted in Fig. 2. sLORETA source localization of this group difference within the LPC quantification time window from 420 to 440 ms revealed a larger activation in the Toxo-positive group for both the right BA40 and the left BA41 in the (see Fig. 2). The main effect of electrode as well as the interaction of electrode and group were non-significant (all F ≤ 4.176; p = 0.051).
The P3 ERP at both quantification sites is plotted in Fig. 3. The P3 amplitude quantified at electrode Cz did not reveal a significant group difference (F(1,26) = 0.313; p = 0.581). Also, the P3 amplitude quantified at electrodes PO1 and PO2 did not reveal any significant effects of group, electrode, or their interaction (all F ≤ 2.754; p ≥ 0.109).
As the sample only contained 14 subjects in both groups, we conducted additional power analyses to determine the achieved power. For the main effect of group on accuracy and LPC amplitudes we hence conducted two separate analyses using the G*Power software package49. First, the obtained η²P were converted to f-values (accuracy: η²P = 0.173 was converted to f = 0.4575728; LPC: η²P = 0.326 was converted to f = 0.6954707) and then entered in the achieved power calculation for one-way ANOVAs (each with an alpha error probability of 0.05, a total sample size of n = 28 and 2 groups). This yielded a power of 64.48% for the SC accuracy analysis and a power of 94.31% for the LPC analysis. This shows that while the behavioral analysis would have benefited from a larger sample, the neurophysiological analysis was sufficiently powered and can thus be regarded as reliable.
Exposure to (other) infectious agents
In order to exclude the possibility that the observed Toxo-related behavioral results were moderated by general differences in the exposure to common viral or bacterial infections, that may also be responsible for undetected unspecific neurologic disorders50, we conducted additional analyses to assess IgG antibodies to common infectious agents, which would not be expected to alter dopamine in the brain (i.e. Human Cytomegalovirus, Herpes simplex virus 1 and 2, Epstein-Barr virus, Respiratory Syncytial virus, Adenovirus, Parainfluenza virus Type 1, 2 and 3, Chlamydia pneumoniae and Mycoplasma pneumoniae). The selection of these infectious agents was based on the assumption that they are predominantly acquired in childhood, as the subjects were mainly students aged 18 to 30, where endemic infection and consecutive seroprevalence are expected to be at a high level in Germany. Also, there is no vaccination recommendation of the German Standing Committee on Vaccination (STIKO) against the tested infectious agents.
The results of our analyses revealed common prevalence values, none of which significantly differed between the Toxo-positive and Toxo-negative groups (all p ≥ 0.246; see supplementary material for details). Also, none of the additionally investigated infections caused a significant behavioral difference, as observed for latent toxoplasmosis (all p ≥ 0.156; see supplementary material for details).
T. gondii has been shown to manipulate the behavior of its secondary hosts, which is commonly assumed to be at least partly driven by an unspecific increase in dopamine synthesis and –release2, 16, 17. Based thereon, we investigated whether latent toxoplasmosis also affects the reward-related modulation of cognitive control, as the effects of rewards heavily depend on dopaminergic signals35. To elucidate this question, we compared behavioral and neurophysiological measures of Toxo-positive and–negative healthy young adults performing a rewarded stop-change task, that had previously shown superior performance in Toxo-positive subjects9.
At the behavioral level, we found that in the SC condition, rewarded Toxo-positive subjects responded with a higher accuracy than rewarded Toxo-negative subjects. Yet, a comparison with data obtained from a previous non-rewarded study using the same paradigm9 revealed that there was no RT difference between groups in rewarded participants whereas non-rewarded Toxo-positive participants had previously shown markedly faster responses than Toxo-negative ones9. Further statistical comparisons of the data obtained in the current vs. previous study revealed that rewarding participants seems to significantly speed up correct responses of Toxo-negative subjects, but not those of Toxo-positive subjects. Taken together, these findings suggest that both in rewarded and non-rewarded experimental setups, latent toxoplasmosis (and the assumed increase in dopaminergic signaling) seems to improve behavioral performance in case of very challenging simultaneous stimulus input. Given that only the responses of Toxo-negative subjects seem to be speeded up by rewards, it can however also be stated that the effects of rewards on behavioral performance were greatly diminished in Toxo-positive individuals. This finding supports the second hypothesis outlined in the introduction, namely that Toxo-positive individuals respond less to rewards as they might have become less sensitive towards modulations of the dopaminergic reward signal due to the presumed constantly elevated dopaminergic signaling. Given that rewards had improved the RTs of Toxo-negative subjects to the performance level of Toxo-positive subjects, it can however not be stated that rewarded Toxo-positive individuals are generally less motivated than rewarded Toxo-negative individuals. Of note, this behavioral effect of toxoplasmosis on reward processing could not be explained by the exposure to (other) infectious agents that may also be responsible for undetected unspecific neurologic disorders50 (see supplementary material for details). While we definitively require further studies to either substantiate or disprove this claim, it could be possible that the assumed chronic increase in dopaminergic signaling of Toxo-positive individuals8, 16, 17 chronically enhances their dopamine levels, thus mimicking the effects of reward found in non-affected individuals. Alternatively, it would however also be plausible that the presumed elevated dopamine levels only enable better cognitive control in Toxo-positive individuals but do not permanently increase motivation itself.
