Impulse Control Research Articles

Risk factors for the development of impulse control disorders in Mexican subjects with ParkinsonÓ?s disease

Risk factors for the development of impulse control disorders in Mexican subjects with ParkinsonÓ?s disease

Prolonged exertion of self-control causes increased sleep-like frontal brain activity and changes in aggressivity and punishment

Impulsive reactions in social interactions may result in poor or even detrimental outcomes. Particular cognitive states, such as mental fatigue induced by extended practice with cognitively demanding activities, especially if combined with sleep restriction or deprivation, seem to impair the individuals’ ability to exert self-control effectively and may result in impulsive behaviors, including aggressive acts. We demonstrate that exertion of self-control for as little as 45 min can lead to an increased propensity for engaging in aggressive acts in the context of socially relevant choices, as measured by a set of economic games. Also, we show that such behavioral changes are associated with increased sleep-like (delta) activity within frontal brain areas related to decision-making and impulse control. The local occurrence of sleep-like slow waves may lead to a disengagement of frontal areas and explain the reduced ability of individuals to exert self-control effectively. Our results suggest that sleep-like activity may emerge within the awake brain within a relatively short time scale, with detectable effects on socially relevant behavior.

Applying Cognitive Neuroscience to Juvenile Justice: The Role of Brain Development in Decision-Making

The intersection of cognitive neuroscience and juvenile justice offers profound insights into understanding the role of brain development in decision-making among adolescents. This research explores the implications of neurodevelopmental processes, particularly in the prefrontal cortex and limbic system, which govern impulse control, risk assessment, and emotional regulation. Adolescents are at a stage of heightened neuroplasticity, which significantly influences their cognitive and emotional responses. This study examines how these developmental factors impact their decision-making and susceptibility to external influences, such as peer pressure. By integrating neuroscientific findings with legal frameworks, the research highlights the importance of adopting rehabilitative over punitive approaches in juvenile justice systems. The findings underscore the need for tailored interventions and policies that account for the neurobiological underpinnings of adolescent behavior, fostering a balance between accountability and the opportunity for growth and rehabilitation.

Novelty Seeking in Parkinson’s Disease: A Candidate Biomarker for Cognitive Changes

Background: Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by motor impairments, cognitive decline, and affective changes. Beyond the well-described motor symptoms, neuropsychiatric symptoms play a crucial role in PD disability burden. Novelty seeking, a trait extensively studied within various models of personality, may influence the manifestation of these non-motor symptoms. Methods: A narrative review of articles determined relevant by the author(s) was undertaken. Results: The literature indicates that PD patients typically exhibit low novelty seeking initially. However, dopaminergic therapies can increase novelty-seeking behaviors, sometimes leading to impulse control disorders (ICD). Studies using the Temperament and Character Inventory (TCI) suggest a complex interplay between disease state, medication, and baseline personality, which is not fully elucidated. High novelty seeking scores predict a higher risk of ICDs, yet they also correlate with a more benign clinical phenotype and improved quality of life post-DBS surgery. Conclusions: Novelty seeking is a significant trait in PD, influencing non-motor symptoms and treatment responses. Understanding its neurobiological basis and clinical implications could lead to better diagnostic and therapeutic strategies through the use of objective, practical tools for disease monitoring, individualized therapy, and pharmacological development.

Variable impulsive bipartite coordination control of nonlinear systems with DoS attacks

Variable impulsive bipartite coordination control of nonlinear systems with DoS attacks

Self-Assessment of Impulsivity in Patients with Paranoid Schizophrenia in Exacerbation and Remission

Background: impaired impulse control is thought to be an important hallmark of schizophrenia, which is closely related to the dysfunction of many of the neurophysiological systems of the central nervous system characteristic of the disease. The presence of increased impulsivity requires special attention in view of the risks associated with it, both for the patients themselves and for society. Aim of the study: to assess the presence of signs of a significant level of impulsivity in self-reporting on the Barratt scale in patients with paranoid schizophrenia in a state of exacerbation and remission. Patients and Methods: the study included two groups of patients suffering from paranoid schizophrenia both in a state of sustained remission with residual psychotic symptoms and patients in a state of exacerbation. Control group: consisted of healthy subjects. To assess impulsivity, the Barratt scale, adapted to the Russian population, was used. Results: it turned out that in both groups of patients, increased impulsivity was detected in half of the cases (54% and 46%, respectively). In the control group, only 22% had such cases. There were no differences between the groups of patients. When analyzing the ratio of indicators on different subscales of the Barratt scale, no differences were found both between the groups and in comparison, with the control group. Conclusion: the results of the study suggest that impulsivity as an element of the clinical picture, which is found in the patient’s self-report, may be an informative sign that should be taken into account when forming a psychopharmacological treatment regimen and rehabilitation programs. The Barratt scale can be used in patients with schizophrenia in everyday practice.

