Cognitive Neuroscience Literature Research Articles

Neural correlates of metacognition impairment in opioid addiction

Individuals with substance use disorder show impaired self-awareness of ongoing behavior. This deficit suggests problems with metacognition, operationalized in the cognitive neuroscience literature as the ability to monitor and evaluate the success of one's own cognition and behavior. However, the neural mechanisms of metacognition have not been characterized in a drug-addicted population. Community samples of participants with opioid use disorder (OUD) (N=27) and healthy controls (N=29) performed a previously-validated fMRI metacognition task (perceptual decision-making task along with confidence ratings of performance). Measures of recent drug use and addiction severity were also acquired. Individuals with OUD had lower metacognitive sensitivity than controls (i.e., disconnection between task performance and task-related confidence). Trial-by-trial analyses showed that this overall group difference was driven by (suboptimally) low confidence in OUD during correct trials. In fMRI analyses, the task engaged an expected network of brain regions (e.g., rostrolateral prefrontal cortex and dorsal anterior cingulate/supplementary motor area, both previously linked to metacognition); group differences emerged in a large ventral anterior cluster that included the medial and lateral orbitofrontal cortex and striatum (higher activation in OUD). Trial-by-trial fMRI analyses showed group differences in rostrolateral prefrontal cortex activation, which further correlated with metacognitive behavior across all participants. Exploratory analyses suggested that the behavioral and neural group differences were exacerbated by recent illicit opioid use and unexplained by general cognition. With confirmation and extension of these findings, metacognition and its associated neural circuits could become new, promising therapeutic targets in addiction.

The double empathy problem: A derivation chain analysis and cautionary note.

Work on the "double empathy problem" (DEP) is rapidly growing in academic and applied settings (e.g., clinical practice). It is most popular in research on conditions, like autism, which are characterized by social cognitive difficulties. Drawing from this literature, we propose that, while research on the DEP has the potential to improve understanding of both typical and atypical social processes, it represents a striking example of a weak derivation chain in psychological science. The DEP is poorly conceptualized, and we find that it is being conflated with many other constructs (i.e., reflecting the "jingle-jangle" fallacy). We provide examples to show how this underlies serious problems with translating theoretical claims into empirical predictions and evidence. To start tackling these problems, we propose that DEP research needs reconsideration, particularly through a better synthesis with the cognitive neuroscience literature on social interaction. Overall, we argue for a strengthening of the derivation chain pertaining to the DEP, toward more robust research on (a)typical social cognition. Until then, we caution against the translation of DEP research into applied settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Manifestations, social impact, and decay of conceptual beliefs: A cultural perspective.

Believing comprises multifaceted processes that integrate information from the outside world through meaning-making processes with personal relevance. Qualitative Review of the current literature in social cognitive neuroscience. Although believing develops rapidly outside an individual's conscious awareness, it results in the formation of beliefs that are stored in memory and play an important role in determining an individual's behavior. Primal beliefs reflect an individual's experience of objects and events, whereas conceptual beliefs are based on narratives that are held in social groups. Conceptual beliefs can be about autobiographical, political, religious, and other aspects of life and may be encouraged by participation in group rituals. We hypothesize that assertions of future gains and rewards that transcend but are inherent in these codices provide incentives to follow the norms and rules of social groups. The power of conceptual beliefs to provide cultural orientation is likely to fade when circumstances and evidence make it clear that what was asserted no longer applies.

The effects of experiment duration and supertrial analysis on EEG classification methods.

Bharadwaj et al. [1] present a comments paper evaluating the classification accuracy of several state-of-the-art methods using EEG data averaged over random class samples. According to the results, some of the methods achieve above-chance accuracy, while the method proposed in [2], that is the target of their analysis, does not. In this rebuttal, we address these claims and explain why they are not grounded in the cognitive neuroscience literature, and why the evaluation procedure is ineffective and unfair.

CONcreTEXT norms: Concreteness ratings for Italian and English words in context.