On the neurophysiologic level, we found that the higher SC accuracy rates of the Toxo-positive group were reflected by larger visual LPC amplitudes at parietal/occipital electrodes (P7/8). The LPC reflects motivated attention towards task-relevant information including the prioritization of visual information related to behavioral performance47. It has furthermore been associated with the allocation of attentional resources to changes51 as well as updating and perceptual reversal52, all of which are important to successfully perform the switch required in the SC condition. The fact that a larger LPC has also been associated with both successful inhibition and accuracy in a matching task53 nicely matches the finding of higher accuracy in the Toxo-positive group as accuracy is strongly dependent on successful inhibition in the SC condition (due to the applied staircase procedure; please compare methods section). With regard to reward, the LPC has been shown to be modulated by the intrinsic motivational significance of visual stimuli, as defined by increased autonomic responses and reports of greater affective arousal45, 46. Based thereon, it has been argued that the LPC might reflect “the activation of motivational systems in the brain”45. Trying to clarify the underlying mechanisms, Furley et al.47 have proposed that „higher-order neural hubs that code affective information or govern the distribution of attentional resources provide top-down information that feeds, in a reentrant fashion, into structures coding basic perceptual features” so that the visual representation of motivationally relevant stimuli is enhanced. It hence seems that accuracy differences between the two groups originate in how much cognitive resources are allocated to detecting and processing the task-relevant STOP + CHANGE stimulus. This was further supported by the findings of the sLORETA which revealed that the larger LPC amplitudes of the Toxo-positive group were based on larger activation within the right BA40 as well as the left BA41. This also matches previous reports stating that changes in LPC amplitudes originate in networks coding both sensory and affective features47. BA 40 is part of the inferior parietal lobule/temporo-parietal junction (TPJ) and has been associated with the top-down guided allocation of (visual) spatial attention54,55,56. It has furthermore been shown to play an important role in both the ventral attention network and the fronto-parietal control network55 and to be relevant for dual task performance as it sustains executive control56, 57. Lastly, especially the right TPJ has been shown to play a critical role for the detection of novel and behaviorally relevant stimuli, attentional reorienting, target detection, and processing of competing stimuli54. Also, the TPJ is concerned with post-perceptual processes involved in contextual updating and adjustments of top-down expectations58. All taken together, these findings on TPJ function nicely match the claim that the LPC could reflect perceptual reversal and its post-perceptual appraisal as well as task-relevant working memory updating52, 59. Based thereon, it can be inferred that changes in the activity of the right BA40 in our study should reflect the detection and reorienting to the visual STOP + CHANGE stimulus and probably also contextual working memory updating. In contrast to this, BA41 is part of the primary auditory cortex which is central to the accurate perception of pitch/tone frequency60, 61. Given that the relevant CHANGE signal information was coded by the pitch, it can be inferred that activation differences in the left BA41 should reflect better processing of the incoming task-relevant CHANGE stimulus information. Successful inhibition has been suggested to rely on the adjustment of attentional settings to optimize stimulus detection and evaluation62,63,64, and the LPC has been implied in both inhibition53 and attentional reorientation towards task-relevant stimuli47. Based thereon, it can be stated that the higher accuracy of rewarded Toxo-positive subjects seems to be based on the an increased allocation of cognitive resources to processing task-relevant features of the visual STOP stimulus (right BA 40) as well as the auditory CHANGE stimulus (left BA41).
In contrast to the LPC, the P1 and N1 ERPs, which reflect early attentional processing of visual stimuli41, did not reflect group differences. Together with the fact that none of our previous studies found these two ERPs to be modulated by dopamine in the stop-change task38, 40, this supports the notion that toxoplasmosis primarily affects top-down cognitive control processes9, but not attentional processes. The lack of differences in both the central and parietal P3 ERPs, which reflect stimulus-response matching39, was however unexpected because these processes have previously been shown to be modulated by dopamine in this experimental paradigm38, 40. Furthermore, the parietal P3 had previously been associated with improved action control/faster responses in non-rewarded Toxo-positive individuals performing this task9. In both cases (i.e. central and parietal P3 amplitudes), smaller amplitudes had previously been associated with better behavioral performance. This lack of expected effects could however be explained by the nature of group differences found in this study: The association of P3 amplitude differences with behavioral performance differences was always based on hit RTs (i.e. faster responses in one of the respective investigated groups), but the effects of our current study were based on accuracy, i.e. a different behavioral measure. Given the reduced responsivity of Toxo-positive individuals towards rewards, one might speculate whether the stronger reward response of Toxo-negative subjects might have increased their levels of released dopamine to equal the presumed chronically elevated dopamine release in Toxo-positive individuals, thus possibly ‘evening out’ some of the previously observed effects (i.e. hit RT and parietal P3 differences).
