scholarly journals A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings

2021 ◽  
Author(s):  
Erdem Pulcu ◽  
Calum Guinea ◽  
Philip J. Cowen ◽  
Susannah E. Murphy ◽  
Catherine J. Harmer
Keyword(s):  
Decision Making ◽  
Nmda Receptor Antagonist ◽  
Daily Activities ◽  
Subcortical Structure ◽  
Evolutionarily Conserved ◽  
Neural Underpinnings ◽  
Cardinal Symptom ◽  
Pronounced Reduction ◽  
Human Neuroimaging ◽  
Antidepressant Action

AbstractAnhedonia, a pronounced reduction in interest or pleasure in any of life’s daily activities, is a cardinal symptom of major depression. In this Perspective article, we synthesise the recent evidence from rodent, monkey and human neuroimaging literature to highlight how the habenula, a small evolutionarily conserved subcortical structure located in the midbrain, may orchestrate the behavioural expression of anhedonia across fronto-mesolimbic networks. We then review how this circuitry can be modulated by ketamine, an NMDA receptor antagonist with rapid antidepressant properties. We propose that experimental paradigms founded in reinforcement learning and value-based decision-making can usefully probe this network and thereby help elucidate the mechanisms underlying ketamine’s rapid antidepressant action.

scholarly journals Shifting uncertainty intolerance: methylphenidate and attention-deficit hyperactivity disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alekhya Mandali ◽  
Arjun Sethi ◽  
Mara Cercignani ◽  
Neil A. Harrison ◽  
Valerie Voon
Keyword(s):  
Decision Making ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Computational Models ◽  
Risky Choice ◽  
Risk Tolerance ◽  
Healthy Population ◽  
Hyperactivity Disorder ◽  
Risky Choices ◽  
Cardinal Symptom

AbstractRisk evaluation is a critical component of decision making. Risk tolerance is relevant in both daily decisions and pathological disorders such as attention-deficit hyperactivity disorder (ADHD), where impulsivity is a cardinal symptom. Methylphenidate, a commonly prescribed drug in ADHD, improves attention but has mixed reports on risk-based decision making. Using a double-blinded placebo protocol, we studied the risk attitudes of ADHD patients and age-matched healthy volunteers while performing the 2-step sequential learning task and examined the effect of methylphenidate on their choices. We then applied a novel computational analysis using the hierarchical drift–diffusion model to extract parameters such as threshold (‘a’—amount of evidence accumulated before making a decision), drift rate (‘v’—information processing speed) and response bias (‘z’ apriori bias towards a specific choice) focusing specifically on risky choice preference. Critically, we show that ADHD patients on placebo have an apriori bias towards risky choices compared to controls. Furthermore, methylphenidate enhanced preference towards risky choices (higher apriori bias) in both groups but had a significantly greater effect in the patient population independent of clinical scores. Thus, methylphenidate appears to shift tolerance towards risky uncertain choices possibly mediated by prefrontal dopaminergic and noradrenergic modulation. We emphasise the utility of computational models in detecting underlying processes. Our findings have implications for subtle yet differential effects of methylphenidate on ADHD compared to healthy population.

Patient- and Clinician-Rated Outcome Measures for Clinical Decision Making in Rehabilitation

2011 ◽  
Vol 20 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Lori A. Michener
Keyword(s):  
Decision Making ◽  
Outcome Measures ◽  
Program Development ◽  
Treatment Program ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Daily Activities ◽  
Outcomes Of Care ◽  
Injury Patient ◽  
The Impact

Outcome measures can be classified as clinician rated and patient rated. Clinician-rated measures predominantly assess impairments, whereas patient-rated measures, also known as patient-based measures, are designed to evaluate the impact of the injury on a patient’s daily activities, work, and recreation. Currently, there is a greater reliance on clinician-rated impairment measures for clinical decision making, specifically with treatment planning and assessing outcomes of care. To comprehensively evaluate the effect of an injury, patient-rated outcome measures must be used because they allow for the assessment of a patient’s ability to perform daily activities and participate in work and recreation that is affected by an injury. Clinician-rated impairment measures should be used to guide the development of a treatment program, and patient-rated measures should be used for both treatment-program development and assessing treatment outcomes in daily clinical practice. The purposes of this article are to describe patient- and clinician-rated outcome measures and to provide guidance and illustrate the benefits of the use of these measures in clinical decision making and documenting outcomes of care.