Study on Pharmacological Treatment of Impulse Control Disorders in Parkinson’s Disease

Parkinson’s disease is neurodegenerative, and additionally, a percentage higher than 60% is represented by the patients with associated psychiatric symptoms, such as anxiety disorders and depression. Due to illness itself and to therapy secondary effects, there is a high risk for these patients to develop impulse control disorders like ICDs: compulsive shopping, pathological gambling binge eating disorder, and hypersexuality. There is high interest in therapy so as to diminish, as much as possible, the associated ICD symptoms. This article presents a study on pharmacological treatment of impulse control disorders in Parkinson disease carried on a sample of patients in hospitals where the authors have their clinical work. This study was carried on for a period of 6 years and is focused on research of different treatment plans. The patients were evaluated by the Hamilton Rating Scale. Statistical analysis of the obtained data (given by the HAM-A scores) is used for data processing. All patients showed a reduction in their impulse behavior. The directions of further research development are mentioned.

Impact of Smoking on Adolescents Development

This research investigates how smoking affects cognitive development in adolescents, emphasizing both the short-term and long-term consequences of nicotine on the brain. The research highlights the significant disruption caused by nicotine to critical brain regions such as the prefrontal cortex and hippocampus, which are essential for decision-making, impulse control, and memory retention. The incidence of smoking among adolescents, particularly the rise in e-cigarette use, is attributed to targeted marketing, affordability, and accessibility. These factors exacerbate the psychological and academic challenges faced by adolescents, linking smoking to issues such as depression, anxiety, and poor academic performance. The paper emphasizes the necessity of comprehensive educational programs, parental and community involvement, and stricter regulations to curb the use of tobacco products among young people. Future research directions include establishing a causal relationship between smoking and cognitive development, conducting longitudinal studies, and integrating mental health support with smoking prevention programs. By addressing these areas, the study aims to inform public health policies and promote healthier lifestyles among adolescents.

Maximum principle for partially observed risk-sensitive optimal control problem of McKean–Vlasov FBSDEs involving impulse controls

Maximum principle for partially observed risk-sensitive optimal control problem of McKean–Vlasov FBSDEs involving impulse controls

Neuroscientific Approaches to Understanding Adolescent Susceptibility to Substance Abuse

Adolescence is a pivotal developmental stage characterised by significant neurobiological changes that heighten susceptibility to substance abuse. This period is marked by the maturation of the brain regions responsible for decision-making and impulse control, alongside an increased sensitivity to rewards driven by dopaminergic pathways. This review aimed to understand adolescent susceptibility to substance abuse using a neuroscientific approach. In line with best practices, data were collected from a variety reliable source to ensure a comprehensive view of the topic. Research studies on adolescent neurodevelopment have contributed to a broader understanding of the physiological and psychological factors at play during adolescence, while grey literature, including expert interviews and focused group discussions, has offered practical insights from frontline professionals, such as psychologists, social workers, and healthcare providers, who deal directly with adolescent substance use. These results demonstrate that the relationship between genetic factors and environmental conditions, such as stress and trauma, intensifies this vulnerability, thereby heightening the likelihood of individuals participating in risky behaviours. This review examines the neuroscientific foundations of substance use during adolescence, highlighting the critical role of timely interventions that utilize neuroplasticity to enhance resilience and reduce risk. By integrating cognitive training and behavioural therapies into public health initiatives, adolescents' cognitive control mechanisms and their propensity for substance abuse can be reduced.

Structural projections to the nucleus accumbens link to impulsive components of human risk preference

Abstract Functional responses in the Nucleus Accumbens (NAcc) to risk- and reward-related cues can predict real-life risk-taking behavior. Since NAcc activity depends on neurotransmission from connected brain regions, projections to the NAcc may also predict risk preference. To quantify risk preference, we employed latent variables previously derived in a comprehensive, independent study examining the psychometric structure of risk preference, which yielded a general risk preference factor as well as several specific factors, including a factor capturing impulsivity. Informed by previous work, we preregistered a set of hypotheses concerning the association between different risk preference factors and fractional anisotropy (or FA, which is sensitive to fiber coherence) for projections to the NAcc from Medial PreFrontal Cortex (MPFC), Anterior Insula, Amygdala, and an inferior tract from the Ventral Tegmental Area (iVTA). We tested our hypotheses in a community sample of 125 healthy human adults. As predicted, bilateral iVTA-NAcc tract FA showed a negative correlation with a psychometric factor that captured impulsivity, generalizing findings from prior research. Also as predicted, FA of the bilateral Amygdala-NAcc tract was positively associated with the impulsivity factor. Contrary to predictions, however, we observed no robust associations between the general risk preference factor and FA for projections from bilateral MPFC, right Anterior Insula, or bilateral Amygdala to the NAcc. Notably, exploratory unilateral analyses revealed an association between the general risk preference factor and left MPFC-NAcc tract FA. Taken together, these findings suggest that impulse control as a facet of risk preference maps onto specific neurobiological targets, while more general facets of risk preference may be supported by structural properties of lateral fronto-striatal projections. Although the exact associated functional mechanisms remain to be fully clarified, conNAcctomic approaches like the one presented here could pave the way for further research into the physiological foundations of risk preference and related constructs.

