Mood moderates the effects of prefrontal tDCS on executive functions: A meta-analysis testing the affective state-dependency hypothesis.

BACKGROUND: In recent decades, numerous studies have investigated the effects of transcranial direct current stimulation (tDCS) on cognitive functioning. However, results of these studies frequently display inconsistency and pose challenges regarding replicability. The present work aimed at testing the hypothesis of mood as potential moderator of prefrontal tDCS effects on executive functions (EF). This hypothesis refers to the relationship between mood and EF, as well as to the association of mood with the dorsolateral prefrontal cortex (dlPFC) activity. METHODS: We conducted a meta-analysis of 11 articles where the dlPFC was stimulated with anodal tDCS, EF were measured, and mood was assessed prior to the stimulation. We then conducted a meta-regression to examine whether mood moderated the tDCS effects on EF. RESULTS: While no significant effect of tDCS on EF emerged from the meta-analysis, the meta-regression indicated that mood plays a significant role as moderator, with greater tDCS effects on EF in individuals with higher depressive symptoms. LIMITATIONS: The limited number of studies included, the heterogeneous samples considered, and the limited generalizability to other non-invasive brain stimulation techniques and affective states. CONCLUSIONS: Findings suggest that evaluating mood prior to stimulation could increase the sensitivity and specificity of tDCS application, and provide the first meta-analytic evidence in favor of the affective state-dependency hypothesis.

Identifying the Basic Dimensions of Medication-Triggered Impulsive Compulsive Behaviours in Parkinson's Disease.

BACKGROUND: This review article integrates findings from published behavioural and neuroimaging studies of impulsive-compulsive behaviours (ICBs) in Parkinson's disease, with the aim of identifying the basic correlates of these problematic and distressing behaviours. The underlying premise is that for any feature to be a reliable marker of ICBs, it should be evident across multiple levels of analyses. When changes are evident only at one level, but not in the others, their reliability as indicators of ICBs should be questioned. SUMMARY: To this end, we draw on the conclusions from three published systematic reviews of dopamine metabolic processes in the striatum, functional magnetic resonance imaging and cognitive, affective, and motivational assessments of medicated Parkinson's patients with and without ICBs (ICB+ and ICB-, respectively). The key findings are as follows: ICB+ showed abnormal dopaminergic of the striatum, including the brain network supporting reward processing. Fronto-striatal connectivity was also reduced. These findings are consistent with the broader evidence of psychological dysfunction, evident on assessments of cognitive control (goal-driven behaviour, impulsivity), reward-driven decision-making (temporal discounting, gambling), and elevated rates of self-report negative affect (anxiety, depression, anhedonia). The implications of these findings are discussed with reference to the research domain criteria and, relatedly, directions for future research. KEY MESSAGES: The identification of markers of ICB that allow early diagnosis, monitoring, and optimisation of therapy is an ambitious goal. And whilst we have pulled together a number of convergent findings identified using different paradigms, we are still some distance off understanding the mechanism(s) that increase vulnerability to ICB. It is our hope that this review spurs future studies to further investigate the interaction between motivation and cognition with the twin aims of identifying markers of ICB that have both clinical utility and function as outcome measures in therapeutic clinical trials.

A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research.

INTRODUCTION: The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The review investigated which TF effect (e.g., theta-band power), and ERP component (e.g., N400) was most consistently reflective of self-reported preference. Machine-learning prediction also investigated, along with the use of EEG when combined with physiological measures such as eye-tracking. METHODS: Search terms 'neuromarketing' and 'consumer neuroscience' identified papers that used EEG measures. Publications were excluded if they were primarily written in a language other than English or were not published as journal articles (e.g., book chapters). 174 papers were included in the present review. RESULTS: Frontal alpha asymmetry (FAA) was the most reliable TF signal of preference and was able to differentiate positive from negative consumer responses. Similarly, the late positive potential (LPP) was the most reliable ERP component, reflecting conscious emotional evaluation of products and advertising. However, there was limited consistency across papers, with each measure showing mixed results when related to preference and purchase behaviour. CONCLUSIONS AND IMPLICATIONS: FAA and the LPP were the most consistent markers of emotional responses to marketing stimuli, consumer preference and purchase intention. Predictive accuracy of FAA and the LPP was greatly improved through the use of machine-learning prediction, especially when combined with eye-tracking or facial expression analyses.

Anxiety predicts impulsive-compulsive behaviours in Parkinson's disease: Clinical relevance and theoretical implications.

Patients with Parkinson's disease (PD) often present symptoms of anxiety, depression and apathy. These negative affect manifestations have been recently associated with the presence of impulsive compulsive behaviours (ICBs). However, their relation with the use of dopamine replacement therapy (DRT), a renewed risk factor for ICBs, is still not fully understood. Elucidating the role of these different ICBs predictors in PD could inform both prevention/intervention recommendations as well as theoretical models. In the present study, we have analysed data collected in 417 PD patients, 50 patients with Parkinsonian symptoms but with scan without evidence of dopaminergic deficit (SWEDD), and 185 healthy controls (HC). We examined each patient's clinical profile over a two-year time window, investigating the role of both negative affect and DRT on ICBs. Results confirmed the presence of higher levels of anxiety in both the clinical groups, and of higher level of ICBs in SWEDD patients, respect to both PD and HC. Mixed model analyses revealed a statistically significant association between anxiety and ICBs in the SWEDD patients who did not take any DRT. Findings suggest the independence between anxiety and DRT in ICBs development, and provide new evidence for the motivational opponency theoretical framework.