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Decreased levels of Nogo-A-dependent signaling have been shown to affect behavior and cognitive functions. In Nogo-A knockout and knockdown laboratory rodents, behavioral alterations were observed, possibly corresponding with human neuropsychiatric diseases of neurodevelopmental origin, particularly schizophrenia. This study offers further insight into behavioral manifestations of Nogo-A knockdown in laboratory rats, focusing on spatial and non-spatial cognition, anxiety levels, circadian rhythmicity, and activity patterns. Demonstrated is an impairment of cognitive functions and behavioral flexibility in a spatial active avoidance task, while non-spatial memory in a step-through avoidance task was spared. No signs of anhedonia, typical for schizophrenic patients, were observed in the animals. Some measures indicated lower anxiety levels in the Nogo-A-deficient group. Circadian rhythmicity in locomotor activity was preserved in the Nogo-A knockout rats and their circadian period (tau) did not differ from controls. However, daily activity patterns were slightly altered in the knockdown animals. We conclude that a reduction of Nogo-A levels induces changes in CNS development, manifested as subtle alterations in cognitive functions, emotionality, and activity patterns.
The present study examined the developmental trajectories of motor planning and executive functioning in children. To this end, we tested 217 participants with three motor tasks, measuring anticipatory planning abilities (i.e., the bar-transport-task, the sword-rotation-task and the grasp-height-task), and three cognitive tasks, measuring executive functions (i.e., the Tower-of-Hanoi-task, the Mosaic-task, and the D2-attention-endurance-task). Children were aged between 3 and 10 years and were separated into age groups by 1-year bins, resulting in a total of eight groups of children and an additional group of adults. Results suggested (1) a positive developmental trajectory for each of the sub-tests, with better task performance as children get older; (2) that the performance in the separate tasks was not correlated across participants in the different age groups; and (3) that there was no relationship between performance in the motor tasks and in the cognitive tasks used in the present study when controlling for age. These results suggest that both, motor planning and executive functions are rather heterogeneous domains of cognitive functioning with fewer interdependencies than often suggested.
The Concealed Information Test (CIT) enables the detection of certain (e.g., crime-relevant or personal) information, even if participants aim to conceal their knowledge. The current preregistered study investigated whether previously observed impairing effects of alcohol intoxication on participants' performance in a reaction time CIT (RT CIT) field study also translate to a laboratory environment. In contrast to the previous study of Suchotzki and Gamer (Sci Rep 8:7825, 2018) in which alcohol consumption was voluntary and self-administered, the current study used a randomized assignment of participants to either an alcohol group (n=88; receiving a drink with 3 cl alcohol) or a sober control group (n=89; receiving a drink with just some alcohol drops to hide group assignment). After drink administration, participants completed an RT CIT, in which they were instructed to hide knowledge of their own identity. Blood alcohol concentration (BAC) was estimated via breath alcohol ratio. In contrast to the previous field study, results revealed no differences in CIT-performance between intoxicated and sober participants. Aside from questioning the robustness of the result of the previous field study, our results also point to a number of interesting theoretical explanations for the discrepancy between both results, which are elaborated in the discussion.
Introduction
We investigated a slow-cortical potential (SCP) neurofeedback therapy approach for rehabilitating chronic attention deficits after stroke. This study is the first attempt to train patients who survived stroke with SCP neurofeedback therapy.
Methods
We included N = 5 participants in a within-subjects follow-up design. We assessed neuropsychological and psychological performance at baseline (4 weeks before study onset), before study onset, after neurofeedback training, and at 3 months follow-up. Participants underwent 20 sessions of SCP neurofeedback training.
Results
Participants learned to regulate SCPs toward negativity, and we found indications for improved attention after the SCP neurofeedback therapy in some participants. Quality of life improved throughout the study according to engagement in activities of daily living. The self-reported motivation was related to mean SCP activation in two participants.
Discussion
We would like to bring attention to the potential of SCP neurofeedback therapy as a new rehabilitation method for treating post-stroke cognitive deficits. Studies with larger samples are warranted to corroborate the results.