Concreteness is a fundamental dimension of word semantic representation that has attracted more and more interest to become one of the most studied variables in the psycholinguistic and cognitive neuroscience literature in the last decade. Concreteness effects have been found at both the brain and the behavioral levels, but they may vary depending on the constraints of the context and task demands. In this study, we collected concreteness norms for English and Italian words presented in different context sentences to allow better control and manipulation of concreteness in future psycholinguistic research. First, we observed high split-half correlations and Cronbach's alpha coefficients, suggesting that our ratings were highly reliable and can be used in Italian- and English-speaking populations. Second, our data indicate that the concreteness ratings are related to the lexical density and accessibility of the sentence in both English and Italian. We also found that the concreteness of words in isolation was highly correlated with that of words in context. Finally, we analyzed differences between nouns and verbs in concreteness ratings without significant effects. Our new concreteness norms of words in context are a valuable source of information for future research in both the English and Italian language. The complete database is available on the Open Science Framework (doi: 10.17605/OSF.IO/U3PC4).

Will the real resource theory please stand up! Vigilance is a renewable resource and should be modeled as such

The vigilance decrement or decline in signal detection performance with time on task is one of the most reliable findings in the cognitive neuroscience and psychology literatures. The majority of theories proposed to explain the decrement are limited cognitive or attention resource based theories; the central nervous system is a limited capacity processor. The decrement in performance is then due to resource reallocation (or misallocation), resource depletion or some combination of both mechanisms. The role of resource depletion, in particular, is hotly debated. However, this may be due to a lack of understanding of the renewable nature of the vigilance resources and how this renewal process impacts performance during vigilance tasks. In the present paper, a simple quantitative model of vigilance resource depletion and renewal is described and shown to generate performance data similar to results seen in both humans and spiders. This model clarifies the role resource depletion and resource renewal may play in vigilance in both people and other animals.

Reinterpretation of the Dimensions of the McBane Empathy Scale (1995) through Neuroscience

Empathy has been measured in several fields, such as psychology, marketing and sales force, which is why several scales have been developed. The contradictory effects of empathy on sales performance are partly attributed to the conceptualisation of empathy as a one-dimensional, bi-dimensional or multi-dimensional construct. This research aims to contribute to this debate by drawing on a review of the cognitive neuroscience literature and the contributions of the biomarketing paradigm to explain the neurochemical and neuroanatomical processes of empathy. we will focus our attention on the study of the scale of empathy proposed by McBane (1995). This neurological corroboration leads us to consider that empathy is composed of both the affective and cognitive dimensions and that emotional contagion is not a third dimension of empathy, but constitutes the phylogenetic basis of affective empathy. These neurochemical and neuroanatomical corroborations fundamentally reconfirm the number of dimensions proposed by McBane (1995) and constitute a solid theoretical groundwork that paves the way for future empirical research.

A Novel Hybrid Deep Neural Network for Predicting Athlete Performance Using Dynamic Brain Waves

The exploration of the performance of elite athletes by cognitive neuroscience as a research method has become an emerging field of study in recent years. In the research of cognitive abilities and athletic performance of elite athletes, the tasks of an experiment are usually performed by athletics task of closed skills rather than open skills. Thus, little has been conducted to explore the cognitive abilities and athletic performance of elite athletes with open skills. This study is novel as it attempts at predicting how table tennis athletes perform by collecting their dynamic brain waves when executing specific plays of table tennis, and then putting the data of dynamic brain waves to deep neural network algorithms. The method of this study begins with the collection of data on the dynamic brain waves of table tennis athletes and then converts the time domain data into frequency domain data before improving the accuracy of categorization using a hybrid convolutional neural networks (CNN) framework of deep learning. The findings hereof were that the algorithm of hybrid deep neural networks proposed herein was able to predict the sports performance of athletes from their dynamic brain waves with an accuracy up to 96.70%. This study contributes to the literature in cognitive neuroscience on dynamic brain waves in open skills and creates a novel hybrid deep CNN classification model for identifying dynamic brain waves associated with good elite sports performance.

