Task Conditions Research Articles

Morphological awareness and reading comprehension: to what extent do semantic relations in the classic sentence completion task influence associations?

AbstractIt is well-established that morphological awareness is related to reading comprehension. Morphological awareness is often assessed with a sentence completion task, in which children are asked to complete a sentence with a related word (e.g., “warm. He chose the jacket for its __”). As evident from this classic example, semantic relations could influence performance because warmth is related in meaning to jacket. We examine whether the degree of semantic relations in the sentence completion task influences the association between morphological awareness and reading comprehension. In grade 3, English-speaking children did a sentence completion task in two conditions: one with sentences designed to have high semantic relations with the target and another with low. Children also completed control measures of non-verbal reasoning, vocabulary, phonological awareness, working memory, and word reading fluency. At grade 4, children completed reading comprehension. Hierarchical regression analyses showed that performance on both conditions of the sentence completion task (i.e., high and low semantic relations) significantly predicted reading comprehension, after all controls. Intriguingly, when both tasks were in the same regression, only performance on the high semantic relations task made a unique contribution to reading comprehension. The findings confirm the contribution to reading comprehension of morphological awareness, assessed with the sentence completion task, and show the relevance of semantic dimensions to these relations. As such, findings appear to validate the use of sentence completion to assess morphological awareness and highlight its capture of the multidimensional nature of morphological awareness, including its semantic dimensions.

On the localization of reward effects in overlapping dual tasks.

In dual-task (DT) situations, performance deteriorates compared with single-task situations. Such performance decrements are frequently explained with the serial scheduling of the response selection stages constituting a bottleneck. Proof of this assumption stems from the observation that response times for the second task (task 2; RT 2) increase with decreasing stimulus-onset asynchrony (SOA).In this study, we investigated how the reward prospect for task 1 performance affects task 1 and task 2 processing. For that purpose, we relied on the psychological refractory period paradigm (PRP) as a chronometric tool, to determine the locus of the reward effect in the processing chain of both tasks.We obtained improved task 1 and task 2 performance; as indicated by reduced RTs in the reward compared to the no reward condition of task 1 and task 2. Furthermore, the reward effect propagated at short SOA from task 1 onto task 2, suggesting that the locus of the reward effect can be pinpointed before or at the bottleneck of task 1. Importantly, the mean reward effect on task 1 was increased compared to task 2, thus indicating that parts of the reward effect were not propagated onto task 2, therefore affecting task 1 motor processes.In Experiment 2, we tested for the locus of the effect propagation to task 2. Therefore, we implemented a difficulty manipulation of the response selection of task 2. The results indicate that the reward effect is propagated from task 1 onto the response selection stage of task 2.

Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico.

Large-scale neural recording with single-neuron resolution has revealed the functional complexity of the neural systems. However, even under well-designed task conditions, the cortex-wide network exhibits highly dynamic trial variability, posing challenges to the conventional trial-averaged analysis. To study mesoscale trial variability, we conducted a comparative study between fluorescence imaging of layer-2/3 neurons in vivo and network simulation in silico. We imaged up to 40,000 cortical neurons' triggered responses by deep brain stimulus (DBS). And we build an in silico network to reproduce the biological phenomena we observed in vivo. We proved the existence of ineluctable trial variability and found it influenced by input amplitude and range. Moreover, we demonstrated that a spatially heterogeneous coding community accounts for more reliable inter-trial coding despite single-unit trial variability. A deeper understanding of trial variability from the perspective of a dynamical system may lead to uncovering intellectual abilities such as parallel coding and creativity.

Further perceptions of probability: Accurate, stepwise updating is contingent on prior information about the task and the response mode.

