Cognitive Processes Research Articles

The validity of studying healthy aging with cognitive tests measuring different constructs

A clinically useful characterization of the cognitive aging process requires the development of valid and robust behavioral tests, with an emphasis on explaining and understanding typical inter-individual variability in cognition. Here, using a dataset that includes behavioral scores collected with the National Institute of Health Toolbox Cognition Battery (NIHTB-CB) and other auxiliary tests, we examined (1) the differences between young and old adults across different cognitive domains, (2) the strength of across-subject correlations in behavioral test scores, (3) the consistency of low-dimensional behavioral representations across age using factor analysis, and (4) the accuracy of behavioral scores in predicting participants’ age. Our results revealed that (1) elderly females had better verbal episodic memory scores than elderly males, (2) across-subject correlations between behavioral tests varied with age group, (3) although a three-factor model explained the behavioral data in both age groups, some tasks loaded to different factors between the two groups, and (4) age-performance relationship (i.e. a regression model linking age to cognitive scores) in one group cannot be extrapolated to predict age in the other group, indicating an inconsistency in age-performance relationships across groups. These findings suggest that executive function tests might tap into different cognitive processes in different age groups, which might ultimately suggest that a statistically significant between-group difference in test performance might not always reflect differences in the same underlying cognitive processes. Overall, this study calls for more caution when interpreting age-related differences and similarities between age groups with different cognitive abilities even when the same tests are used.

Evolution of the Correlation Between Body Mass Index (BMI) and Agility of Primary School Students in North-Eastern Romania

Interacting with children's cognitive processes and mental health status, body mass index (BMI) could be analyzed in relation to motor performance. This study aims to analyse the relationship between BMI and agility of primary school students in the northeast of Romania. Hypothesis testing was done by analyzing data obtained from 3250 pupils (1605 girls and 1645 boys) aged 6 to 11 years old from the North-East of Romania. BMI was calculated based on height and weight, as well as agility through the 505 change of direction speed test. The sample was divided according to gender and age, and the differences and correlations were analysed. We assumed that our sample has a significant correlation of BMI with agility and that its strength increases with age, based on neural maturation. Children's results showed gender- and age-determined differences in anthropometric as well as motor skills. The development of Romanian girls and boys differs punctually at this stage, with the two genders having close BMI values at age 11. The time to complete the 505 test is close at age 6, with boys performing better by age 11. The correlation between BMI and agility has weak strength in the 6-11 years age group of Romanian students. It is significant in girls at 9 (r = 0.20) and 10 years (r = 0.15), and in boys from 7 (r = 0.20) to 10 years (r = 0.22). The data partially confirm our hypothesis, with the correlation existing in the 7-10 years age range, its strength having a fluctuating evolution. At 11 years the link between BMI and agility ceases to exist.

Markov Blankets and Cognitive Dysfunction in mTBI: Insights from Simulation Models

<p>Mild Traumatic Brain Injury (mTBI) is a prevalent neurological condition that can lead to persistent cognitive impairments, disrupting memory, attention, and executive function. In this study, we explore the mechanisms of cognitive decline in mTBI through the lens of Markov blankets—a theoretical framework that delineates the statistical boundary between the brain’s internal and external states. By simulating the impact of mTBI on sensory, active, internal, and external states, we demonstrate how disruptions to the Markov blanket structure contribute to impairments in predictive coding and cognitive processing. Our simulation introduces noise and connectivity reductions that mimic the neurometabolic and synaptic changes following mTBI, revealing delayed sensory processing, impaired motor function, and cognitive instability. These findings highlight the importance of Markov blankets in maintaining cognitive integrity and offer novel insights into the pathophysiology of post-concussion syndrome. Understanding how mTBI disrupts the brain's functional architecture through Markov blanket disturbances may inform more effective diagnostic and therapeutic approaches.</p>

Differential Resting-State Brain Characteristics of Skeleton Athletes and Non-Athletes: A Preliminary Resting-State fMRI Study.