Autoconsciência em pesquisa: dos constituintes funcionais aos modelos de investigação

Abstract Objective The present theoretical study aimed to describe the functionalist origins of self-awareness construct and its importance in grounding an empirical investigation agenda within psychological scientific literature. Method We first conceptually analyzed William James definitions for self-related processes and then examined its repercussion for empirical self-awareness research in personality and cognitive neuroscience literature. Results Initial challenges of the field to put forward investigations that encompassed both dispositional and situational aspects of self-awareness were found. Moreover, progress observed in different trends of self-awareness investigation, in the last 20 years, were approached in its connection to technological advances evidenced in science. Conclusion The need for more integration between different levels of evidence and research fields are discussed as a mean to build an effective full understanding of self-awareness.

A second-order adaptive mental network model relating dreaming to creativity

This paper introduces a novel controlled adaptive mental causal network model addressing how dreams overnight can influence creativity in waking life. The network model depicts in a causal, dynamic, and generic manner which adaptive mental processes underlie the connection between dreams and creativity and is shown to be validated with the existing cognitive neuroscience literature.

Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools

As the global burden of dementia continues to plague our healthcare systems, efficient, objective, and sensitive tools to detect neurodegenerative disease and capture meaningful changes in everyday cognition are increasingly needed. Emerging digital tools present a promising option to address many drawbacks of current approaches, with contexts of use that include early detection, risk stratification, prognosis, and outcome measurement. However, conceptual models to guide hypotheses and interpretation of results from digital tools are lacking and are needed to sort and organize the large amount of continuous data from a variety of sensors. In this viewpoint, we propose a neuropsychological framework for use alongside a key emerging approach—digital phenotyping. The Variability in Everyday Behavior (VIBE) model is rooted in established trends from the neuropsychology, neurology, rehabilitation psychology, cognitive neuroscience, and computer science literature and links patterns of intraindividual variability, cognitive abilities, and everyday functioning across clinical stages from healthy to dementia. Based on the VIBE model, we present testable hypotheses to guide the design and interpretation of digital phenotyping studies that capture everyday cognition in vivo. We conclude with methodological considerations and future directions regarding the application of the digital phenotyping approach to improve the efficiency, accessibility, accuracy, and ecological validity of cognitive assessment in older adults.

Emotion or Evaluation: Cultural Differences in the Parental Socialization of Moral Judgement.

Moral reasoning develops rapidly in early childhood. Recent evidence from cognitive neuroscience literature suggests that the development of moral reasoning is supported by an integration of cognitive and affective components. However, the role of culture in the development of moral reasoning in young children is under-investigated. Previous cross-cultural research suggests that culture shapes how people interpret other’s behaviors. In particular, people raised in independent cultures, such as the United States, tend to form impressions of others and attribute others’ behaviors to their personal dispositions more quickly than people raised in interdependent cultures, such as Japan. In the present cross-cultural study, we examined parents’ discourse with children in Japan and the United States. Parents and their 3- to 4-year-old children were asked to view and discuss cartoon characters depicting prosocial and antisocial acts. Results indicated that in both cultures, parents discussed about moral actions (e.g., helping, harming) of characters. Furthermore, United States parents were more likely to evaluate dispositional characteristics of characters based on their pro-social and anti-social acts, whereas Japanese parents were more likely to refer to emotion of the characters who got hurt. We discuss implications of cross-cultural differences and similarities in parental moral socialization and the development of moral reasoning in young children.

A theory of consciousness from a theoretical computer science perspective: Insights from the Conscious Turing Machine

This paper examines consciousness from the perspective of theoretical computer science (TCS), a branch of mathematics concerned with understanding the underlying principles of computation and complexity, including the implications and surprising consequences of resource limitations. We propose a formal TCS model, the Conscious Turing Machine (CTM). The CTM is influenced by Alan Turing's simple yet powerful model of computation, the Turing machine (TM), and by the global workspace theory (GWT) of consciousness originated by cognitive neuroscientist Bernard Baars and further developed by him, Stanislas Dehaene, Jean-Pierre Changeux, George Mashour, and others. Phenomena generally associated with consciousness, such as blindsight, inattentional blindness, change blindness, dream creation, and free will, are considered. Explanations derived from the model draw confirmation from consistencies at a high level, well above the level of neurons, with the cognitive neuroscience literature.