However, the current study has a few limitations which shall also be discussed: Latent toxoplasmosis is a lifelong infection so that prevalence increases with age. Due to this reason, our initial screening only yielded 14 Toxo-positive individuals. While this yielded a sufficient power for the ERP analysis as determined post-hoc, the behavioral analyses would surely have benefitted from additional subjects. Our findings should therefore be substantiated by further studies with ideally larger sample sizes. -Also because a replication in another, independent sample would substantiate the claim that the differences we found are truly specific to latent toxoplasmosis. Furthermore, studies with performance-based rewards would be a useful follow-up to our current study, which was based on sham-rewards that only seemed to be based on performance. The reason for this is that our previous study had shown Toxo-induced performance differences9, which might have confounded the effects of reward (for elaboration on this, please see methods section). Furthermore, we recruited all subjects from a population of Caucasian university students of Western European descent (which ensured a quite homogenous group with respect to socioeconomic and genetic factors) that all stated to be healthy and free of any psychiatric or neurologic disease. At least the latter may have excluded functionally impaired individuals with latent toxoplasmosis and may thus have potentially induced a selection bias. Lastly, we did not directly assess changes in dopaminergic signaling, but only its effects on rewarded behavior. It is an undisputed fact that reward effects are mainly mediated by dopamine25 and it has also been well-established that latent toxoplasmosis enhances dopaminergic signaling in rodents6, 8, 16, 17. While the direct histological proof of enhanced dopamine synthesis and release in humans still needs to be established, it is deemed very likely by leading experts in the field6, 8, 17, 18 so that we deem it likely that the reported effects may be based on T. gondii-induced changes in dopaminergic signaling. Yet still, T. gondii has several direct and indirect effects on the brains of its secondary host (for review, please refer to Parlog et al.6) so that we cannot entirely exclude the possibility that other factors such as neuroplasticity or apoptosis may have contributed to our findings.
Taken together, individuals with latent toxoplasmosis showed a greatly diminished the response to monetary rewards and its effect on cognitive control processes as compared to non-infected individuals. This does however not imply impaired behavioral performance as the Toxo-positive subjects could still be demonstrated to be superior to Toxo-negative subjects with respect to response accuracy in a cognitively challenging multitasking condition. Specifically, the better performance of rewarded Toxo-positive individuals was based on the increased allocation of processing resources serving the detection of and reorienting to task-relevant visual and auditory stimuli as reflected by larger LPC amplitudes and higher BA40 and BA41 activity. This suggests that the presumed chronic increase in dopaminergic signaling in latent toxoplasmosis may boost behavioral performance in challenging cognitive control situations but may at the same time reduce the sensitivity towards motivational effects of rewards.
We screened a sample of n = 131 young healthy subjects for latent toxoplasmosis (for details, please refer to the text section “Assessment of Toxoplasma gondii antibodies”). All screened individuals were students of the TU Dresden who had been recruited via online ads and flyers. Inclusion criteria were age (18-30 years) and right-handedness. Exclusion criteria were any psychiatric or neurological diseases, any current or regular medication (with the exception of oral contraceptives for females) as well as any impairments of hearing or vision. The initial screening sample yielded n = 14 (4 ♂, 10 ♀) Toxo-positive individuals which were invited to take participate in the study. An equally large Toxo-negative subsample n = 14 (4 ♂, 10 ♀) matched for sex and age (±2 years) was invited to participate in the study as the control group. The status of latent toxoplasmosis was reassessed based on blood samples drawn on the day of the experiment to exclude potential mix-ups or new infections that might have occurred in between the initial screening and the day of the experiment. All data was collected in a double-blind protocol so that at the time of study participation, neither the experimenter nor the subjects knew who had latent toxoplasmosis and who did not. The characteristics and comparison of both samples are given in Table 1. All participants stated to be right-handed and had normal or corrected-to-normal vision and hearing. None the participants reported any history of psychiatric or neurologic disease, nor were any of the participants on regular or current medication (with the exception of oral contraceptives). Prior to the experiment, each participant gave written informed consent and received 50 € after taking part in the study. The study was approved by the ethics committee of the Faculty of Medicine of the TU Dresden and subjects were treated in accordance with the declaration of Helsinki.
Participants were seated in a dimly lit and sound-attenuated room. Stimuli were presented on a 17′′ CRT monitor and via headphones with the help of Presentation (v. 17.1, Neurobehavioral Systems, Inc.). Responses had to be given with the help of four buttons located on a regular keyboard.