(1) Background: This study investigates the resting-state brain characteristics of skeleton athletes compared to healthy age-matched non-athletes, using resting-state fMRI to investigate long-term skeleton-training-related changes in the brain. (2) Methods: Eleven skeleton athletes and twenty-three matched novices with no prior experience with skeleton were recruited. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity analyses were explored to investigate resting-state functional magnetic resonance imaging (rs-fMRI) data, aiming to elucidate differences in resting-state brain function between the two groups. (3) Results: Compared to the control group, skeleton athletes exhibited significantly higher ALFF in the left fusiform, left inferior temporal gyrus, right inferior frontal gyrus, left middle temporal gyrus, left and right insula, left Rolandic operculum, left inferior frontal gyrus, and left superior temporal gyrus. Skeleton athletes exhibit stronger functional connectivity in brain regions associated with cognitive and motor control (superior frontal gyrus, insula), as well as those related to reward learning (putamen), visual processing (precuneus), spatial cognition (inferior parietal), and emotional processing (amygdala), during resting-state brain function. (4) Conclusions: The study contributes to understanding how motor training history shapes skeleton athletes' brains, which have distinct neural characteristics compared to the control population, indicating potential adaptations in brain function related to their specialized training and expertise in the sport.

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-shot Learning Paradigm

Knowledge discovery and utilization are two essential cognitive processes that enable humans to understand the world and extract new insights from their surroundings. These processes have motivated machine learning studies, particularly zero-shot learning (ZS), which seeks to identify unseen concepts through the use of side information. Previous ZS studies primarily focused on utilizing existing knowledge to infer unseen events, yet they overlook the crucial process of knowledge discovery and the integrated modeling of these knowledge-aware processes. In this study, we present a comprehensive ZS learning approach that explores and evaluates the machine's abilities of discovering and utilizing knowledge. More specifically, to emulate human-like knowledge discovery and utilization processes, we propose a novel visual-aware ZS knowledge graph completion task for evaluation, incorporating a traditional ZS image classification task. Technically, we develop a unified ZS learning paradigm named Cognitive Learner (CoLa) to foster the two knowledge-aware abilities. Including a knowledge representation learning (KRL) module and a knowledge adaptation (KA) module, CoLa adapts well to the two specified tasks with the corresponding data. Extensive experiments on large-scale datasets demonstrate CoLa models’ outstanding performance over compared methods in the two ZS tasks, illustrating their superior ability of discovering and utilizing knowledge.

Diagnosing middle school students’ proficiency in constructing scientific explanations with the integration of chemical reactions and patterns: a cognitive diagnostic modeling approach

ABSTRACT Scientific explanation has been widely recognised as one of the primary proficiencies in global science education. From research and practical perspectives, investigating the cognitive process of constructing scientific explanations by integrating core ideas is essential to make sense of phenomena or solve problems. This study applied the cognitive diagnosis modeling (CDM) approach to diagnose students’ cognitive patterns of constructing scientific explanations by integrating chemical reactions and patterns. We localised three well-designed assessment tasks and correspondingly developed five cognitive attributes. Responses from 244 Grade 9 students in two middle schools were collected, scored, and analyzed. Results show that the five developed cognitive attributes are reliable and effective in identifying students’ cognitive challenges in constructing scientific explanations in a content-specific domain. In addition, we articulated students’ potential cognitive process of constructing scientific explanations. We identified a primary cognitive pathway that students may follow: making correct claims, finding sufficient evidence based on data patterns, and providing scientific principles for the reasoning process. The cognitive diagnosis results could be used to guide teachers in selecting teaching materials and strategies and arranging lesson sequences to support the development of students’ scientific explanations by integrating chemical reactions and patterns.

The Impact of Inside Out on the Mental Health of Children and Adolescents

This paper examines the impact of the film Inside Out on enhancing emotional self-awareness among children and adolescents. The research background highlights the current challenges young people face in recognizing and managing their emotions, exacerbated by social media and modern life pressures. The paper identifies a specific problem: the difficulty children and adolescents encounter in understanding their emotions amidst high stress and unrealistic online comparisons. Inside Out is proposed as a solution, offering a clear framework by personifying emotions-Joy, Sadness, Anger, Fear, and Disgust-as characters to simplify complex emotional processes. The research findings demonstrate that Inside Out significantly aids in emotional self-awareness by illustrating the value of all emotions and their roles in personal development. Key scenes in the film, such as the conflict between Joy and Sadness and the depiction of core memories shaping personality traits, provide concrete examples of how emotions influence behavior and decision-making. These visual representations help children understand that experiencing a range of emotions is natural and necessary for emotional balance. The paper concludes that Inside Out effectively reduces emotional confusion and enhances self-awareness by portraying emotions as integral and purposeful components of mental processes. This research is significant as it underscores the educational value of media in emotional learning and suggests that Inside Out serves as a powerful tool for improving emotional cognition and mental health among young audiences.