scholarly journals Recent advances in understanding the role of the basal ganglia

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 122 ◽  
Author(s):  
Kristina Simonyan
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Basal Ganglia ◽  
Procedural Learning ◽  
Voluntary Movements ◽  
Subcortical Structure ◽  
Functional Importance ◽  
Motor Behaviors ◽  
Simultaneous Inhibition

The basal ganglia are a complex subcortical structure that is principally involved in the selection and implementation of purposeful actions in response to external and internal cues. The basal ganglia set the pattern for facilitation of voluntary movements and simultaneous inhibition of competing or interfering movements. In addition, the basal ganglia are involved in the control of a wide variety of non-motor behaviors, spanning emotions, language, decision making, procedural learning, and working memory. This review presents a comparative overview of classic and contemporary models of basal ganglia organization and functional importance, including their increased integration with cortical and cerebellar structures.

scholarly journals The value of what’s to come: neural mechanisms coupling prediction error and reward anticipation

2019 ◽  
Author(s):  
Kiyohito Iigaya ◽  
Tobias U. Hauser ◽  
Zeb Kurth-Nelson ◽  
John P. O’Doherty ◽  
Peter Dayan ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Seeking ◽  
Brain Activity ◽  
Well Being ◽  
Brain Regions ◽  
Functional Coupling ◽  
Hippocampal Activity ◽  
Neural Underpinnings ◽  
To Come ◽  
Human Participants

Having something to look forward to is a keystone of well-being. Anticipation of a future reward, like an upcoming vacation, can often be more gratifying than the very experience itself. Theories of anticipation have described how it induces behaviors ranging from beneficial information-seeking through to harmful addiction. However, it remains unclear how neural systems compute an attractive value from anticipation, instead of from the reward itself. To address this gap, we administered a decision-making task to human participants that allowed us to analyze brain activity during receipt of information predictive of future pleasant outcomes. Using a computational model of anticipatory value that captures participants’ decisions, we show that an anticipatory value signal is orchestrated by influences from three brain regions. Ventromedial prefrontal cortex (vmPFC) tracks the value of anticipation; dopaminergic midbrain responds to information that enhances anticipation, while sustained hippocampal activity provides a functional coupling between these regions. This coordinating function of the hippocampus is consistent with its known role in episodic future thinking. Our findings shed new light on the neural underpinnings of anticipation’s influence over decision-making, while also unifying a range of phenomena associated with risk and time-delay preference.

scholarly journals Genetic and neural relationships underpinning impulsivity

2013 ◽  
Vol 6 ◽  
pp. 80-93 ◽  
Author(s):  
Nichol Wong ◽  
Tatia Lee
Keyword(s):  
Decision Making ◽  
Psychological Functioning ◽  
Future Research ◽  
Social Psychological ◽  
Genetic Studies ◽  
Neural Underpinnings ◽  
Clinical Conditions ◽  
The Impact ◽  
Insight Into ◽  
The Continuum

Impulsivity refers to acting without forethought. It can be detrimental to daily social functioning and interaction, and is significantly implicated in several clinical conditions, e.g. violence and addiction. Evidence for the neural underpinnings of impulsivity from both healthy and clinical populations, integrated with the findings from genetic studies on the same topic, lend important insight into a neurobehavioral model of impulsivity. In this review, disinhibition and impulsive decision-making in the impulsivity construct are covered. Recent behavioral and imaging-genetic studies on the topic will also be reviewed and discussed. Findings from neuroimaging studies, clinical studies, and genetic studies converge to provide a better understanding of individual differences on the continuum. Future research efforts should continue to focus on the association approach to identify relevant neural-behavioral correlations in order for elucidating the impact from genes through neural to behavioral phenotypes. These potential findings, when being incorporated with physiological and immunological measures, would not only hasten understanding of impulsivity, but guide interventions development for ameliorating maladaptive social/psychological functioning disorders underpinned by it.

scholarly journals Um diagnóstico sobre a adoção de sistemas de informação nas atividades dos artesãos da Paraíba