The task was a modified version of the stop-change paradigm by Verbruggen et al.48. At the start of each trial, a rectangular frame (20 × 96 mm) containing four vertically aligned circular frames (8 mm diameter) and three horizontal reference lines (line thickness: 1 mm; width: 8 mm) separating the circles were presented on black background in the center of the screen. After 250 ms, one of the circles was filled with white colour, thus turning into the GO stimulus (target). In the GO trials (80% of trials), participants were instructed to indicate whether the target was located above or below the middle reference line. Responses were given by pressing the “K” key with the right middle finger (“above” judgment) or by pressing the “N” key with the right index finger (“below” judgment) on the keyboard. The stimuli remained on the screen until the participant responded. In case of responses longer than 1000 ms, the German word “Schneller!” (engl. “Faster!”) was presented above the box until the participant responded and thereby ended the trial. The remaining 20% of the trials were stop-change (SC) trials. Like GO trials, SC trials started with the presentation of the empty array followed by the target. After a variable stop signal delay (SSD), a STOP signal (a red rectangle replacing the white frame) was presented. Upon its appearance, participants were required to try to inhibit their right hand response to the GO stimulus. The SSD was initially set to 450 ms and adapted to the participants’ performance by means of a ‘staircase procedure, roughly yielding a 50% probability of successfully inhibited GO responses. The STOP signal was simultaneously presented with a CHANGE stimulus, which was a 100 ms sine tone (75 db SPL) presented via headphones. It could be either high (1300 Hz), medium (900 Hz) or low (500 Hz). Each of the tones coded for one of the reference lines (high tone = high line medium tone = medium line, low tone = low line) so that the CHANGE signal in SC trials “assigned” a new reference line. All three tones/reference lines were in effect equally often. The required CHANGE response had to be performed with the left hand. If the target was above the newly indicated reference line, the “S” key press (left middle finger) was required and if the target was located below the newly assigned reference line, a “C” key press (left index finger) was required. In case of response times (RTs) longer than 2000 ms, the German word “Schneller!” (translates to “Faster!”) was presented above the box until the participant responded to end the trial. After each SC trial, the SSD for the next SC trial was adjusted by the above-mentioned staircase algorithm48. In case of a correct response (defined as a correct inhibition of GO response and a correct CHANGE response), the SSD was prolonged by 50 ms, and otherwise shortened by 50 ms. Due to this adaptive procedure, subjects respond incorrectly or prematurely in roughly half of the SC trials. To keep the experiment within reasonable limits, SSDs were confined to the range from 50 to 1000 ms. Each trial was followed by an inter-trial interval of 900 ms. Participants were instructed to respond as fast and accurately as possible. The experiment consisted of 720 trials divided into 6 blocks. The trial order was pseudo-randomized. Furthermore, each participant completed an extensive training block prior to the experiment.
To investigate whether rewards differentially affect behavior in Toxo-negative and Toxo-positive individuals, we rewarded all participants of this study. Since a previous, non-rewarded study evidenced that latent toxoplasmosis may cause performance improvements in at least one of the investigated conditions9, we however refrained from issuing performance-based rewards. Instead, we only told participants that rewards were based on performance, when they were actually fixed. This was done as follows:
Before the start of the task, the participants received the information that they would start out with a basic reimbursement of 40 €. In each of the six blocks, they could ostensibly earn up to 2 € based on a “complicated ratio of speed and accuracy that was automatically determined by the computer program”. They could however not lose any money. By pretending that the reward was based on an overly complicated algorithm, we kept the subjects from counting correct answers or the like to estimate or predetermine their reward within each block. This procedure was successful as all participants stated be convinced that the rewards had “clearly reflected” their behavioral performance when questioned by the experimenter at the end of the data collection.
After each block, the participants received feedback on their ostensible performance-based rewards (total amount earned as well as rewards earned in the previous block) in the middle of the screen. The block-wise rewards were designed to mimic some learning effects as a previous study using this paradigm indicated that performance improves over time65. To avoid a coincidental uncovering of our fixed rewards (e.g. by two participants accidentally knowing each other and comparing their individual rewards), the rewards were subject to slight random variations with each subject (see Fig. 4). After the completion of all six blocks, the individual rewards would however always end up between 49,51€ and 49,99€ which was then “generously” rounded up to 50 € by the experimenter. Of note, the rewards of the two groups did not differ significantly in any of the blocks (all p ≥ 0.110).