An important feature of addiction is the high drug craving that may promote the continuation of consumption. Environmental stimuli classically conditioned to drug-intake have a strong motivational power for addicts and can elicit craving. However, addicts differ in the attitudes towards their own consumption behavior: some are content with drug taking (consonant users) whereas others are discontent (dissonant users). Such differences may be important for clinical practice because the experience of dissonance might enhance the likelihood to consider treatment. This fMRI study investigated in smokers whether these different attitudes influence subjective and neural responses to smoking stimuli. Based on self-characterization, smokers were divided into consonant and dissonant smokers. These two groups were presented smoking stimuli and neutral stimuli. Former studies have suggested differences in the impact of smoking stimuli depending on the temporal stage of the smoking ritual they are associated with. Therefore, we used stimuli associated with the beginning (BEGIN-smoking-stimuli) and stimuli associated with the terminal stage (END-smoking-stimuli) of the smoking ritual as distinct stimulus categories. Stimulus ratings did not differ between both groups. Brain data showed that BEGIN-smoking-stimuli led to enhanced mesolimbic responses (amygdala, hippocampus, insula) in dissonant compared to consonant smokers. In response to END-smoking-stimuli, dissonant smokers showed reduced mesocortical responses (orbitofrontal cortex, subcallosal cortex) compared to consonant smokers. These results suggest that smoking stimuli with a high incentive value (BEGIN-smoking-stimuli) are more appetitive for dissonant than consonant smokers at least on the neural level. To the contrary, smoking stimuli with low incentive value (END-smoking-stimuli) seem to be less appetitive for dissonant smokers than consonant smokers. These differences might be one reason why dissonant smokers experience difficulties in translating their attitudes into an actual behavior change.
Humans and other animals share choice preference for smaller-but-sooner over later-but-larger rewards, indicating that the subjective value of a reward is discounted as a function of time. This phenomenon referred to as delay discounting (DD), represents one facet of impulsivity which is inherently connected with reward processing and, within a certain range, adaptive. Maladaptive levels, however, can lead to suboptimal decision-making and represent important characteristics of psychopathologies such as attention-deficit/hyperactivity disorder (ADHD). In line with a proposed influence of dysregulated dopamine (DA) levels on impulsivity, neural structures involved in DD (the ventral-striatum [VS]; orbitofrontal cortex [OFC]) are highly innervated by dopaminergic neurons. However, studies explicitly testing the triadic interplay of dopaminergic neurotransmission, impulsivity and brain activation during intertemporal choice are missing. Therefore, the first study of the thesis examined the effect of different DA-bioavailability levels, indicated by a genetic polymorphism (Val158Met) in the gene of the catechol-O-methyltransferase, on the association of delay discounting and OFC activation. OFC response to monetary rewards that varied by delay-to-delivery was recorded with functional near-infrared spectroscopy (fNIRS) in a sample of 49 healthy human subjects. The results suggest a DA-related enhancement in OFC function from low (low DA level) to partial (intermediate DA level) and full (high DA level) reward delay sensitivity. Furthermore, DA-bioavailability was shown to moderate the association of neural reward delay sensitivity and impulsivity: OFC reward delay sensitivity was strongly correlated with impulsivity at intermediate DA-levels, but not at low or high DA-levels where impulsivity was related to delay-independent OFC amplitudes. It is concluded that DA-level should be considered as a crucial factor whenever impulsivity-related brain activation, in particular to reward delay, is examined in healthy subjects. Dysfunctional reward processing, accompanied by a limited ability to tolerate reward delays (delay aversion), has been proposed as an important feature in ADHD putatively caused by striatal hypo-dopaminergia. Therefore, the aim of the second study of this thesis was to examine subcortical processing of reward delays and to test for neural indicators of a negative emotional response to delay periods. Using functional magnetic resonance imaging (fMRI), brain activation in adult patients with ADHD (n=14) and healthy control subjects (n=12) was recorded during the processing of immediate and delayed rewards. Compared with healthy control subjects, hyporesponsiveness of the VS reward system was evident in patients with ADHD for both immediate and delayed rewards. In contrast, delayed rewards evoked hyperactivation in the dorsal caudate nucleus and the amygdala of ADHD patients, corroborating the central predictions of the delay aversion hypothesis. In combination both studies support the conception of a close link between delay discounting, brain activation and dopaminergic neurotransmission. The results implicate that studies on neural correlates of DD have to account for the DA-bioavailability level and for a negative emotional response to reward delays.
