Autistic characteristics in adults with epilepsy and perceived seizure activity.

UNLABELLED: The prevalence of autism spectrum disorders in epilepsy is approximately 15%-47%, with previous research by Wakeford and colleagues reporting higher autistic traits in adults with epilepsy. The aim of this study was to investigate autistic characteristics and their relationship to having seizures by employing two behavioral assessments in two samples: adults with epilepsy and controls. METHOD: The study employed the Social Responsiveness Scale - Shortened (SRS-S) (patients with epilepsy (n=76), control (n=19)) and the brief Repetitive Behavior Scale - Revised (RBS-R) (patients with epilepsy (n=47), control (n=21)). This study employed a unique method to quantify the extent to which autistic characteristics are related to perceived mild seizure activity. Adults with epilepsy were instructed to rate their usual behavior on each assessment and, at the same time, rate their behavior again when they perceived that they were having mild seizure activity. RESULTS: Significantly higher SRS-S scores were related to having a diagnosis of epilepsy and were perceived by adults with epilepsy to increase during mild seizure activity. These scores positively correlated with antiepileptic drug control. No difference was found for RBS-R scores in adults with epilepsy compared with controls. CONCLUSION: Together, these results suggest that adults with epilepsy have higher autistic characteristics measured by the social responsiveness scale, while sameness behaviors remain unimpaired. The autistic characteristics measured by the social responsiveness scale were reported by adults with epilepsy to be more severe during their mild seizure activity.

Autistic characteristics in adults with epilepsy.

INTRODUCTION: The reported prevalence of autism spectrum disorders in people with epilepsy ranges from 15% to 47%. Despite the high comorbidity, there has been a lack of systematic studies of autistic characteristics in epilepsy. Little is known about the relationship of epilepsy to the core characteristics of autism. The aim of this research was to measure autistic traits and characteristics in adults with epilepsy who do not have a diagnosis of any autism disorder. METHOD: We investigated autistic characteristics in adults with epilepsy and those without epilepsy employing the Autism Spectrum Quotient (group with epilepsy, n = 40; control group, n = 38) and systemizing and empathizing abilities employing the Intuitive Physics test and the Adult Eyes Task-Revised (group with epilepsy, n = 19; control group, n = 23). RESULTS: Significantly more autistic behavioral traits, as measured by the AQ, were related to having epilepsy, but intact systemizing and empathizing abilities in these adults suggest that, in adults with epilepsy, autism-like symptoms may be present in the absence of wider cognitive profiles characteristic of autism. CONCLUSION: Increased autistic characteristics found in adults with epilepsy without an ASD diagnosis suggest that epilepsy syndromes may incorporate behavioral aspects of autism in the absence of some of its core cognitive features.

An Empirical Evaluation of Methodologies Used for Emotion Recognition via EEG Signals.

A goal of brain-computer-interface (BCI) research is to accurately classify participants' emotional status via objective measurements. While there has been a growth in EEG-BCI literature tackling this issue, there exist methodological limitations that undermine its ability to reach conclusions. These include both the nature of the stimuli used to induce emotions and the steps used to process and analyze the data. To highlight and overcome these limitations we appraised whether previous literature using commonly used, widely available, datasets is purportedly classifying between emotions based on emotion-related signals of interest and/or non-emotional artifacts. Subsequently, we propose new methods based on empirically driven, scientifically rigorous, foundations. We close by providing guidance to any researcher involved or wanting to work within this dynamic research field.

Do Emotions Benefit Investment Decisions? Anticipatory Emotion and Investment Decisions in Non-professional Investors.

Increasing financial trading performance is big business. A lingering question within academia and industry concerns whether emotions improve or degrade trading performance. In this study, 30 participants distributed hypothetical wealth between a share (a risk) and the bank (paying a small, sure, gain) within four trading games. Skin Conductance Response was measured while playing the games to measure anticipatory emotion, a covert emotion signal that impacts decision-making. Anticipatory emotion was significantly associated with trading performance but the direction of the correlation was dependent upon the share's movement. Thus, anticipatory emotion is neither wholly "good" nor "bad" for trading; instead, the relationship is context-dependent. This is one of the first studies exploring the association between anticipatory emotion and trading behaviour using trading games within an experimentally rigorous environment. Our findings elucidate the relationship between anticipatory emotion and financial decision-making and have applications for improving trading performance in novice and expert traders.