EEG recording and ERP quantification
The EEG was recorded using a QuickAmp amplifier (Brain Products, Inc.) with 60 Ag–AgCl electrodes at standard equidistant scalp positions. The reference electrode was located at Fpz and all electrode impedances were set to <5 kΩ during recording. The data were recorded with a sampling rate of 500 Hz and later (offline) down-sampled to 256 Hz. Next, an IIR band- pass filter ranging from 0.5 to 20 Hz (with a slope of 48 db/oct each) and a notch at 50 Hz were applied. A manual inspection of the data was performed to remove technical artifacts and rare artifacts such as jaw clenching. Recurring artifacts caused by eye movements, heart rate etc. were removed by means of an independent component analysis (ICA) using the infomax algorithm as implemented in BrainVision Analyzer 2.1. Single trial segments were formed for correct SC trials only, as the GO condition did not reveal significant behavioral group differences (compare results section). To be rated as correct, the trials needed to contain correct responses to the CHANGE stimulus before the onset of the speedup-sign and no premature or incorrect button presses either before or after the CHANGE stimulus. The segments were stimulus-locked to the onset of the combined STOP/CHANGE stimulus, which was set to time point zero. Each segment started 1000 ms before the onset of the STOP/CHANGE stimulus and ended 1500 ms thereafter, resulting in an overall segment length of 4000 ms. An automated artefact rejection excluded all segments which met one or more of the following exclusion criteria: amplitudes below −100 μV or above 100 μV, value differences of more than 200 μV in a 200 ms interval, or value differences of less than 0.5 μV in a 100 ms interval. Next, a baseline correction was set to the time window from −900 to −700 ms to obtain a pre-stimulus baseline which was mostly unaffected by the GO stimulus presentation. Finally, the segments were averaged on the single-subject level so that ERPs could be quantified. At electrodes P7 and P8, we quantified the visual P1 ERPs by averaging the time window from 130 to 140 ms. At the same electrodes, the visual N1 amplitude was quantified from 220 to 235 ms and the LPC was quantified from 420 to 440 ms. Of note, the late positive component is an event-related potential which may sometimes be confused for a P3b52, 66, 67. It has consistently been described to start about 300 to 400 ms after stimulus onset47, 52, 67,68,69,70 and typically be maximal over posterior (parietal and occipital) electrodes for visual stimuli47, 52, 53, 68, 70, in our case over P7 and P8. The fronto-central and parietal P3 ERPs were quantified at electrode Cz from 255 to 285 ms and at electrodes PO1 and PO2 from 320 to 350 ms, respectively.
ERP source localization
For source localization analyses, sLORETA (standardized low resolution brain electromagnetic tomography)71 was used, which provides a single solution to the inverse problem71,72,73. For sLORETA, the intracerebral volume is partitioned into 6239 voxels at 5 mm spatial resolution. Then, the standardized current density at each voxel is calculated in a realistic head based on the MNI152 template74. It has been mathematically proven that sLORETA provides reliable results without a localization bias73. Moreover, there is evidence from EEG/fMRI and neuronavigated EEG/TMS studies underlining the validity of the sources estimated using sLORETA73, 75. The voxel-based sLORETA images were compared across groups (Toxo-positive vs. Toxo-negative) using the sLORETA-built-in voxel-wise randomization tests with 2000 permutations, based on statistical nonparametric mapping (SnPM). Voxels with significant differences (p < 0.01, corrected for multiple comparisons) between contrasted conditions were located in the MNI-brain.
Assessment of Toxoplasma gondii antibodies
The participants were classified as either Toxoplasma-positive or –negative based on the concentration of specific IgM and IgG anti-Toxoplasma gondii antibodies in their sera. IgG and IgM antibodies were detected in sera of candidates using a chemiluminescence immunoassay (LIAISON Toxo IgG II and IgM; DiaSorin, Saluggia, Italy) running on a LIAISON XL (DiaSorin, Saluggia, Italy), a fully automated chemiluminescence analyzer. Inactivated Toxoplasma gondii (RH strain) from sonicated and extracted trophozoites serve as test antigen. According to the instructions of the manufacturer, samples with concentrations of anti-Toxoplasma gondii-IgG antibodies greater than or equal 8.8 IE/mL were considered reactive for specific IgG-antibodies to Toxoplasma gondii. Samples with antibody concentrations less than 7.2 IE/mL were considered nonreactive for IgG. The diagnostic specificity of the IgG-test is 99.43% with a confidence level of 98.56–99.84% and the sensitivity is 100% with a 95%-confidence level of 98.45–100%. According to the instructions of the manufacturer, samples with concentrations of anti-Toxoplasma gondii-IgM antibodies greater than or equal 8 AU/mL were considered reactive for specific IgM-antibodies to Toxoplasma gondii. Samples with antibody concentrations less than 6 AU/mL were considered non-reactive for IgM. The diagnostic specificity of the IgM-test is 98.49% with a 95%-confidence level of 97.15–99.31% and the sensitivity is 100% with a 95%-confidence level of 97.45–100%. On average, the Toxo-positive group had an IgG of 59.44 IU/ml (SD = 39.52; range 17.4–174). Additionally, one of the subjects of the Toxo-positive group was tested positive for IgM antibodies (11.4 IU/ml with an avidity of 70.8%). Of note, none of the subjects included in this study were within the equivocal ranges.
Assessment of antibodies to other infectious agents
IgG antibodies to other infectious agents could only be assessed in the reward group as we only had retained serum samples of this cohort. The details and results of these additional procedures are provided in the supplementary material.
Separate univariate ANOVAs were used to analyze each behavioral and ERP measure. However, only conditions which yielded significant group differences in the behavioral data were investigated during ERP analyses. All analyses used “group” (Toxo-positive vs. Toxo-negative) as a between-subjects factor and were separately conducted for the GO and SC conditions. Additionally, the within-subjects factor “electrode” was used wherever applicable. All reported values underwent Greenhouse-Geisser correction and post-hoc tests were Bonferroni-corrected, whenever necessary. For all descriptive statistics, the standard error of the mean (SEM) is given as a measure of variability.
Boothroyd, J. C. & Grigg, M. E. Population biology of Toxoplasma gondii and its relevance to human infection: do different strains cause different disease? Curr. Opin. Microbiol. 5, 438–442 (2002).