Emotional comorbidities in epilepsy result from seizure-induced corticosterone activity

People with epilepsy often have psychiatric comorbidities that can significantly impair their quality of life. We previously reported that repeated seizure activity persistently alters endocannabinoid (eCB) signaling in the amygdala which accounts for comorbid emotional dysregulation in rats, however, the mechanism by which these alterations in eCB signaling within the epileptic brain occur is unclear. Endocannabinoid signaling is influenced by corticosterone (CORT) to modulate cognitive and emotional processes and a hyperactive hypothalamic-pituitary-adrenal (HPA) axis occurs in both people with epilepsy and nonhuman animal models of epilepsy.We employed selective pharmacological tools and a variety of approaches including whole-cell patch-clamp electrophysiology, behavioural paradigms and biochemical assays in amygdala kindled adult male Long-Evans rats. We aimed to determine whether seizures induce hypersecretion of CORT and the role this plays in eCB system dysregulation, impaired fear memory, and anxiety-like behaviours associated with seizure activity.Plasma CORT levels were significantly and consistently elevated following seizures over the course of kindling. Pre-seizure administration with the CORT synthesis inhibitor metyrapone prevented this seizure-induced CORT increase, prevented amygdala anandamide downregulation, and synaptic alteration induced by seizure activity. Moreover, treatment with metyrapone or combined glucocorticoid receptor (GR)/mineralocorticoid receptor (MR) antagonists prior to each elicited seizure were equally effective in preventing chronically altered anxiety-like behaviour and fear memory responses.Inhibiting seizure-induced corticosterone synthesis, or directly blocking the effects of CORT at GR/MR prevents deleterious changes in emotional processing and could be a treatment option for emotional comorbidities in epilepsy.

Analysing Transitivity Process of 'Star' Song Lyrics by Colde

In several industries, song's language is often created and arranged differently from traditional language. In other words, because music expresses songwriter's feelings, some listeners may find it difficult to understand the song's message or objectives. This study aims to identify kind of the transitivity process in Colde's song 'Star'. Descriptive research was used in this research. The lyrics of Colde's song 'Star' served as the research's data source. Meanwhile, the data consists of song lyrics' transitivity-processing clauses. An interactive model is used to analyze the data. The results indicate that the lyrics of the song contains four various types of transitivity processes: material, mental, existential, and relational processes. This illustrates that several transitivity mechanisms are used in the song's realization. The 'Star' song lyrics mostly use material processes, out of the four categories of transitivity processes identified. This illustrates the chosen song lyrics link to the physical actions that happen to part in social phenomena. Understanding the transitivity process can aid readers in comprehending the song's meaning. It also gives composers an advantage when composing song lyrics because it gives them an increased selection of words.

Imaging the translocator protein 18 kDa within cognitive control and declarative memory circuits in virally-suppressed people with HIV.

Virally-suppressed people with HIV (VS-PWH) show heterogeneity in patterns of cognitive dysfunction. To better understand the relationship between the neuroimmune response and cognition, we used positron emission tomography (PET) to image the translocator protein 18 kDa (TSPO). The study examined HIV-serostatus differences in TSPO as well as associations between regional TSPO and select cognitive processes defined using the Research Domain Criteria (RDoC) framework. Cross-sectional investigation in VS-PWH (n = 25) versus HIV-uninfected individuals (n = 18) of cognitive control and declarative memory, as well as [11C]DPA-713 PET measures of TSPO within cognitive control and declarative memory regions of interest. Group differences in [11C]DPA-713 binding (VT) in cognitive control or declarative memory regions were examined using linear mixed models. Tests of associations between factor-derived cognitive system measures and PET measures were performed, controlling for TSPO genotype. There were no group differences in any of the four factor-derived cognitive system measures. VS-PWH had higher log [11C]DPA-713 VT across cognitive control regions(unstandardized beta coefficient reflecting mean difference [B] = 0.23, SE = 0.11, 95% confidence interval [CI] 0.01, 0.45, P = 0.04) and declarative memory regions (B = 0.24, SE = 0.11, 95%CI 0.02, 0.45, P = 0.03). Higher log [11C]DPA-713 VT in cognitive control regions related to poorer cognitive control in each group, and to worse self-reported cognitive performance in VS-PWH. Log [11C]DPA-713 VT in each declarative memory region did not associate with measured declarative memory. A localized neuroimmune response marked by high TSPO in brain regions that subserve cognitive control may contribute to poorer cognitive control in VS-PWH.