To adapt to an uncertain world, humans must learn event probabilities. These probabilities may be stationary, such as that of rolling a 6 on a die, or changing over time, like the probability of rainfall over the year. Research on how people estimate and track changing probabilities has recently reopened an old epistemological issue. A small, mostly recent literature finds that people accurately track the probability and change their estimates only occasionally, resulting in staircase-shaped response patterns. This has been taken as evidence that people entertain beliefs about unknown, distal states of the world, which are tested against observations to produce discrete shifts between hypotheses. That idea stands in contrast to the claim that people learn by continuously updating associations between observed events. The purpose of this article is to investigate the generality and robustness of the accurate, staircase-shaped pattern. In two experiments, we find that the response pattern is contingent on the response mode and prior information about the generative process. Participants exist on continua of accuracy and staircase-ness and we only reproduce previous results when changing estimates is effortful and prior information is provided-the specific conditions of previous experiments. We conclude that explaining this solely through either hypotheses or associations is untenable. A complete theory of probability estimation requires the interaction of three components: (i) online tracking of observed data, (ii) beliefs about the unobserved "generative process," and (iii) a response updating process. Participants' overt estimates depend on how the specific task conditions jointly determine all three.

Autistic adults exhibit holistic face processing: evidence from inversion and composite face effects

Holistic processing is commonly measured by the face inversion effect (FIE) and the composite face effect (CFE). Previous studies examining whether individuals with autism spectrum disorder (ASD) employ holistic processing using either FIE or CFE have reported inconclusive results. By adopting a customized composite face paradigm, the present study aims to simultaneously assess both the inversion and the composite effects of holistic processing in autistic and neurotypical adults. We tested 24 adults with ASD and 24 neurotypical (NT) adults matched in age, gender, and years of education. Participants viewed sequentially presented composite faces in three Presentation Modes (aligned, inverted, and misaligned) with three Stimuli Conditions (same, composite, and different) and judged whether the top half was the same. For the dependent variables, we calculated a “performance index” in the form of the accuracy/response time of each stimuli condition in each presentation mode. The FIE and CFE were computed to index the magnitude of holistic processing. Our results showed that the NT group responded more accurately in less time than the ASD group across task conditions. Notably, both the NT and the ASD groups exhibited a significant FIE with similar magnitude. Likewise, both the NT and the ASD groups showed a greater-than-zero CFE. Moreover, individuals’ CFE positively correlated with FIE and negatively correlated with the AQ scores for all participants. In summary, individuals with ASD exhibit holistic processing when viewing faces, evidenced by the presence of both FIE and CFE and the positive correlations between the two effects.

Психологическая работа с сотрудниками органов внутренних дел Российской Федерации, выполняющими служебные обязанности в особых условиях

The problem of psychological work with employees of the internal affairs bodies of the Russian Federation at all stages of their official duties in special conditions is considered. The goal is to develop and test methodological recommendations for conducting psychological work with employees of the internal affairs bodies of the Russian Federation performing official duties in special conditions. Materials and methods. The total sample of the study consisted of 244 people aged 21 to 55 years from among psychologists of the Ministry of Internal Affairs of the Russian Federation, the National Guard and the Ministry of Defense. Psychological conversations were conducted with psychologists from internal affairs bodies and other law enforcement agencies. A survey of psychologists from the internal affairs bodies of the Russian Federation was conducted to identify the main problems of psychological work with employees of the internal affairs bodies of the Russian Federation who performed official duties in special conditions. The methodological recommendations developed as a result of the study underwent expert evaluation. The expert group was formed from among the most experienced psychologists of the internal affairs bodies of the Russian Federation. Results and discussion. According to the survey results, it was revealed that: 96% of the psychologists surveyed have experience working with employees after they have completed official tasks in special conditions; 53% of psychologists surveyed have experience working with employees who have been injured, traumatized, disfigured and 43% with members of their families; significantly fewer psychologists have experience working with family members of employees who died in the line of duty (10%); only 5% of the surveyed psychologists have experience in providing emergency psychological assistance to employees in the process of performing operational and official tasks in special conditions. Also, based on the results of the survey, the most effective methods of psychological assistance to employees of the internal affairs bodies of the Russian Federation were determined during and after the performance of their official duties in special conditions, as well as the most effective methods of providing psychological assistance to members of their families.