Flegr, J. How and why Toxoplasma makes us crazy. Trends Parasitol. 29, 156–163 (2013).
Foroutan-Rad, M. et al. Toxoplasmosis in Blood Donors: A Systematic Review and Meta-Analysis. Transfus. Med. Rev. 30, 116–122 (2016).
Webster, J. P. The effect of Toxoplasma gondii on animal behavior: playing cat and mouse. Schizophr. Bull. 33, 752–756 (2007).
Kamerkar, S. & Davis, P. H. Toxoplasma on the brain: understanding host-pathogen interactions in chronic CNS infection. J. Parasitol. Res. 2012, 589295 (2012).
Parlog, A., Schlüter, D. & Dunay, I. R. Toxoplasma gondii-induced neuronal alterations. Parasite Immunol. 37, 159–170 (2015).
Beste, C., Getzmann, S., Gajewski, P. D., Golka, K. & Falkenstein, M. Latent Toxoplasma gondii infection leads to deficits in goal-directed behavior in healthy elderly. Neurobiol. Aging 35, 1037–1044 (2014).
McConkey, G. A., Martin, H. L., Bristow, G. C. & Webster, J. P. Toxoplasma gondii infection and behaviour - location, location, location? J. Exp. Biol. 216, 113–119 (2013).
Stock, A. K. H., von Heinegg, E., Köhling, H. L. & Beste, C. Latent Toxoplasma gondii infection leads to improved action control. Brain. Behav. Immun. 37, 103–108 (2014).
Webster, J. P., Kaushik, M., Bristow, G. C. & McConkey, G. A. Toxoplasma gondii infection, from predation to schizophrenia: can animal behaviour help us understand human behaviour? J. Exp. Biol. 216, 99–112 (2013).
Tenter, A. M., Heckeroth, A. R. & Weiss, L. M. Toxoplasma gondii: from animals to humans. Int. J. Parasitol. 30, 1217–1258 (2000).
Moore, J. Altered Behavioural Responses in Intermediate Hosts–An Acanthoceptalan Parasite Strategy. Am. Nat. 123, 572–577 (1984).
Webster, J. P. Rats, cats, people and parasites: the impact of latent toxoplasmosis on behaviour. Microbes Infect. Inst. Pasteur 3, 1037–1045 (2001).
Berdoy, M., Webster, J. P. & Macdonald, D. W. Fatal attraction in rats infected with Toxoplasma gondii. Proc. Biol. Sci. 267, 1591–1594 (2000).
Vyas, A., Kim, S.-K., Giacomini, N., Boothroyd, J. C. & Sapolsky, R. M. Behavioral changes induced by Toxoplasma infection of rodents are highly specific to aversion of cat odors. Proc. Natl. Acad. Sci. USA 104, 6442–6447 (2007).
Martin, H. L. et al. Effect of parasitic infection on dopamine biosynthesis in dopaminergic cells. Neuroscience 306, 50–62 (2015).
Prandovszky, E. et al. The neurotropic parasite Toxoplasma gondii increases dopamine metabolism. PloS One 6, e23866 (2011).
Flegr, J. Schizophrenia and Toxoplasma gondii: an undervalued association? Expert Rev. Anti Infect. Ther. 13, 817–820 (2015).
Horacek, J. et al. Latent toxoplasmosis reduces gray matter density in schizophrenia but not in controls: voxel-based-morphometry (VBM) study. World J. Biol. Psychiatry 13, 501–509 (2012).
Xiao, J. et al. Behavioral Abnormalities in a Mouse Model of Chronic Toxoplasmosis Are Associated with MAG1 Antibody Levels and Cyst Burden. PLoS Negl. Trop. Dis. 10, e0004674 (2016).
Schaeffer, M. et al. Dynamic imaging of T cell-parasite interactions in the brains of mice chronically infected with Toxoplasma gondii. J. Immunol. Baltim. Md 1950 182, 6379–6393 (2009).
Schlüter, D., Deckert, M., Hof, H. & Frei, K. Toxoplasma gondii infection of neurons induces neuronal cytokine and chemokine production, but gamma interferon- and tumor necrosis factor-stimulated neurons fail to inhibit the invasion and growth of T. gondii. Infect. Immun. 69, 7889–7893 (2001).
Henriquez, S. A., Brett, R., Alexander, J., Pratt, J. & Roberts, C. W. Neuropsychiatric disease and Toxoplasma gondii infection. Neuroimmunomodulation 16, 122–133 (2009).
Robert-Gangneux, F. & Dardé, M.-L. Epidemiology of and diagnostic strategies for toxoplasmosis. Clin. Microbiol. Rev. 25, 264–296 (2012).
Iversen, L. L. Dopamine Handbook. (Oxford University Press, (2010).
Gajewski, P. D., Falkenstein, M., Hengstler, J. G. & Golka, K. Toxoplasma gondii impairs memory in infected seniors. Brain. Behav. Immun. 36, 193–199 (2014).