When observing another agent performing simple actions, these actions are systematically remembered as one’s own after a brief period of time. Such observation inflation has been documented as a robust phenomenon in studies in which participants passively observed videotaped actions. Whether observation inflation also holds for direct, face-to-face interactions is an open question that we addressed in two experiments. In Experiment 1, participants commanded the experimenter to carry out certain actions, and they indeed reported false memories of self-performance in a later memory test. The effect size of this inflation effect was similar to passive observation as confirmed by Experiment 2. These findings suggest that observation inflation might affect action memory in a broad range of real-world interactions.
The perception of unpleasant stimuli enhances whereas the perception of pleasant stimuli decreases pain perception. In contrast, the effects of pain on the processing of emotional stimuli are much less known. Especially given the recent interest in facial expressions of pain as a special category of emotional stimuli, a main topic in this research line is the mutual influence of pain and facial expression processing. Therefore, in this mini-review we selectively summarize research on the effects of emotional stimuli on pain, but more extensively turn to the opposite direction namely how pain influences concurrent processing of affective stimuli such as facial expressions. Based on the motivational priming theory one may hypothesize that the perception of pain enhances the processing of unpleasant stimuli and decreases the processing of pleasant stimuli. This review reveals that the literature is only partly consistent with this assumption: pain reduces the processing of pleasant pictures and happy facial expressions, but does not – or only partly – affect processing of unpleasant pictures. However, it was demonstrated that pain selectively enhances the processing of facial expressions if these are pain-related (i.e., facial expressions of pain). Extending a mere affective modulation theory, the latter results suggest pain-specific effects which may be explained by the perception-action model of empathy. Together, these results underscore the important mutual influence of pain and emotional face processing.
Spontaneous brain activity builds the foundation for human cognitive processing during external demands. Neuroimaging studies based on functional magnetic resonance imaging (fMRI) identified specific characteristics of spontaneous (intrinsic) brain dynamics to be associated with individual differences in general cognitive ability, i.e., intelligence. However, fMRI research is inherently limited by low temporal resolution, thus, preventing conclusions about neural fluctuations within the range of milliseconds. Here, we used resting-state electroencephalographical (EEG) recordings from 144 healthy adults to test whether individual differences in intelligence (Raven’s Advanced Progressive Matrices scores) can be predicted from the complexity of temporally highly resolved intrinsic brain signals. We compared different operationalizations of brain signal complexity (multiscale entropy, Shannon entropy, Fuzzy entropy, and specific characteristics of microstates) regarding their relation to intelligence. The results indicate that associations between brain signal complexity measures and intelligence are of small effect sizes (r ∼ 0.20) and vary across different spatial and temporal scales. Specifically, higher intelligence scores were associated with lower complexity in local aspects of neural processing, and less activity in task-negative brain regions belonging to the default-mode network. Finally, we combined multiple measures of brain signal complexity to show that individual intelligence scores can be significantly predicted with a multimodal model within the sample (10-fold cross-validation) as well as in an independent sample (external replication, N = 57). In sum, our results highlight the temporal and spatial dependency of associations between intelligence and intrinsic brain dynamics, proposing multimodal approaches as promising means for future neuroscientific research on complex human traits.
Promising initial insights show that offices designed to permit physical activity (PA) may reduce workplace sitting time. Biophilic approaches are intended to introduce natural surroundings into the workplace, and preliminary data show positive effects on stress reduction and elevated productivity within the workplace. The primary aim of this pilot study was to analyze changes in workplace sitting time and self-reported habit strength concerning uninterrupted sitting and PA during work, when relocating from a traditional office setting to “active” biophilic-designed surroundings. The secondary aim was to assess possible changes in work-associated factors such as satisfaction with the office environment, work engagement, and work performance, among office staff. In a pre-post designed field study, we collected data through an online survey on health behavior at work. Twelve participants completed the survey before (one-month pre-relocation, T1) and twice after the office relocation (three months (T2) and seven months post-relocation (T3)). Standing time per day during office hours increased from T1 to T3 by about 40 min per day (p < 0.01). Other outcomes remained unaltered. The results suggest that changing office surroundings to an active-permissive biophilic design increased standing time during working hours. Future larger-scale controlled studies are warranted to investigate the influence of office design on sitting time and work-associated factors during working hours in depth.