Using an Automated Operant Conditioning Procedure to Test Colour Discrimination in Two Juvenile Piranhas, Pygocentrus nattereri: A Lesson on Failures and Pitfalls and How to Avoid Them

Most studies on the cognitive abilities of fish have focused on model organisms adopted in behavioural neuroscience. To date, little attention has been devoted to characiformes fish and we record a lack of cognitive investigation on the piranha. In this study, we conducted a preliminary set of experiments to assess whether red-bellied piranhas (Pygocentrus nattereri) can solve an automated operant conditioning task, specifically, a reversal learning task. In Experiment 1, the fish were required to discriminate between red and green, while in Experiment 2, they had to discriminate between white and yellow. In either case, we found no evidence of learning capacities with our protocol after extensive training exceeding one thousand trials overall. In Experiment 3, we simplified the learning task by using achromatic stimuli (black and white discrimination) and always presenting the reinforced stimulus on the same side of the tank (a combination of response learning and place learning). Subjects did learn how to discriminate between the colours, although no subject was able to reach the criterion in the subsequent reversal learning task, suggesting that piranhas may be limited in their cognitive flexibility. However, our training procedure may have been inefficient in addressing this issue. We outline some potential limitations of the current methodology to help to establish a more effective approach for investigating operant conditioning in this species.

Leadership Qualities of the Future Officers as an Innovative Way of Developing Moral Resistance

In today's world, where the situation is constantly escalating and new geopolitical challenges are being created, some leaders-officers possess the quality of leadership and moral stability to perform various tasks and lead their units to victory. The author analyzes the main components of leadership that contribute to the military personnel’s effective training and determines the relationship between leadership qualities and the ability of officers to withstand moral and ethical challenges. It is especially important to pay attention to innovative methods of education that contribute to increasing the personal responsibility and moral stability of future military leaders in modern conditions. It is noted that future officers’ moral stability is a key aspect of the successful performance of tasks in conditions of danger and stress, officers must not only physical training but also a strong moral spirit that allows them to defend their principles and values, independent of complex requirements. Therefore, leadership qualities are one of the key components that contribute to the formation of moral stability of future officers of the Armed Forces of Ukraine and help create a strong foundation for professional development and success in a military career. A researched type of resilience that allows officers to remain strong and determined even in the most difficult situations without compromising their principles and duties. Leadership and moral stability, which are integral aspects of successful professional training of future officers of the Armed Forces of Ukraine, are characterized.

Neural mechanisms of reward processing in preadolescent irritability: Insights from the ABCD study

Elevated youth irritability is characterized by increased proneness to frustration relative to peers when rewards are blocked, and is a transdiagnostic symptom that predicts multiple forms of psychopathology and poorer socioeconomic outcomes in adulthood. Although mechanistic models propose that irritability is the result of aberrant reward-related brain function, youth irritability as it relates to multiple components of reward processes, including reward anticipation, gain, and loss, has yet to be examined in large, population-based samples. Data from the Adolescent Brain and Cognitive Development (ABCD) baseline sample (N = 5923) was used to examine associations between youth irritability (measured by parent-report) and reward-related brain activation and connectivity in a large, preadolescent sample. Preadolescents (M age = 9.96 years, SD = 0.63) performed the Monetary Incentive Delay task during functional MRI acquisition. In the task, during the anticipation period, participants were informed of the upcoming trial type (win money, lose money, no money at stake) and waited to hit a target; during the feedback period, participants were informed of their success. Whole brain and region of interest (ROI) analyses evaluated task conditions in relation to irritability level. Preadolescents with higher compared to lower levels of irritability demonstrated blunted prefrontal cortex activation in the anticipation period and exaggerated striatum-prefrontal connectivity differences among reward conditions during the feedback period. These effects persisted after adjusting for co-occurring anxiety, depression, and attention-deficit/hyperactivity disorder symptoms. These findings provide evidence for the role of reward salience in pathophysiological models of youth irritability, suggesting a mechanism that may contribute to exaggerated behavioral responses.

Effects of ketamine on frontoparietal interactions in a rule-based antisaccade task in macaque monkeys.