Yildiz, A., Chmielewski, W. & Beste, C. Dual-task performance is differentially modulated by rewards and punishments. Behav. Brain Res. 250, 304–307 (2013).
Petruo, V. A., Stock, A.-K., Münchau, A. & Beste, C. A systems neurophysiology approach to voluntary event coding. NeuroImage 135, 324–332 (2016).
Zhang, R., Stock, A.-K. & Beste, C. The neurophysiological basis of reward effects on backward inhibition processes. NeuroImage, doi:10.1016/j.neuroimage.2016.05.080 (2016).
Tan, D. & Vyas, A. Toxoplasma gondii infection and testosterone congruently increase tolerance of male rats for risk of reward forfeiture. Horm. Behav. 79, 37–44 (2016).
Golcu, D., Gebre, R. Z. & Sapolsky, R. M. Toxoplasma gondii influences aversive behaviors of female rats in an estrus cycle dependent manner. Physiol. Behav. 135, 98–103 (2014).
Tan, D. et al. Infection of male rats with Toxoplasma gondii results in enhanced delay aversion and neural changes in the nucleus accumbens core. Proc. Biol. Sci. 282, 20150042 (2015).
Cook, T. B. et al. ‘Latent’ infection with Toxoplasma gondii: association with trait aggression and impulsivity in healthy adults. J. Psychiatr. Res. 60, 87–94 (2015).
Sutterland, A. L. et al. Beyond the association. Toxoplasma gondii in schizophrenia, bipolar disorder, and addiction: systematic review and meta-analysis. Acta Psychiatr. Scand. 132, 161–179 (2015).
Schultz, W. Dopamine reward prediction error coding. Dialogues Clin. Neurosci. 18, 23–32 (2016).
Gohil, K., Dippel, G. & Beste, C. Questioning the role of the frontopolar cortex in multi-component behavior–a TMS/EEG study. Sci. Rep. 6, 22317 (2016).
Gohil, K., Hahne, A. & Beste, C. Improvements of sensorimotor processes during action cascading associated with changes in sensory processing architecture-insights from sensory deprivation. Sci. Rep. 6, 28259 (2016).
Mückschel, M., Stock, A.-K. & Beste, C. Psychophysiological mechanisms of interindividual differences in goal activation modes during action cascading. Cereb. Cortex N. Y. N 1991 24, 2120–2129 (2014).
Verleger, R., Jaśkowski, P. & Wascher, E. Evidence for an integrative role of P3b in linking reaction to perception. J. Psychophysiol. 19, 165–181 (2005).
Stock, A.-K., Arning, L., Epplen, J. T. & Beste, C. DRD1 and DRD2 Genotypes Modulate Processing Modes of Goal Activation Processes during Action Cascading. J. Neurosci. 34, 5335–5341 (2014).
Luck, S. J., Woodman, G. F. & Vogel, E. K. Event-related potential studies of attention. Trends Cogn. Sci. 4, 432–440 (2000).
Beste, C., Baune, B. T., Falkenstein, M. & Konrad, C. Variations in the TNF-α gene (TNF-α -308G → A) affect attention and action selection mechanisms in a dissociated fashion. J. Neurophysiol. 104, 2523–2531 (2010).
Gajewski, P. D., Hengstler, J. G., Golka, K., Falkenstein, M. & Beste, C. The functional tumor necrosis factor-α (308A/G) polymorphism modulates attentional selection in elderly individuals. Neurobiol. Aging 34, 2694.e1–2694.e12 (2013).
Yildiz, A. et al. Feeling safe in the plane: neural mechanisms underlying superior action control in airplane pilot trainees–a combined EEG/MRS study. Hum. Brain Mapp. 35, 5040–5051 (2014).
Cuthbert, B. N., Schupp, H. T., Bradley, M. M., Birbaumer, N. & Lang, P. J. Brain potentials in affective picture processing: covariation with autonomic arousal and affective report. Biol. Psychol. 52, 95–111 (2000).
Schupp, H. T. et al. Affective picture processing: the late positive potential is modulated by motivational relevance. Psychophysiology 37, 257–261 (2000).
Furley, P., Schnuerch, R. & Gibbons, H. The winner takes it all: Event-related brain potentials reveal enhanced motivated attention toward athletes’ nonverbal signals of leading. Soc. Neurosci., doi:10.1080/17470919.2016.1182586 1–10 (2016).
Verbruggen, F., Schneider, D. W. & Logan, G. D. How to stop and change a response: the role of goal activation in multitasking. J. Exp. Psychol. Hum. Percept. Perform. 34, 1212–1228 (2008).
Faul, F., Erdfelder, E., Lang, A.-G. & Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191 (2007).
Henrickson, K. J. Parainfluenza viruses. Clin. Microbiol. Rev. 16, 242–264 (2003).
Getzmann, S. & Wascher, E. Visually guided auditory attention in a dynamic ‘cocktail-party’ speech perception task: ERP evidence for age-related differences. Hear. Res. doi:10.1016/j.heares.2016.11.001 (2016).