Music in the brain.

Music is ubiquitous across human cultures - as a source of affective and pleasurable experience, moving us both physically and emotionally - and learning to play music shapes both brain structure and brain function. Music processing in the brain - namely, the perception of melody, harmony and rhythm - has traditionally been studied as an auditory phenomenon using passive listening paradigms. However, when listening to music, we actively generate predictions about what is likely to happen next. This enactive aspect has led to a more comprehensive understanding of music processing involving brain structures implicated in action, emotion and learning. Here we review the cognitive neuroscience literature of music perception. We show that music perception, action, emotion and learning all rest on the human brain's fundamental capacity for prediction - as formulated by the predictive coding of music model. This Review elucidates how this formulation of music perception and expertise in individuals can be extended to account for the dynamics and underlying brain mechanisms of collective music making. This in turn has important implications for human creativity as evinced by music improvisation. These recent advances shed new light on what makes music meaningful from a neuroscientific perspective.

Toward children’s cognitive development from the perspective of neurolaw: implications of Roper v Simmons

After reaching the age of criminal responsibility, children are deemed capable of having committed criminal offenses. In this regard, the level of criminal responsibility depends on cognitive development and the type of offense committed. Cognitive development is a process of the growth of perception, thinking and reasoning in children. This concept is frequently referred to in cognitive neuroscience literature. Recently, the U.S. Supreme Court’s decision in Roper v Simmons has substantially changed attitudes toward juvenile delinquency, considering the fact that cognitive development continues until early adulthood. The present study attempts to scrutinize this case and explain cognitive development by its factors from an interdisciplinary perspective, combining methods and theories from neuroscience and criminal law.

Effects of tDCS on the attentional blink revisited: A statistical evaluation of a replication attempt.

The attentional blink (AB) phenomenon reveals a bottleneck of human information processing: the second of two targets is often missed when they are presented in rapid succession among distractors. In our previous work, we showed that the size of the AB can be changed by applying transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex (lDLPFC) (London & Slagter, Journal of Cognitive Neuroscience, 33, 756-68, 2021). Although AB size at the group level remained unchanged, the effects of anodal and cathodal tDCS were negatively correlated: if a given individual's AB size decreased from baseline during anodal tDCS, their AB size would increase during cathodal tDCS, and vice versa. Here, we attempted to replicate this finding. We found no group effects of tDCS, as in the original study, but we no longer found a significant negative correlation. We present a series of statistical measures of replication success, all of which confirm that both studies are not in agreement. First, the correlation here is significantly smaller than a conservative estimate of the original correlation. Second, the difference between the correlations is greater than expected due to sampling error, and our data are more consistent with a zero-effect than with the original estimate. Finally, the overall effect when combining both studies is small and not significant. Our findings thus indicate that the effects of lDPLFC-tDCS on the AB are less substantial than observed in our initial study. Although this should be quite a common scenario, null findings can be difficult to interpret and are still under-represented in the brain stimulation and cognitive neuroscience literatures. An important auxiliary goal of this paper is therefore to provide a tutorial for other researchers, to maximize the evidential value from null findings.

İktisadi Beklentiler ve Karar Almada Deneyimsel ve Bilişsel Süreçler

In the process of forming expectations and decision-making, how brain processes internal and external information and experiences and the factors are affecting these processes are an important discussion. In this context, the relationship between an agent’s emotions and rational reasoning ability and that between expectation formation and decision-making process are important. In the mainstream economic literature, expectation and decision-making theories are formed by perspectives reliant on the cognitive aspects of these processes. However, such perspectives do not explain the relationship of emotions and affect with intuitive and experiential systems. In this respect, the relationship between the experiential system and the rational system must be analyzed. They are expressed in metaphors of mind and emotion in psychology, cognitive neuroscience, and behavioral economics literature, which should be included more intensively in economic methodology. The dual-process theories applied in the field of psychology work on the information processing and thinking systems of an individual. The distinction and interdependence between the rational reasoning of the brain and the experiential process of information processing, especially those of the dual-process theories, show that the framework of economic expectations and established theories of decisionmaking is insufficient to understand the process of forming those processes. To overcome this important deficiency in economic literature, it is concluded with the help of related literature that emotions affect the expectation and decision-making formation and that the experiential process in the brain works in a manner that works together collaboration with the rational system.