Cognitive control is engaged by working memory processes and high-demand situations like antisaccade, where one must suppress a prepotent response. While it is known to be supported by the frontoparietal control network, how intra- and inter-areal dynamics contribute to cognitive control processes remain unclear. N-Methyl-D-aspartate glutamate receptors (NMDARs) play a key role in prefrontal dynamics that support cognitive control, and its antagonists, such as ketamine, are known to alter task-related prefrontal activities and impair cognitive performance. However, the role of NMDAR in cognitive control-related frontoparietal dynamics remain underexplored. Here, we simultaneously recorded local field potentials and single unit activities from lateral prefrontal (lPFC) and posterior parietal cortices (PPC) in two male macaque monkeys during a rule-based antisaccade task, with both Rule-Visible (RV) and Rule-Memorized (RM) conditions. In addition to altering the E/I balance in both areas, ketamine had a negative impact on rule-coding in true oscillatory activities. It also reduced frontoparietal coherence in a frequency- and rule-dependent manner. Granger prediction analysis revealed that ketamine induced an overall reduction in bidirectional connectivity. Among antisaccade trials, a greater reduction in lPFC-PPC connectivity during the delay period preceded a greater delay in saccadic onset under the RM condition, and a greater deficit in performance under the RV condition. Lastly, ketamine compromised rule coding in lPFC neurons in both RV and RM conditions, and in PPC neurons only in the RV condition. Our findings demonstrate the utility of acute NMDA receptor antagonist in understanding the mechanisms through which frontoparietal dynamics support cognitive control processes.Significance statement A low dose of ketamine is known to induce a transient cognitive control deficit in healthy humans and animals, but it remains unclear whether this deficit is related to a frontoparietal dysconnection. In macaque monkeys performing a rule-based pro- and anti-saccade task, we found that ketamine impaired information coding in frontoparietal neuron, local oscillations and inter-areal synchrony in a rule- and frequency-dependent manner. Notably, under the antisaccade rule, the amount of impairment in task performance could be predicted by the loss in fronto-parietal connectivity in the period just before the monkeys responded. The observations support the utility of NMDA receptor antagonists like ketamine as a tool to understand the role of frontoparietal dynamics in cognitive control.

Competitive plasticity to reduce the energetic costs of learning.

The brain is not only constrained by energy needed to fuel computation, but it is also constrained by energy needed to form memories. Experiments have shown that learning simple conditioning tasks which might require only a few synaptic updates, already carries a significant metabolic cost. Yet, learning a task like MNIST to 95% accuracy appears to require at least 108 synaptic updates. Therefore the brain has likely evolved to be able to learn using as little energy as possible. We explored the energy required for learning in feedforward neural networks. Based on a parsimonious energy model, we propose two plasticity restricting algorithms that save energy: 1) only modify synapses with large updates, and 2) restrict plasticity to subsets of synapses that form a path through the network. In biology networks are often much larger than the task requires, yet vanilla backprop prescribes to update all synapses. In particular in this case, large savings can be achieved while only incurring a slightly worse learning time. Thus competitively restricting plasticity helps to save metabolic energy associated to synaptic plasticity. The results might lead to a better understanding of biological plasticity and a better match between artificial and biological learning. Moreover, the algorithms might benefit hardware because also electronic memory storage is energetically costly.

Cerebral hyperactivation across the Alzheimer's disease pathological cascade.