Davidson, G. D. & Pitts, M. A. Auditory event-related potentials associated with perceptual reversals of bistable pitch motion. Front. Hum. Neurosci. 8, 572 (2014).
Kaganovich, N., Schumaker, J. & Rowland, C. Atypical audiovisual word processing in school-age children with a history of specific language impairment: an event-related potential study. J. Neurodev. Disord. 8, 33 (2016).
Donaldson, P. H., Rinehart, N. J. & Enticott, P. G. Noninvasive stimulation of the temporoparietal junction: A systematic review. Neurosci. Biobehav. Rev. 55, 547–572 (2015).
Platz, T., Schüttauf, J., Aschenbach, J., Mengdehl, C. & Lotze, M. Effects of inhibitory theta burst TMS to different brain sites involved in visuospatial attention - a combined neuronavigated cTBS and behavioural study. Restor. Neurol. Neurosci. 34, 271–285 (2016).
Webb, T. W., Igelström, K. M., Schurger, A. & Graziano, M. S. A. Cortical networks involved in visual awareness independent of visual attention. Proc. Natl. Acad. Sci. USA 113, 13923–13928 (2016).
Collette, F. et al. Involvement of both prefrontal and inferior parietal cortex in dual-task performance. Brain Res. Cogn. Brain Res. 24, 237–251 (2005).
Geng, J. J. & Vossel, S. Re-evaluating the role of TPJ in attentional control: contextual updating? Neurosci. Biobehav. Rev. 37, 2608–2620 (2013).
Pitts, M. A. & Britz, J. Insights from intermittent binocular rivalry and EEG. Front. Hum. Neurosci. 5, 107 (2011).
Plack, C. J., Barker, D. & Hall, D. A. Pitch coding and pitch processing in the human brain. Hear. Res. 307, 53–64 (2014).
Wang, X. & Walker, K. M. M. Neural mechanisms for the abstraction and use of pitch information in auditory cortex. J. Neurosci. Off. J. Soc. Neurosci. 32, 13339–13342 (2012).
Dodds, C. M., Morein-Zamir, S. & Robbins, T. W. Dissociating inhibition, attention, and response control in the frontoparietal network using functional magnetic resonance imaging. Cereb. Cortex N. Y. N 1991 21, 1155–1165 (2011).
Hampshire, A., Chamberlain, S. R., Monti, M. M., Duncan, J. & Owen, A. M. The role of the right inferior frontal gyrus: inhibition and attentional control. NeuroImage 50, 1313–1319 (2010).
Verbruggen, F., Stevens, T. & Chambers, C. D. Proactive and reactive stopping when distracted: an attentional account. J. Exp. Psychol. Hum. Percept. Perform. 40, 1295–1300 (2014).
Mückschel, M., Stock, A.-K. & Beste, C. Different strategies, but indifferent strategy adaptation during action cascading. Sci. Rep. 5, 9992 (2015).
Pitts, M. A., Gavin, W. J. & Nerger, J. L. Early top-down influences on bistable perception revealed by event-related potentials. Brain Cogn. 67, 11–24 (2008).
Schacht, A. & Sommer, W. Emotions in word and face processing: early and late cortical responses. Brain Cogn. 69, 538–550 (2009).
Bayer, M. & Schacht, A. Event-related brain responses to emotional words, pictures, and faces – a cross-domain comparison. Front. Psychol. 5, (2014).
Hinojosa, J. A., Carretié, L., Valcárcel, M. A., Méndez-Bértolo, C. & Pozo, M. A. Electrophysiological differences in the processing of affective information in words and pictures. Cogn. Affect. Behav. Neurosci. 9, 173–189 (2009).
Valdés-Conroy, B., Aguado, L., Fernández-Cahill, M., Romero-Ferreiro, V. & Diéguez-Risco, T. Following the time course of face gender and expression processing: a task-dependent ERP study. Int. J. Psychophysiol. Off. J. Int. Organ. Psychophysiol. 92, 59–66 (2014).
Pascual-Marqui, R. D. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find. Exp. Clin. Pharmacol. 24(Suppl D), 5–12 (2002).
Marco-Pallarés, J., Grau, C. & Ruffini, G. Combined ICA-LORETA analysis of mismatch negativity. NeuroImage 25, 471–477 (2005).
Sekihara, K., Sahani, M. & Nagarajan, S. S. Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction. NeuroImage 25, 1056–1067 (2005).
Mazziotta, J. et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos. Trans. R. Soc. Lond. Ser. B 356, 1293–1322 (2001).
Dippel, G. & Beste, C. A causal role of the right inferior frontal cortex in implementing strategies for multi-component behaviour. Nat. Commun. 6, 6587 (2015).
This work was funded by a grant from the Deutsche Forschungsgemeinschaft (DFG) SFB 940 project B8 to C.B. and A.K.
The authors declare that they have no competing interests.
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Stock, AK., Dajkic, D., Köhling, H. et al. Humans with latent toxoplasmosis display altered reward modulation of cognitive control. Sci Rep 7, 10170 (2017). https://doi.org/10.1038/s41598-017-10926-6