Attentional bias in Internet users with problematic use of social networking sites.

BACKGROUND AND AIMS: Evidence from the field of addictive disorders suggests that attentional bias for stimuli related to a substance or activity of abuse (e.g., gambling) exacerbates the addictive behavior. However, evidence regarding attentional bias in PIU is sparse. This study aims to investigate whether individuals who express problematic tendencies toward social networking sites (SNS), a subtype of PIU, show attentional bias for stimuli associated with social media. METHODS: Sixty-five participants performed Visual Dot-Probe and Pleasantness Rating Tasks containing SNS-related and matched control images during eye movements were recorded, providing a direct measure of attention. Participants were assessed on their levels of SNS Internet use (ranging from problematic to non-problematic) and their levels of urges to be online (high vs. low). RESULTS: Problematic SNS users and, in particular, a subgroup expressing higher levels of urges to be online showed an attentional bias for SNS-related images compared to control images. CONCLUSION: These results suggest that attentional bias is a common mechanism associated with problematic Internet use as well as other addictive disorders.

Physiological markers of biased decision-making in problematic Internet users.

Background and aims Addiction has been reliably associated with biased emotional reactions to risky choices. Problematic Internet use (PIU) is a relatively new concept and its classification as an addiction is debated. Implicit emotional responses were measured in individuals expressing nonproblematic and problematic Internet behaviors while they made risky/ambiguous decisions to explore whether they showed similar responses to those found in agreed-upon addictions. Methods The design of the study was cross sectional. Participants were adult Internet users (N = 72). All testing took place in the Psychophysics Laboratory at the University of Bath, UK. Participants were given the Iowa Gambling Task (IGT) which provides an index of an individual's ability to process and learn probabilities of reward and loss. Integration of emotions into current decision-making frameworks is vital for optimal performance on the IGT and thus, skin conductance responses (SCRs) to reward, punishment, and in anticipation of both were measured to assess emotional function. Results Performance on the IGT did not differ between the groups of Internet users. However, problematic Internet users expressed increased sensitivity to punishment as revealed by stronger SCRs to trials with higher punishment magnitude. Discussion and conclusions PIU seems to differ on behavioral and physiological levels with other addictions. However, our data imply that problematic Internet users were more risk-sensitive, which is a suggestion that needs to be incorporated into in any measure and, potentially, any intervention for PIU.

Dopaminergic influences on executive function and impulsive behaviour in impulse control disorders in Parkinson's disease.

The development of impulse control disorders (ICDs) in Parkinson's disease (PD) may arise from an interaction among cognitive impairment, impulsive responding and dopaminergic state. Dopaminergic state may be influenced by pharmacologic or genotypic (catechol-O-methyltransferase; COMT) factors. We sought to investigate this interaction further by comparing those with (n = 35) and without (n = 55) ICDs on delay-discounting in different pharmacologic conditions (ON or OFF dopaminergic medication) and on response inhibition as well as aspects of executive functioning in the ON state. We then undertook an exploratory sub-group analysis of these same tasks when the overall PD group was divided into different allelic variants of COMT (val/val vs. met/met). A healthy control group (HC; n = 20) was also included. We found that in those with PD and ICDs, 'cognitive flexibility' (set shifting, verbal fluency, and attention) in the ON medication state was not impaired compared with those without ICDs. In contrast, our working memory, or 'cognitive focus', task was impaired in both PD groups compared with the HC group when ON. During the delay-discounting task, the PD with ICDs group expressed greater impulsive choice compared with the PD group without ICDs, when in the ON, but not the OFF, medication state. However, no group difference on the response inhibition task was seen when ON. Finally, the met homozygous group performed differently on tests of executive function compared with the val homozygous group. We concluded that the disparity in levels of impairment among different domains of executive function and impulsive decision-making distinguishes those with ICD in PD from those without ICD, and may in part be affected by dopaminergic status. Both pharmacologic and genotypic influences on dopaminergic state may be important in ICD.