Neuronal dysfunction in specific brain regions or across distributed brain networks is a known feature of Alzheimer's disease. An often reported finding in the early stage of the disease is the presence of increased functional MRI (fMRI) blood oxygenation level-dependent signal under task conditions relative to cognitively normal controls, a phenomenon known as 'hyperactivation'. However, research in the past decades yielded complex, sometimes conflicting results. The magnitude and topology of fMRI hyperactivation patterns have been found to vary across the preclinical and clinical spectrum of Alzheimer's disease, including concomitant 'hypoactivation' in some cases. These incongruences are likely due to a range of factors, including the disease stage at which the cohort is examined, the brain areas or networks studied and the fMRI paradigm utilized to evoke these functional abnormalities. Additionally, a perennial question pertains to the nature of hyperactivation in the context of Alzheimer's disease. Some propose it reflects compensatory mechanisms to sustain cognitive performance, while others suggest it is linked to the pathological disruption of a highly regulated homeostatic cycle that contributes to, or even drives, disease progression. Providing a coherent narrative for these empirical and conceptual discrepancies is paramount to develop disease models, understand the synergy between hyperactivation and the Alzheimer's disease pathological cascade and tailor effective interventions. We first provide a comprehensive overview of functional brain changes spanning the course from normal ageing to the clinical spectrum of Alzheimer's disease. We then highlight evidence supporting a close relationship between fMRI hyperactivation and in vivo markers of Alzheimer's pathology. We primarily focus on task-based fMRI studies in humans, but also consider studies using different functional imaging techniques and animal models. We then discuss the potential mechanisms underlying hyperactivation in the context of Alzheimer's disease and provide a testable framework bridging hyperactivation, ageing, cognition and the Alzheimer's disease pathological cascade. We conclude with a discussion of future challenges and opportunities to advance our understanding of the fundamental disease mechanisms of Alzheimer's disease, and the promising development of therapeutic interventions incorporating or aimed at hyperactivation and large-scale functional systems.

Idea generation and planning time in second language academic writing: An empirical investigation at Howard College Campus, University of KwaZulu-Natal, Durban, South Africa

Idea generation is a cognitive process which underlies the production of coherent writing. However, little is known about the nature of this process and how it is affected by different preparatory conditions. The current study examines the effects of three planning time conditions: ‘planning time’ (10 minutes), ‘extended planning time’ (20 minutes) and ‘no planning time’ and two task conditions, namely ‘topic given’ and ‘topic and ideas given’, and their effect on the quality and the quantity of idea units produced in the planning notes and essays of 30 English Second Language (ESL) learners at a South African university. The study aims to replicate an earlier study by Ong, and tests four hypotheses: hypotheses 1 and 2 state that an extended planning time has a positive effect on both the quantity and the quality of ideas generated in planning notes (hypothesis 1) and essays (hypothesis 2). Hypotheses 3 and 4 state that additional ideas alongside a topic enhance the idea generation process in both planning notes (hypothesis 3) and essays (hypothesis 4). Our findings do not verify hypothesis (1) as neither in the planning notes nor the essays was the quantity of ideas affected by the planning time conditions. Hypothesis 2 was partially verified as the quality of ideas in the essays — but not in the planning notes — improved as an effect of an extended planning time. These results differ from Ong whose data fully support both hypotheses 1 and 2. Our data falsify hypotheses 3 and 4 as the topic-given condition consistently produced both a better quality and a larger quantity of ideas in the planning notes and in the essays of the participants. This finding concurs with Ong. In conclusion, the attempt at a replication of Ong only partially yielded the same results. Interestingly, the data indicate that the idea-generation process differed between the production of the planning notes and the production of the essays.

Evaluation of a finite state machine algorithm to measure stepping with ankle accelerometry: Performance across a range of gait speeds, tasks, and individual walking ability

Wearable sensors, including accelerometers, are a widely accepted tool to assess gait in clinical and free-living environments. Methods to identify phases and subphases of the gait cycle are necessary for comprehensive assessment of pathological gait. The current study evaluated the accuracy of a finite state machine (FSM) algorithm to detect strides by identifying gait cycle subphases from ankle-worn accelerometry. Algorithm performance was challenged across a range of speeds (0.4-2.6 m/s), task conditions (e.g., single- and dual-task walking), and individual characteristics. Specifically, the study included a range of treadmill speeds in young adults and overground walking conditions in older adults with neurological disease. Manually counted and algorithm-derived stride detection from acceleration data were evaluated using error analysis and Bland-Altman plots for visualization. Overall, the algorithm successfully detected strides (>96 % accuracy) across gait speed ranges and tasks, for young and older adults. The accuracy of an FSM algorithm combined with ankle-worn accelerometers, provides an analytical approach with affordable and portable tools that permits comprehensive assessment of gait unbounded by setting and proves to perform well in in walking tasks characterized by variable walking. These algorithm capabilities and advancements are critical for identifying phase dependent gait impairments in clinical and free-living assessment.