2019 ◽  
Vol 1 (45) ◽  
pp. 140
Author(s):  
Izabele Cristina Linhares de Ariete ◽  
Adriana Moura Beserra de Santana ◽  
Madony Araújo Lima ◽  
Viviane Rodrigues da Silva ◽  
Ramon Leonn Victor Medeiros
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Digital Media ◽  
The State ◽  
Daily Activities ◽  
Access To Information ◽  
Digital Education ◽  
Methodological Strategy

The Information Systems have great importance to support the processes of any business, establishing control in the operations and aiding in the decision making. Within this scope, this study aims to contribute with the assumption that the craftman entrepreneur should use information systems to have more control over his activities. Thus, the objective is to diagnose the knowledge about information systems in the professional reality of the craftman entrepreneurs of the state of Paraíba. As for the methodological strategy, questionnaires were applied to craftman who were present at the XXIII Craft Fair of Paraíba. The research made it possible to verify that most artisans do not have the qualification to use digital media, a digital education is required, it is also essential to provide means for access to information and tools that assist in the management of projects, even if in a simplified way , improving thus, the performance of the daily activities of these artisans.

scholarly journals Neural underpinnings of maladaptive decision-making in addictions

2018 ◽  
Vol 164 ◽  
pp. 84-98 ◽  
Author(s):  
Zoe Guttman ◽  
Scott J. Moeller ◽  
Edythe D. London
Keyword(s):  
Decision Making ◽  
Neural Underpinnings

PERFORMANCE EVALUATION OF DIFFERENT WEIGHTING SCHEMES ON KNN-BASED EMOTION RECOGNITION IN MANDARIN SPEECH

2007 ◽  
Vol 04 (04) ◽  
pp. 339-346
Author(s):  
TSANG-LONG PAO ◽  
YUN-MAW CHENG ◽  
YU-TE CHEN ◽  
JUN-HENG YEH
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Weighting Function ◽  
Performance Measure ◽  
Daily Activities ◽  
Rational Decision ◽  
Emotional Speech ◽  
Weighting Functions ◽  
Rational Decision Making ◽  
Knn Classifier

Since emotion is important in influencing cognition, perception of daily activities such as learning, communication and even rational decision-making, it must be considered in human-computer interaction. In this paper, we compare four different weighting functions in weighted KNN-based classifiers to recognize five emotions, including anger, happiness, sadness, neutral and boredom, from Mandarin emotional speech. The classifiers studied include weighted KNN, weighted CAP, and weighted D-KNN. We use the result of traditional KNN classifier as the line performance measure. The experimental results show that the used Fibonacci weighting function outperforms others in all weighted classifiers. The highest accuracy achieves 81.4% with weighted D-KNN classifier.

scholarly journals The Logic of Inference and Decision for Scientific Evidence

2021 ◽  
pp. 251-266
Author(s):  
Franco Taroni ◽  
Silvia Bozza ◽  
Alex Biedermann
Keyword(s):  
Decision Making ◽  
Scientific Evidence ◽  
Decision Makers ◽  
Daily Activities ◽  
Decision Making Under Uncertainty ◽  
Forensic Evidence ◽  
Probative Value ◽  
Preference Structures ◽  
Forensic Scientists

Uncertainty is an inevitable complication encountered by members of the judiciary who face inference and decision-making as core aspects of their daily activities. Inference, in this context, is mainly inductive and relates to the use of incomplete information, to reason about propositions of interest. Applied to scientific evidence, this means, for example, to reason about whether or not a person of interest is the source of a recovered evidential material and factfinders are required to make decisions about ultimate issues, for example, regarding a defendant’s guilt. The role of forensic scientists, whose duty is to help assess the probative value of scientific findings, is to offer to mandate authorities’ conclusions that are scientifically sound and logically defensible. This chapter lays out the fundamentals of inference and decision-making under uncertainty with regard to forensic evidence. The authors explicate explain the subjectivist version of Bayesianism and analyze the usefulness of the likelihood ratio in for measuring the degree to which the evidence discriminates between competing propositions in a trial. They also underscore emphasize the importance of decision analysis as a framework that forces helps decision-makers to formalize preference structures.

Sign in / Sign up

Export Citation Format

Share Document