Creativity, specifically divergent thinking, has been shown to benefit from unrestrained walking. Despite these findings, it is not clear if it is the lack of restriction that leads to the improvement. Our goal was to explore the effects of motor restrictions on divergent thinking for different movement states. In addition, we assessed whether spontaneous eye blinks, which are linked to motor execution, also predict performance. In experiment 1, we compared the performance in Guilford's alternate uses task (AUT) during walking vs. sitting, and analysed eye blink rates during both conditions. We found that AUT scores were higher during walking than sitting. Albeit eye blinks differed significantly between movement conditions (walking vs. sitting) and task phase (baseline vs. thinking vs. responding), they did not correlate with task performance. In experiment 2 and 3, participants either walked freely or in a restricted path, or sat freely or fixated on a screen. When the factor restriction was explicitly modulated, the effect of walking was reduced, while restriction showed a significant influence on the fluency scores. Importantly, we found a significant correlation between the rate of eye blinks and creativity scores between subjects, depending on the restriction condition. Our study shows a movement state-independent effect of restriction on divergent thinking. In other words, similar to unrestrained walking, unrestrained sitting also improves divergent thinking. Importantly, we discuss a mechanistic explanation of the effect of restriction on divergent thinking based on the increased size of the focus of attention and the consequent bias towards flexibility.
Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for severely handicapped people with no means of muscular control. These potential users of noninvasive BCIs display a large range of physical and mental conditions. Prior studies have shown the general applicability of BCI with patients, with the conflict of either using many training sessions or studying only moderately restricted patients. We present a BCI system designed to establish external control for severely motor-impaired patients within a very short time. Within only six experimental sessions, three out of four patients were able to gain significant control over the BCI, which was based on motor imagery or attempted execution. For the most affected patient, we found evidence that the BCI could outperform the best assistive technology (AT) of the patient in terms of control accuracy, reaction time and information transfer rate. We credit this success to the applied user-centered design approach and to a highly flexible technical setup. State-of-the art machine learning methods allowed the exploitation and combination of multiple relevant features contained in the EEG, which rapidly enabled the patients to gain substantial BCI control. Thus, we could show the feasibility of a flexible and tailorable BCI application in severely disabled users. This can be considered a significant success for two reasons: Firstly, the results were obtained within a short period of time, matching the tight clinical requirements. Secondly, the participating patients showed, compared to most other studies, very severe communication deficits. They were dependent on everyday use of AT and two patients were in a locked-in state. For the most affected patient a reliable communication was rarely possible with existing AT.
Previous research suggested that people prefer to administer unpleasant electric shocks to themselves rather than being left alone with their thoughts because engagement in thinking is an unpleasant activity. The present research examined this negative reinforcement hypothesis by giving participants a choice of distracting themselves with the generation of electric shock causing no to intense pain. Four experiments (N = 254) replicated the result that a large proportion of participants opted to administer painful shocks to themselves during the thinking period. However, they administered strong electric shocks to themselves even when an innocuous response option generating no or a mild shock was available. Furthermore, participants inflicted pain to themselves when they were assisted in the generation of pleasant thoughts during the waiting period, with no difference between pleasant versus unpleasant thought conditions. Overall, these results question that the primary motivation for the self-administration of painful shocks is avoidance of thinking. Instead, it seems that the self-infliction of pain was attractive for many participants, because they were curious about the shocks, their intensities, and the effects they would have on them.
Abstract
Tobacco addiction is considered as a chronic relapsing disorder, characterized by compul-sive drug seeking and intake. Learning processes are stressed to account for the situational-specific expression of core features of the disorder, e.g., craving for drug, tolerance and ex-cessive consumption. According to incentive theories, smoke conditioned stimuli are hy-pothesized to be appetitive in nature, promoting craving, approach and consummatory be-havior. Commonly, smoking cues are treated as simple excitatory conditioned stimuli formed by a close and reliable overlap with the drug effect. However, the smoking ritual comprises a multitude of stimuli which may give rise to different forms of learning and con-ditioned responses partially opposing each other. Previous research suggests the predictive content and the temporal proximity of smoking stimuli to the drug effect as important de-terminants of cue reactivity. In contrast to stimuli related to the preparatory stage of smok-ing and the start of consumption (BEGIN stimuli), stimuli from the terminal stage of smok-ing (END stimuli) apparently lack high cue reactivity. Several lines of evidence suggest the poor cue properties of terminal stimuli to be related to their signaling of poor smoke availa-bility. Indeed, cue reactivity is commonly decreased when smoking appears to be unavaila-ble. Moreover, the learning literature suggests that stimuli predictive for the non-availability of reward may acquire the capacity to modulate or oppose the responses of ex-citatory conditioned stimuli. Therefore, the aim of the present thesis was to enhance our knowledge of stimulus control in human drug addiction and incentive motivation by running a series of conditioning studies with smoke intake and monetary reward as reinforcer. Sub-jective report and physiological measures of motivational valence and consummatory re-sponse tendencies were used as dependent variables.