A universal hippocampal memory code across animals and environments.

How learning is affected by context is a fundamental question of neuroscience, as the ability to generalize learning to different contexts is necessary for navigating the world. An example of swift contextual generalization is observed in conditioning tasks, where performance is quickly generalized from one context to another. A key question in identifying the neural substrate underlying this ability is how the hippocampus (HPC) represents task-related stimuli across different environments, given that HPC cells exhibit place-specific activity that changes across contexts (remapping). In this study, we used calcium imaging to monitor hippocampal neuron activity as animals performed a conditioning task across multiple spatial contexts. We investigated whether hippocampal cells, which encode both spatial locations (place cells) and task-related information, could maintain their task representation even when their spatial encoding remapped in a new spatial context. To assess the consistency of task representations, we used advanced dimensionality reduction techniques combined with machine learning to develop manifold representations of population level HPC activity. The results showed that task-related neural representations remained stable even as place cell representations of spatial context changed, thus demonstrating similar embedding geometries of neural representations of the task across different spatial contexts. Notably, these patterns were not only consistent within the same animal across different contexts but also significantly similar across different animals, suggesting a standardized neural encoding or 'neural syntax' in the hippocampus. These findings bridge a critical gap between memory and navigation research, revealing how the hippocampus maintains cognitive consistency across different spatial environments. These findings also suggest that hippocampal function is governed by a neural framework shared between animals, an observation that may have broad implications for understanding memory, learning, and related cognitive processes. Looking ahead, this work opens new avenues for exploring the fundamental principles underlying hippocampal encoding strategies.

GLTScene: Global‐to‐Local Transformers for Indoor Scene Synthesis with General Room Boundaries

AbstractWe present GLTScene, a novel data‐driven method for high‐quality furniture layout synthesis with general room boundaries as conditions. This task is challenging since the existing indoor scene datasets do not cover the variety of general room boundaries. We incorporate the interior design principles with learning techniques and adopt a global‐to‐local strategy for this task. Globally, we learn the placement of furniture objects from the datasets without considering their alignment. Locally, we learn the alignment of furniture objects relative to their nearest walls, according to the alignment principle in interior design. The global placement and local alignment of furniture objects are achieved by two transformers respectively. We compare our method with several baselines in the task of furniture layout synthesis with general room boundaries as conditions. Our method outperforms these baselines both quantitatively and qualitatively. We also demonstrate that our method can achieve other conditional layout synthesis tasks, including object‐level conditional generation and attribute‐level conditional generation. The code is publicly available at https://github.com/WWalter-Lee/GLTScene.

Optimizing rehabilitation strategies in Parkinson’s disease: a comparison of dual cognitive-walking treadmill training and single treadmill training

Dual cognitive-walking treadmill training (DTT), designed to replicate real-life walking conditions, has shown promise effect in individuals with Parkinson’s disease (PD). This study aims to compare the effects of DTT versus single treadmill training (STT) on cognitive and walking performance under both single and dual task conditions, as well as on fall, patients’ subjective feeling, and quality of life. Sixteen individuals with PD were randomly assigned to DTT or STT group and underwent 8 weeks of training. The DTT group received treadmill training with cognitive loads, while the STT group received treadmill training without cognitive load. Outcome measures included gait parameters (speed, step length) and cognitive performance (reaction time, accuracy, composite score) under both single and dual task conditions. Unified Parkinson’s Disease Rating Scale-part III (UPDRS-III), Falls Efficacy Scale (FES), Patient Global Impression of Change (PGIC), and Parkinson’s Disease Questionnaire (PDQ-39) were also measured. Both DTT and STT groups showed increased comfortable walking speed and step length. Only the DTT group demonstrated significant improvements in cognitive composite score under both single and dual task conditions, as well as UPDRS-III, FES, and PDQ-39(p < 0.05). DTT can enhance cognitive function without compromising walking ability and also have real-world transferability.