Memory detection with concurrent behavioral, autonomic, and neuroimaging measures in a mock crime.

Concealed information test (CIT) has been utilized for long to perform single measurements. The combination of multiple measures outperforms single measures because of the diverse cognitive processes they reflect and the reduction in random errors facilitated by multiple measures. To further explore the performance of the CIT with multiple measurements, 57 participants were recruited and randomly assigned into guilty and innocent groups. Subsequently, simultaneously recorded reaction time (RT), skin conductance responses (SCRs), heart rate (HR), and neuroimaging data were collected from functional near-infrared spectroscopy (fNIRS) to detect participants' concealed information in a standard CIT. The results demonstrated that all indicators including RT (area under the curve (AUC) = 0.87), SCRs (AUC = 0.79), HR (AUC = 0.78), and fNIRS (channel 8, AUC = 0.85) could differentiate guilty and innocent groups. Importantly, the use of multiple indicators achieved higher detection efficiency (AUC = 0.96) compared to the use of any single indicator. These results illustrate the effectiveness and feasibility of integrating multiple indicators for concealed information detection in CIT.

Cognitive Aspects of Translation: The Latest Research in Psycholinguistics and Cognitive Science

The study of the cognitive aspect of translation opens up new possibilities for understanding and analysing the translation process through the prism of cognitive science. By analysing the cognitive processes that take place in the translator's brain while performing translation, it is possible to reveal various aspects of this complex and multifaceted process. The purpose of this article is to conduct a literature review of cognition-oriented translation studies in order to contribute to the development of the science of translation studies. The method included the analysis of related literature from the scientific databases Scopus and Google Scholar. As a result of this study, advanced theoretical models were put forward and developed to reveal the so-called “black box” of the translator, which is considered a key aspect in understanding the cognitive processes of translation. These theoretical approaches aimed to uncover the internal mechanism and strategies used by the translator when performing translation in order to reveal and analyse how these processes occur in the translator's brain. Conclusions – the research focused on translation processes has great potential, as it uses the latest theoretical models and research methods from related cognitive disciplines such as cognitive psychology, cognitive linguistics, neurophysiology and computational linguistics. The paper attempts to identify challenges in cognitive translation research in order to contribute to a broader understanding of the cognitive aspects of translation and to help address key challenges in this area.

Adopting Theories Underlying Directed Technology Integration Strategies: Study Objectivist Learning Theories

This paper examines key theories underlying directed technology integration strategies in education, focusing on objectivist learning approaches. The study reviews and analyzes several influential theories, including B.F. Skinner's behaviorism, Atkinson and Shiffrin's information processing model, Robert Gagne's conditions of learning, and systems theory approaches to instructional design.The analysis reveals how these theories provide conceptual foundations for technology integration in education. Behaviorism emphasizes reinforcement and observable outcomes. Information processing theory explains memory and cognitive processes. Gagne's work highlights conditions for effective learning. Systems approaches offer frameworks for designing technology-enhanced instruction. While each theory offers valuable insights, an integrated approach incorporating behaviorist, cognitive, and constructivist perspectives may be most effective for technology-enhanced learning. Understanding these theoretical underpinnings can guide educators in developing more effective technology integration strategies and creating optimal learning conditions in digital environments. This paper synthesizes key objectivist learning theories relevant to educational technology, providing a theoretical foundation to inform technology integration practices in modern education.

Sensory-memory interactions via modular structure explain errors in visual working memory.