Impulsive tracking synchronization control of networked robotic manipulator systems in the task space

This study investigates the impulsive tracking synchronization control of networked robotic manipulator systems based on Lagrangian systems. In the task space, the end-effector positions of networked robotic manipulators can synchronize and track a desired trajectory by designing an impulsive controller. Based on impulsive control, some algebraic synchronization criteria are derived. As a direct application of the theoretical results, tracking synchronization of six double-link robotic manipulators in the task space is discussed in detail. Numerical simulations are given to demonstrate the effectiveness and feasibility of the proposed control strategy.

Mild behavioural impairment in Parkinson’s disease: a systematic review

Abstract Behavioural symptoms are common manifestations of Parkinson’s disease (PD). Early behavioural symptoms characterise mild behavioural impairment (MBI). The prevalence and intensity of MBI in people with PD (PwP) have been studied across various cohorts. However, methodological differences have obscured our understanding of MBI in these individuals. This systematic review examines and synthesises findings from relevant studies, enhancing understanding of the symptoms and implications of MBI in PD. Nine studies from five separate research institutions were identified. The conceptualisation of MBI varied considerably, affecting the reported prevalence rates of MBI in individuals with early-stage PD. Among PwP, MBI was associated higher education and impaired cognition. Affective dysregulation and impulse control disorders were primary contributors to MBI; abnormal perception was least contributor. This systematic review underscores the specific characteristics and incidence of MBI in early-stage PD. Mood and impulse control disorders are primary concerns associated with MBI. Future longitudinal studies are required to clarify the progression of these symptoms and evaluate MBI’s potential as an indicator for PD-related dementia or increased dependency.

Active Impulsive Noise Control with Missing Input Data Based on FxImdMCC Algorithm

In this study, we address the challenge of noise reduction in environments characterized by impulsive noise and missing input data in active noise control (ANC) systems, where existing algorithms often fail to deliver satisfactory results. Background noise, especially impulsive noise, poses a significant obstacle to signal processing and noise reduction. Furthermore, data loss during transmission or acquisition further complicates the noise reduction task. In this paper, a filtered-x imputation of the missing data maximum correntropy criterion (FxImdMCC) algorithm is proposed based on an imputation model, least mean square, and the maximum correntropy criterion (MCC), which can effectively reduce the impact of outliers and missing input data. The simulation results demonstrate the efficacy of the proposed FxImdMCC algorithm, which significantly outperforms existing algorithms in the context of active impulsive noise control.

Exploring the cognitive effects of hearing loss in adult rats: Implications for visuospatial attention, social behavior, and prefrontal neural activity

Age-related hearing loss in humans has been associated with cognitive decline, though the underlying mechanisms remain unknown. We investigated the long-term effects of hearing loss on attention, impulse control, social interaction, and neural activity within medial prefrontal cortex (mPFC) subregions.Hearing loss was induced in adult rats via intracochlear neomycin injection (n = 13), with non-operated rats as controls (n = 10). Rats were tested for motor activity (open field), coordination (Rotarod), and social interaction (including ultrasonic vocalization, USV) before surgery and at weeks 1, 2, 4, 8, 16, and 24 post-surgery. From week 8 on, rats were trained in the five-choice serial reaction time task (5-CSRTT) to assess visuospatial attention and impulse control. Finally, oscillatory neuronal activity in mPFC subregions was recorded with multielectrode arrays during anesthesia, followed by immunohistological staining for NeuN+ and Parvalbumin+ cells.Deafened rats were more active than controls, whereas social interaction and USV were temporarily reduced. They also had difficulties to learn the concept of the 5-CSRTT paradigm and made more incorrect responses. Electrophysiology showed decreased power in theta, alpha, and beta frequency, and enhanced high gamma band in the mPFC in deafened rats, which was most pronounced in the cingulate subregion (Cg1). The number of NeuN+ and Parvalbumin+ cells, however, did not differ between groups.The behavioral deficits together with the altered neuronal activity found in the Cg1 subregion of the mPFC in adult deafened rats may be used as an endophenotype to elucidate the mechanisms behind the cognitive decline seen in older patients with hearing loss.