Outcome devaluation as a method for identifying goal-directed behaviors in rats.

Goal-directed behaviors allow animals to act to satisfy needs and desires. The outcome devaluation task is an effective method for identifying goal-directed behaviors and distinguishing these from other types of behavior. Rats can be trained to lever-press for one or multiple distinct food rewards. During testing, the previously earned food-or a control food for comparison-is devalued by allowing the animal to freely feed on it until they are sated before testing lever-press performance under extinction conditions (no rewards are delivered). Behavior that adapts to reflect the new value of the outcome is considered goal-directed, whereas behavior that continues as in previous training despite the change in outcome value, is not. As more research groups have used this task, variability in the procedures used has increased. Here, we provide a reliable procedure for conducting the outcome devaluation task with appropriate controls. We describe the most common variants of the task and control conditions and discuss troubleshooting measures such as outcome pre-exposure, habituation to pre-feeding chambers and attention to animals' hunger levels. The method outlined can be executed in ~2 weeks including training (~8 d) and testing (1-4 d) by researchers who are familiar with performing behavioral tasks in laboratory rodents, although longer training may be considered for those who are interested in observing habitual control of behavior. This protocol should facilitate the comparison of results from different studies and laboratories, while allowing flexibility in the application of the outcome devaluation task to different research questions.

Consistent activation differences versus differences in consistent activation: Evaluating meta-analytic contrasts

Abstract Meta-analytic contrasts are a promising aspect of coordinate-based meta-analyses in neuroimaging research as they facilitate the statistical comparison of two meta-analytic results. They have been used for a multitude of comparisons, such as task conditions, cognitive processes, and groups. However, it remains to be tested how the results of meta-analytic contrasts relate to those of classic meta-analyses and vice versa. Here we present a comprehensive empirical investigation of this issue using four datasets from three different cognitive domains: working memory, working memory load, cognitive interference processing, and emotional face processing. For all four datasets, we compared the results of a standard meta-analysis across prototypical contrasts (condition A &amp;gt; condition B) reported in individual experiments with those of a contrast between two individual meta-analyses of the same conditions (meta-analysis condition A &amp;gt; meta-analysis condition B). In the meta-analytic contrasts similar brain regions as in the standard meta-analysis were found but with relatively distinct spatial activation patterns. Additionally, fewer regions were revealed in the meta-analytic contrasts, especially in areas where the conditions spatially overlapped. This can be ascribed to the loss of information on the strength of activations in meta-analytic contrasts, across which standard meta-analysis summarize. In one dataset, additional regions were found in the meta-analytic contrast, potentially due to task effects. Our results demonstrate that meta-analytic contrasts can yield similar results to standard meta-analyses but are sparser. This confirms the overall validity, but also limited ability to capture all regions found in standard meta-analyses. Notable differences observed in some cases indicate that such contrasts cannot be taken as an easy substitute for classic meta-analyses of experiment-level contrasts, warranting further research into the boundary conditions for agreement.

Dominant Strategies for Solving Sensorimotor Tasks in Students with Different Cognitive Resource Experience

The article introduces a new method for diagnosing the preferable cognitive resource strategy in university students. One’s personal experience of using cognitive resources defines the dominant strategies for solving sensorimotor tasks. Cognitive resource patterns can be described by using particular psychological indicators in order to select the optimal analysis method. The new method made it possible to model the situation of solving sensorimotor tasks and develop criteria for determining the strategies employed by university students to solve cognitive tasks in experimental conditions. The research involved 127 first-year students (18 y.o.) of Psychology, Tomsk State University. The strategies used by the students to solve sensorimotor tasks ranged from scarcity and heterogeneity to positive experience in cognitive resource application. Sensorimotor tasks proved to be an effective diagnostic marker of the cognitive development level during university education. The method also proved applicable as a cognitive simulator to develop optimal strategies in solving sensorimotor tasks of various levels of difficulty, as well as to reduce the existing deficiency in cognitive experience.