Errors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well-known error patterns typically associated with visual orientation perception. Recent experiments suggest that these errors continuously evolve during working memory, posing a challenge that neither static sensory models nor traditional memory models can address. Here, we demonstrate that these evolving errors, maintaining characteristic shapes, require network interaction between two distinct modules. Each module fulfills efficient sensory encoding and memory maintenance, which cannot be achieved simultaneously in a single-module network. The sensory module exhibits heterogeneous tuning with strong inhibitory modulation reflecting natural orientation statistics. While the memory module, operating alone, supports homogeneous representation via continuous attractor dynamics, the fully connected network forms discrete attractors with moderate drift speed and nonuniform diffusion processes. Together, our work underscores the significance of sensory-memory interaction in continuously shaping stimulus representation during working memory.

Book review | Conceptualizing, designing, implementing, and evaluating writing interventions

Conceptualizing, Designing, Implementing, and Evaluating Writing Interventions, edited by Fien De Smedt, Renske Bouwer, Teresa Limpo, and Steve Graham, emerges as a comprehensive guide for researchers navigating the many steps to developing a writing intervention. Writing interventions are changes to a writer’s traditional approach which are meant to improve a writer’s cognitive processes in order to become a more skilled writer. These interventions are often implemented in classrooms, from primary schools to post-secondary education. This volume offers a start-to-finish overview of the intervention research process. The structure mirrors its title, dividing its contents into four crucial stages of intervention research. These stages are grounded in previous volumes on writing intervention research in the Brill Studies in Writing Series, which provide insight into how writing interventions have changed over the years and demonstrate a pattern of research design. Additionally, the need for a shared framework is emphasized through both reports from the National Commission on Writing (2004) and influential writing models by Graham (2018a, 2018b) and Hayes (2012), which recognize the significance of motivational factors in writing.

Weaving narrative threads with social psychological processes: Narrative modulations in online consumer reviews of a medical memoir

With the growing prevalence of health and illness narratives on digital platforms, research examining the social psychological processes involved in these storytelling environments remains scarce. This paper addresses this research gap by conducting a mixed-methods study of digital storytelling within the UK’s healthcare context, focusing on online consumer reviews of the medical memoir, Do no harm: stories of life, death and brain surgery (Marsh, 2014). Utilising computer-assisted text analysis methods of LIWC-22 and the Sketch Engine, linguistic cues for cognitive, affective, social and perceptual processes are identified in a corpus of online consumer reviews. A subsequent qualitative analysis, based on ‘narrative modulation’ (Huang, 2024, 2020), investigates the role of these processes in constructing and developing storylines across the user reviews. Finally, the study explores how consumer reviews in the form of ‘small stories’ challenge canonical narratives in the UK’s healthcare services. This research advances the field of narrative studies by emphasising the role of social psychological processes (Chung and Pennebaker, 2019) in modulating emerging, evolving and counter narratives in digital storytelling. The findings reveal an instrumental role of social psychological processes, as signalled by linguistic cues, in shaping narrative threads in online user reviews. This study not only develops narrative modulation as a valuable concept for narrative analysis, but also underscores its effectiveness when combined with computer-assisted text analysis tools for in-depth examinations of narrative data. Furthermore, it provides critical insights into digital storytelling in healthcare contexts, promoting knowledge transfer across narrative studies, stylistics, social psychology and medical humanities.

The “Cognitive” Architectural Design Process and Its Problem with Recent Artificial Intelligence Applications

The connection between cognitive science and the architectural design process reveals significant gaps that limit the full potential of creating effective built environments. A key issue is the insufficient integration of cognitive principles into design workflows. Architects frequently rely on traditional methods and aesthetic considerations without fully understanding how spatial configurations influence human cognition and behavior. While recent AI applications in architecture, such as Computer-Aided Drafting (CAD), Building Information Modeling (BIM), and interactive web and VR presentations, show promising advancements, AI still struggles with complex architectural functions. AI lacks the creativity and imagination inherent in human cognition. It operates based on fixed programming, producing specific outcomes and requiring human oversight to apply insights from one dataset to another. The primary challenge in using AI for architectural design is ensuring minimal design flaws, as replicating human cognitive abilities with AI and various machine learning techniques remains difficult. This research paper aims to explore the relationship between cognitive science, artificial intelligence, and the architectural design process through four main objectives: First, to investigate the integration of AI with current architectural software applications. Second, to examine potential connections between AI and major architectural design trends. Third, to define two frameworks for the Cognitive Architectural Design Process to guide the development of AI systems in architectural design by analyzing key cognitive design theories. Finally, to create a proposed "Architectural Design Process-Cognitive Pilot Map" from an architectural perspective to aid AI programmers in developing architecture design software applications.