Neural Responses to a Putative Set-shifting Task in Children with Autism Spectrum Disorder.

While much progress has been made toward understanding the neurobiology of social and communication deficits associated with autism spectrum disorder (ASD), less is known regarding the neurobiological basis of restricted and repetitive behaviors (RRBs) central to the ASD diagnosis. Symptom severity for RRBs in ASD is associated with cognitive inflexibility. Thus, understanding the neural mechanisms underlying cognitive inflexibility in ASD is critical for tailoring therapies to treat this understudied yet pervasive symptom. Here we used a set-shifting paradigm adopted from the developmental cognitive neuroscience literature involving flexible switching between stimulus categories to examine task performance and neural responses in children with ASD. Behaviorally, we found little evidence for group differences in performance on the set-shifting task. Compared with typically developing children, children with ASD exhibited greater activation of the parahippocampal gyrus during performance on trials requiring switching. These findings suggest that children with ASD may need to recruit memory-based neural systems to a greater degree when learning to flexibly associate stimuli with responses. LAY SUMMARY: Children with autism often struggle to behave in a flexible way when faced with unexpected challenges. We examined brain responses during a task thought to involve flexible thinking and found that compared with typically developing children, those with autism relied more on brain areas involved in learning and memory to complete the task. This study helps us to understand what types of cognitive tasks are best suited for exploring the neural basis of cognitive flexibility in children with autism. Autism Res 2020, 13: 1501-1515. © 2020 International Society for Autism Research, Wiley Periodicals, Inc.

Choosing not to follow rules that will reduce the spread of COVID-19

In response to the COVID-19 pandemic, many authorities have implemented public health measures that place restrictions on individuals. Understanding how individuals respond to these new rules, particularly whether they are likely to follow or break them, is extremely important. Relational frame theory offers unique insights into rule-governed behavior, allowing researchers to develop functional-analytic interpretations of why a listener may understand a rule, have the required response established in their behavioral repertoire, and still choose not to follow the rule. Drawing from research on rule-following in accordance with relational frame theory and cognitive neuroscience, social psychology, and health literature, this paper presents reasons why a rule may be understood but not followed, identifying important considerations for implementing public health measures to reduce the spread of COVID-19. Specifically, rule-givers should attend to their credibility, authority and ability to mediate consequences, rule plausibility, establishing adequate motivative augmental control, whether the behavior specified in the rule opposes habits, and whether the message incites counterpliance.

Electrogastrography for psychophysiological research: Practical considerations, analysis pipeline, and normative data in a large sample.

Electrogastrography (EGG) is the noninvasive electrophysiological technique used to record gastric electrical activity by means of cutaneous electrodes placed on the abdomen. EGG has been so far mostly used in clinical studies in gastroenterology, but it represents an attractive method to study brain‐viscera interactions in psychophysiology. Compared to the literature on electrocardiography for instance, where practical recommendations and normative data are abundant, the literature on EGG in humans remains scarce. The aim of this article is threefold. First, we review the existing literature on the physiological basis of the EGG, pathways of brain‐stomach interactions, and experimental findings in the cognitive neuroscience and psychophysiology literature. We then describe practical issues faced when recording the EGG in young healthy participants, from data acquisition to data analysis, and propose a semi‐automated analysis pipeline together with associated MATLAB code. The analysis pipeline aims at identifying a regular rhythm that can be safely attributed to the stomach, through multiple steps. Finally, we apply these recording and analysis procedures in a large sample (N = 117) of healthy young adult male and female participants in a moderate (<5 hr) to prolonged (>10 hr) fasting state to establish the normative distribution of several EGG parameters. Our results are overall congruent with the clinical gastroenterology literature, but suggest using an electrode coverage extending to lower abdominal locations than current clinical guidelines. Our results indicate a marginal difference in EGG peak frequency between male and female participants, and that the gastric rhythm becomes more irregular after prolonged fasting.