The first experiment of this thesis used a differential conditioning paradigm to reveal evi-dence for the conditioning of preparatory and consummatory responses to a CS+ for smok-ing. Neutral pictograms served as CSs and single puffs on a cigarette as US. In line with the predictions of incentive theories, the excitatory CS+ for smoking acquired the ability to evoke an appetitive conditioned response, as indicated by enhanced activity of the M. zy-gomaticus major. Moreover, anticipation of puffing on the cigarette increased the activity of the M. orbicularis oris (lip muscle), indicating the activation of consummatory response tendencies. Finally, the CS+ evoked stronger skin conductance responses, indicative of in-creased autonomic arousal and orienting in preparation for action. In contrast, the rating data were apparently unaffected by the experimental contingency. In sum, the physiological data provide support for the notion that excitatory smoke conditioning gives rise to appeti-tive and consummatory conditioned responses, which may at least partially contribute to the maintenance of tobacco addiction.
The second experiment of this thesis adapted the conditioning protocol of the first study to probe the functional significance of terminal stimuli in the control of addictive behavior. This study manipulated the predictive relationship of BEGIN and END stimuli to smoke rein-forcement to provide further support for the differential reactivity to both stimuli and the retarded (i.e., delayed) conditioning of END stimuli. Overall, the results of the first study of this thesis were conceptually replicated as the association of a BEGIN stimulus with smoke intake resulted in the acquisition of appetitive and consummatory physiological responses. Importantly, the results revealed evidence for a retarded excitatory conditioning of END stimuli. Thus, pairing of an END stimulus with smoke intake failed to produce a conditioned discrimination in terms of motivational valence and autonomic arousal, as indicated by the activity of the M. corrugator supercilii and the skin conductance data. These results provide further support for the notion that END stimuli may be weak cues for smoking. Moreover, in light of the results of the first study of this thesis, the retarded excitatory conditioning of terminal stimuli may be suggestive of an inhibitory response component, which may be re-lated to their signaling of poor smoke availability. In sum, these results add to a growing body of data, which suggest that the expression of cue reactivity may be modulated by the temporal proximity and the availability of the drug effect.
The aim of the third study of this thesis was to provide “proof of concept” for an inhibi-tory conditioning notion of terminal stimuli. In this analog study BEGIN and END stimuli were emulated as discriminative SD and S for monetary reward. During an acquisition phase conditioned inhibition was established to the S predictive of the non-availability of re-ward. Subsequently a retardation test was used to substantiate conditioned inhibition. In this test, excitatory conditioning of the previous S was compared to the excitatory condi-tioning of a novel control stimulus. Importantly, the results revealed evidence for reward conditioned inhibition as indicated by the retarded acquisition of subjective (pleasure and reward expectancy) and physiological (skin conductance and activity of the M. orbicularis oculi) responses. In sum, these results provide support for the notion that stimuli predictive for the non-availability of reward may acquire the capacity to oppose the responses of ex-citatory conditioned stimuli. Thus, future research may benefit from the consideration of inhibitory conditioning processes in drug addiction, which may be of theoretical, methodo-logical and clinical importance.
In sum, the present thesis revealed evidence for 1) an appetitive nature of excitatory condi-tioned smoking cues, 2) the dependency of this learning process on the temporal position of the conditioned stimuli in the intake ritual and 3) the acquisition of conditioned inhibition by a stimulus predictive for the non-availability of reward, as evident in retarded excitatory conditioning. Overall, these studies made a novel contribution to the field of human drug addiction and incentive motivation and provided valuable suggestions for further research.