Translation and validation of the abbreviated Prefrontal Symptoms Inventory (PSI-20): A tool for assessing prefrontal symptoms in English-speaking populations.

This study introduces the translation and validation of the Prefrontal Symptoms Inventory (PSI) into English, aiming to provide an ecologically valid tool for assessing prefrontal symptoms in English-speaking populations in the United States. The prefrontal cortex (PFC) plays a crucial role in executive functions and other higher-order cognitive processes, with dysfunctions in this area associated with various cognitive, emotional and behavioural changes. Despite the existence of established tools like the Dysexecutive Questionnaire (DEX), the PSI addresses limitations found in the literature, presenting a novel ecologically valid tool for assessing prefrontal symptoms. The current study, involving 226 English-speaking participants, lays a foundational step for validating the PSI for use in a new population. Semi-confirmatory factorial analysis revealed a unidimensional structure, mirroring the Spanish version with robust fit indicators. Additionally, in assessing convergent validity, the abbreviated version (PSI-20) exhibited high correlations with DEX scores and moderate correlations with Psychological Stress Scale and General Health Questionnaire-12 scores. These findings align with previous reports, supporting the PSI-20's measurement of similar constructs related to prefrontal cortex activity and mental health components. The results of this study overall highlight the PSI's potential contribution to advancing prefrontal symptom evaluation in clinical and non-clinical settings.

New Perspective of Multi-dimensional Approach for the Management of Attention-deficit Hyperactivity Disorder: A Review

One of the most common mental diseases in childhood, attention-deficit/hyperactivity disorder (ADHD) often lasts into adulthood for many individuals. The neurodevelopmental condition known as ADHD impacts three areas of the brain: hyperactivity, impulsivity, and attention. The visual field is where attention is most affected by ADHD. Non-strabismic binocular vision disorder (NSBVD), which impairs eye coordination and makes it challenging to focus, has been linked to ADHD. Through a critical cognitive process called visual attention, humans are able to take in and organize information from their visual environment. This greatly affects how one observes, processes, and understands visual information in day-to-day living. Vision therapy is a non-invasive therapeutic approach that aims to improve visual talents and address visual attention deficits. This study aims to provide an overview of the research on the many approaches to treating ADHD, the relationship between NSBVD and ADHD, and whether vision therapy is a viable treatment option for ADHD. After a comprehensive search of many online resources, relevant studies were found. The review's findings provide insight into the range of ADHD patients' treatment choices. In order to improve treatment outcomes, non-pharmacological treatments can be employed either alone or in conjunction with medicine. Medicine by itself is insufficient and has several severe side effects when used continuously. The efficacy of vision therapy in improving visual attention and making recommendations for potential directions for further research in this field. Multiple studies are needed to identify the most effective treatment modalities for achieving positive outcomes for ADHD patients.

Language mediation training and the foreign‑language effect in moral decision‑making*

Abstract Moral cognition is an emerging field investigating the cognitive underpinnings of moral judgement and moral decision-making. Of particular interest for Cognitive Translation and Interpreting Studies (CTIS) is the impact of the use of a foreign language on the cognitive processes associated with moral decision making, what has been labeled “Foreign Language Effect” (FLE). Using a second language has been reported to reduce decision-making biases, doing away with framing effects in risk aversion settings. At the same time, moral dilemmas posed in a second language prompt more utilitarian responses than when presented in the subjects’ native tongues. These results beg the following question for the CTIS scholar: does language mediation training mitigate the FLE? This paper reports on an exploratory study investigating the impact of language mediation training on the FLE. Drawing from Costa et al. (2014), 1st and 4th year, bilingual students in a Translation and Interpreting degree are presented with the trolley dilemma both in their L1, L2, and L3. Initial results seem to indicate that language mediation training might have an impact on the FLE. However, the limitations of the study suggest the need for further exploration of the intersection between language mediation training and the FLE.