Neural correlates of choice behavior related to impulsivity and venturesomeness.

Impulsivity has been associated with several psychiatric disorders including drug addiction and gambling. Impulsive subjects typically have a preference for short-term over long-term rewards and make risky choices. This study used functional magnetic resonance imaging (fMRI) to investigate the neural correlates of self-rated impulsivity and venturesomeness during tasks involving delayed and risky choice. A broader sampling approach was taken by recruiting participants with behaviors that have been linked to impulsivity (gambling N=15, and recreational drug use N=10) and those without these behaviors (N=9). Selection between delayed or probabilistic rewards was associated with activation in fronto-parietal regions in line with previous research. When selecting between delayed rewards, activity within the pregenual anterior cingulate cortex and ventrolateral prefrontal cortex correlated positively with impulsivity scores while activity within the orbitofrontal cortex, subgenual anterior cingulate cortex and caudate correlated positively with venturesomeness scores. Selection between probabilistic rewards revealed no correlation between scores and regional activations. The results from this study provide targets for future research investigating the neural substrates of impulsivity. They also provide targets for the further investigation into the pathophysiology of addiction and impulse-control disorders.

The effects of real versus hypothetical reward on delay and probability discounting.

Delay discounting and probability discounting tasks providing hypothetical rewards have commonly been used to measure levels of impulsivity and risk taking. Results have been inconsistent as to whether real, compared with hypothetical, rewards influence choice behaviour in delay discounting tasks. This experiment examined choice behaviour in 38 healthy individuals using delay and probability discounting tasks involving both real and hypothetical rewards (pound sterling 0.10/pound sterling 0.20), real delays, and probabilistic outcomes. It was hypothesized that choice behaviour when receiving real rewards would be less impulsive and less risky than when receiving hypothetical rewards. The tasks were designed so that a mathematical model (the multiplicative hyperbolic model of choice) could be applied to assess effects on discounting parameters. The provision of real rewards was associated with significantly decreased impulsive, but not risky, choice although the size of effect was small and was influenced by the order of presentation. Repeated presentation of both tasks increased quantity discounting but not delay or probability discounting parameters. These results indicate that the nature of the reward provided, and repetition effects, need to be taken into account when designing discounting studies.

Risk-taking behavior in a gambling task associated with variations in the tryptophan hydroxylase 2 gene: relevance to psychiatric disorders.

Decision making, choosing the best option from the possible outcomes, is impaired in many psychiatric conditions including affective disorders. We tested the hypothesis that variations in serotonergic genes (TPH2, TPH1, SLC6A4, HTR1A), which influence serotonin availability, affect choice behavior in a probabilistic gambling task. A population cohort (N=1035) completed a paper-and-pencil gambling task, filled out personality and symptom questionnaires and gave consent for the use of their DNA in a genetic association study. A subgroup of subjects (N=69) also completed a computer version of the task. The gambling task was designed to estimate an individual's tendency to take a risk when choosing between a smaller but more certain 'win' and a larger, less probable one. We genotyped seven haplotype tagging SNPs in the TPH2 gene, and previously reported functional polymorphisms from the other genes (rs1800532, 5HTTLPR, and rs6295). Carriers of the more prevalent TPH2 haplotype, which was previously associated with less active enzyme variant, showed reduced risk taking on both tasks compared with subjects not carrying the common haplotype. The effect of TPH2 haplotypes on risk-taking was independent of current depression and anxiety symptoms, neuroticism and impulsiveness scores. We did not find an association between functional polymorphisms in the TPH1, SLC6A4, HTR1A genes and risk-taking behavior. In conclusion, our study demonstrates the role of the TPH2 gene and the serotonin system in risk taking and suggests that TPH2 gene may contribute to the expression of psychiatric phenotypes through altered decision making.