In this article, I argue for four theses. First, libertarian and compatibilist accounts of moral responsibility agree that the capability of practical reason is the central feature of moral responsibility. Second, this viewpoint leads to a reasons-focused account of human behavior. Examples of human action discussed in debates about moral responsibility suggest that typical human actions are driven primarily by the agent’s subjective reasons and are sufficiently transparent for the agent. Third, this conception of self-transparent action is a questionable idealization. As shown by psychological research on self-assessment, motivated reasoning, and terror management theory, humans oftentimes have only a limited understanding of their conduct. Self-deception is rather the rule than the exception. Fourth, taking the limited self-transparency of practical reason seriously leads to a socially contextualized conception of moral responsibility.
Generating information, compared to reading, improves learning and enhances long-term retention of the learned content. This so-called generation effect has been demonstrated repeatedly for recall and recognition of single words. However, before adopting generating as a learning strategy in educational contexts, conditions moderating the effect need to be identified. This study investigated the impact of positive and negative mood states on the generation effect with short expository texts. According to the dual-force framework (Fiedler, Nickel, Asbeck, & Pagel, 2003), positive mood should facilitate generation by enhancing creative knowledge-based top-down processing (assimilation). Negative mood, however, should facilitate learning in the read-condition by enhancing critical stimulus-driven bottom-up processing (accommodation). In contrast to our expectations, we found no general generation effect but an overall learning advantage of read compared to generated texts. However, a significant interaction of learning condition and mood indicates that learners in a better mood recall generated texts better than learners in a more negative mood, whereas no mood effect was found when the texts were read. The results of the present study partially support the predictions of the dual-force framework and are discussed in the context of recent theoretical approaches to the generation effect.
Nine hierarchical and four nonhierarchical clustering algorithms were compared on their ability to resolve 200 multivariate normal mixtures. The effects of coverage, similarity measures, and cluster overlap were studied by including different levels of coverage for the hierarchical algorithms, Euclidean distances and Pearson correlation coefficients, and truncated multivariate normal mixtures in the analysis. The results confirmed the findings of previous Monte Carlo studies on clustering procedures in that accuracy was inversely related to coverage, and that algorithms using correlation as the similarity measure were significantly more accurate than those using Euclidean distances. No evidence was found for the assumption that the positive effects of the use of correlation coefficients are confined to unconstrained mixture models.
This paper addresses the question of how the brain maintains a probabilistic body state estimate over time from a modeling perspective. The neural Modular Modality Frame (nMMF) model simulates such a body state estimation process by continuously integrating redundant, multimodal body state information sources. The body state estimate itself is distributed over separate, but bidirectionally interacting modules. nMMF compares the incoming sensory and present body state information across the interacting modules and fuses the information sources accordingly. At the same time, nMMF enforces body state estimation consistency across the modules. nMMF is able to detect conflicting sensory information and to consequently decrease the influence of implausible sensor sources on the fly. In contrast to the previously published Modular Modality Frame (MMF) model, nMMF offers a biologically plausible neural implementation based on distributed, probabilistic population codes. Besides its neural plausibility, the neural encoding has the advantage of enabling (a) additional probabilistic information flow across the separate body state estimation modules and (b) the representation of arbitrary probability distributions of a body state. The results show that the neural estimates can detect and decrease the impact of false sensory information, can propagate conflicting information across modules, and can improve overall estimation accuracy due to additional module interactions. Even bodily illusions, such as the rubber hand illusion, can be simulated with nMMF. We conclude with an outlook on the potential of modeling human data and of invoking goal-directed behavioral control.
In this article, we explain and demonstrate how to model norm scores with the cNORM package in R. This package is designed specifically to determine norm scores when the latent ability to be measured covaries with age or other explanatory variables such as grade level. The mathematical method used in this package draws on polynomial regression to model a three-dimensional hyperplane that smoothly and continuously captures the relation between raw scores, norm scores and the explanatory variable. By doing so, it overcomes the typical problems of classical norming methods, such as overly large age intervals, missing norm scores, large amounts of sampling error in the subsamples or huge requirements with regard to the sample size. After a brief introduction to the mathematics of the model, we describe the individual methods of the package. We close the article with a practical example using data from a real reading comprehension test.