Finite-time synchronization of complex dynamic networks with impulsive control and actuator saturation: An LMI approach

This paper investigates the finite-time synchronization (FTS) of complex dynamic networks (CDNs) with impulsive control subject to actuator saturation. We develop a novel method that integrates the impulsive comparison principle and improved convex hull representation lemma of saturated function to derive LMI-based sufficient conditions for FTS, which are easy to verify. We also estimate the admissible set of initial values to ensure the validity of the lemma. Unlike previous work, we relax the monotonicity assumption on the Lyapunov function, which broadens our results’ applicability. Moreover, we formulate and solve an optimization problem to enlarge the admissible set under the LMI constraints, using YALMIP toolbox in MATLAB software. Finally, several numerical examples are proposed to demonstrate our results’ effectiveness and superiority.

Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control

This paper delves into the practical finite-time synchronization (FTS) problem for inertial neural networks (INNs) with external disturbances. Firstly, based on Lyapunov theory, the local practical FTS of INNs with bounded external disturbances can be realized by effective finite time control. Then, building upon the local results, we extend the synchronization to a global practical level under delayed impulsive control. By designing appropriate hybrid controllers, the global practical FTS criteria of disturbed INNs are obtained and the corresponding settling time is estimated. In addition, for impulsive control, the maximum impulsive interval is used to describe the frequency at which the impulses occur. We optimize the maximum impulsive interval, aiming to minimize impulses occurrence, which directly translates to reduced control costs. Moreover, by comparing the global FTS results for INNs without external disturbances, it can be found that the existence of perturbations necessitates either higher impulsive intensity or denser impulses to maintain networks synchronization. Two examples are shown to demonstrate the reasonableness of designed hybrid controllers.

Secure multi-synchronization of heterogeneous dynamical networks with deception attacks via event-triggered impulsive control

This article investigates the secure multi-synchronization control problem of the heterogeneous dynamical networks (DNs) subject to deception attacks (DAs). First of all, a heterogeneous DNs model under DAs is built. The deception attackers are assumed to inject false information into the sensor-to-controller channels and the controller-to-actuator channels. Then, the centralized and distributed event-triggered impulsive controllers (ETIC) are designed respectively for DNs subject to DAs to achieve secure multi-synchronization. The synchronization error converges to a bounded set dependent on the heterogeneity of networks and the total attack energy. In addition, the heterogeneous DNs without DAs under ETIC can achieve multi-synchronization. Finally, a numerical example is given to verify the correctness of the theoretical results.

Exponential Quasi-Synchronization of Fractional-Order Fuzzy Cellular Neural Networks via Impulsive Control

This paper investigates the exponential quasi-synchronization of fractional-order fuzzy cellular neural networks with parameters mismatch via impulsive control. Firstly, under the framework of the generalized Caputo fractional-order derivative, a new fractional-order impulsive differential inequality is established. Secondly, based on this fractional-order impulsive differential inequality, a general criterion for the quasi-synchronization of fractional-order systems is obtained. Then, specific to the fractional-order fuzzy cellular neural network model in this paper, the criteria and error estimation of the exponential quasi-synchronization of fractional-order fuzzy cellular neural networks can be obtained. Finally, two numerical examples are given to illustrate the effectiveness of the obtained results.

Clinical management model for impulse control disorders in Parkinson's disease.

Over the last decade, we have gained a better understanding of impulse control disorder in Parkinson's disease (PD-ICD), a medication complication in PD. Researchers were aware of its complexity and took efforts to learn more about its diagnostic and treatment possibilities. Nevertheless, clinical management for it is currently neglected. We conducted a narrative overview of literature published from 2012 to October 2023 on various aspects of clinical management for PD-ICD. A potential "susceptibility-catalytic-stress" model in the development of PD-ICD was proposed and a profile encoding predictors for PD-ICD was created. Based on these predictors, some methods for prediction were recently developed for better prediction, such as the polymorphic dopamine genetic risk score and the clinic-genetic ICD-risk score. A variety of treatment options, including dose reduction of dopamine receptor agonists (DAs), DAs removal, DAs switch, and add-on therapy, are investigated with inconsistent reports. Based on current findings, we developed a clinical management model prototype centered on prevention, consisting of prediction, prevention, follow-up and monitoring, therapy, and recurrence prevention, for clinical reference, and further proposed 4 key clinical management principles, including standardization, prediction centered, persistence, and whole course.